Retail F&O losses: ₹1.81 lakh crore risk map

What the ₹1.81 lakh crore figure represents

Online discussions citing SEBI data point to a large, multi-year retail loss pool. For FY22 to FY24, 1.05 crore out of 1.13 crore unique individual traders reportedly ended with net losses after costs. That implies 92.8 percent of participants losing money over the three-year window. The aggregate net loss figure widely quoted is ₹1,81,383 crore for FY22 to FY24. The framing matters because the figure is net of costs, not a gross trading P&L. It is also not a market-wide loss number, but specific to individual equity-derivatives traders. Social media posts use this number to argue that retail F&O outcomes are structurally unfavourable for most traders. The same discussions also highlight that participation surged even as losses stayed widespread.

Participation surged even as outcomes stayed poor

SEBI-linked data referenced online shows the individual F&O trader base rising sharply. The number of individual traders is cited as moving from roughly 48 lakh in FY22 to over 1 crore by FY24. Another set of figures in circulation puts the base at 42.7 lakh in FY22 and 1.06 crore in FY25. Individuals are also cited as contributing more than 35 percent of total equity derivatives investments. That combination increases the absolute rupee impact of losses, even if loss rates move slightly. A key point in the discussion is that bigger participation does not automatically mean better skill. SEBI’s findings shared online say trading experience did not materially improve outcomes. Probability of losses reportedly remained high even after consecutive years of participation.

FY25 to FY26: loss rate improved, losses persisted

SEBI’s newer study discussed online shows some improvement in the share of losers, but not a reversal. In FY26, 87.7 percent of individual equity-derivatives traders reportedly incurred losses. That compares with about 91 percent in FY25 based on the same narrative. Aggregate net losses in FY26 are cited at ₹91,685 crore. FY25 losses are discussed as a revised ₹1.12 lakh crore, with a restated FY25 figure of ₹1,11,788 crore in an August 2026 study. The August 2026 study reportedly returned to a broker set used earlier and cited a larger sample as the reason for restatement. Participation reportedly fell after SEBI measures, with an 18 percent reduction in active traders in FY26. Yet the social-media takeaway is consistent: most individuals still lost money.

Where the losses came from: options and very short expiry

A repeated point in the shared context is that options trading dominated retail losses. For FY26, around 92 percent of aggregate losses incurred by individuals reportedly came from options. Trading activity is also concentrated in short-duration contracts. About 59 percent of index-options turnover in FY26 was in contracts expiring the same day. Around 75 percent was within one day and about 97 percent within one week. The cited explanation is that very short-term trading becomes highly sensitive to timing and volatility. Vinit Bolinjkar of Ventura is quoted saying short-term exposure makes outcomes very sensitive to volatility and timing. Social discussions connect this to rapid decision cycles and repeated re-entry. This structure increases the chances that a small edge is overwhelmed by noise and costs.

Leverage and position sizing: the exposure multiplier problem

Leverage is repeatedly flagged as a central reason retail losses can snowball. Bolinjkar is quoted saying derivatives can expose traders to many times their underlying capital. That means small market moves can translate into disproportionately large losses. Reddit threads also point to sizing positions to broker margin availability or a “tip” amount. Users describe this as creating a mathematically high risk-of-ruin at the chosen position sizes. This is not presented as a guarantee of loss, but as a risk amplifier. When leverage is combined with short expiries, drawdowns can arrive faster than many traders can adjust. The discussion also links leverage to frequent top-ups and escalation after losses. SEBI’s findings shared online similarly tie higher trading intensity to higher loss rates and larger losses.

Costs: a consistent drag on high-turnover strategies

Costs are a recurring theme because they compound with high turnover. SEBI-linked figures shared online put individual traders’ transaction costs at about ₹25,000 crore in FY26. Another cited statistic is ₹51,689 crore of transaction costs across FY22 to FY24. Bolinjkar is quoted saying transaction costs materially widen the difference between gross outcomes and realised net returns for high-turnover strategies. Users also describe cost drag from brokerage, STT, GST, exchange fees and slippage. A commonly shared range is 0.05-0.15 percent of notional one-way for such frictions, framed as a typical drag rather than a precise rule. The practical point is that small, frequent trades must overcome a larger hurdle. When a strategy has no durable edge, costs can be decisive. This helps explain why net outcomes remain negative even if some trades are profitable.

Who appears most vulnerable in the data discussed

The SEBI-linked breakdowns shared online highlight a concentration of losses among smaller accounts. About 35 percent of individual derivatives traders reportedly had no equity holdings. Nearly 78 percent reportedly had equity portfolios below ₹1 lakh. These small-portfolio traders reportedly accounted for around 70 percent of aggregate losses while contributing only about half of turnover. Loss incidence is also shown as varying by financial capacity. About 93 percent of traders with no equity holdings reportedly incurred losses, compared with 58 percent among those with equity portfolios above ₹10 crore. Geography also features in the discussion: investors outside the top 30 cities represented roughly two-thirds of individual derivatives traders and about 58 percent of losses. The narrative conclusion is that limited capital plus high intensity increases fragility.

A small group drives very large losses

SEBI-linked data discussed online also points to a fat-tail distribution of losses. The top 3.5 percent of loss-making traders, around 4 lakh individuals, reportedly lost an average of about ₹28 lakh each during FY22 to FY24. This is frequently cited to show that risk is not evenly spread. It also helps explain why aggregate loss numbers can look extreme even if many traders lose smaller amounts. Discussions connect this to leveraged option buying and repeated short-expiry bets. The implication is that “average loss” can hide the probability of very large drawdowns for some participants. The FY26 commentary also notes the average loss per trader rising to around ₹1.17 lakh even as the loser share fell. Taken together, it suggests fewer active traders did not automatically reduce severity for those who remained.

Key SEBI-linked numbers cited in discussions

The figures below summarise the most repeated SEBI-linked metrics circulating online. They are presented as stated in the shared context and are not reconciled beyond what is provided. Where multiple FY25 numbers appear, both are shown as reported.

Why the topic keeps trending despite repeated warnings

The repeated reappearance of these numbers reflects how fast derivatives participation has grown. A separate set of data points shared in the context shows monthly F&O turnover reaching ₹8,740 lakh crore by March 2024, up from ₹217 lakh crore in March 2019. Another cited statistic shows average daily traded premium in index options rising from ₹4,359 crore in FY20 to ₹64,881 crore in FY25, while notional turnover rose from ₹12.6 lakh crore to ₹418 lakh crore. As participation rises, the aggregate loss pool becomes more visible, even if individuals each lose smaller amounts. SEBI also cites international evidence, discussed online, that retail investors globally incur losses in derivatives and other leveraged products. That makes the India discussion less about a one-off anomaly and more about product design and behaviour under leverage. The core risk story in the shared context is consistent: short-expiry options, high turnover and costs can dominate outcomes. For retail investors, the debate has shifted from “can you profit” to “how do you limit exposure and avoid ruin”.