







I am currently preparing a DCF model from scratch for Maruti Suzuki India Ltd. This is for a job interview. I am doing this for the first time. I would appreciate if anyone could help me by reviewing my model and giving some insights. Thanks in advance.
Hi, I know this questions has been asked many many times but I would like to enquire from those who have taken either of these two courses. As I am a student and my school does not offer these courses for free, i have to front it out of pocket. I want to take these courses for the knowledge as well as the credibility of the certificate, i know that hiring managers will not hire based on one certificate but i would also like to have the more credible certificate, which i believe is the Wallstreet Prep certificate. However, I am not able to fund the premium package and will only be able to purchase the basic package due to a lack of funds.
Question: Is the FMVA or WSP basic better if i can only get one, in terms of credibility.
Thank you!
I need a little favour from you guys. I've worked around my first model now, and I want someone to review it and help me with some queries.
About the company----
Industry - Research and Development
Life - 5-6 years in operations
Bootstrap with no Dividends
Borrowing are majorly director loans
So my first years of prediction is done and balance sheet tallies. Now moving forward I want to assume a PLC curve where the growth of the company tends to decline after 2 year's as the maturity stage arrives. Is it a sound approach?? Will it make sense in a real model? Cause I can't just assume higher and higher growth.
the Weighted average Costs. As there are no dividends I'll go for CAPM.
Most Important - while predicting the future expenses and incomes,
. the averages should include all the years including last predicted year?
Or
. There should be a moving window logic with latest 4 years for average.
Or
. I should stick with the actual data I have and just tweak it a bit.
Any further suggestions would be greatly appreciated
i am thinking of joining fintech but i didn't study science instead i choose computerscience + management is it good for fintech . please any feedback would help
Hey everyone,
I’m a fresh graduate from Aryabhatta College, Delhi University currently looking for Founder’s Office / Generalist roles at startups.
What I genuinely enjoy is being thrown into messy, ambiguous problems and figuring things out independently - whether that’s fundraising, GTM, operations, market research, hiring, strategy, or simply filling whatever gap exists in the company at that moment.
Over the last 1.5 years, I’ve mostly worked directly with founders and small teams, which gave me exposure across multiple business functions instead of one fixed role.
Some things I’ve worked on across startups and consulting projects:
- Built integrated financial models covering revenue forecasting, unit economics, CAC/LTV, runway planning, and growth scenarios for fundraising and strategic decision-making
- Managed investor outreach end-to-end across 100+ VCs and angels — from sourcing and research to pipeline tracking, follow-ups, and diligence coordination
- Worked closely with founders on GTM strategy, pricing, customer acquisition funnels, retention levers, and early growth experimentation
- Helped build a D2C/FMCG brand from 0→1, working across product positioning, supplier sourcing, manufacturing readiness, and launch planning
- Conducted deep market, competitor, and industry analysis across wellness, consumer, gaming, and mobility sectors using tools like Pitchbook, CB Insights, Helium10, and Volza
- Created client/investor-facing strategy decks, market maps, and research reports for senior stakeholders during consulting and strategy projects
- Regularly handled unstructured founder-office style work like figuring out processes, solving operational gaps, coordinating across teams, and executing independently in fast-moving environments
I’ve also won multiple national case competitions across finance, strategy, and M&A (SRCC, IIM Shillong, IIM Indore, KMC x BOD, etc.), which helped me build strong structured thinking and problem-solving skills.
Why should you hire me?
Because I can operate without constant direction. I learn fast, adapt quickly, and can move across functions depending on what the startup needs. I’m comfortable handling ambiguity, speaking with stakeholders, doing deep research, building strategy, and then switching to execution mode when required.
I care a lot about ownership and being genuinely useful to the team instead of just completing assigned tasks.
Currently based in Delhi, but fully open to relocating for the right opportunity.
If any founders here are hiring or know startups looking for someone who can work closely with the founding team and handle multiple business-side functions, I’d genuinely love to connect.
Recently got an offer to join a big4 modelling team as a manager. I am moving from a different background. I would like to know:
Lately I've been modelling the Dassault NWC schedule for my DCF. At a first glance the numbers are smooth but the valuation comes 30% higher then should. My first DCF, so I'm not quite confident.
Did I unlock any hidden company potential..
I have a interview for real estate financial modeling entry level role,what topics should I focus on and how to prepare in short time?
_
Hello,
Hope everyone is well.
I was curious if someone would be able to assist me in a modelling work I have been working on.
Its a model for an ASX company Coles Group Limited, ASX:COL.
Details:
So far I have input last 2 years of historical data, but I am not sure if I have spread them correctly. I have used their FY 25 [June 24- July 25] financials. Attached are the actual financials & my model.
Confusions with my spreading:
Profit & Loss:
Balance Sheet:
Next Steps I am thinking:
Appreciate the help!
Nowadays whenever people talk about finance careers, it feels like CFA is portrayed as the ultimate thing, like if you don’t clear CFA then you can’t make a career in fund management, equity research, portfolio management, etc.
I wanted to ask honestly from people already in the industry:Is CFA really THAT necessary?
I’m someone who genuinely likes finance, markets, valuation, equity research, analyzing companies, making reports, working on Excel, practical market-related work, etc. I can spend hours doing practical finance work in a flow state.
But when it comes to heavy theory, long reading sessions, memorizing formulas, and studying from books continuously, I struggle badly. Currently I’m preparing for CFA and I’m honestly questioning myself a lot because of this.
So I wanted realistic opinions:Can someone still build a strong finance career without CFA if they’re more practical-skill oriented than academic/book oriented?
Or in today’s finance world, is CFA almost compulsory for long-term growth?
Here me out, there is straight forward way to calculate beta using CAPM, but realistically this thing get unusable when Rsquared is low.
I am here to ask how do we realistically use reasonable alternative, is it industry peers? What if the company is small and comparable peers Rsquared also low? Is it using other more suited benchmark, if yes then what equity risk premium can we use? Do we have to calculate it? How?
I am trying to build a DCF for a clearing corporation/ depository, the question I had is what steps should i follow for its forecasting of revenue? I am always doubtful while forecasting the future cash flows. Any Insights?...
So I was tryna create an M&A model just for the sake of learning. I was going to model a hypothetical deal of a real listed company acquiring the other and was really stuck at the forecasting part of financial statements. Forecasted Income statement somehow using averages and all but I have no clue for Balance sheet and the cashflow statement. Also the main issue being that theirs much noise in data, like the PPEt is not equal to PPEt-1+Capex-depreciation some how similarly working capital changes calculated from CFS is different from that of Balance sheet
Any sort of guidance or recommendation of resource I can use would be really really helpful 😭🙏Please guide this guy.
Hi everyone, I’d like to understand how analysts model a stock dividend in the equity schedule or retained earnings schedule.
Since this transaction transfers value from retained earnings to common equity without affecting cash, I’m not sure how it should be reflected in the model. Should I adjust something in the model with this?. Most of the resources I found only explain cash dividends, not stock dividends.
Thank you very much for answering this one
in short the problem is
I have calculated ebitda and now I want to subtract interest to find taxable income and then tax.
but to get interest I need debt schedule.
for debt schedule I need CFADS
And I am unable to calculate CFADS without subtracting tax?
I’m just a beginner building my first model so really appreciate some help
Would really appreciate any resources, PDFs, guides, or pointers. Thanks in advance!
Interview has 2 rounds
Curious how you think about MacBooks vs Windows now that Claude and other AI tools are getting better.
I work in finance / FP&A, and until recently I would never have seriously considered a MacBook. Excel on Windows was just the obvious choice: shortcuts, Power Query, Power Pivot, multiple screens, and the general “finance setup” all worked better.
But over the last couple of months, I’ve noticed that I’m using the traditional Excel workflow less and less. Not because AI is perfect, but because it can already get a model from zero to maybe 70–80%, especially when it comes to structure, formulas, and first drafts. That alone changes the workflow quite a bit.
It feels like the value is shifting more toward knowing what the model should do, checking the logic, challenging assumptions, and interpreting the output — rather than manually building everything cell by cell.
I still think Windows is probably the safer choice for heavy financial modelling. But I’m starting to wonder whether the gap matters less than it used to, especially in FP&A or corporate finance roles where the work is becoming more strategic and less purely about Excel speed.
Has anyone here switched from Windows to Mac recently while working in finance, FP&A, consulting, or analytics? Did you regret it, or has it been completely fine?