Net-Net Stocks

What Is a Net-Net Stock?

The net-net framework was developed by Benjamin Graham and is described in detail in Security Analysis (1934) and The Intelligent Investor (1949). Graham defined a net-net working capital (NNWC) as: current assets minus total liabilities. A company trading below its NNWC is available at a price less than the liquidation value of its current assets alone — before assigning any value to fixed assets, intangibles, or the going-concern business.

Graham's reasoning was straightforward: if you can buy a dollar's worth of liquid assets for 67 cents, you have a margin of safety even if the business never earns another dollar of profit. The strategy was enormously effective during and after the Great Depression, when market prices frequently fell below liquidation value for solvent companies. Graham's own partnership reportedly ran large positions in net-nets throughout the 1930s and 1940s.

The strategy is significantly harder to execute today than it was in Graham's era. In efficient modern markets, true net-nets are rare among US-listed companies of any meaningful size — most appear in micro-cap and nano-cap names, often in declining industries, with genuine operational problems that explain why the market is assigning a sub-liquidation price. The strategy has been documented to still generate positive excess returns in academic studies (most notably Oppenheimer 1986, Wen et al. 2010), but the universe is small and illiquid, transaction costs are high, and the companies are frequently miserable businesses.

Where net-nets do appear more regularly is in international markets — Japan in particular had large net-net populations throughout the 2000s and 2010s, which is how several well-known value investors generated outsized returns there.

The criteria in plain English:

• Current assets minus total liabilities > market capitalization (true Graham net-net)
• The company is solvent and has not drawn down cash to crisis levels
• Ideally, the company has some earnings power, even if modest

A useful relaxation is to screen for companies where current assets minus total liabilities represents at least 1.5× market cap — a margin of safety on top of the margin of safety.

This screen is honest about its limitations: net-net companies are often cheap for reasons that persist. Graham himself wrote that roughly one-third of net-nets eventually recovered to fair value, one-third remained cheap indefinitely, and one-third deteriorated further. Diversification across a basket of 20–30 names, rather than concentrated positions, is how the strategy has historically worked.

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How to Run This Screen in GeminIQ

GeminIQ provides current assets, total liabilities, and market cap as filterable fields, allowing you to approximate the Graham net-net filter. A precise NNWC ratio (net current assets ÷ market cap) is available in the calculated metrics view for each individual company.

Step 1. Open the GeminIQ Screener

Step 2. Add the following filters to identify the net-net candidate pool:

Filter	Operator	Value
Current Ratio	≥	2.0
PB	≤	0.75
Debt Ratio	≤	0.5

This combination identifies companies with strong current asset coverage, low price-to-book, and manageable total liabilities relative to assets — the profile consistent with a net-net candidate.

Step 3. Set Sort By to PB, direction Ascending.

Step 4. For each result, open the company in GeminIQ's Financial Statements view and calculate: (Current Assets − Total Liabilities) ÷ Market Cap. Any company where this ratio exceeds 1.0 is a true Graham net-net.

GeminIQ Tip: After identifying candidates, use the Visualizations tab to chart current assets vs. total liabilities vs. market cap over time. A company where the spread is narrowing quarter over quarter (liabilities growing faster than current assets) is a deteriorating net-net. One where the spread is stable or widening is more interesting.

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What Aggregator Data Misses for This Screen

Net-net screening is more sensitive to balance sheet accuracy than almost any other strategy, because the entire thesis rests on the liquidation value of current assets.

Receivables quality. Aggregators report total receivables as a single line. As-filed XBRL data frequently contains separate disclosures for trade receivables, related-party receivables, and allowances for doubtful accounts. A company that has quietly increased its allowance for doubtful accounts — visible in the XBRL detail but collapsed into a net receivables number on aggregators — has lower true current asset value than the headline number suggests. GeminIQ preserves the as-filed line item structure, letting you see these sub-components.

Inventory valuation. Graham applied a haircut to inventory (typically 50–75 cents on the dollar) when calculating NNWC, because inventory liquidation is impaired. Aggregator screeners use book value inventory. Seeing the full inventory footnote — work-in-process vs. finished goods, LIFO reserves, write-down history — requires the source filing. GeminIQ's financial statements link back to the XBRL source for each balance sheet line.

Off-balance-sheet current obligations. Some companies carry current-period operating lease payments that effectively function as current liabilities even if not classified as such. The classification of lease liabilities as current vs. noncurrent has changed since ASC 842 adoption and is reported differently across filers. An aggregator applying a normalized template may misclassify these, distorting the net current asset calculation.

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GeminIQ builds its financial statement database from raw SEC filings, not from third-party financial data APIs.

This screen is educational and does not constitute investment advice. Past performance of any strategy does not guarantee future results.