Trading mechanics  ·  7 MINS · SHRESTH GOEL · 05 OCT 2026

SLBM: India's Rental Market, But No Letting Agent

Rent out shares you already own. That is the pitch, and it has been legal in India since 2008. And yet, almost nobody takes it.

The standard, misdirected, explanation is that our rules are broken. But we went deeper than that. It could be that SLBM doesn't work in India because we already have a better substitute.

And because the regulators may have some PTSD from the Badla system.

TURNOVER, CY26 ANN.
₹1,71,451 cr
LENDING FEES, CY26 ANN.
₹1,141 cr
TURNOVER CAGR
57%
UTILISATIONThe share of all lendable stock that is actually out on loan at a given moment. The standard health measure for a securities lending market, because it is indifferent to market size.
0.246%
STOCKS CONTINUOUSLY LIQUID
0of 1,004, over 44 months
A crowded line of shareholders waits outside a share lending office, while the borrowers' queue and agent's desk remain empty, highlighting India's underused securities lending market.

You own shares. Between the day you buy and the day you sell, they sit in your demat accountA dematerialised account. The electronic record, held with a depository, that shows which shares you own. It replaced physical share certificates in India from the late 1990s. doing nothing at all. Someone out there will pay you rent to borrow them for a few weeks.

That's securities lending. India has had a regulated market for it since 2008.

Almost nobody uses it.

The standard, misdirected, explanation is that our rules are broken.

Look at America, where stock lending is a fifteen-billion-dollar-a-year business. Look at us. Widen the list of eligible stocks, cut the collateral, and we'll catch up.

We think that reading is wrong, and the exchange's own data says something considerably stranger.

Why borrow shares when there's a cheaper substitute?

First, why borrow at all?

Mostly to sell.

You borrow stock you don't own, sell it, and buy it back cheaper. Or you're capturing a price gap between two markets. Either way you need the actual shares in hand, not a substitute.

In America, borrowing is the only route. The US banned single-stock futures for the better part of two decades, revived them badly in 2000, and the last dedicated exchange for them shut in 2020.

So if an American wants to bet against one company, they have to go and find the stock.

That single regulatory accident built a fifteen-billion-dollar industry.

India went the other way.

Through the 1990s our market ran on badla, a homegrown system that let traders roll positions forward instead of paying up or delivering.

Opaque, hard to police, tangled up in that decade's scandals. SEBI shut it down at the turn of the millennium and exchange-traded derivatives arrived as the regulated replacement. Single-stock futures exist precisely so an Indian trader can bet on one company without badla. They took to them enthusiastically. They still have.

Now put the two routes side by side. Borrowing isn't free. You have to leave money with the clearing corporationThe entity that steps between every buyer and seller on the exchange, guaranteeing both sides of a trade so neither has to trust the other. In securities lending it is the counterparty to the lender and the borrower alike, and neither ever deals with the other directly. as security, so that if you vanish with the shares the lender still gets paid: a deposit, returned when you return the stock.

Except this deposit is bigger than the thing you're renting.

Imagine a landlord asking ₹2.2 lakh to hold a flat worth ₹2 lakh, for one month.

To short ₹2,00,000 of one stock

Route A

Borrow the stock and sell it

Value-at-risk marginThe amount the exchange expects a stock could lose in a single day in all but the worst 1% of cases. Set per stock from its own recent volatility, with a floor for liquid names.₹15,000
Extreme loss marginA second, flat layer of margin sitting on top of the value-at-risk figure, held against the days the first layer was never designed to cover.₹7,000
You post₹2,22,000

Route B

Sell a single-stock future

SPAN marginStandard Portfolio Analysis of Risk. The exchange models a portfolio across a grid of price and volatility moves and charges margin on the worst outcome, which is why a hedged book posts less than an outright one.included
Exposure marginincluded
Nothing else₹0
You post₹45,000
Same view, same stock, same afternoon4.9× the capital
The same short, two ways. Lending collateral is 100% of the lending price plus value-at-risk and extreme-loss margin. Derived from NSE Clearing's published SLBS rules and realised volatility across 248 sessions. The futures margin of roughly 22.5% is an assumption.

If the substitute is five times cheaper and already liquid, what exactly is being fixed?

Who is supposed to be making this market?

Here's the thing.

In every developed lending market, most activity doesn't run directly between the person who owns the shares and the person who wants them. It runs through a letting agent.

The agent borrows from fifty small holders and lends the whole block onward to one fund at a slightly higher rate.

Never owns the stock. Never takes the price risk. Keeps the spread.

That agent is what turns scattered, disinterested supply into inventory somebody can actually use on a Tuesday.

India has made the job impossible.

Our market settles gross.

Picture the agent taking a lease on a flat in the morning and subletting it that afternoon. Economically they're flat: the two deals cancel. But the building manager insists on treating them as two completely unrelated tenancies.

Full deposit on the way in, full obligation on the way out, no credit whatsoever for the fact that they offset.

That's what happens with shares. Borrow 10,000 and lend the same 10,000 out again, and the clearing corporation sees two separate trades. Collateral on one, delivery on the other, no netting.

Run the numbers on a ₹400 stock. Say the agent borrows at 4% and lends at 7%, illustrative rates, but the shape holds at any realistic spread. Collateral required: ₹44.4 lakh. Spread earned: ₹1.2 lakh a year. Cost of funding that collateral: ₹2.89 lakh.

The letting agent loses money by showing upThe letting agent loses money by showing upBorrowing 10,000 shares of a ₹400 stock at 4% and lending them on at 7%. Illustrative rates.EarnedPaid outNet₹1.5L1.00.50.0-0.5-1.0-1.5-2.0-2.5-3.0₹ lakh / yr+₹1.20LSpreadearned−₹2.89LCost of fundingthe collateral−₹1.69LNet resultTo break even the spread would have to clear 7.2%: more than the average rent in the market.Our arithmetic, on NSE Clearing's gross-settlement and margin rules. Collateral funded at 6.5%.
Figure 1. A matched book of 10,000 shares in a ₹400 stock, run for a year. Illustrative borrow and lend rates. Collateral funded at 6.5%. Our arithmetic, applying NSE Clearing's gross-settlement and margin rules.
Show the full table, 6 rows
Position value₹40,00,000
Collateral posted (1.11×)₹44,40,000
Spread earned (7% less 4%)+₹1,20,000
Cost of funding collateral at 6.5%−₹2,88,600
Net result−₹1,68,600
Spread needed to break even7.2%

Our letting agent loses ₹1.69 lakh a year for the privilege of showing up.

To break even, the spread would have to clear 7.2%, more than the average rent in the entire market.

So nobody does it.

So why did India build it this way?

Not by accident, and not stupidly. This is the part most critiques skip.

Every lent share has to trace back to a named lender. Dividends, bonus issues, early terminations: all of it has to reach the right person. Netting turns shares into an anonymous pool. Gross settlement keeps the chain intact: one lender, one contract, one identifiable owner at the end of it.

It also eliminates an entire category of settlement failure by construction. The clearing corporation says as much in its own documentation: there is no such thing as an internal shortage if there is no internal netting.

Crude, but genuinely robust.

And then there's the history we just walked through. The framework was drawn up in 2007-08, when badla was still fresh in institutional memory.

A netted, intermediated share-lending layer, middlemen quietly rolling positions between parties nobody could see, would have looked uncomfortably like the thing SEBI had spent years dismantling.

Every one of those reasons is sound.

The cost is that India removed the middleman along with the risk. What's left is a market that exists only on the days a borrower and a lender happen to want the same stock at the same moment.

So how often does that happen?

How many stocks can you actually borrow on a given day?

We went through NSE's own transaction record: 44 monthly files, January 2023 to August 2026, 1,004 securities.

Set the bar at five trades in a month. Five. Then ask how many stocks clear it in every single month across those four years.

None.

Now, the averages look nothing like that. Across the last twelve months, the typical active stock did 454 trades a month. Both numbers are true, and the gap between them is the finding.

It's like being told the average street in a city has 454 shops, when almost every street has seven, and one of them has a shopping mall on it.

The average stock trades 454 times a month. The median trades seven.The average stock trades 454 times a month. The median trades seven.Every security-month in NSE's lending record, last twelve months. Log scale: each gridline is ten times the last.Percentile of security-monthsThe average1101001,00010,000trades in a month25% of stock-months2Median stock-month775th percentile4390th percentile64295th percentile2,29199th percentile8,600the average: 45441% of security-months see fewer than five trades. The busiest tenth account for 92% of every trade in the market.NSE SLB transaction record, Sep 2025 to Aug 2026. Percentiles across all security-months.
Figure 2. Trades per security-month across NSE's lending record, last twelve months. Log scale. Percentiles computed across every security-month in the period. Our arithmetic.
Show the full table, 9 rows
25th percentile2
Median7
75th percentile43
90th percentile642
95th percentile2,291
99th percentile8,600
Mean454
Security-months under 5 trades41%
Share of trades from the busiest tenth92%

Continuity is improving. But stretch the window to four years and not one name holds up.

Today's borrowable stocks weren't borrowable two years ago.

(Take a moment with that.)

This isn't a concentration problem, which is how it usually gets written up. It's an availability problem. And if you're a fund that needs to borrow one specific name on one specific Tuesday, availability is the only thing that matters.

So what is SEBI actually fixing?

Reportedly, the list.

Roughly doubling the number of eligible stocks, from 176 to around 350, with a decision expected by the end of the year.

Here's the concerning bit. Across those same 44 months, turnover grew 3.86 times, while the number of stocks actually trading grew 1.44 times. Trades per active stock rose 6.1 times.

The growth came from more activity in the same names. It has never come from the list getting longer. The new arrivals contribute almost nothing: the bottom half of every stock that traded last year accounts for 0.03% of turnover.

Then there's the screen everyone wants relaxed. A security makes the eligible list by satisfying any one of three routes.

Three doors onto the lending list: and the one everyone wants widenedThree doors onto the lending list: and the one everyone wants widenedA security qualifies by satisfying any one of these. No security needs to clear all three.ROUTE 1Derivatives segmentIt already trades in NSE'sfutures and options segment.orROUTE 2Index ETFTraded on at least 80% of daysover six months, with an impactcost of 1% or less.orROUTE 3Group I scripTop liquidity bucket, AND amarket-wide position limit≥ ₹100 cr, AND ≥ ₹100 cr ofmonthly cash turnover.The route under reviewOf the stocks already on the list, 97.8% clear the ₹100 crore turnover test.Criteria: NSE Clearing SLB eligibility rules. Clearance rates from NSE cash data, 403 securities.
Figure 3. The three qualifying routes onto the lending list. Criteria as published in NSE Clearing's SLB eligibility rules. Clearance rates derived by us from NSE cash-market data for 403 eligible securities over 248 sessions.
Show the full table, 5 rows
Route 1, derivatives segmentautomatic
Route 2, index ETF80% of days, impact cost ≤1%
Route 3, Group I scripThe exchange's top liquidity bucket: the stocks that trade every day without gapping, judged on how often they trade and how far the price moves against an order.MWPLMarket-wide position limit. A cap the exchange sets on how much of a company can be held in derivatives at any one time, scaled to the company's free float. ≥ ₹100 cr AND turnover ≥ ₹100 cr/mo
Eligible stocks clearing the turnover test97.8%
Typical eligible stock, monthly cash turnover~₹2,400 cr

That last route is the one under discussion. And of the stocks already eligible, 97.8% clear the ₹100 crore turnover test.

Put differently: SEBI could raise that threshold to ₹1,000 crore and still keep roughly three-quarters of the current list.

More flats on the shelf. Still no letting agent.

And what happens when something goes wrong?

Worth knowing before you lend anything.

If you promise shares and fail to deliver them, you're closed out: you pay a penalty and the trade is unwound.

The penalty is whichever of two formulas is larger: 25% of the stock's closing price, or the highest price it traded at during the failure window, minus that closing price. In practice the first one almost always wins, because stocks rarely swing 25% in a day.

On a ₹2,00,000 position, that's ₹52,500.

Rent earned, penalty risked: fifty-two to oneLend ₹2,00,000 of stock for a month, then fail to deliver it.Rent you earnPenalty you pay011k22k33k44k₹55k₹1,000Lending fee earnedone month, 6% a year₹52,500Close-out penalty25% of the closing priceThe penalty is the larger of two formulas. In practice the 25% one always wins: stocks rarely swing that far in a day.Close-out formulas from NSE Clearing's SLBS rules, on a ₹2,00,000 position. Our arithmetic.
Figure 4. What a lender earns on a ₹2,00,000 position, against what a failure to deliver costs. Close-out formulas as published in NSE Clearing's SLBS rules. Applied by us at a 6% annualised lending fee.
Show the full table, 6 rows
Position value₹2,00,000
Lending fee earned, one month at 6% p.a.₹1,000
Close-out penalty, 25% of closing price₹52,500
Ratio52×
Single-day moves above 25%, 403 stocks / 248 sessions9
Implied chance per stock per year~2%

Now flip it around, because that 25% is also a ceiling.

The close-out is meant to make the injured party whole. If a lent stock gaps 40% on a fraud disclosure or a sudden regulatory action, the formula still pays out 25%. The remaining 15% doesn't vanish. It lands on the clearing corporation's default fund, the pot of money that backstops every trade on the exchange.

How often does a stock move more than 25% in a day? We checked 403 stocks across 248 trading sessions: nine times, stripping out splits and bonuses. Roughly a 2% chance per stock per year.

Nine is nothing in a market this size. But the proposal on the table is to widen the eligible list toward thinner, less liquid stocks, which are precisely the ones that gap 40% on bad news. The formula stays exactly where it is.

And yet

Every number above says this market shouldn't work. Here's the one that says otherwise.

Indexed to 100 in calendar 2023, turnover in India’s securities lending market reaches 470 by 2026 and lending fees reach 597, compound growth of 57% and 70% a year.The market everyone calls dormant has quadrupled since 2023Both series indexed to 100 in calendar 2023. CY2026 annualised from eight months.Lending feesTurnover0100200300400500600index, 2023 = 100CY2023CY2024CY2025CY2026*597fees470turnoverTurnover ₹36,505 cr to ₹1,71,451 cr. Lending fees ₹191 cr to ₹1,141 cr.57% and 70% a year, compounding, through two completely different market regimes.NSE SLB transaction record, 44 monthly files. *CY2026 annualised from January to August. Our arithmetic.
Figure 5. Turnover and lending fees, indexed to 100 in calendar 2023. CY2026 annualised from January to August. NSE SLB transaction record, 44 monthly files. Our arithmetic.
Show the full table, 8 rows
Turnover, CY2023₹36,505 cr
Turnover, CY2024₹44,130 cr
Turnover, CY2025₹76,597 cr
Turnover, CY2026 annualised₹1,71,451 cr
Lending fees, CY2023₹191 cr
Lending fees, CY2026 annualised₹1,141 cr
Turnover CAGR57%
Lending fee CAGR70%

Utilisation has tripled in twelve months.

So we're left holding two facts that don't sit comfortably together.

A market compounding faster than almost anything else in Indian finance. And a market where the median stock trades seven times a month, no middleman can afford to exist, and the reform on the table lengthens a shelf that was never the problem.

One of those is the story everyone is writing. The other is in the exchange's own files.

Which one would you bet on?

About the author

Shresth Goel

One of our writers at Thinq. Shresth read Politics at King's College London, followed by stints at Kotak Mahindra Bank, Bank of America, and a climate-tech startup in London. He is a CFA Level 3 candidate, and thinks of ripping businesses apart as a relaxing hobby. Why? We can't say. What we are certain about is that he reads the fine print so you don't have to! 

If you liked the story above, know that this one took a 44 monthly transaction files and about thirty hours. The next one gets the same treatment. We publish company analysis, weekly trade post-mortems, and plain-language explainers of the mechanics nobody teaches: all free, all on the website first.

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FAQ

What is SLBM, in one sentence?

It is a regulated market where a shareholder rents out stock they already own to someone who needs to borrow it, usually to sell it short or to capture a price gap between two markets. India has had one since 2008.

Why does almost nobody use it?

Because India built a cheaper substitute first. Shorting ₹2,00,000 of a stock through the lending market ties up ₹2,22,000 of collateral. The same position through a single-stock future ties up about ₹45,000. That is 4.9 times the capital for an identical view.

What is gross settlement, and why does it matter?

It means the clearing corporation treats every borrow and every lend as unrelated, even when they cancel each other out. A dealer who borrows 10,000 shares and lends the same 10,000 on gets no credit for the offset: full collateral one way, full delivery the other. On a ₹40 lakh book that costs about ₹1.69 lakh a year, so nobody runs one.

How many stocks can you actually borrow?

Across 44 months and 1,004 securities, not one cleared even five trades in every single month. The median security-month sees seven trades, 41% see fewer than five, and the busiest tenth account for 92% of all trading.

Is SEBI's plan to widen the eligible list going to help?

The record suggests the list was never the constraint. Turnover grew 3.86 times while the number of stocks actually trading grew 1.44 times, and the bottom half of names contribute 0.03% of turnover. Of the stocks already eligible, 97.8% clear the turnover screen.

So is the market failing or growing?

Both, which is the uncomfortable part. Turnover went from ₹36,505 crore in 2023 to ₹1,71,451 crore annualised in 2026, and lending fees from ₹191 crore to ₹1,141 crore: 57% a year compounding. It is growing quickly from a very small base.

Published by Thinq. Neither the author nor Thinq is currently registered with SEBI as a Research Analyst or Investment Adviser. This article is analysis of the regulator's public disclosures. It is not a recommendation to buy, sell or subscribe to any security, contains no price target, and should not be used as the basis for an investment decision.

The market updates, figures, news, analysis, and information provided in this article are purely for informational and educational purposes only.

It does not constitute investment advice, a recommendation, or an offer to buy or sell any security. The price at which any security lists or subsequently trades may rise or fall depending on market conditions, sector dynamics, regulatory developments, and other factors, and may differ materially from any estimated band discussed here.

Past financial performance discussed in this article is not necessarily indicative of future performance and should not be treated as a projection of similar outcomes going forward.

Readers are requested to read the final prospectus and all offer-related documents carefully, and to obtain independent professional advice on the legal, tax, and financial implications, before making any investment decision. We do not guarantee the completeness, timeliness, or accuracy of the information provided.

Market data and conditions change rapidly, and figures may become out of date.

Thinq and its authors, and affiliates will not accept any liability for any direct, indirect, or consequential loss or damage arising directly or indirectly from the use of or reliance on the information contained in these market updates.

All figures are drawn NSE's SLBM data unless otherwise stated. Calculations described as derived are our own, computed from figures in that document; everything else is stated in the source. Where we disagree with the presentation of numbers, we show the arithmetic.

Reflects public information as at 05 October 2026.

Investment in securities market are subject to market risks. Read all the related documents carefully before investing.

Sources: NSE SLB transaction data · NSE Clearing, SLBS clearing and settlement · SLBS margins · SLBS risk management · SLB scheme FAQ · SEBI circular, October 2008 · SEBI circular, November 2012.