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Net Cash Value Net cash rich balance sheets
We took it to KrestTested
A decade of Indian data · 2016 to 2026

Buy the companies sitting on piles of cash. The ten richest turned ₹10 lakh into nearly ₹1.9 crore.

A company holding more cash than debt can survive almost anything, and the market, chasing stories, keeps under pricing that dull superpower. This screen simply bought the most cash rich, profitable companies it could find. The result is the most startling number in this series, which is exactly why the fine print deserves more attention than the headline.

₹10 lakh in the cash boxes since 2016
Growth of the portfolio · vs Nifty 500
Top decileTop 30Top 10Nifty 500

We built 261 portfolios from the screen, one for every month you could have started, held one, three and five years. The broad versions were already excellent, the top thirty made about 22.5% a year against the market's 13.9%, turning ₹10 lakh into roughly ₹75 lakh. Then there is the cut that stops you: the ten cashiest names compounded at 35.4% a year, nearly ₹1.9 crore, and did it with a smaller worst fall than the broader baskets. Before believing a number like that, take it apart.

The cleanest sort in this batch

First, the signal is genuine. Rank the whole market by net cash and the returns climb bucket by bucket with a rank correlation of about −0.85, the strongest sort among the screens in this group. More balance sheet cash meant more return, almost monotonically, from about 12% a year at the indebted end to 25% at the cash rich end. The market really did, over this decade, systematically under price the comfort of a full treasury.

Return by balance sheet cash, poorest to richest
Full decade return a year · ten buckets · D10 = most net cash
Cashiest bucketNifty 500
An almost unbroken climb. Rank correlation about −0.85, where −1 is a flawless sort.

Now the fine print behind the ₹1.9 crore

Look at what those ten names actually were: Tamil Nadu Petroproducts, Voith Paper Fabrics, Manaksia, companies few investors have heard of, held for years. Three quarters of the basket sat in micro caps, and the screen's size floor is only ₹300 crore, the lowest in this series. A backtest buys and sells such names effortlessly, at the printed price, in any quantity. A real investor moving real money into a ₹400 crore company does not. The 35% belongs to the pattern, buy overlooked companies whose cash the market ignores, more than to any portfolio you could easily replicate at scale. Treat it as evidence of a mispricing, not as a menu price.

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
22.5%
a year for the top 30 · the ten cashiest made 35.4%
91%
of five year holds beat the index · every single one made money
10%
a year over an equal weight index · a genuine edge, not just small caps

Cash cushioned the falls, but did not prevent them

The comfort of a full treasury shows up where you would hope: the ten cashiest names never fell harder than 47%, gentler than the broad versions and remarkably gentle for micro caps. But gentler is not gentle. The top thirty still fell 64% at its worst, the typical five year journey included a 53% drop against the index's 34, and a single bad year could cost you 44%. Cash keeps a company alive; it does not keep its share price out of a panic. What it bought, reliably, was the recovery on the other side: over five years every start date made money, the worst at 10% a year, and 91 of 100 beat the index.

Return by the month you happened to start
261 portfolios in all · held one year shown · top 30
Net Cash ValueNifty 500
Same screen, same rules. Cash did not prevent the falls; it paid for the recoveries.
The full teardown

The deep dive weighs the ₹1.9 crore claim properly: what concentration really did across every cut, how often each version beat the index window by window, and whether the edge survives outside a friendly economy. Short version: the mispricing looks real; the executable version of it is smaller than the headline.

Read the full teardown

The dullest margin of safety, still unpriced

Net cash is the least sophisticated thing a balance sheet can tell you, and this decade of Indian data says the market never learned to price it. That is the real finding here, more durable than any single return number: profitable companies holding fortress balance sheets, mostly small and ignored, systematically beat the market that ignored them. The gap between the pattern and your ability to capture it, in small, thinly traded names, through 50% falls, is where all the honest work lies. Measuring that gap for yourself is precisely what a tool like this is for.

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 Net Cash Value through the test on a decade of Indian data, and weighed its most startling number hard. 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 net cash ratio ranking (positive net profit and free cash flow, market cap above ₹300 cr), reconstructed yearly over the last ten years of Indian data (since June 2016), measured against the Nifty 500 total return index. Balance sheet cash as a margin of safety draws on the value investing literature. Because this rests on about ten years of data, a longer run of history could change the conclusions.

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