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Quantum ELSS Tax Saver Fund - Direct Plan Growth Option is an equity scheme managed by Quantum Mutual Fund. Over rolling three-year windows since inception, investors earned a median compounded return of 18.66%, with the bottom and top quartiles at 17.54% and 20.20% respectively. It has ranked in the top half of its category for 0 of the last 2 reported years. The total expense ratio is 0.89% on assets of ₹209Cr. The fund is currently managed by Mr. George Thomas, appointed within the last year.
Lower is better.
This scheme classifies as Large-Value on the 3x3 equity style box, with 91% of its portfolio classified as of 2026-05-29.
| 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 |
|---|
| HDFC BANK LIMITED | Financial Services | 7.37% |
| ICICI BANK LIMITED | Financial Services | 6.64% |
| TATA CONSULTANCY SERVICES LIMITED | Technology | 5.03% |
| INFOSYS LIMITED | Technology | 4.46% |
| CROMPTON GREAVES CONSUMER ELECTRICALS LIMITED | Consumer Cyclical | 3.67% |
| ADITYA BIRLA SUN LIFE AMC LIMITED | Financial Services | 3.60% |
| AXIS BANK LIMITED | Financial Services | 3.38% |
| CONTAINER CORPORATION OF INDIA LTD. | Industrials | 3.31% |
| STAR HEALTH AND ALLIED INSURANCE COMPANY LTD. | Financial Services | 3.16% |
| BHARTI AIRTEL LIMITED | Communication Services | 3.12% |
| EXIDE INDUSTRIES LIMITED | Consumer Cyclical | 3.10% |
| HERO MOTOCORP LIMITED | Consumer Cyclical | 3.05% |
| WIPRO LIMITED | Technology | 2.99% |
| STATE BANK OF INDIA | Financial Services | 2.99% |
| TECH MAHINDRA LIMITED | Technology | 2.92% |
| CIPLA LIMITED | Healthcare | 2.74% |
| NUVOCO VISTAS CORPORATION LIMITED | Basic Materials | 2.67% |
| LIC HOUSING FINANCE LIMITED | Financial Services | 2.66% |
| GAIL (INDIA) LIMITED | Utilities | 2.53% |
| GODREJ PROPERTIES LIMITED | Real Estate | 2.28% |
| CMS INFO SYSTEMS LIMITED | Industrials | 2.27% |
| INDUSIND BANK LIMITED | Financial Services | 2.12% |
| BAJAJ AUTO LIMITED | Consumer Cyclical | 1.53% |
| MAHINDRA AND MAHINDRA LIMITED | Consumer Cyclical | 1.40% |
| HDFC LIFE INSURANCE COMPANY LIMITED | Financial Services | 1.22% |
| Sector | Holdings | Weight |
|---|---|---|
| Financial Services | 9 | 21.28% |
| Information Technology | — | 7.70% |
| Automobile and Auto Components | — | 4.54% |
| Services | — | 2.79% |
| Healthcare | 1 | 2.57% |
| Oil, Gas & Consumable Fuels | — | 2.15% |
| Consumer Durables | — | 1.83% |
| Telecommunication | — | 1.56% |
| Construction Materials | — | 1.33% |
| Realty | — | 1.14% |
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.
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 |
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| Max |
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| Positive % |
|---|
| 1Y | -6.79% | 4.25% | 13.45% | 34.14% | 69.19% | 90.3% |
| 3Y | 13.65% | 17.54% | 18.66% | 20.20% | 26.10% | 100.0% |
| 5Y | 11.28% | 13.73% | 18.15% | 21.61% | 24.85% | 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 43.7% 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 = 3 data points.
| 5Y |
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| Star |
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