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Cash-Backed Earnings Cash-backed earnings quality
We took it to KrestTested
The full teardown · a decade of Indian data, 2016 to 2026

The same idea, read one way, was our most reliable winner. Read the other way, it was this. The teardown sits them side by side.

Cash-backed earnings and the accruals screen are built from the identical raw measure, the gap between profit and cash. One of them beat the market steadily. This one bought the wrong end of the very same signal. Understanding why is a short course in how a real signal can be pointed the wrong way, and how to point it back.

The overview showed the ranking working perfectly and backwards. The teardown answers the obvious next question: if the clean names lose, does buying fewer of them, the very cleanest, make it worse? It does, and that tells you what this screen really is.

The purer you made it, the more it lost

Hold the broad basket and you got about 8.7% a year. Concentrate into the purest ten, the companies with the most immaculate cash conversion, and the return fell further, toward 8%, through an even deeper drawdown near 59%. A true ranking rewards concentration at its best end. This one punished it, because its best end is its worst stocks. Every step toward "higher quality" was a step down in return.

Return by how much you concentrated on the cleanest names
Full decade return a year · vs Nifty 500 ↗ See it live on Krest
Purer meant poorer. The signal is genuine; its sign is inverted.

The same measure, the opposite trade

Here is the resolution. The accruals screen uses this exact profit-versus-cash gap, but as a way to avoid the companies whose profits are least backed by cash, the likely manipulators and stumblers. Used as an exclusion, it worked. This screen takes the same measure and uses it to select, buying the most cash-backed names outright, and in doing so it loaded up on finished, slow-growing cash cows. The signal was never wrong. The instruction attached to it was. Avoid the worst, and you sidestep ruin. Buy the "best", and you inherit a decade of low-growth compounding.

No regime rescued it

You might hope it at least shone in some particular weather. It did not. Split the record by growth, inflation and rates and it stayed a step behind almost everywhere, positive in level but rarely ahead of a plain index fund. There is no macro backdrop this version was built for, because the problem is structural, not cyclical.

Median monthly return by macro backdrop
Top 30 · by direction of growth, inflation and rates
Behind in most weathers. A wiring problem, not a timing one.

How often did buying clean actually beat the market?

Less than half the time over one and three years, and only late in the sample did the five year runs pull convincingly ahead, on the back of small, cheap names doing the work rather than the clean earnings themselves.

What it held, and the worst it would have handed you

Two last checks make the risk concrete: what the basket was actually made of, by company size, and, instead of the single drawdown path, the worst fall you would have suffered no matter which month you started and held for five years.

By company size, share of the basket
Average market cap mix across the decade
Worst fall by the month you happened to start
Maximum drawdown over each five year hold
Every start date, its worst five year drawdown; the dashed line is the median. This is the fall you had to be able to sit through, wherever you came in.

Keep it as a filter, not a pick

The honest use of cash-backed earnings is the one the accruals screen pointed to: as a red flag, a reason to drop a company whose profits refuse to become cash, not a reason to buy the ones that already have. Read that way, the same numbers on this page become useful again. That is the whole argument for checking rather than trusting. Nobody would guess, from the textbook, that "buy the highest quality earnings" was a decade-long mistake in India, and nobody would keep believing it after watching this. The measure is a keeper. The direction was the error.

Try it the other way

Flip the screen to exclude the least cash-backed names and rank the survivors by cheapness or momentum instead, and you rebuild something closer to the accruals screen, a filter against poor quality rather than a bet on finished businesses. The idea was always sound. It just needed the right instruction.

So we took it to Krest, and ran it through the whole test.

KREST TESTED · RUN ON REAL HISTORY ·
Method mark
Krest Tested
We took Cash-Backed Earnings apart against its winning twin, on a decade of Indian data. The rigour is ours; the verdict is yours.

Free · no account needed

Test before you trust.

Don't take our word for any of it. Every figure in this teardown came from a few clicks on Krest, and each is a click from the full, live analysis. Reading and exploring is free.

More Krest Research

For education only. Not investment advice or a recommendation to buy, sell, or hold any security, strategy, or product. Past performance does not guarantee future results, and all investing carries risk, including the possible loss of capital. Make your own decisions, and consider consulting a SEBI registered investment adviser.

Best effort analysis. Prepared on a best effort basis from historical data and may contain errors, omissions, or assumptions. Shared for information and discussion only, and should be independently verified before you rely on it. Krest accepts no liability for any decision made or loss incurred based on it.

Figures reflect an earnings-quality screen (ranked by free cash flow to net profit and by total accruals to assets, positive net profit, market cap above ₹1,000 cr), reconstructed yearly over the last ten years of Indian data (since June 2016), measured against the Nifty 500 total return index. Concentration, regime and base rate figures computed across all rolling windows. Because this rests on about ten years of data, a longer run of history could change the conclusions.

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