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Sundaram Large Cap Fund (Formerly Known as Sundaram Blue Chip Fund)Direct Plan - Growth is an equity scheme managed by Sundaram Mutual Fund. Over rolling three-year windows since inception, investors earned a median compounded return of 14.60%, with the bottom and top quartiles at 12.95% and 17.51% respectively. It has ranked in the top half of its category for 0 of the last 2 reported years. The total expense ratio is 0.71% on assets of ₹3,063Cr. The fund is currently managed by Ashwin Jain, appointed within the last year.
Lower is better.
This scheme classifies as Large-Value on the 3x3 equity style box, with 96% 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 | 8.01% |
| ICICI BANK LIMITED | Financial Services | 6.92% |
| AXIS BANK LIMITED | Financial Services | 6.19% |
| BHARTI AIRTEL LIMITED | Communication Services | 6.02% |
| STATE BANK OF INDIA | Financial Services | 5.64% |
| RELIANCE INDUSTRIES LIMITED | Energy | 4.72% |
| INFOSYS LIMITED | Technology | 3.96% |
| AVENUE SUPERMARTS LIMITED | Consumer Defensive | 3.88% |
| LARSEN AND TOUBRO LIMITED | Industrials | 3.64% |
| TVS MOTOR COMPANY LIMITED | Consumer Cyclical | 3.18% |
| TECH MAHINDRA LIMITED | Technology | 2.87% |
| CRAFTSMAN AUTOMATION LIMITED | Consumer Cyclical | 2.74% |
| MAHINDRA AND MAHINDRA LIMITED | Consumer Cyclical | 2.74% |
| NTPC LIMITED | Utilities | 2.56% |
| MARICO LIMITED | Consumer Defensive | 2.39% |
| ULTRATECH CEMENT LIMITED | Basic Materials | 2.35% |
| MANKIND PHARMA LIMITED | Healthcare | 2.32% |
| INTERGLOBE AVIATION LIMITED | Industrials | 2.03% |
| PI INDUSTRIES LIMITED | Basic Materials | 2.02% |
| SBI LIFE INSURANCE COMPANY LIMITED | Financial Services | 1.98% |
| TRENT LIMITED | Consumer Cyclical | 1.96% |
| JUBILANT FOODWORKS LIMITED | Consumer Cyclical | 1.64% |
| THE INDIAN HOTELS COMPANY LIMITED | Consumer Cyclical | 1.51% |
| Swiggy Pvt Ltd | Consumer Cyclical | 1.41% |
| SUN PHARMACEUTICAL INDUSTRIES LTD. | Healthcare | 1.39% |
| Sector | Holdings | Weight |
|---|---|---|
| Financial Services | 6 | 33.88% |
| Automobile and Auto Components | — | 11.56% |
| Consumer Services | — | 11.15% |
| Information Technology | — | 7.95% |
| Telecommunication | — | 6.02% |
| Oil, Gas & Consumable Fuels | — | 5.22% |
| Healthcare | 2 | 3.71% |
| Construction | — | 3.64% |
| Fast Moving Consumer Goods | — | 3.59% |
| Power | — | 2.56% |
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 | -6.83% | 3.92% | 10.17% | 23.76% | 58.98% | 89.8% |
| 3Y | 9.79% | 12.95% | 14.60% | 17.51% | 21.65% | 100.0% |
| 5Y | 10.20% | 11.86% | 13.22% | 15.79% | 18.65% | 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 52.2% means concentration is in line with most actively-managed Indian equity funds. 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.