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Nippon India Banking & Financial Services Fund-Growth Plan-Growth Option is an equity scheme managed by Nippon India Mutual Fund. Over rolling three-year windows since inception, investors earned a median compounded return of 18.74%, with the bottom and top quartiles at 17.14% and 23.54% respectively. It has ranked in the top half of its category for 7 of the last 12 reported years. The total expense ratio is 1.97% on assets of ₹7,470Cr. The fund is currently managed by Bhavik Dave, appointed within the last year.
Lower is better.
This scheme classifies as Large-Value on the 3x3 equity style box, with 86% 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 |
|---|
| HDFC Bank Limited | Financial Services | 13.04% |
| ICICI Bank Limited | Financial Services | 12.75% |
| Axis Bank Limited | Financial Services | 9.18% |
| State Bank of India | Financial Services | 5.96% |
| Kotak Mahindra Bank Limited | Financial Services | 3.53% |
| SBI Cards and Payment Services Limited | Financial Services | 3.36% |
| SBI Life Insurance Company Limited | Financial Services | 3.29% |
| Bajaj Finserv Limited | Financial Services | 2.98% |
| Multi Commodity Exchange of India Limited | Financial Services | 2.75% |
| Cholamandalam Financial Holdings Limited | Financial Services | 2.67% |
| IndusInd Bank Limited | Financial Services | 2.65% |
| Max Financial Services Limited | Financial Services | 2.37% |
| ICICI Prudential Asset Management Company Limited | Financial Services | 2.35% |
| Equitas Small Finance Bank Limited | Financial Services | 1.93% |
| L&T Finance Limited | Financial Services | 1.78% |
| AU Small Finance Bank Limited | Financial Services | 1.72% |
| Star Health And Allied Insurance Company Limited | Financial Services | 1.72% |
| Bajaj Finance Limited | Financial Services | 1.69% |
| Aye Finance Limited | Financial Services | 1.64% |
| Angel One Limited | Financial Services | 1.62% |
| PNB Housing Finance Limited | Financial Services | 1.62% |
| HDFC Asset Management Company Limited | Financial Services | 1.59% |
| UTI Asset Management Company Limited | Financial Services | 1.45% |
| KFin Technologies Limited | Technology | 1.43% |
| Power Finance Corporation Limited | Financial Services | 1.41% |
| Sector | Holdings | Weight |
|---|---|---|
| Banks | 9 | 51.68% |
| Finance | 14 | 22.11% |
| Insurance | 6 | 11.27% |
| Capital Markets | 6 | 11.19% |
| Financial Technology (Fintech) | 2 | 1.34% |
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 | -5.73% | 10.10% | 18.83% | 27.35% | 93.32% | 96.9% |
| 3Y | 12.52% | 17.14% | 18.74% | 23.54% | 36.19% | 100.0% |
| 5Y | 12.94% | 16.65% | 21.53% | 25.88% | 29.96% | 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 59.5% 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.
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.
| 5Y |
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| Star |
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