Why Top-Performing Mutual Funds in India Rarely Stay on Top
Between 60% and 80% of mutual funds that ranked in the top 25% over any three years fell out of those rankings in the following three years. In several rolling windows, the failure rate was 100%; not a single top-ranked fund held its position. It’s how markets work: cycles change, fund sizes balloon, and the strategy that worked last year stops working. The problem is that millions of investors pick funds because they’re at the top of a chart precisely when the window of outperformance has often already closed. This blog shows you exactly what the data says and what to look at instead.
Introduction
Between 60–80% of India’s top-ranked mutual funds fall out of the top 25% within just 3 years. If you’ve ever picked a fund because it topped the returns chart last year, this article is for you. Every year, millions of Indian investors pull up a mutual fund comparison app, sort by “highest returns,” and invest in whatever fund sits at the top. It feels logical. It is one of the most expensive habits in personal finance. The data proves it, and once you see the numbers, you’ll never pick a fund the same way again.
The Core Problem: Past Returns Are a Trap
According to DSP Report (January 2026, NAV data from MFI Explorer as of December 2025), between 60% and 80% of mutual fund schemes that ranked in the top quartile of the top 25% of all funds in any given 3-year period slipped into lower quartiles in the following 3 years. This pattern repeated without exception across every rolling window from 2013 to 2025, and across every major fund category: Large Cap, Mid Cap, Small Cap, Large & Mid Cap, and Flexi Cap.
Think about what that means in plain terms. If you pick a fund because it was in the top 25% over the last 3 years, there is a 60–80% chance it will not be in the top 25% over the next 3 years. In several periods, the failure rate was 100%, meaning not a single top-quartile fund held its ranking. This is not bad luck. It is the historical norm.
What is “top quartile”?
If there are 100 large-cap mutual funds in India, the top 25 by returns form the “top quartile.” These are the funds that appear on “best mutual funds” lists. The data shows that most of these 25 funds will not be in the top 25 three years from now.
| Fund Category | 2013–15 → 2016–18 | 2016–18 → 2019–21 | 2018–20 → 2021–23 | 2020–22 → 2023–25 |
| Large Cap | 67% | 67% | 100% | 67% |
| Mid Cap | 80% | 80% | 80% | 67% |
| Small Cap | 67% | 100% | 75% | 60% |
| Large & Mid Cap | 80% | 80% | 100% | 83% |
| Flexi Cap | 75% | 100% | 80% | 67% |
Table: % of top-quartile funds that fell to lower quartiles in the subsequent 3-year period. Source: DSP Asset Managers, MFI Explorer. Data as of December 31, 2025. Each column shows a different 3-year “top” window and the 3-year “subsequent” window.
Why Does a Top Fund Stop Performing?
A mutual fund’s strong past returns are driven by a combination of factors: the manager’s skill, the market cycle favouring that particular style (growth, value, small-cap, sector), and some portion of luck. When the cycle changes, as it always does, the same strategy stops delivering the same results. This is not a flaw. It is how markets work.
Reason 1: Change in Market Cycle
A small-cap fund that shines when small-cap stocks are rising will look average when large-caps are outperforming. This is not the fund manager doing something wrong. The strategy is working exactly as designed; it is no longer the strategy the market is rewarding right now.
Think of it like cricket. A batsman who plays exceptionally well on flat pitches in India will struggle when the team tours England in swinging, overcast conditions: same skill, different environment.
Reason 2: Too much money kills the edge
When a small-cap or mid-cap fund tops the charts, money pours in quickly, and AUM can surge from ₹500 crore to ₹8,000 crore within a year. At that scale, the fund manager can no longer rely on the same high-quality, nimble small caps; they simply aren’t liquid enough. To deploy the excess capital, the portfolio starts expanding into lower-quality names, including companies with weak ROE, poor ROCE, and inconsistent revenue growth. Over time, the fund holds a large number of such stocks just to manage the size, which dilutes the original strategy and weakens return potential.
Reason 3: Investors chase, then abandon
The data shows a clear pattern: fund inflows rise sharply after strong returns, not before. Between September 2024 and early 2025, cumulative FII and DII inflows into Indian equities crossed ₹4.9 lakh crore yet market returns stayed largely flat. The maxim the data proves: flows follow returns. They don’t cause returns. By the time most retail investors read about a “top fund,” the window of alpha has often already closed.
The Real Life Example
Meet Priya. She’s a 32-year-old marketing professional in Pune, earning ₹1.2 lakh per month. She’s smart with money but doesn’t have time for deep research. In January 2020, she started a ₹10,000 monthly SIP in a mid-cap fund because it topped the 3-year returns chart on a popular investment app.
By late 2022, that fund had slipped to the third quartile. Priya’s app shows her a new “top” fund. She redeems her existing investment and switches. The redemption triggers Short-Term Capital Gains tax at 20% (since she held for under a year). She does the same thing in mid-2024.
What Priya paid for switching: Capital gains tax on each redemption. Exit loads (some funds charge up to 1% within the first year). The opportunity cost of being out of the market during the redemption-reinvestment cycle. And psychologically, she ended up buying “high” (the new top fund, already expensive) and selling “low” (the fund she exited, already at a discount).
An investor who started the same ₹10,000 SIP in a consistent, above-average diversified fund and never switched would have paid zero exit loads and zero short-term tax, and in most rolling 7-year periods, would have come out ahead after all costs. Consistency wins. Not cleverness.
SIP timing analysis of the Nifty 500 Index confirms this. The median 7-year SIP return was 13% when started at an all-time market high, 14% when started after a 20% rally, and 12% after a 20% fall, a difference of just about 2 percentage points. When you start your SIP, it matters far less than whether you keep running it.
(Source: NSE, data as of November 30, 2025.)
What You Should Do Next
1. Switch from point-to-point returns to rolling returns. When evaluating any fund, ask: how did this fund rank across multiple 5-year periods, not just the most recent one? A fund that consistently sits in the top half across varied market conditions, including bear markets, is worth far more attention than a fund that hit rank #1 once. Free rolling return data is available on AMFI’s website and MFI Explorer.
2. Fix your asset allocation before you fix your fund selection. Decide what percentage of your money goes into equity, debt, and gold first based on your age, income stability, and how long you can stay invested. This single decision will drive 80–90% of your portfolio’s behaviour. A well-allocated portfolio of average funds will almost always beat a poorly-allocated portfolio of “top” funds.
3. Set a 12-month review rule, not a 12-week panic rule. Check your funds once a year. Exit a fund only if it has underperformed its category average for 3 consecutive years, or if your own financial goals have changed materially. Short-term underperformance is noise. Three years of persistent underperformance relative to peers, not just the market, is a signal. SIPs should continue uninterrupted through market corrections; history shows it barely changes your eventual outcome.
Final Thoughts:
You now know that picking mutual funds by past returns is a coin flip and an expensive one. What you need is a structured approach: the right funds for your goals, a portfolio built around your risk profile, and an advisor who reviews it with you annually, not just sells you something and disappears.
Working with a SEBI-registered mutual fund advisory means your portfolio is built for consistency across market cycles, not just the one that’s currently on the leaderboard. We build portfolios designed to remain consistent through market cycles, a consistency that data shows actually builds wealth.