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Robust Profitability ROA + value
We took it to KrestTested
A decade of Indian data · 2016 to 2026

Two nearly identical screens. One beat the Indian market, one lagged it. The difference was a single line on the income statement.

Rank companies on profitability, rank them on cheapness, buy where the two agree. We have tested that recipe twice, once measuring profit high up the income statement as gross profit, and once at the bottom as return on assets. The gross profit version beat the market. This one, the return on assets version, trailed it for a decade. Same idea, one measure swapped, opposite result. The measurement, it turns out, is the whole game.

We built 258 portfolios from this screen, one for every month you could have started, held one, three and five years. Most laggards we have tested hide a consolation: give them time and the odds swing back. This one runs the other way, and that reversal is the honest headline.

Return by the month you happened to start
258 portfolios in all · held one year shown · top 30
Robust ProfitabilityNifty 500
Toggle the holding period. The win rate fell as the hold lengthened, the reverse of most screens we test.

Over one year it beat the index in about 46% of starts. Over three years, roughly 42%. Over five, barely 36%. Read that sequence again, because it is rare here: the longer you held this screen, the more reliably the plain index pulled ahead. Where patience is usually the rescue, this time it only made the verdict clearer.

Losing to the index is not the same as losing money

Now the balance. The screen still made money in almost every long window: 95 of every 100 five year holds ended positive, at a median around 13% a year. Its typical single year landed between about −23% and +56%, with the best near +105% and the worst around −45%. An investor who ran it was not ruined; they compounded respectably. They simply earned less than an index fund charging nothing, through a ride that fell nearly 70% at its deepest, which is the combination no one signs up for on purpose.

₹10 lakh from 2016, the single path
Growth of the portfolio · vs Nifty 500
Top decileTop 30Nifty 500
Positive for a decade, and behind the index for most of it.

The fall you had to sit through, start by start

There is no single drawdown number, only a spread. Take every start date and its worst drop over the next five years: the typical one lost about 55% of its value, the unluckiest close to 70%, and even the gentlest starts gave up more than a fifth. Against the index's 34% fall, this basket, three fifths of it micro caps, fell nearly twice as hard, without the extra return that usually justifies such a ride.

Worst fall over five years, by the month you started
One bar per start date · the dashed line is the typical fall
A deep spread of falls, unrewarded by a matching edge.

What it actually bought

High return on assets plus a low price mostly led the screen down the size ladder, into small industrial and commodity names where accounting profit runs hot and prices run cheap. About three fifths of the basket sat in micro caps. That mix explains both the violence of the falls and, as the teardown shows, part of why bottom line profitability proved a noisier signal than its gross profit cousin.

The stocks it kept buying
Share of yearly rebuilds each name survived
Where the money sat · average sector weight
By company size, share of the basket
46% → 36%
of starts beat the index, falling as the hold stretched from 1 to 5 years
11.9%
a year for the top 30 · the index made 13.9%
−22% to −70%
range of the worst five year fall, depending when you started
The full teardown

In the deep dive we find where the ranking worked and the one place it broke, why concentrating made everything worse, and what separates this measure from the gross profit version that won. Short version: profit measured at the bottom line carries too much noise, and the market priced that noise.

Read the full teardown

The lesson is bigger than the screen

Nothing about this idea is foolish. Profitable companies at fair prices is as sound a principle as investing has, and its gross profit cousin proved it on the same data. What failed here is subtler and more useful: return on assets, the bottom line measure, mixes true operating strength with leverage, one off gains and accounting choices, and that noise was enough to turn a winning recipe into a lagging one. The takeaway for any investor is worth the article on its own: before you trust a quality screen, ask exactly which line of the accounts it measures, because a decade of Indian data says that choice, alone, separated beating the market from trailing it.

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

KREST TESTED · RUN ON REAL HISTORY ·
Method mark
Krest Tested
We ran Robust Profitability through the test on a decade of Indian data, every start date and every holding period. The rigour is ours; the verdict is yours.

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Test before you trust.

Every figure on this page came from a few clicks on Krest. See this exact analysis live and interactive, or point the same test at any strategy you have ever believed.

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 a robust profitability screen (ranked by return on assets and by earnings yield, both descending, with positive net profit and 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. Profitability as a priced factor draws on the five factor and quality literature. Because this rests on about ten years of data, a longer run of history could change the conclusions.

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