Financial Analysis Techniques

How to Do Financial Due Diligence Before Selecting Stocks? Stock picking isn’t just about looking at charts and following trends—it’s about understanding the financial health of a company. Before investing, a structured Financial Due Diligence (FDD) process can help you avoid bad bets and spot strong opportunities. Here’s a framework to follow: 1. Understand the Business Model & Industry - What does the company do? - Who are its competitors? - Is it in a growing or declining industry? 2. Analyze the Financial Statements - Income Statement (Profit & Loss) – Revenue growth, profitability (Gross, Operating, Net Margins), EPS trends - Balance Sheet – Debt levels, cash reserves, working capital position - Cash Flow Statement – Operating cash flow vs. net income, free cash flow trends 3. Check Key Financial Ratios - Profitability: ROE, ROA, Gross & Operating Margins - Liquidity: Current Ratio, Quick Ratio - Leverage: Debt-to-Equity, Interest Coverage - Valuation: P/E Ratio, P/B Ratio, EV/EBITDA 4. Assess Management & Governance - Background & track record of leadership - Insider buying/selling trends - Transparency in disclosures & corporate governance 5. Review Competitive Position & Moat - Does the company have a sustainable competitive advantage (brand, network effect, patents, cost advantage)? 6. Industry Trends & Macroeconomic Factors - Economic cycles, inflation, interest rates - Global supply chain, geopolitical risks - Market trends affecting revenue streams 7. Cross-Check with Analyst Reports & News - Read Equity Research Reports, Investor Presentations, Credit Reports - Stay updated on company news, regulatory changes 8. Look at Historical Performance & Future Guidance - Compare past financials vs. projections - Evaluate management’s growth expectations 9. Risk Assessment & Downside Protection - What’s the worst-case scenario? - How resilient is the business in a downturn? 10. Compare with Peers & Make an Informed Decision No company operates in isolation—compare financials and valuations with competitors before buying. Smart investing is about discipline, not hype. By doing thorough due diligence, you increase your chances of picking winners while avoiding pitfalls. What’s your go-to method for analyzing stocks? Let’s discuss.

“Hey, I don’t have a finance background, but I want to start investing. How do I know where NOT to invest?” This is one of the most common questions I get from students and aspiring investors. 𝗛𝗲𝗿𝗲’𝘀 𝘁𝗵𝗲 𝘁𝗿𝘂𝘁𝗵: you don’t need a degree in finance to handle your finances. You just need a sharp eye to spot the red flags. 𝗛𝗲𝗿𝗲 𝗮𝗿𝗲 𝘀𝗼𝗺𝗲 𝘄𝗮𝗿𝗻𝗶𝗻𝗴 𝘀𝗶𝗴𝗻𝘀 𝘁𝗼 𝗮𝘃𝗼𝗶𝗱 𝘄𝗵𝗲𝗻 𝗽𝗶𝗰𝗸𝗶𝗻𝗴 𝘀𝘁𝗼𝗰𝗸𝘀: 🚩 𝗖𝗼𝗻𝘀𝗶𝘀𝘁𝗲𝗻𝘁 𝗗𝗲𝗰𝗹𝗶𝗻𝗲 𝗶𝗻 𝗥𝗲𝘃𝗲𝗻𝘂𝗲 𝗼𝗿 𝗣𝗿𝗼𝗳𝗶𝘁𝘀: If a company’s financial performance is sliding year after year, it might not be able to sustain itself in the long run. 🚩 𝗛𝗶𝗴𝗵 𝗗𝗲𝗯𝘁 𝗟𝗲𝘃𝗲𝗹𝘀: A company drowning in debt often faces challenges in reinvesting for growth or surviving tough times. Check the debt-to-equity ratio—it says a lot about financial health. 🚩 𝗙𝗿𝗲𝗾𝘂𝗲𝗻𝘁 𝗟𝗲𝗮𝗱𝗲𝗿𝘀𝗵𝗶𝗽 𝗖𝗵𝗮𝗻𝗴𝗲𝘀: If the CEO or key executives keep changing, it’s a sign of instability at the top, which could ripple down into company operations. 🚩 𝗨𝗻𝗿𝗲𝗮𝗹𝗶𝘀𝘁𝗶𝗰 𝗣𝗿𝗼𝗺𝗶𝘀𝗲𝘀: Beware of companies making too-good-to-be-true claims. Growth takes time, and overpromising often leads to under-delivering. 🚩 𝗪𝗲𝗮𝗸 𝗖𝗼𝗺𝗽𝗲𝘁𝗶𝘁𝗶𝘃𝗲 𝗣𝗼𝘀𝗶𝘁𝗶𝗼𝗻: If the company struggles to stand out against competitors or lacks innovation, its future prospects may be limited. 🚩 𝗢𝗽𝗮𝗾𝘂𝗲 𝗙𝗶𝗻𝗮𝗻𝗰𝗶𝗮𝗹 𝗥𝗲𝗽𝗼𝗿𝘁𝗶𝗻𝗴: If a company’s numbers don’t add up or if it’s hiding behind complex jargon, that’s a major red flag. Transparency is key. 🚩 𝗢𝘃𝗲𝗿𝗱𝗲𝗽𝗲𝗻𝗱𝗲𝗻𝗰𝗲 𝗼𝗻 𝗢𝗻𝗲 𝗣𝗿𝗼𝗱𝘂𝗰𝘁 𝗼𝗿 𝗠𝗮𝗿𝗸𝗲𝘁: A company relying heavily on a single product or market is at risk if demand shifts or competition intensifies. Investing is less about luck and more about logic. If you can avoid the traps, you’re already ahead of many. 𝗪𝗵𝗮𝘁 𝗿𝗲𝗱 𝗳𝗹𝗮𝗴𝘀 𝗱𝗼 𝘆𝗼𝘂 𝗹𝗼𝗼𝗸 𝗳𝗼𝗿 𝘄𝗵𝗲𝗻 𝗲𝘃𝗮𝗹𝘂𝗮𝘁𝗶𝗻𝗴 𝘀𝘁𝗼𝗰𝗸𝘀? #investing #stock #finance

🚨 Why Farmers Stay Poor: Are Finance Models Designed to Fail Them? It’s not the weather. It’s not the soil. It’s the system. For decades, financial models in agriculture have appeared to support farmers, yet poverty persists like a crop that won’t die. But why? Because the system is designed to finance the input, not the impact. Farmers are given loans to buy seeds and fertilizer only to sell low and borrow again. This is not empowerment. It’s a financial treadmill. Here’s the uncomfortable truth: > Most agricultural finance schemes were designed for lenders to manage risk not for farmers to build wealth < Three systemic design flaws that keep farmers trapped: 1. Short-term loans for long-term crops: Cash crops like coffee, banana, or avocado need patient capital. But most agri-loans are seasonal, forcing early harvests and losses. 2. Collateral bias: Land titles or assets are demanded, excluding women and youth who ironically are the ones farming most. 3. Profit blindness: No financing model asks: Will this farmer actually make money from this season? It assumes yield = success. But yield doesn’t pay school fees. Profits do. We don’t need more credit. We need credit designed for context. So what’s the solution? 📌 Agri-finance products co-designed with farmer groups. 📌 Flexible repayment systems linked to harvest cycles, not calendar months. 📌 Data-informed risk scoring using real-time climate and market data. 📌 Incentives for banks to finance regenerative and value-adding models, not just inputs. In 2025, agricultural finance must go beyond transactions to build transformation. If you're building a new finance product, running an agri-startup, or investing in food systems and you’re not thinking about this you’re building on sand. Let’s create capital that liberates, not entraps. National Agricultural Research Organisation - NARO FAO M-Omulimisa Enimiro Uganda Avotein Farms Limited Amabanda Uganda Limited Emata Shambapro AgriLink Uganda AgriProFocus Uganda Solidaridad East and Central Africa AGRA Are you curious on how I can redesign your agri-finance approach to actually build farmer wealth? Let’s connect. #Agribusiness #Agrifinance #InclusiveFinance #UgandaAgriculture #Agritech #SmallholderFarmers #Agripreneurs #AgriPolicy #FintechForFarmers #TheAgrithinkersTimes #AgriWealthStrategies #ClimateSmartFinance

Understanding Cash Flow Forecasting Simplified but Powerful Cash flow is the lifeblood of every business; and forecasting it accurately is crucial for decision-making, planning, and long-term sustainability. I came across this simplified yet comprehensive visual that breaks down the cash flow forecasting process. It maps out the core drivers from revenue and cost assumptions to working capital, investment, and financing activities also shows how they flow into your overall cash position. Key components include: -Income statement inputs like revenue, cost, tax, and interest -Working capital elements such as AR, AP, and inventory -Investment activities like asset purchases and disposals -Financial elements including debt, equity, and dividends A solid cash flow forecast aligns operational strategy with financial discipline, helping leaders stay proactive, not reactive. If you’re in finance, FP&A, or management; this is a great reference to keep in mind. #CashFlowForecast #FinancialPlanning #FPandA #BusinessFinance #WorkingCapital #OperationalExcellence #FinanceLeadership #CashManagement #FinancialModelling

Cash flow statements aren't complicated. But questions arise around the advantages and disadvantages of indirect and direct methods. Here's how I explain them to my students 𝗜𝗻𝗱𝗶𝗿𝗲𝗰𝘁 𝗠𝗲𝘁𝗵𝗼𝗱 The indirect method begins with net income and adjusts for non-cash items (like depreciation) and changes in working capital (accounts receivable, inventory, etc.). This method reconciles net income (an accrual-based measure) to cash flows. The EBITDA-to-cash bridge, which I explained in this post is a slight modification of this method: https://lnkd.in/evKrGMPH 𝗔𝗱𝘃𝗮𝗻𝘁𝗮𝗴𝗲𝘀: - Ties easily to the income statement and balance sheet - Commonly used, as it’s required under GAAP - Offers insights into working capital changes 𝗟𝗶𝗺𝗶𝘁𝗮𝘁𝗶𝗼𝗻𝘀: - Does not explicitly show where cash came from or went - Less transparency for day-to-day cash movements - Mostly worthless for 13-week cash flow forecasting 𝗗𝗶𝗿𝗲𝗰𝘁 𝗠𝗲𝘁𝗵𝗼𝗱 The direct method is simple. It's cash in and cash out. It’s more straightforward than the indirect and easier for non-accountants to follow. 𝗔𝗱𝘃𝗮𝗻𝘁𝗮𝗴𝗲𝘀: - Provides a clear, detailed view of cash movements - Helps with treasury and cash management 𝗟𝗶𝗺𝗶𝘁𝗮𝘁𝗶𝗼𝗻𝘀: - Can be labor-intensive to prepare - Often requires additional effort and coding - Not a common format for accounting purposes Reconciling the two methods can be challenging because they present cash flows in fundamentally different ways. The indirect method relies on adjustments to net income and uses accrual accounting principles. The direct method focuses on actual cash movements. 𝗪𝗵𝗲𝗻 𝘁𝗼 𝗨𝘀𝗲 𝗘𝗮𝗰𝗵 𝗠𝗲𝘁𝗵𝗼𝗱 𝗜𝗻𝗱𝗶𝗿𝗲𝗰𝘁 𝗠𝗲𝘁𝗵𝗼𝗱: Best for financial reporting and compliance when working with accrual accounting. Ideal for larger companies with complex financial systems and stakeholders familiar with accrual concepts. I also recommend using it for longer-term forecasting when the detail of a direct method is unhelpful. 𝗗𝗶𝗿𝗲𝗰𝘁 𝗠𝗲𝘁𝗵𝗼𝗱: More useful for internal cash management, budgeting, and decision-making. It's extremely valuable for 13-week cash flows and is helpful for smaller companies where cash-based clarity is a higher priority.

Government bonds underperformed equities, credit and commodities in this 3-year risk on market. Our analysis shows when equities sell off, Treasuries are also less diversifying compared to decades prior (chart). What’s happening? Long bond yields are made up of 2 components: ➡️ Policy path - in a world shaped by supply, central banks are more limited in their ability to come to the rescue of the economy without reigniting inflationary pressure. Hence Treasuries are less reliable when equities fall. ➡️ Term premium - it’s driven by bond volatility, inflation uncertainty, and of course fiscal dynamics. Think of it like any other type of risk premium such as equity risk premium it’s about perceived risk and additional required compensation above risk-free for holding it in portfolios. Large deficits record debt and heavy issuance mean that term premia can reprice higher, maybe especially during stress, pushing long yields up even as markets may price a lower policy path. Together, these forces weaken the traditional stock–bond hedge. I think of Treasuries now as quality income assets not the diversifiers they used to be.

A common ERROR to avoid in Valuation Modelling! Revenue forecasts shouldn't just be based on historical trends Let me explain 2 challenges this creates - with examples... While using just historical trends for revenue forecasting 1) We end up assuming that a company growing will keep doing so, and another one which is not growing will never grow. Quite different in real life! 2) If our revenue projection is different from the actual number achieved, we cannot find where our mistake was. Take 2 examples - For Maruti - between 2016-19, revenue growth CAGR was 14%. The revenue was lower for the next 2 years, and just about the level of 2019 in 2022. Historical growth rates could mislead us into believing that history will be repeated. - For Eicher Motors, revenue CAGR between 2013 and 2018 was above 50%. If we were projecting in 2012, historical trends would not have predicted what is going to happen in future. And we wouldn't know if we went wrong on industry volumes, market share or pricing per vehicle. Premium bikes as a % of total bikes sold in India were 0.5% in 2010. By 2018, this had risen to 4%. Knowing this would have improved our revenue forecasts. So how do we forecast revenues? Always find out what drives the revenue! What is the underlying equation of the revenue! - For Maruti & Eicher – this will be (Volume) X (Price per Unit) - For a Cement firm, it would be Volume of Cement Sold in tonnes X Price per tonne - For a Retail firm, it would be area in square foot X revenue per square foot. Volume itself in some industries will be a function of Industry Volume and Market share assumptions. 2 benefits of doing this 1) We have a better understanding of what drives revenues. 2) More importantly, if our estimates are wrong, we will know what went wrong. This will help our understanding of the business. Please note that there are some companies who do not give you volume data (like Britannia, Asian Paints). There we do not have this option, but atleast we can try and read up on what has been the volume growth and realization growth. We can use some approximations as well, but that is for another post. Try finding the revenue drivers for your next valuation model. ------ I aim to teach practical #finance concepts through my writing. If you intend to build a career in #valuation or #investmentbanking , do check out my earlier posts.

Cash bond yields tempt. The small print is duration. You earn carry, but you also wear a long fuse. When the back end twitches, months of income can vanish in a day. That’s not drama. That’s math. Here’s the uncomfortable truth: most investors don’t choose duration; spreads choose it for them. A tight spread on a long bond feels safe until rates move. Then you find out your “income” was leverage in disguise. If you can’t hold through a rate shock, you didn’t buy yield. You rented risk. Carry you can keep beats yield you can’t hold. I’d rather own short-dated IG with clean balance sheets than stretch for a few extra basis points in long HY with thin covenants. I want duration where I pick it, not hidden inside credit. If I add length, I pair it with liquid hedges and clear exits. Pride doesn’t pay coupons. Cash does. The curve still matters. Front end gives you carry and optionality. The belly can work when cuts arrive on schedule, not hope. The very long bond is a tool, not a home. Use it for a reason: liability matching, a hedge, or a defined trade. Not because the yield looks neat on a slide. Know your DV01. If you don’t know how much a 25–50 bp move costs you, you’re not managing risk. You’re guessing. A portfolio that bleeds on small rate moves won’t be around for the big win. Size like you plan to survive boredom and shock. Credit spreads look calm—until they don’t. They don’t give you a countdown. They gap. If growth cools or policy bites, refinancing risk shows up fast at the weak end. That’s when owning quality feels “boring” right up until it saves the month. Boring is a strategy. Tactics I like now: keep a T-bill sleeve for dry powder. Skew to short IG over long HY. Add a measured belly position where valuations are fair. Use simple hedges instead of cute structures you can’t exit. If volatility is cheap, rent some. If it’s rich, cut size and wait. And remember: income is not a trophy. It’s a stream that needs defense. Rebalance winners. Trim length into rallies. Add only when the tape gives you paid risk, not just risk. The goal is steady compounding, not yield cosplay. Are you choosing duration, or is it choosing you? What’s your portfolio DV01 on a 50 bp bear steepener? Which bonds still pay you for the credit risk? Where would you cut first if the long end jumps? What lets you hold through a bad week without panic? For more see our Nomura CIO Corner: https://lnkd.in/e4TCax_g Appreciate @Tathagata @Anuragh @Dhrumil for the sharp back-and-forth #fixedincome #bonds #rates #duration #yield #credit #carry #treasuries #riskmanagement #portfolio #CIO #Nomura

I used to stare at financial statements for hours and still walk away with no clue what was really happening in the business. After analyzing 100+ companies as a fractional CFO, I've learned there are three critical lenses every CFO uses that completely change how you read the data. Most people look at a P&L and see revenue of $500K, expenses of $400K, and net income of $100K. They think that tells the whole story. But you know what a CFO sees? They ask three questions that unlock everything. Learn the top 3 financial analysis frameworks in my newest video 👇 📹 https://lnkd.in/dDQRJe9B ➡️ WHAT CHANGED: HORIZONTAL ANALYSIS This is where you compare performance across time periods, budgets, and benchmarks. Did that $500K in revenue grow 20% from last month? Or did it drop 15%? Are you comparing against your budget or last year's numbers? Suddenly that $500K means something completely different depending on the context. ➡️ HOW EFFICIENT: VERTICAL ANALYSIS This is all about margins, ratios, and unit economics that show you where the real opportunities are. What percentage of that revenue is going to cost of goods sold? What about marketing spend? Are you operating at 20% gross margins or 80%? Because that changes everything about your business model. And here's where it gets powerful...unit level economics. What happens with every single sale? Which products have the highest margins? Where can you optimize pricing? ➡️ WHY IT MATTERS: NON GAAP METRICS These are the KPIs that reveal what's actually driving your business. EBITDA, monthly recurring revenue, customer acquisition cost, churn rates, average order value. These metrics can be incredibly useful, but they require much more detailed data. Customer level data, product level data, subscription cohorts. === You know what's amazing about this framework? Once you see it in action, you'll never look at a P&L the same way again. You stop seeing just numbers and start seeing the story behind your business. Where the growth is coming from, where efficiency can be improved, and what metrics actually matter for your industry. Watch my latest video to see exactly how you can apply this in your work 👇 https://lnkd.in/dDQRJe9B You'll walk away analyzing any business like a seasoned CFO. What's been your biggest challenge with financial analysis? Let me know in the comments below 👇