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Kotak Equity Savings Fund - Regular - Growth is a hybrid scheme managed by Kotak Mahindra Mutual Fund. Over rolling three-year windows since inception, investors earned a median compounded return of 11.43%, with the bottom and top quartiles at 10.92% and 11.98% respectively. It has ranked in the top half of its category for 9 of the last 11 reported years. Risk-adjusted return (Sharpe ratio) is 0.00. The total expense ratio is 1.71% on assets of ₹10,032Cr. The fund is currently managed by Mr. Hiten Shah, appointed within the last year.
Lower is better.
This scheme classifies as Large-Blend on the 3x3 equity style box, with 80% of its portfolio classified as of 2026-04-30.
| Holding | Sector |
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| Window | Min | P25 | Median |
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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.
| Scheme | AMC | AUM | TER | 3Y |
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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 |
|---|
| Tata Motors Limited | Consumer Cyclical | 1.21% |
| Emmvee Photovoltaic Power Limited | Technology | 1.20% |
| MUTHOOT FINANCE LTD. | Financial Services | 1.00% |
| PUNJAB NATIONAL BANK | Financial Services | 0.94% |
| Sapphire Foods India Limited | Consumer Cyclical | 0.60% |
| Swiggy Pvt Ltd | Consumer Cyclical | 0.55% |
| UNION BANK OF INDIA | Financial Services | 0.50% |
| AU SMALL FINANCE BANK LTD. | Financial Services | 0.47% |
| MANKIND PHARMA LTD | Healthcare | 0.25% |
| Jyoti CNC Automation Ltd | Industrials | 0.22% |
| Mahindra & Mahindra Financial Services Ltd. | Financial Services | 0.05% |
| Power Grid Corporation of India Ltd. | Utilities | 0.03% |
| TATA CAPITAL LTD. | Financial Services | 0.02% |
| HDB FINANCIAL SERVICES LTD. | Financial Services | 0.01% |
| INDIAN RAILWAY FINANCE CORPORATION LTD. | Financial Services | 0.01% |
| SUNDARAM FINANCE LTD. | Financial Services | 0.01% |
| LIC HOUSING FINANCE LTD. | Financial Services | 0.01% |
| Sector | Holdings | Weight |
|---|---|---|
| Beverages | 2 | 1.84% |
| Finance | 8 | 1.67% |
| Electrical Equipment | 1 | 1.53% |
| Retailing | 1 | 1.46% |
| Agricultural Commercial & Construction Vehicles | 1 | 1.21% |
| Diversified FMCG | 2 | 0.93% |
| Automobiles | 3 | 0.86% |
| Oil | 1 | 0.73% |
| Leisure Services | 1 | 0.55% |
| Realty | 2 | 0.36% |
| Entertainment | 1 | 0.30% |
| Industrial Manufacturing | 1 | 0.22% |
| IT - Software | 4 | 0.17% |
| Power | 4 | 0.16% |
| Transport Services | 1 | -0.02% |
| Metals & Minerals Trading | 1 | -0.08% |
| Consumer Durables | 2 | -0.16% |
| Healthcare Services | 1 | -0.18% |
| Insurance | 2 | -0.20% |
| Minerals & Mining | 1 | -0.27% |
| Non - Ferrous Metals | 1 | -0.35% |
| Ferrous Metals | 2 | -0.73% |
| Aerospace & Defense | 2 | -0.91% |
| Petroleum Products | 1 | -0.93% |
| Cement & Cement Products | 4 | -1.00% |
| Pharmaceuticals & Biotechnology | 6 | -1.12% |
| Construction | 2 | -1.23% |
| Transport Infrastructure | 4 | -1.52% |
| Financial Technology (Fintech) | 1 | -2.17% |
| Banks | 1 | -5.64% |
| Telecom - Services | 3 | -5.74% |
Active bets vs the average Hybrid 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.
How crowded into the same stocks is this fund vs the largest fund in its category?
Category leader = highest-AUM scheme in the same SEBI category. A high overlap-of-weight number means the fund is concentrated into the same names as the leader (crowded); a low one means it's genuinely differentiated.
| P75 |
|---|
| Max |
|---|
| Positive % |
|---|
| 1Y | 2.54% | 6.42% | 9.98% | 15.64% | 21.53% | 100.0% |
| 3Y | 9.52% | 10.92% | 11.43% | 11.98% | 13.06% | 100.0% |
| 5Y | 9.01% | 9.99% | 10.97% | 11.56% | 12.45% | 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 6.9% 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: Hybrid.
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.
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 = 3 data points.
| 5Y |
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| Star |
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