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Reading: Why It Might Miss Pink Flags in Tech Giants Like Zomato, Paytm, and Lenskart
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StockWaves > Market Analysis > Why It Might Miss Pink Flags in Tech Giants Like Zomato, Paytm, and Lenskart
Market Analysis

Why It Might Miss Pink Flags in Tech Giants Like Zomato, Paytm, and Lenskart

StockWaves By StockWaves Last updated: November 5, 2025 14 Min Read
Why It Might Miss Pink Flags in Tech Giants Like Zomato, Paytm, and Lenskart
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Contents
IntroductionWhat’s the Altman Z-Rating?Why the Altman Z-Rating Fails for Tech CorporationsDownside 1: Damaging Working Capital Doesn’t Imply HassleDownside 2: Startup Losses Create Damaging Retained EarningsDownside 3: Asset-Mild Enterprise Fashions Confuse the FormulationDownside 4: Excessive Intangible Asset DepthHow These Corporations Would RatingAre There any Higher Alternate options for Trendy Companies?What Ought to You Do as an Investor?Conclusion

Introduction

The Altman Z-Rating is a good chapter prediction device for buyers. Traders and analysts worldwide use it to test if an organization is financially wholesome or heading towards hassle. However this mannequin was designed for old-school manufacturing corporations. Some specialists say that it’s not appropriate for immediately’s tech-driven companies like Zomato, Paytm, or Lenskart.​

In case you blindly apply the Altman Z-Rating to those fashionable corporations, you may get deceptive outcomes.

Let me clarify why this occurs and what higher choices you’ve gotten.

What’s the Altman Z-Rating?

Earlier than we dive into the issues, let’s rapidly perceive what the Altman Z-Rating truly does. Professor Edward Altman created this components utilizing 5 monetary ratios:​

  • Working Capital / Complete Belongings (WCTA) – Measures short-term liquidity
  • Retained Earnings / Complete Belongings (RETA) – Reveals collected income
  • EBIT / Complete Belongings (EBITTA) – Signifies working effectivity
  • Market Worth of Fairness / Complete Liabilities (MCAPTL) – Represents monetary leverage
  • Gross sales / Complete Belongings (STA) – Measures asset turnover

 For a complete overview of the mannequin, together with its historical past and interpretations, consult with my detailed information on the Altman Z-Rating.

The unique components multiplies these ratios by particular weights and provides them up.

A rating above 2.99 means the corporate is secure. Between 1.81 and a couple of.99 is the gray zone. Beneath 1.81 indicators excessive chapter danger.​

Sounds simple, proper? However once you apply this to tech corporations, issues usually are not as clear.

Why the Altman Z-Rating Fails for Tech Corporations

Downside 1: Damaging Working Capital Doesn’t Imply Hassle

Zomato and Paytm usually present unfavourable working capital. What does it imply by unfavourable working capital?

It means, their present liabilities exceed present property.

In conventional manufacturing, this could be a crimson flag. However for meals supply and cost platforms, it’s truly regular.​

These corporations acquire cash from prospects immediately however pay eating places and retailers later. They maintain buyer money as a legal responsibility, which creates unfavourable working capital. Once you add cash to your Zomato pockets or Paytm pockets, that cash sits with the corporate however doesn’t belong to them, proper? It’s your cash.

On the stability sheet, this buyer money seems as a legal responsibility (an obligation to pay you again) relatively than precise income or revenue. So regardless that Zomato and Paytm have billions of their financial institution accounts, most of it isn’t theirs to maintain, it’s held in belief for patrons.

This creates unfavourable working capital as a result of their present liabilities exceed their present property (cash truly obtainable for operations). However for these corporations, this isn’t an indication of hassle. It’s truly a enterprise characteristic. They get to make use of your cash interest-free for a number of days earlier than paying eating places or retailers. This truly improves their money circulation and reduces the capital they should borrow.

Conventional manufacturing corporations don’t have this profit. As Altman Z-Rating was constructed contemplating conventional manufacturing corporations as examples, they treats unfavourable working capital of E-commerce corporations as a crimson flag.

However for these platform corporations, it’s fully regular and even wholesome.

Downside 2: Startup Losses Create Damaging Retained Earnings

Lenskart confirmed losses of Rs. 102 crore in FY2022 and Rs. 64 crore in FY2023 earlier than turning worthwhile with Rs. 297 crore revenue in FY2025.

Paytm has been burning money for years, reporting losses of Rs. 14,224 crore in FY2024.​

These collected losses present up as unfavourable retained earnings on the stability sheet.

The Z-Rating components closely punishes this, regardless that these corporations are intentionally investing in progress relatively than reserving web income.

The purpose is, I believe, the Altman Z Rating’s mannequin is code framed that it can’t distinguish between a struggling enterprise and a fast-growing startup.​

Downside 3: Asset-Mild Enterprise Fashions Confuse the Formulation

Tech platforms like Zomato don’t personal eating places. Paytm doesn’t personal financial institution branches. Lenskart is more and more franchising shops relatively than proudly owning them.

What does this data inform about them? These are asset-light enterprise fashions.​

The Altman Z-Rating was designed when companies wanted heavy equipment, factories, and stock. Trendy tech corporations generate large income with minimal bodily property.

Their actual worth lies in software program, model, and community results. They’re all intangible property that don’t seem correctly on stability sheets.​

The Gross sales/Complete Belongings ratio (STA) turns into artificially excessive for these corporations, distorting the complete calculation.​

Downside 4: Excessive Intangible Asset Depth

Know-how and pharmaceutical corporations have very excessive intangible asset depth – like patents, software program, algorithms, and model worth.

The Altman Z-Rating doesn’t correctly seize this worth, resulting in inflated or deflated scores.​

For instance, Lenskart’s actual worth is in its omni-channel retail know-how, model recognition, and buyer knowledge. They aren’t recognized for bodily shops or enormous stock buildups.

How These Corporations Would Rating

Let’s see what truly occurred with these corporations:

Zomato: Confirmed steady losses from FY2019 to FY2023. The corporate posted unfavourable ROE of -97.44% in FY2021. The Altman Z-Rating would have flagged it as heading towards chapter. However in FY2024, Zomato posted its first revenue of Rs. 351 crore, with working revenue of Rs. 889 crore and a debt-free stability sheet. The corporate is now, comparatively, financially wholesome and rising.​ That is alter to what the Altman Z-score would have been saying solely a few years again.

Paytm: Regardless of regulatory challenges and continued losses, Paytm has over Rs. 170 billion in short-term property protecting its liabilities. The corporate is debt-free with more money than complete debt. The Z-Rating would miss this constructive liquidity place whereas specializing in collected losses.​

Lenskart: The Z-Rating would have proven misery throughout FY2022-FY2024 when the corporate was making losses. However this was strategic funding in enlargement. FY2025 income jumped 22.5% to Rs. 6,652 crore with a web revenue of Rs. 297 crore. The enterprise mannequin, I believe, has proved its sustainability. However the Z-Rating couldn’t predict this turnaround.​

Are There any Higher Alternate options for Trendy Companies?

As an alternative of relying solely on the Altman Z-Rating, listed below are higher instruments for evaluating tech corporations:

  1. Piotroski F-Rating: This can be a 9-point guidelines that offers every firm a rating from 0 to 9. It evaluates profitability, liquidity, and working effectivity utilizing easy sure/no questions. Research present it could possibly predict monetary misery with 79.2% accuracy. It’s significantly good at figuring out distressed shares displaying turnaround potential.​
  2. Ohlson O-Rating: Created in 1980, this mannequin makes use of 9 variables together with money circulation from operations and considers timing of knowledge launch. It was constructed utilizing over 2,000 corporations in comparison with Altman’s 66. This makes it extra statistically sturdy. The O-Rating achieved over 90% accuracy in chapter prediction.​ The important thing benefit? It contains funds from operations and considers whether or not an organization had losses for 2 consecutive years. It’s way more related for startups.​
  3. Trendy SaaS and Platform Metrics: For know-how and platform corporations, buyers now concentrate on completely totally different metrics:​
    • Burn Charge and Money Runway: How briskly is the corporate spending money, and what number of months can it survive? Zomato had Rs. 12,241 crore money in FY24. Paytm’s working money circulation turned constructive with Rs. 386 crore in FY25.​
    • Buyer Acquisition Price (CAC) vs Lifetime Worth (LTV): Is it cheaper to accumulate prospects than the income they generate? A wholesome ratio is 3:1 or higher.​
    • Gross Merchandise Worth (GMV): For marketplaces like Zomato, GMV measures complete transaction worth flowing by way of the platform. Although it doesn’t equal revenue, rising GMV signifies rising enterprise scale.​
    • Rule of 40: For SaaS corporations, the sum of income progress fee and revenue margin ought to exceed 40%. What does it imply? An organization rising at 50% may even afford a unfavourable margins upto -10%. One rising at 20% will want 20% margins. This balances progress and profitability.​
    • Web Income Retention (NRR): Are current prospects spending extra over time? Excessive NRR reduces dependence on new buyer acquisition.
  4. Money Circulate-Based mostly Fashions: A number of research present that money circulation ratios predict chapter higher than conventional accrual-based ratios. Fashions utilizing working money circulation to complete liabilities, or money circulation to complete debt, can predict failure 5 years forward.​ For instance, Zomato’s money circulation from operations improved from -Rs. 844 crore in FY23 to +Rs. 646 crore in FY24. This constructive money technology is a greater well being indicator than collected losses.​

What Ought to You Do as an Investor?

Don’t throw away the Altman Z-Rating fully.

It nonetheless works properly for conventional manufacturing and asset-heavy companies. However for know-how, e-commerce, and platform corporations, comply with this strategy:​

  • Use the Z-Rating as a place to begin, not the ultimate reply. If a tech firm reveals a low Z-Rating, examine why. Is it unfavourable working capital as a consequence of enterprise mannequin? Or actual monetary hassle?
  • Deal with money circulation traits. Is working money circulation enhancing quarter-over-quarter? Zomato went from burning Rs. 844 crore to producing Rs. 646 crore in a single 12 months. That’s a large constructive sign.​
  • Verify unit economics. Can the corporate generate income on every transaction? Or are they shedding cash on each sale hoping to make it up in quantity?
  • Consider the trail to profitability. Lenskart confirmed a transparent pattern. Its losses narrowed from Rs. 102 crore to Rs. 64 crore to Rs. 10 crore earlier than turning worthwhile. That’s strategic. Random fluctuating losses are regarding.​
  • Examine with friends (however not with manufacturing corporations). Zomato ought to be evaluated towards Swiggy, not towards Tata Metal. Totally different enterprise fashions have totally different monetary patterns.​
  • Take a look at liquidity individually from profitability. Paytm has robust liquidity with Rs. 170 billion short-term property, even whereas displaying losses. This distinction is essential to evaluate new age know-how corporations.

Conclusion

The Altman Z-Rating was good for its time and nonetheless has worth for conventional companies. I strongly beleive it therefore it’s been a integram a part of my Inventory Engine’s algorithm.

However making use of it blindly to Zomato, Paytm, or Lenskart kind corporations is like utilizing a thermometer to measure blood stress.

You’re utilizing the mistaken device for the job.​

Trendy tech corporations function on completely totally different rules:

  • Damaging working capital by design,
  • Intentional losses throughout progress section,
  • Asset-light fashions, and
  • Intangible worth creation.

The Z-Rating wasn’t constructed to grasp these dynamics.​

Good buyers will mix a number of instruments like under:

  • General Well being Verify: Piotroski F-Rating,
  • Chapter chance: Ohlson O-Rating,
  • Development Shares: fashionable SaaS metrics for , and
  • Money circulation evaluation for everybody.

Professional buyers may even add qualitative components like administration high quality, aggressive moat, and market alternative.

You will need to do not forget that no single metric tells the whole story. Monetary evaluation is about constructing an entire image.

The businesses that appeared “doomed” by Z-Rating requirements, like Zomato with its years of losses, can flip worthwhile when the enterprise mannequin matures.

The bottom line is understanding which losses are strategic investments and that are real misery indicators.​

Have a contented investing.

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