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HSBC Large & Mid Cap Fund - Direct Growth is an equity scheme managed by HSBC Mutual Fund. Over rolling three-year windows since inception, investors earned a median compounded return of 21.91%, with the bottom and top quartiles at 20.50% and 23.53% respectively. It has ranked in the top half of its category for 2 of the last 2 reported years. The total expense ratio is 1.99% on assets of ₹4,877Cr. The fund is currently managed by Cheenu Gupta, appointed within the last year.
Lower is better.
This scheme classifies as Large-Growth on the 3x3 equity style box, with 90% 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 |
|---|
| ICICI BANK LIMITED | Financial Services | 5.93% |
| FSN E-COMMERCE VENTURES LIMITED | Consumer Cyclical | 4.05% |
| BHARAT ELECTRONICS LIMITED | Industrials | 4.03% |
| BSE LIMITED | Financial Services | 3.47% |
| HINDALCO INDUSTRIES LIMITED | Basic Materials | 3.42% |
| OIL AND NATURAL GAS CORPORATION LIMITED | Energy | 3.25% |
| HITACHI ENERGY INDIA LIMITED | Industrials | 3.16% |
| THE FEDERAL BANK LIMITED | Financial Services | 3.08% |
| LENSKART SOLUTIONS PRIVATE LIMITED | Healthcare | 2.70% |
| INDIAN BANK | Financial Services | 2.51% |
| PB FINTECH LIMITED | Financial Services | 2.49% |
| TD POWER SYSTEMS LIMITED | Industrials | 2.33% |
| ATHER ENERGY PRIVATE LIMITED | Consumer Cyclical | 2.11% |
| LUPIN LIMITED | Healthcare | 1.99% |
| POLYCAB INDIA LIMITED | Industrials | 1.98% |
| TATA CONSUMER PRODUCTS LIMITED | Consumer Defensive | 1.91% |
| ABB INDIA LIMITED | Industrials | 1.88% |
| Shriram Finance Limited | Financial Services | 1.87% |
| CITY UNION BANK LIMITED | Financial Services | 1.84% |
| BHARAT HEAVY ELECTRICALS LIMITED | Industrials | 1.68% |
| JSW STEEL LIMITED | Basic Materials | 1.65% |
| NIPPON LIFE INDIA ASSET MANAGEMENT LIMITED | Financial Services | 1.52% |
| THYROCARE TECHNOLOGIES LIMITED | Healthcare | 1.43% |
| TATA STEEL LIMITED | Basic Materials | 1.26% |
| TVS MOTOR COMPANY LIMITED | Consumer Cyclical | 1.17% |
| Sector | Holdings | Weight |
|---|---|---|
| Financial Services | 14 | 34.66% |
| Capital Goods | — | 27.37% |
| Metals & Mining | — | 7.14% |
| Consumer Services | — | 6.76% |
| Automobile and Auto Components | — | 5.15% |
| Healthcare | 8 | 5.09% |
| Oil, Gas & Consumable Fuels | — | 4.56% |
| Fast Moving Consumer Goods | — | 3.97% |
| Power | — | 3.02% |
| Telecommunication | — | 0.42% |
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 | -7.82% | 3.36% | 18.47% | 41.83% | 74.79% | 84.8% |
| 3Y | 12.49% | 20.50% | 21.91% | 23.53% | 28.13% | 100.0% |
| 5Y | 14.84% | 17.67% | 20.70% | 24.07% | 26.79% | 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 35.6% 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 = 2 data points.