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ICICI Prudential Smallcap Fund - Direct Plan - Growth is an equity scheme managed by ICICI Prudential Mutual Fund. Over rolling three-year windows since inception, investors earned a median compounded return of 22.18%, with the bottom and top quartiles at 18.20% and 31.06% respectively. It has ranked in the top half of its category for 0 of the last 2 reported years. The total expense ratio is 0.82% on assets of ₹8,741Cr. The fund is currently managed by Gaurav Jain, appointed within the last year.
Lower is better.
This scheme classifies as Mid-Blend on the 3x3 equity style box, with 70% of its portfolio classified as of 2026-05-29.
| Holding | Sector |
|---|
| Window | Min | P25 | Median |
|---|
Point-in-time CAGRs cherry-pick a single start date. The chart below shows the distribution of every possible rolling start over the fund's history, so you see the range of investor outcomes — not just one date's number.
Backtested SIP outcomes across both rolling-window scenarios and named historical stress events (COVID, Election uncertainty, Russia/Ukraine, etc.), plus per-manager alpha during their tenure on this scheme.
Same fund, monthly SIPs over rolling 1/3/5-year windows.
Mutual fund investments are subject to market risks. Read all scheme-related documents carefully. Past performance is not indicative of future results. MintByte is an AMFI-registered Mutual Fund Distributor (ARN-314872) and APMI member (APRN-01658). MintByte does not issue buy/sell recommendations on specific securities — the site is an educational data and analytics platform. Star ratings on this page reflect a 3-year category-quartile position computed in-house and are educational only.
Mutual fund schemes are subject to market risk. Read all scheme-related documents carefully before investing. Past performance is not indicative of future results. MintByte is an AMFI-registered mutual fund distributor (ARN-314872). MintByte does not issue buy/sell recommendations on specific securities — the site is an educational data and analytics platform. Not investment advice. Methodology · How we earn.
In-house derivations using 3-year daily NAV vs benchmark. See methodology.
| Weight |
|---|
| HDFC BANK LIMITED | Financial Services | 3.71% |
| ATUL LIMITED | Basic Materials | 2.73% |
| MAHINDRA AND MAHINDRA LIMITED | Consumer Cyclical | 2.22% |
| TIMKEN INDIA LIMITED | Industrials | 2.18% |
| GUJARAT PIPAVAV PORT LIMITED | Industrials | 2.10% |
| TATA CHEMICALS LIMITED | Basic Materials | 2.04% |
| SUNDARAM CLAYTON LIMITED | Industrials | 2.02% |
| PFIZER LIMITED | Healthcare | 1.97% |
| EIH LIMITED | Consumer Cyclical | 1.81% |
| CARBORUNDUM UNIVERSAL LIMITED | Industrials | 1.58% |
| LIC HOUSING FINANCE LIMITED | Financial Services | 1.43% |
| SUPREME PETROCHEM LIMITED | Basic Materials | 1.39% |
| TRIVENI TURBINE LIMITED | Industrials | 1.38% |
| GRINDWELL NORTON LIMITED | Industrials | 1.30% |
| NETWEB TECHNOLOGIES INDIA LIMITED | Technology | 1.22% |
| PROCTER & GAMBLE HEALTH LIMITED | Healthcare | 1.21% |
| PAGE INDUSTRIES LIMITED | Consumer Cyclical | 1.19% |
| ZF COMMERCIAL VEHICLE CONTROL SYSTEMS INDIA LIMITED | Consumer Cyclical | 1.19% |
| GILLETTE INDIA LIMITED | Consumer Defensive | 1.18% |
| AAVAS FINANCIERS LIMITED | Financial Services | 1.10% |
| SKF INDIA LIMITED | Industrials | 1.08% |
| JK LAKSHMI CEMENT LIMITED | Basic Materials | 1.03% |
| GUJARAT STATE FERTILIZERS & CHEMICALS LIMITED | Basic Materials | 1.03% |
| SANOFI CONSUMER HEALTHCARE INDIA LIMITED | Healthcare | 0.99% |
| MINDA CORPORATION LIMITED | Consumer Cyclical | 0.97% |
| Sector | Holdings | Weight |
|---|---|---|
| Capital Goods | — | 15.41% |
| Financial Services | 13 | 14.78% |
| Chemicals | — | 11.52% |
| Automobile and Auto Components | — | 10.67% |
| Healthcare | 12 | 7.75% |
| Services | — | 4.25% |
| Construction Materials | — | 3.92% |
| Consumer Services | — | 3.76% |
| Oil, Gas & Consumable Fuels | — | 2.90% |
| Fast Moving Consumer Goods | — | 2.60% |
Active bets vs the average Equity fund. Biggest deviations shown first.
Accent bar = fund's actual sector weight. Vertical black tick = category average for the same sector. Green overlay = overweight, dashed red = underweight. The biggest active bets show first.
| P75 |
|---|
| Max |
|---|
| Positive % |
|---|
| 1Y | -5.54% | 5.23% | 22.09% | 41.60% | 121.25% | 91.2% |
| 3Y | 13.46% | 18.20% | 22.18% | 31.06% | 47.56% | 100.0% |
| 5Y | 16.28% | 19.97% | 25.33% | 30.21% | 36.86% | 100.0% |
Each cell is one year. Q1 = top quartile within the AMFI category for that period. Cell label is the last two digits of the year.
Top-10 weight 22.4% means the portfolio is broad — even the top names don't dominate. Effective-N is the inverse Herfindahl index — a measure of "how many positions effectively drive the fund" after weighting. Category: Equity.
Compounding maths on a notional ₹10 lakh lumpsum at 12% gross annual return. Green bar is what you'd have without the fee; red overlay is the fee drag. Fee is constant in this scenario — actual outcomes depend on real returns and any future TER changes.
What an investor SIPping into this fund actually got during named market shocks.
Each row is a back-tested SIP — monthly contribution over the regime's duration, no fees adjustment beyond NAV-baked TER. XIRR is the annualised IRR of those cashflows; Abs return is the absolute cash-on-cash; Max DD is the deepest drawdown experienced mid-investment. Past performance is not indicative of future results.
Alpha is the annualised excess return vs benchmark over the manager's tenure on this scheme. Beat-benchmark = total return beat the index over the same window.
Does the fund get worse as it gets bigger? Each dot is one historical manager-tenure: AUM at tenure-end vs alpha delivered during that tenure.
Correlation is too weak to confirm or rule out capacity-driven alpha decay. Re-evaluate as more manager-tenure data accumulates.
Each dot is one manager-tenure: X = AUM at tenure end, Y = alpha during that tenure. Connecting line in chronological order. Pearson r measures the linear relationship between AUM and alpha across the historical record. n = 4 data points.