Dear Reader,
This newsletter is about backtesting.
If you trade public equities or run a quant fund (here’s wishing), backtesting is your bread and butter. You take a strategy, run it against decades of clean, timestamped historical data, and ask a simple question:
“If I had followed this rule in the past, would I have made money?”
In public markets, you can test a strategy over a weekend. In private markets, tracking historical data is notoriously difficult.
But at Oister, we are obsessed with borrowing discipline from the public markets. We wanted to see if the core thesis driving our late-stage investment strategy actually holds water.
We already do some of this. As you may have seen, our benchmarking work with CRISIL tracking private market Category II AIFs over the last decade shows that private funds have materially outperformed public markets. Across the last seven benchmarking cycles, equity AIFs delivered an average alpha of ~8.7% over the BSE Sensex TRI.
But we wanted to go further. At Oister, we do secondaries. We spend a lot of time looking at late-stage companies, the ones that are 18 to 36 months away from an IPO. And the core belief that drives a lot of what we do is this: if you enter these companies in that window, and hold them for at least a year post-listing, you capture superior, asymmetric returns.
So we took a shot at it.
We tracked 26 VC/PE backed companies that launched mainboard IPOs on the BSE or NSE and have at least a year of trading history. There were no sector or return filters. You will recognize pretty much every name: Zomato, Nykaa, Paytm, Swiggy, PolicyBazaar, and Mamaearth.
For each one, we mapped three specific milestones:
One honest caveat before we dive into the data: Every company in this dataset successfully made it to the public markets. The dozens of companies that stalled, withdrew, or failed to list aren’t here. Thiis is the story of 26 startups that IPOed in the last 3-4 years
Here is what the data revealed and why it surprised us.
The Arc of Value Creation

We tracked value creation across three moments: the pre-IPO valuation (last institutional funding round, typically 24–36 months before listing), the IPO market cap at listing, and the post-listing market cap 12–24 months after. The 1.87x MOIC reflects the median return if you exited at IPO. The 2.80x reflects the median if you held through the post-listing period.
Exit at IPO vs. Hold Post-IPO: The Median Story

Median MOIC across 26 VC/PE-backed Indian companies that listed on mainboard exchanges between 2018–2025. Pre-IPO valuation = last institutional funding round. Post-IPO = market cap 12–24 months after listing date.
The high-level data completely validates the strategy.
More importantly, the data completely dismantles a favorite playbook of impatient investors: buying pre-IPO, riding the listing pop, and flipping on Day 1.
If you flipped on day one, your median return dropped to 1.87x. By failing to hold, you left an entire turn of capital on the table. And here’s the nuance worth sitting with: the IRR is nearly identical, 24.8% versus 24.6%. So if you exited at IPO, you weren’t wrong on rate of return. You were just wrong on absolute wealth created. Same annual engine. The hold just kept it running longer.
In fact, 19 out of 26 companies explicitly rewarded patience.
For the vast majority, the IPO listing was barely the halfway mark where earnings maturity and market re-rating finally kicked in. And not the finish line.
Hiding behind that beautiful 2.83x median is an uncomfortable truth: extreme return dispersion. Late-stage Indian tech investing is characterized by a few spectacular breakout winners, a handful of punishing casualties, and a very quiet middle.
The key learning for us has been that individual company selection at the pre-IPO stage is inherently difficult, with outcomes often driven by factors that are hard to underwrite consistently in advance. The biggest, most institutionally backed “consensus bets” frequently underperformed, while unassuming, quieter businesses blindsided the market on the upside.
If individual winners are impossible to forecast with absolute certainty, how do you capture that highly lucrative 2.83x median?
The golden rule of private markets applies here: Concentration is the enemy. Diversification is the alpha. The investors who win don’t try to guess the single winning horse; they own enough of the basket to ensure that when an outlier hits, they hold the ticket.
Even if you get the diversification right, investors run into a structural problem the data can’t show you: forced early exits.
The data can’t show you the fund that matured in year four and was forced to sell Nykaa at ₹60 to return capital to LPs, right before the stock took off. Most investors don’t exit early because they want to; they exit because their fund structures dictate it.
When fixed fund timelines end or LPs demand distributions, perfectly good investments get crystallized at a 1.87x listing return, leaving the 2.83x post-listing compounding on the table.
This leaves late-stage investors facing two distinct roadblocks:
This is where we feel that the secondary market steps in. (Full disclosure: This is what we do at Oister, so feel free to weigh our bias accordingly).
A secondary transaction acts as a relief valve. It allows an early investor who needs liquidity to exit cleanly, while a secondary buyer enters at a price that reflects current, grounded realities rather than historical hype.
Because secondary buyers enter later in the cycle, they operate on a refreshed, cleaner timeline. They aren’t constrained by a legacy fund structure raised years prior, meaning they have the structural patience required to hold the position for the full 1 to 2 years post-listing that the data rewards.
Risk-Return Profiles of Private Market Asset Classes (Global Data)¹

India’s secondary landscape is growing exceptionally strong, scaling from a peripheral option into a mature, institutional liquidity channel, with average deal sizes surging 3.7x since FY20 to reach ₹8.39 billion. The acceleration is now so rapid that the H1 FY26 deal value (~₹361 billion) has already nearly matched the entirety of FY25 (~₹377 billion). Source
This volume is paving the way for institutional vehicle designs that explicitly build diversification into the strategy from day one, something UHNIs, HNIs, and family offices are actively prioritizing.
At Oister, we are already managing our third secondary fund in just two years, with over ₹1,000 crores deployed. We are seeing a fast-maturing market where domestic capital can finally access late-stage compounding systematically.
The laws of market gravity remain undefeated. If you want to capture true value in late-stage tech, two non-negotiable rules apply: Diversify your exposure, and have the patience to hold.
Secondaries are fast becoming the natural entry point to execute this playbook, offering a way to acquire a diversified portfolio with the structural patience required to let the full arc of compounding do its work.
The backtest simply proved what we already believed.
Thank you, and see you next month.
Jai Hind
Please note:
Oister Proprietary Research. Data sourced from Tracxn, and public filings. We’ve tried to be as accurate and honest as possible, including about the limitations. This is not investment advice. It’s us trying to understand our own market a little better, and sharing what we found.
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