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Franklin India Large & Mid Cap Fund - Direct - Growth is an equity scheme managed by Franklin Templeton Mutual Fund. Over rolling three-year windows since inception, investors earned a median compounded return of 17.67%, with the bottom and top quartiles at 15.91% and 19.59% respectively. It has ranked in the top half of its category for 0 of the last 2 reported years. The total expense ratio is 2.15% on assets of ₹3,399Cr. The fund is currently managed by Sandeep Manam, appointed within the last year.
Lower is better.
This scheme classifies as Large-Value on the 3x3 equity style box, with 85% 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 | 2.95% |
| ICICI BANK LIMITED | Financial Services | 2.90% |
| JB Chemicals & Pharmaceuticals Limited | Healthcare | 2.80% |
| MAHINDRA AND MAHINDRA LIMITED | Consumer Cyclical | 2.75% |
| AXIS BANK LIMITED | Financial Services | 2.48% |
| STATE BANK OF INDIA | Financial Services | 2.46% |
| PB FINTECH LIMITED | Financial Services | 2.40% |
| AU SMALL FINANCE BANK LIMITED | Financial Services | 2.32% |
| VISHAL MEGA MART PRIVATE LIMITED | Consumer Cyclical | 2.19% |
| MARICO LIMITED | Consumer Defensive | 2.11% |
| Persistent Systems Ltd | Technology | 2.02% |
| COLGATE-PALMOLIVE (INDIA) LIMITED | Consumer Defensive | 2.01% |
| CROMPTON GREAVES CONSUMER ELECTRICALS LIMITED | Consumer Cyclical | 1.99% |
| CANARA HSBC LIFE INSURANCE COMPANY LIMITED | Financial Services | 1.97% |
| APOLLO HOSPITALS ENTERPRISE LIMITED | Healthcare | 1.96% |
| MAX FINANCIAL SERVICES LIMITED | Financial Services | 1.94% |
| Swiggy Pvt Ltd | Consumer Cyclical | 1.90% |
| GODREJ AGROVET LIMITED | Consumer Defensive | 1.88% |
| LARSEN AND TOUBRO LIMITED | Industrials | 1.87% |
| INFOSYS LIMITED | Technology | 1.85% |
| BRIGADE ENTERPRISES LIMITED | Real Estate | 1.84% |
| HINDALCO INDUSTRIES LIMITED | Basic Materials | 1.75% |
| HDB FINANCIAL SERVICES LIMITED | Financial Services | 1.75% |
| MAX HEALTHCARE INSTITUTE LIMITED | Healthcare | 1.71% |
| UNITED BREWERIES LIMITED | Consumer Defensive | 1.62% |
| Sector | Holdings | Weight |
|---|---|---|
| Financial Services | 12 | 29.57% |
| Consumer Services | — | 9.68% |
| Healthcare | 6 | 8.29% |
| Information Technology | — | 8.23% |
| Fast Moving Consumer Goods | — | 7.62% |
| Consumer Durables | — | 5.41% |
| Automobile and Auto Components | — | 5.34% |
| Power | — | 4.62% |
| Realty | — | 3.99% |
| Capital Goods | — | 3.64% |
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 | -8.83% | 5.19% | 13.27% | 34.24% | 83.89% | 87.8% |
| 3Y | 10.43% | 15.91% | 17.67% | 19.59% | 28.75% | 100.0% |
| 5Y | 11.53% | 14.27% | 19.19% | 22.96% | 26.36% | 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 25.4% 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 = 3 data points.