u/PalladiumCH

Personal ranking of shipping stocks in early October 2026, Sell on the way up, Increase dd depth, adding more names as always

Personal ranking of shipping stocks in early October 2026, Sell on the way up, Increase dd depth, adding more names as always

As we now enter Q4 2026 the ranking of shipping stocks is making progress by capturing more opinions, interviews and reports whilst trying to gain a better understanding of the cycle drivers.

You might be surprised to see selling 50% of TORM and Hafnia position. This is where it comes down to your approach and risk profile. Big fan of "Sell on the way up" so securing 34% return in just under 2 months works for me in my defense portfolio. I have no edge in timing the market and have been in shipping for 4 months now. But I do know that the historic average S&P 500 return is 8.5%, and beating that by a mile across two months is already a good starting point to rotate into maybe more stronger defense positions or segments believed to be early stage. Disclaimer: This is not advice in any form.

Have added Odfjell Drilling and Constellation Oil Services to my shipping due diligence though you could argue this is a seperate industry.

Changes made to my shipping portfolio:

  • Sold 50% of $TRMD and $HAFNI securing a 34% yield on the position
  • Mid size position remain unchanged in $FRO $SBLK $9104 Mitsui
  • Initial position now in $SNI and $ODF
  • Looking at $COSH and $ODL in the oil and gas offshore contract drilling

Just sharing some of the updates here as the complete ranking now has 70+ pages

  • Opinions:
    • Tankers: stronger near-term earnings, but a sharper reversal risk.
    • Dry bulk: the freight outlook can be constructive while ships remain expensive.
    • Containers: smaller charter owners can remain resilient after liner freight weakens.
    • Jackups: the scarcity thesis survives, but the dividend story is considerably weaker.
    • Offshore: local access and signed work are more useful than a broad recovery narrative.
  • Added four new names to the B Ranking with SET: $PSL NYSE: $NSW Euronext $MIL and Nasdaq $HMR thanks everyone for sharing new names and idea
  • Prompts and sections in the shipping ranking continue to grow including
    • Summaries from expert interviews and company updates
    • Extracting decision-relevant information using rational reasoning
    • Cycle Dashboard and Cycle Atlas
    • Workstreams with test questions specific to each shipping segement
    • Bear/Base/Bull  scenarious related to OIL with Brent trading at $50 $75 and $105
    • Set of reference cards to include contrarian and Bear views
    • Key test points to include
      • Update latest issuer statements
      • dividend-adjusted price
      • diluted shares
      • Deduct paid dividends from NAV

Now if you have read this far here are more details on the opinions that came up in articles and interviews as of 4 October 2026

  1. Tankers: stronger near-term earnings, but a sharper reversal risk. Poten highlights exceptional regional rates; Deutsche Bank’s Robertson challenges how much listed owners can actually capture, given route avoidance and disappearing cargo. Frontline’s realised earnings support the bullish operating case. TORM’s evidence shows that reduced clean-product capacity can coexist with lower cargo volumes. Company implication: Frontline offers exposure to crude-market strength; Hafnia and TORM need a separate product-market assessment. Upside comes from accessible cargo and paid voyages. Downside comes from refinery cuts, shorter sourcing routes and reopening that releases ships. “Disruption benefits all tankers” became much less convincing.
  2. Dry bulk: the freight outlook can be constructive while ships remain expensive. Doric’s Mouyis and Voutsinas support near-term freight conditions. MSI’s Will Fray questions whether vessel purchase prices earn acceptable returns without resale appreciation. Those views can both be right. Precious Shipping also acknowledges that strong freight can fund surveys and keep older ships trading. Company implication: Star Bulk and Himalaya need class-specific earnings and valuation tests. Longer ore voyages offer upside; deliveries, improving efficiency and delayed scrapping threaten it. Fleet age alone is a weaker bullish argument than we initially might assume.
  3. Containers: smaller charter owners can remain resilient after liner freight weakens. MSI’s Daniel Richards identifies limited charterable supply below 8,000 TEU and a lag between freight weakness and charter repricing. His warning is larger deliveries and cascading in 2027–28. Company implication: Euroseas, Ernst Russ and MPC Container Ships deserve different treatment from Maersk, Hapag-Lloyd and ZIM. Signed charters and favourable renewals support the lessors; expiry, counterparty weakness and cascading are their downside. This supports selective lessor research, rather than a blanket container upgrade.
  4. Jackups: the scarcity thesis survives, but the dividend story is considerably weaker. Borr’s cited industry figures show 11 rigs under construction, or 2.5% of the marketed fleet, rather than zero orders. Modern marketed utilisation was 91.7% at its August release. That supports operating leverage if tenders become paid contracts. Conversely, Finansavisen/Fearnley’s lower regional tender estimates challenge a uniform high-dayrate assumption. Company implication: Borr is a conditional cycle opportunity. Contract gaps, customer credit losses and principal amortisation beginning in 2027 can absorb the rate upside. Magni’s large FCFE sensitivities do not establish future dividend yields.
  5. Offshore: local access and signed work are more useful than a broad recovery narrative. Tidewater’s Quintin Kneen makes a specific case for Brazilian-built vessels improving market access. Odfjell Drilling provides a different source of visibility: Deepsea Bergen’s three-year award from early 2028, worth approximately $518m including mobilisation. Company implication: Tidewater’s upside depends on acquisition cash returns after integration and maintenance; Odfjell’s depends on executing and collecting contracted work. Neither should inherit the jackup supply argument automatically.
  6. Golar: stronger conviction about the business, lower conviction about protected equity downside. The filings establish Golar as the direct owned-FLNG exposure among the four names examined. The operating record and long contracts strengthen that case. However, the fourth vessel’s charter remained undisclosed, financing was incomplete, and Eni’s Perla timeline points beyond 2030. Company implication: The existing contracts support a long-term infrastructure thesis, while construction and funding make the whole equity a conditional add. Our 2030 model produced $42.42 base and $68.03 bull, versus the dated $49.21 reference; severe stress produced $7.43. These are assumption-sensitive valuations, not price forecasts. The deeper work materially weakened “downside covered”.
  7. High distributions and reported growth often conceal weaker recurring shareholder cash. NORDEN’s profits included substantial vessel-sale gains. MPC Oceanic’s economically attributable MPCC ownership was much smaller than its controlled holding. Flex’s H1 operating cash after principal repayments covered dividends only 0.38 times, before investing flows. Company implication: NORDEN’s value-and-contract case improved, but did not become an automatic buy. MPC Oceanic remained less compelling as a recurring income investment. Flex’s high yield requires freight and refinancing diligence; it does not provide FLNG exposure.

Some of the sources I work through to increase the depth of the due diligence:

Capital Link’s shipping-forum podcast records the dry-bulk panel from its 17th New York Maritime Forum, on 14 October 2025. https://podcasts.apple.com/ch/podcast/17th-annual-capital-link-new-york-maritime-forum-dry/id1886000764?i=1000755860347&l=en-GB

Seatrade Maritime News, from Informa, runs interviews with shipping executives on the industry’s current disputes, markets, and regulation. https://podcasts.apple.com/ch/podcast/seatrade-maritime-news-podcast/id1532703829?l=en-GB

FreightWaves Today is a daily logistics briefing on trucking, rail, air, and ocean freight for carriers, shippers, and brokers. https://podcasts.apple.com/ch/podcast/freightwaves-today/id1670227275?l=en-GB

Teekay’s June 2026 tanker update covers the rate spike after the Strait of Hormuz disruption and the record orderbook that follows it. https://youtu.be/PcN3pVO08AQ

Marine Money’s Asia Week panel, filmed in September 2025, asks whether dry bulk is at a turning point on supply, tariffs, aging fleets, and decarbonization. https://youtu.be/WGU1PlMpbiQ

Capital Link’s September 2026 monthly pulse, with Optima Shipping Services, compares record crude-tanker earnings with a stronger dry-bulk tape and the supply risk in both. https://youtu.be/LpUQJ59xrig

Samples of what key test points look like on company level:

HAFNI

Deduct paid dividends from NAV, reconcile TORM stake without double-counting and test MR/LR supply versus refinery trade.

TRMD

Update ex-dividend NAV, remaining MR commitments and normalised free cash flow.

INSW

Update latest issuer statements, dividend-adjusted price, diluted shares, debt/leases, remaining capex and segment-specific normalised cash flow before changing the historical score.

MOL

Update latest issuer statements, dividend-adjusted price, diluted shares, debt/leases, remaining capex and segment-specific normalised cash flow before changing the historical score.

SNI

Separate Stolthaven, Stolt Tankers and tank containers; reconcile capex/debt and group dividend coverage.

ODF

Model contracts, parcel mix, stainless/coated fleet competition, partner-charter obligations and dividend capacity under lower TCE.

SBLK

Update offering completion, diluted shares, class-specific rate exposure and 2027 supply.

ASC

Update latest issuer statements, dividend-adjusted price, diluted shares, debt/leases, remaining capex and segment-specific normalised cash flow before changing the historical score.

Example of what the working progress looks like for building the Bear | Bull | Base case:

Product tankers

Bear: shorter routes, weaker exports, scheduled deliveries. Net rates/margins, utilisation, profit and NAV under pressure; capital returns only after mandatory payments.

Base: partial route normalisation, stable product exports, staggered deliveries. Partial normalisation, cash and NAV not constant at all.

Bull: longer export routes, scarce MR/LR availability and delivery delays. Higher appropriate rates/margins and utilisation can raise profit/NAV; growthscapex can still slow down dividends.

Scenario variables: MR/LR TCE and term fixtures, export volumes and actual deliveries. Delivery/recycling, asset values and trade assumptions must be mutually consistent. For businesses that do not own ships, margin/project value replaces vessel NAV.

Crude oil tankers

Bear: Route normalisation, lower exports, additional usable fleet. Net rates/margins, utilisation, profit and NAV under pressure; capital returns only after mandatory payments.

Base: partial normalisation; today's peak rates are not permanent. Partial normalisation, cash and NAV not constant at all.

Bull: persistent detours and tight tonnage on robust exports. Higher appropriate rates/margins and utilisation can raise profit/NAV; growthscapex can still slow down dividends.

Scenario variables: Cargoes, ballast days, rates and sale prices by age group. Delivery/recycling, asset values and trade assumptions must be mutually consistent. For businesses that do not own ships, margin/project value replaces vessel NAV.

Chemical tankers

Bear: Weak industry and COA renewals with fast delivery. Net rates/margins, utilisation, profit and NAV under pressure; capital returns only after mandatory payments.

Base: Contracts buffer, offer reduces spot margins. Partial normalisation, cash and NAV not constant at all.

Bull: Industrial recovery, stable COA prices and reductions. Higher appropriate rates/margins and utilisation can raise profit/NAV; growthscapex can still slow down dividends.

Scenario variables: COA renewal prices and volumes, spot TCE and deliveries of stainless-steel vessels.

Delivery/recycling, asset values and trade assumptions must be mutually consistent. For businesses that do not own ships, margin/project value replaces vessel NAV.

Dry Bulk

Bear: weakness in China/coal, ore ramp delayed, deliveries intact. Net rates/margins, utilisation, profit and NAV under pressure; capital returns only after mandatory payments.

Base: Gradual Guinea ramp, partial displacement of other ore sources. Partial normalisation, cash and NAV not constant at all.

Bull: more long ore/bauxit routes, healthy industry and slow deliveries. Higher appropriate rates/margins and utilisation can raise profit/NAV; growthscapex can still slow down dividends.

Scenario variables: Guinean cargoes net of other sources, steel, Capesize/smaller classes and deliveries.

Delivery/recycling, asset values and trade assumptions must be mutually consistent. For businesses that do not own ships, margin/project value replaces vessel NAV.

RoRo / PCTC

Bear: weak exports and new capacity push renewal rates. Net rates/margins, utilisation, profit and NAV under pressure; capital returns only after mandatory payments.

Base: Contracts buffer with growing fleet; moderate utilisation. Partial normalisation, cash and NAV not constant at all.

Bull: Long Asian export routes absorb new CEUs. Higher appropriate rates/margins and utilisation can raise profit/NAV; growthscapex can still slow down dividends.

Scenario variables: Vehicle/high-and-heavy volumes, net revenue/cbm, BAF collection and CEU deliveries.

Delivery/recycling, asset values and trade assumptions must be mutually consistent. For businesses that do not own ships, margin/project value replaces vessel NAV.

LPG

Bear: Arbitrage weak, shorter paths, many deliveries. Net rates/margins, utilisation, profit and NAV under pressure; capital returns only after mandatory payments.

Base: Exports grow with deliveries; changing channel effect. Partial normalisation, cash and NAV not constant at all.

Bull: US Asia volume and real diversions bind ships. Higher appropriate rates/margins and utilisation can raise profit/NAV; growthscapex can still slow down dividends. scenario variable: export volumes, price arbitrage, driven routes and available VLGC. Delivery/recycling, asset values and trade assumptions must be consistent together.

LNG-Carrier

Bear: Plants are late, ships are coming, refixing weak. Net rates/margins, utilisation, profit and NAV under pressure; capital returns only after mandatory payments.

Base: Cargo ramp gradually absorbs deliveries. Partial normalisation, cash and NAV not constant at all.

Bull: Project start ahead of plan and long routes snap modern ships. Higher appropriate rates/margins and utilisation can raise profit/NAV; growthscapex can still slow down dividends.

Scenario variables: Actual LNG cargoes, commissioning, technology-specific TC rates and deliveries. Delivery/recycling, asset values and trade assumptions must be mutually consistent. For businesses that do not own ships, margin/project value replaces vessel NAV.

FLNG projects

Bear: Start late, Capex higher, lower uptime. Net rates/margins, utilisation, profit and NAV under pressure; capital returns only after mandatory payments.

Base: contractual start and technically plausible ramp-up curve. Partial normalisation, cash and NAV not constant at all.

Bull: punctual start, high uptime, profitable new fixed contracts. Higher appropriate rates/margins and utilisation can raise profit/NAV; growthscapex can still slow down dividends.

Scenario variables: Shipyard milestones, financial close, acceptance and saleable production. Delivery/recycling, asset values and trade assumptions must be mutually consistent. For businesses that do not own ships, margin/project value replaces vessel NAV.

Diversified / Japanese Groups

Bear: correlated decline in several segments plus committed funds. Net rates/margins, utilisation, profit and NAV under pressure; capital returns only after mandatory payments.

Base: Segment equalisation with open holding discount. Partial normalisation, cash and NAV not constant at all.

Bull: better segments and cash acroval without peak new investment. Higher appropriate rates/margins and utilisation can raise profit/NAV; growthscapex can still slow down dividends.

Scenario variables: Segment FCF, dividends received by the holding company, capex and capital allocation. Delivery/recycling, asset values and trade assumptions must be mutually consistent. For businesses that do not own ships, margin/project value replaces vessel NAV.

Combination carriers

Bear: Return cargo is missing; ballast/cleaning costs are rising. Net rates/margins, utilisation, profit and NAV under pressure; capital returns only after mandatory payments.

Base: functional route pairs with normal market rates.

Partial normalisation, cash and NAV not constant at all.

Bull: more loaded days and profitable new route pairs.

Higher appropriate rates/margins and utilisation can raise profit/NAV; growthscapex can still slow down dividends.

Scenario variables: Ballast share, laden days, cleaning and the TCE premium over comparable markets.

Delivery/recycling, asset values and trade assumptions must be mutually consistent. For businesses that do not own ships, margin/project value replaces vessel NAV.

Offshore vessels

Bear: Projects postponed, reactivations increase offer. Net rates/margins, utilisation, profit and NAV under pressure; capital returns only after mandatory payments.

Base: Contract activity stable with selective reactivation. Partial normalisation, cash and NAV not constant at all.

Bull: more projects than operational ships/crew. Higher appropriate rates/margins and utilisation can raise profit/NAV; growthscapex can still slow down dividends.

Scenario variables: Tenders, committed backlog, mobilisation and technical availability. Delivery/recycling, asset values and trade assumptions must be mutually consistent. For businesses that do not own ships, margin/project value replaces vessel NAV.

Started work on reference cards to include contrarian and Bear views. Here are some samples:

Hafnia 8.8, TORM 8.6, INSW 7.8, and MOL and Stolt-Nielsen 7.7 each remain the leading historical references. Ties are displayed in canonical register order (MOL before Stolt); this does not establish newly measured relative superiority. A historical score of 7.0 or above means historically Active, not inexpensive today. A credible rotation requires separately confirmed improvement in the cycle, an attractive current valuation and sustainable financing.

- Hafnia: historical strengths are balance sheet, fleet size and distribution framework. The old prompt 13.97% TORM portion is outdated: TORM reported on the 18.09. 18.19%. This is the case in the United Kingdom, where there is a difference between the value of the investment, the purchase price/financing and the look-through exposure.

CEO-Vesting remains a dated governance checkpoint, not a newly measured operational burden.

TORM Participation Report, 18.09.

- TORM: Q2-TCE 59,301 USD/day; Q3 to 73% booked with 38,606 USD/day, stand 18.08. This isn't a current spot measurement. 36.50 USD NAV from 30.06. minus 2.40 USD payout results in mechanical 34.10 USD, but no current independent NAV. The prompt price 35.18 USD is an old reference, not today's entry price. TORM Q2,

26.08.

- INSW: mixed crude oil/product suspension; the historical balance sheet thesis continues to require a current debt, fleet and cash flow comparison. Do not capitalise special distributions as an eternal base dividend.

- MOL: broad business mix can dampen fluctuations; it does not replace sum-of-parts valuation and no test of capital allocation. LNG and equity risks remain visible separately.

- Stolt-Nielsen: Chemical tankers, terminals and logistics offer entry barriers other than mere spot fleets. The price must match normalised cash flow and investment needs; a historical quality score is not a valuation guarantee.

Other historical scores from 7.0: Odfjell 7.5; Star Bulk 7.5; Ardmore 7.2; NYK 7.1. Their entry capability remains open today as well.

Why high payouts do not guarantee a high ranking

For crude oil tankers, heavy freight can occur at the same time as expensive assets and future capacity building.

The old discount explains historical scores, but does not prove its present adequacy. DHT, FRO, ECO, TNK and

NAT each require their own fleet, balance sheet and cash flow tests.

At RoRo, long-term contracts and regional bottlenecks can protect against delivery waves. Therefore, the general statement of the old prompt that the segment is already in a downturn is not enough. For containers, the difference between liner cargo and owner charter is crucial. MPCC reported 85% coverage for 2027 and 60% for 2028; the Q2 presentation dates the charter book to 01.08.2026. This protection is not a sector-wide proof of an early cycle. 61% in the graphic are the open days for 2029, not the 2028 cover. MPCC Q2 correction, 07.09. / Q2 presentation.

Complementary cross-check to the historical top 10

Hafnia/TORM/Ardmore: The 2024-26 interview comparison does not justify a general bonus for high payouts.

Contractual or cyclical operational cash must bear renewal and capital service. The existing cases and triggers remain dated; new price/NAV tests are not finished.

Odfjell/Stolt-Nielsen: Fotland's network argument fits chemistry, not automatically with Stolt-Nielsen's entire terminal/container/tanker mix. Odfjell's corporate cross-check is listed in the 8 section. The speciality advantage shall be tested on the basis of relative margin and COA renewal, not by labelling.

INSW/FRO comparison: the existing milder treatment of INSW must prove itself in actual risk protection.

Frontline's high pre-overlay score proves no current undervaluation.

Star Bulk, MOL, NYK and WAWI: Do not throw together bulk, liner and car parts. The archives provide mechanisms and counterarguments; no newly collected, complete segment NAV calculation. The four old Thesis-Breakers per Top 10 case remain unmeasured, unless current observation is explicitly followed.

Stolt-Nielsen $SNI

Thesis: Tankers, terminals and tank containers are supposed to deliver more robust cash than a pure chemical tanker.

Valuation: historical score 7.7 from 2026-09-07; no current independent diluted NAV/share price.

Cycle exposure: chemical tankers. Return mechanism: dividend / cash yield; secondary asset-value / NAV re-rating.

Key catalyst: Segment cash and COA new prices; need for renewal versus holding selection.

Major risk: Terminal/container revenues are double counted to the fleet substance or require even high capex.

What would make the investment thesis wrong?

- Chemical contracts: volume-weighted COA net renewal rate falls in real > 10%, if any, comparable previous year mix in two periods. Source/measurement: COA 

Odfjell $ODF

Thesis: Chemical speciality and COAs are intended to support yield and distribution without eliminating supply risk.

Valuation: historical score 7.5 from 2026-09-07; no current independent diluted NAV/share price. Cycle exposure:

Chemical tanker. Return mechanism: Dividend / cash yield; secondary Freight-rate leverage, balance sheet deleveraging.

Key catalyst: Q3 gain versus guidance, COA reset and own/partner fleet access. Major risk: Increasing special capacity and charter-in fix costs hit lower volumes.

What would make the investment thesis wrong?

- COA price: comparable COA net renewals fall > 10% gg. Year-on-year in two quarters. Source/Measurement:

COA renewal data, Parcelmix, cost pass-through. As a result, structural price power and normal margin challenge.

- TCE buffer: realised TCE / all-in cash breakeven including charter-in costs < 1.0 in two quarters.

Source/measurement: quarterly reports, lease/partner charters and cash costs. Implication: revise the earnings and dividend model to reflect contractual obligations.

- Effective supply: Net DWT access of relevant stainless steel/coated classes exceeds cargo ton-mile growth by > 3 percentage points over two half-years. Source/Measurement: Class matching fleet, delivery and trading data.

Result: Specialisation does not treat as a general cycle immunity.

Star Bulk $SBLK

Thesis: Dry-Bulk rate lever and flexible payout; classwise cash costs and residual values determine the downside.

Valuation: historical score 7.5 from 2026-09-07; no current independent diluted NAV/share price. Cycle exposure:

Dry Bulk. Return mechanism: Freight-rate leverage; secondary Dividend / cash yield, asset value / NAV re-rating.

Key catalyst: booked rates, actual open days and cargo/delivery data by size class.

Major risk: Capesize optimism is transferred to smaller ships or already fixed days.

What would make the investment thesis wrong?

- Class breakers: own TCE mix / matching all-in cash breakers < 1.0 in two quarters, not only Baltic index level.

Source/Measurement: Fleet Mix, TCE, Offhire, Debt Service. Result: Rate lever loses extraction base; lower normal profit.

- Supply/Cargo-gap: Net DWT growth of exposed classes exceeds cargo-tonne-mile growth by > 3 percentage points in two half-year observations. Source/measurement: Fleet/Cargo data according to Cape/Panamax/Supra.

Result: Reweight class-related cycle theory and open days.

- Liquidity: bear-case funding coverage for 12 months < 1.0 after Drydock, Balloons, Leases and promised capex.

Source/measurement: liquidity, minimum cash, contract/tilgrim plan. Follow: Don't call downside survival secure.

- Capital discipline: buybacks at prices above conservative diluted NAV or unchartered vessel purchases with project IRR <= cost of capital. Source/measurement: actual execution prices, contemporaneous appraisals and purchase contracts. Implication: review the capital allocator thesis; a share price increase alone does not demonstrate a value-enhancing buyback.

The full-cycle assessments of the operator and capital 

Ardmore Shipping $ASC

Thesis: Product tanker cash and limited capital commitment are intended to enable attractive capital returns per share. Valuation: historical score 7.2 from 2026-09-07; no current independent diluted NAV/share price. Cycle exposure: Product tanker. Return mechanism: Freight-rate leverage; secondary Dividend / cash yield, Capital-return improvement.

Key catalyst: MR rates, cost control and actual net stock reduction. Major risk: Good current margin is consumed by off-hirs, strategic investments or dilution.

What would make the investment thesis wrong?

- MR-Cashmarge: Realised MR-TCE / own all-in cash-breakers < 1.0 in two quarters. Source/Measurement:

Q-Reports, Opex, Docking, Interest/Tilgrim Plan. Result: Reduce normalised removal and rate levers.

- Net repurchase: Fully diluted End Shares increase > 2% over twelve months despite buybacks shown as capital returns. Source/measurement: stock movements, warrants/options, net buybacks. As a result, gross income does not equate to value per share.

- Cash commitment: Non-core or growth capital exceeds available 12 monthly cash after compulsory payments without return on investment > capital costs. Source/Measurement: Investment releases, project model and cash flow. As a result, capital return theses challenge, even if EBITDA remains high.

- Operational reliability: Unplanned off-hirs > 5% of controlled calendar days in two quarters. Source/Measurement:

Operational tails; planned docking days separately. Follow: Restart exposed days and operator premium.

The full-cycle assessments of the operator and capitaL

Wallenius Wilhelmsen $WAWI

Thesis: Auto/RoRo contracts plus logistics should carry cash despite future fleet deliveries.

Valuation: historical score 6.9 from 2026-09-07; no current independent diluted NAV/share price.

Cycle exposure: RoRo / PCTC. Return mechanism: Dividend / cash yield; sekundaer Structural growth.

Key catalyst: contract new prices, volume mix, bunker transfer and new construction financing. Major risk: Backlog is treated as a guaranteed net margin; more CEU and weak high-&heavy mix burden cash.

What would make the investment thesis wrong?

- Contract margin: comparable net revenue per cbm/CEU after bunker/charter costs falls > 10% year on year in two quarters. Source/measurement: segment revenue, cargo/route mix, BAF and charter-in costs. Implication: reassess contract protection and normalised profit; this is not a substitute for tanker TCE.

- Volume/mix: transport volume is > 10% gg. Year-on-year in two quarters with a simultaneous decrease in the high-&heavy share. Source/Measurement: Issuer volume/mix data and route usage. Result: Contract price alone does not protect fixed cost coverage.

- CEU overhang: Effective CEU fleet growth exceeds vehicle/high- & heavy distance demand by > 3 percentage points in two half-year observations. Source/measurement: CEU deliveries, speed, routes, trade statistics. As a result: lower RoRo cycle premium and renewal rates.

- Mandatory capex: 12-month bear-case funding coverage < 1.0 after newbuild, lease and debt payments and minimum cash. Source/measurement: construction contracts, committed loans and cash plan. Implication: prioritise distribution capacity and survival; historical rank 10 is not buy approval.

The full-cycle assessments of the operator and capital

And that"s it. :)

Hope you enjoyed my update and looking forward to your thoughts and comments

u/PalladiumCH — 11 days ago

Personal ranking of shipping stocks in September 2026, still learning, adding more names

Great journey learning more about shipping so far and looking forward to your feedback.

The most important change in September was the major expansion and tightening of the research framework. The August ranking contained 33 scored companies. By September, the universe had expanded to 62 companies: 38 with historical scores and 24 newly covered companies that initially remained NR because essential valuation, capital-structure or cash-flow evidence was still missing.

September added five previously omitted deep-value or micro-cap companies to the historical register: C3is, TOP Ships, Robin Energy, Performance Shipping and Rubico. Their historical scores range from 4.7 to 2.9. This increased the scored historical universe from 33 to 38 without changing the existing top group. Many more names lined up waiting for research.

The methodology itself did not change. The weights remain 30% dividend and distribution quality, 20% balance sheet, 25% fleet and cycle position, 15% valuation and 10% management.

September also refined several sector conclusions. Would love to get feedback from the community here:

Container owners such as MPCC and Euroseas are now separated more clearly from liner companies such as Hapag-Lloyd, Maersk and ZIM. Contracted charter revenue offers near-term protection but does not eliminate refinancing, dilution, newbuilding-payment or residual-value risk. MPCC and Euroseas have therefore become higher-priority reassessment candidates, but they were not automatically upgraded. The different historical overlays applied to Frontline and International Seaways were also challenged, while the apparent defensive qualities of Odfjell, Klaveness Combination Carriers and Flex LNG are now being tested against actual contract duration, operating costs and financing obligations.

I did take up a smaller position in $FRO regardless of the ranking given some comments from the shipping community. Top shipping holdings remain $HAFNI and $TRMD. Mid size position now in $FRO $SBLK $9104 Mitsui.

u/PalladiumCH — 21 days ago

FirstNet now featuring AST with the service now called „FirstNet Satellite(SM)“

No big bang, just progression this time from FirstNet now featuring AST service called „FirstNet Satellite(SM)“ and yes most likely not going to move the share price for now.--- will have to wait till 2027 when numbers start hitting the balance sheet and AST very likely blasting past the 1bn top line prediction ;)

FirstNet is teaming up with AST SpaceMobile to integrate public safety-grade satellite connectivity. Beyond our existing satellite solutions, this will extend coverage to keep you connected in even the most remote or off-grid locations.

https://www.firstnet.com/coverage/satellite.html

With AST Team delivering along the milestones it reminds me of

Law 20: The Law of Hype

A situation is often the opposite of the way it appears in the press.

When things are going well, a company doesn’t need the hype. When you need the hype it usually means you’re in trouble.
+Al Ries and Jack Trout +

Credit:

u/PalladiumCH — 2 months ago

Tribute to Anpanman and his work for us here / One for the $ASTS archive

This is what long-term conviction and genuine foresight in anticipating market dynamics look like.

Huge respect Anpanman for your perseverance and stamina delivering due diligence on $ASTS since 2022.

u/apan-man Given how humble you are, I hope your okay with being a legend ;)

u/PalladiumCH — 2 months ago

One use case demonstrating the value of AST SpaceMobile is emergency connectivity: AI functionality has no value without a reliable means of connecting to the user .... credit @CatSE___ApeX___

As CatSE wrote "AI functionality has no value without a reliable means of connecting to the user and ingesting real-world data from the physical environment." so here is a real life example:

The Ocean Signal EPIRB3 is already satellite-connected through the 406 MHz Cospas-Sarsat network, which transmits the beacon’s identity, vessel information, GNSS position and distress alert to rescue authorities in case of an emergency at sea.

AST would not replace this certified emergency channel but will add two-way communication, regular tracking, status information and remote device monitoring at close to Zero data-delivery cost.

For the costs I took the costs per GB of data u/thekookreport which is $2/GB at wholesale revenue level. That translates to 0.4 MB emergency event data costing $0.0008 🔥

Depending on how you calculate the beacon life-time implied direct expense in the business case you end up with a range of $0.008 to $0.08

Now depending on the capabilities these devices sell for 300 USD to 1.200 USD.

Imagine the contribution margin for AST getting paid upfront for guarantee of the service across 5y to 10y life-cycle.... at $5 or $10 or $25 against variable delivery cost of $0.008 to $0.08

Feel free to tweak the numbers accordingly and have fun running some TAM numbers on commercial vessels / sailors ;) one of many future cases ahead for $ASTS

https://www.compass24.ch/sicherheit/notsignale/mob-epirb?p=1&order=price-desc

https://x.com/CatSE___ApeX___/status/2076228496720806037

TAK

u/PalladiumCH — 3 months ago

Why MNOs need ASTS to catch up in IOT. Series starting with Telenor out of Norway as an example. Series 1/9

With all the hype around Internet of Things it is interesting to see how many Mobile Network Operators are failing to lock in any major growth in this vertical.

The global IoT business in Telenor is consolidated inside Telenor Amp. Interestingly this group also delivers Maritime connectivity and Cyberdefence services.

Now looking at 2025 numbers you see close to no growth on revenue and EBITDA margins of only 12.7% ..... if you then add context of total group revenue the whole AMP division only contributes 4.6% to the top line of Telenor Group.

From the 4.6% the IoT annual revenue is not listed seperatly so we can only make an estimate which is around 2–3% of Telenor’s annual revenue.

That is the world today for Telenor, with all the hype and growth in IoT this vertical is delvering Zero growth on revenue and only contributing about 2–3% of the Groups annual revenue.

You can only guess why Management has not yet singed an MOU with $ASTS .... to help unlock future IOT growth on and off footprint and reduce carrier wholesale costs on partner networks.

https://www.telenor.com/binaries/investors/reports-and-information/annual/annual-report-2025/Annual-Report-2025-English.pdf

Telenor is a leading Nordic telecommunications group providing mobile, broadband, digital infrastructure and global IoT connectivity, generating approximately US$7.3 billion in 2025 revenue, with roughly US$3.3 billion of adjusted EBITDA at a 45.0% margin and approximately 10,100 employees, while holding especially strong market positions in Norway and across the Nordic region.

u/PalladiumCH — 3 months ago

Why collaboration is key in delivering a Global D2D Service and why AST has the winning setup

Just as relevant now as last year….. original recording from May 2025

To all those betting on @Starlink hitting an easy home run in Device2Device from LowEarthOrbit….

Taking a collaborative approach with Mobile Network Operators $ASTS can scale faster, integrate locally, and achieve global reach with lower CAPEX than by going it alone.

Duopoly ✅ $ASTS

p.s. original post is from my old channel which I handed over last year as part of my exit from the media business

https://x.com/ArneLutsch/status/2064674788526710796?s=20

u/PalladiumCH — 4 months ago

Why the ATT VZ TM cartel will not be crushing $ASTS margins

Why the bears are getting it wrong on how the new ATT VZ TM cartel will be crushing $ASTS margins and why or why AST could just as well be headquarted in Switzerland.

Lets start with the key flaw in the “AT&T / Verizon / T-Mobile crush AST margins” thesis

The idea of the 3 Large Telcos compressing AST margin is assuming satellite connectivity permanently behaves like a commodity wholesale market. Historically, telecom infrastructure does not work that way once capacity becomes multi-use.

Capacity always migrates toward the highest-value yield. Airlines prioritise business class, AWS prioritises AI workloads, and subsea operators prioritise traffic. The same dynamic likely applies here.

So even if MNOs negotiate aggressively on consumer connectivity, AST can redirect incremental capacity toward:
• defence and government resilience
• industrial IoT / M2M
• maritime and aviation
• enterprise continuity
• hyperscaler backhaul
• direct ecosystem partnerships with Apple or Google for emergency and Android satellite services

The “3 carriers control AST” narrative also ignores that infrastructure markets rarely stay buyer-dominated forever.

Tower companies, data centres, cloud infrastructure, app stores, and subsea cable operators all eventually gained leverage because they became:
• hard to replicate
• embedded into ecosystems
• strategically necessary
• economically irrational to duplicate

And that last point is critical: A shared orbital layer may simply become the economically rational outcome for the industry. And if not fully for 5G then for 6G coming up to 2030 as CatSE already outlined.

Duplicating several global D2D constellations with overlapping coverage could become massively capital inefficient, very similar to how telecom evolved toward:
• shared towers
• roaming agreements
• fibre backbones
• neutral interconnection infrastructure

AST may initially look like a supplier to carriers, but over time it could evolve into a neutral connectivity layer sitting between multiple ecosystems:
• carriers
• governments
• defence
• OEMs
• hyperscalers
• automotive
• logistics
• emergency services

And that is essentially the “Switzerland of D2D” framework

or more fancy

AST is the neutral infrastructure for the global telecom industry.

Neutral? yes, you only have to look to Switzerland to understand how valuable neutrality can become over time resulting amongst other things in the Swiss franc existing continuously since 1850. Remarkably, Swiss coins minted in 1850 are still technically legal tender today.

And even among the very small group of currencies with exceptional continuity such as the US dollar (1792), Japanese yen (1871), Swedish krona (1873) and Norwegian krone (1875), the Swiss franc remains unusually unique due to its uninterrupted neutrality and institutional continuity through both World Wars.

Welcome to the “Switzerland of D2D” framework ;)

p.s.

Some other examples of valuable infrastructure layers in history:

• DNS
• SWIFT
• payment clearing
• rail gauge standards
• cloud interconnection
• electricity grids

https://preview.redd.it/m5l4d5rifr2h1.png?width=1280&format=png&auto=webp&s=ba3660ec07880eb69cce75c321069b8f8a5d04a0

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u/PalladiumCH — 5 months ago

Talking Satellite economics for emerging markets in Africa for AST and why ARPU might turn out higher than expected

Adding 10 cents (yes Inflation is real) to the great read from TheRealSalDePaol on Satellite economics and emerging markets in Africa and why the ARPU might turn out higher than expected.

His take: "The bears are repeating McKinsey's 1980 mistake. When AT&T broke up, McKinsey predicted just 1 million mobile users by 2000. Actual figure: 100 million. Off by 100x. They modelled today's prices and willingness to pay, missing how better tech, falling prices, and connectivity spark economic growth and demand.ASTS bears are doing the same: "Africa can't afford it", "ARPU too low". Wrong question. The cycle from 2G to 5G proves phones improve, speeds rise, prices drop, incomes grow, and usage explodes.What sets AST apart: once the constellation is built (funded by their $3.5B balance sheet), marginal cost to serve anywhere is zero. Satellites fly overhead anyway. A rural Nigerian paying $0.10/month with 10 million others means pure profit. No towers, no fibre needed.That's why the 3 billion addressable market understates it. AST can profitably serve millions who pay nothing today because terrestrial networks were never viable there. No traditional player can match that maths."

My point: There's way more upside to that $0.10/month per user

Two reasons: GDP per capita growth and the share of disposable income spent on communication

Lets look at some ARPU data from Safaricom and MTN:

Safaricom Ethiopia Usage is rising strongly, ARPU is increasing simultaneously, and penetration is still early. Exactly the kind of telecom adoption curve that historically leads analysts to underestimate long term demand growth. 1 USD ≈ 156 ETB

MTN data shows Nigeria’s ARPU is already $2.09 and MTN is posting strong growth: +22.7&#37; service revenue, +36.4&#37; data revenue, +23.2&#37; fintech

Safaricom Kenia 2025 active customer base growing 7.1&#37; to 37.1 million, mobile data revenue up +15.2&#37; with usage per subscriber up 13.9&#37; to 4.22GB. Highly relevant for AST is the 4G device adoption rate of for smartphones +19.4&#37;, 4G devices +32.4&#37;, 5G +57&#37;

The faster emerging markets upgrade from basic/feature phones to 4G/5G smartphones, the larger and more valuable the D2D opportunity becomes for ASTS. That’s exactly why the device adoption stats in Safaricom’s results along smartphones +19%, 4G +32%, 5G +57% are such a big green flag.

Now what about GDP per capita growth for Kenia, Ethiopia and Nigeria?

Even after adjusting for rapid population growth, Kenya is still generating roughly ~3–4&#37; real GDP per capita growth, Ethiopia ~3–5&#37;

For Nigeria rapid population growth has suppressed GDP per capita growth as the population exploded from 56 million to over 230 million since 1970s. GDP per capita has remained volatile rising to peaks of roughly $2,000–$3,000 before recently falling back to around $1,000–$1,500 due to currency devaluation and inflation.

Nigeria’s total economy has grown roughly 20–30x in nominal US dollar terms over the past ~55 years. It went from a small ~$12.5 billion economy in 1970 to one of Africa’s largest, currently ranking around 48th–53rd in the world.

For ASTS, fast population growth in places like Nigeria could hold back ARPU in the short term because of lower GDP per capita. But over the long run, it creates a massive subscriber opportunity as more people get smartphones and rely on mobile connectivity.The real bull case for D2D in Africa isn’t ARPU. It’s about huge subscriber numbers, almost zero extra cost to add more users and steadily rising data usage.

https://preview.redd.it/butn1mzuh21h1.jpg?width=805&format=pjpg&auto=webp&s=4154d02a84b17985661f98432a396995c4419d1f

Wrapping up this post one final thought on cost per GB across Africa. Yes these are old stats from 2022 showing you just how much progress has been made in 2026

https://preview.redd.it/rdmkr2hre21h1.jpg?width=757&format=pjpg&auto=webp&s=49f24b08716cbb81094ab0dd10f4e6c8f8321d21

Mobile data prices across key markets have fallen sharply. In 2025 Nigeria now sits at a ~ $0.39 per GB, Kenya range is around $0.50 to $1.00, and Ethiopia at ~$0.43 to $0.68 per GB. Trend in pricing is downward, making data more accessible while usage and device adoption keep climbing fast.

Now you can argue what is the perfect setup for ASTS, High ARPU or High adoption rate? As AST has near-zero marginal cost for serving those markets its satellite network can monetize places where terrestrial economics fail. And we have the partnerships with the MNOs. Operators like Safaricom and MTN can use AST to optimise their own networks aggressively on both capex and opex:

  • Shut down or remove expensive rural low-usage towers entirely
  • Turn towers off at night when traffic is dead
  • Use AST as a smart capacity extension in busy areas
  • Be far more selective about rolling out 5G and future 6G upgrades

In short, AST adds coverage and lets MNOs run leaner, cheaper, and more profitable terrestrial networks while servecing unprofitable markets at almost zero extra cost. This is exactly why the bears’ “low ARPU = bad” take completely misses the point.

And yes capacity constraints still matter which is why AST will leverage classic yield management, pricing power, and prioritising the highest value traffic.

Exciting times ahead for our D2D team from Midland Texas.

Links:

https://x.com/DepaolaSal/status/2054633815969083397?s=20

https://mtn-investor.com/fy-2025-reporting-suite/pdf/mtn-fy25-integrated-report-2025.pdf

https://www.safaricom.co.ke/annualreport_2025/the-commercial-value-we-deliver/safaricom-ethiopia-performance-review/

https://www.safaricom.co.ke/annualreport_2025/the-commercial-value-we-deliver/safaricom-kenya-performance-review/#1754653257700-87780926-9dbc

https://data.worldbank.org/indicator/NY.GDP.PCAP.CD?locations=KE

https://www.statista.com/chart/29144/cost-of-mobile-data-in-africa/?srsltid=AfmBOoovopXCBOagq-01dsaR_C05PMTeCWB6dihrXbg_LYf06yKQfzay

https://preview.redd.it/5bz57sibe21h1.jpg?width=1111&format=pjpg&auto=webp&s=3206a7eb4715dd5e990732d3aa3364ef2a818746

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u/PalladiumCH — 5 months ago