Market Intelligence › Market history › Nifty Healthcare

Nifty Healthcare Historical Returns

The Nifty Healthcare index tracks pharmaceutical companies, hospitals and diagnostics.

Index level (NSE close, 23 Oct)
15,387.00
Day change
−0.83%
P/E · P/B · dividend yield
40.1 · 5.08 · 0.53%
Latest data
23 Oct 2026
1-year return
+2.7%
5-year CAGR
+12.3% a year
10-year CAGR
n/a
Largest fall from peak
−21% (Sep 2021–Jun 2022)
Below previous peak now
−9.2%

Price history

7,50010,00012,50015,00017,50020182020202220242026Dec 2020: 7,581Dec 2021: 8,969Dec 2022: 8,001Dec 2023: 10,638Dec 2024: 14,952Dec 2025: 14,640Oct 2026: 15,387

Month-end values. Hover a year-end point for its value.

Below previous peak (how far it was under its earlier high at each month-end)
0%−10%−20%

Open the interactive chart →

About Nifty Healthcare

The Nifty Healthcare index tracks pharmaceutical companies, hospitals and diagnostics.

What it means for investors. Broader than the Pharma index: it includes healthcare services, which depend more on domestic demand.

Returns over time

Series1Y3Y5Y10Y15Y20YMax fallData to
Nifty Healthcare2.7%17.8%12.3%n/an/an/a−21%23 Oct 2026

Annualised (CAGR) for periods of a year or more, ending on each series' latest date. “n/a” means the series does not go back that far. Max fall: the largest fall from a previous peak over the whole history.

NSE Indices daily index closing values (NSE archives, ind_close_all file). Data 7 Jul 2016 to 23 Oct 2026. Latest level: NSE daily index closing values. Returns use the fund NAV history, which includes dividends.

Mutual funds linked to Nifty Healthcare

MFIC groups that invest in this market, with medians for each group (medians across open-ended schemes, regular plans (etfs for etf categories), growth option, from amfi navs; NAVs as of 23 Oct 2026).

Fund groupLinkSchemes1Y median3Y CAGR median5Y CAGR medianAhead of benchmark TRI, 3Y
Equity ETF: Sector: Healthcare & pharma (ETFs)Track this market8+3.0%+18.4%+12.9%–
Index Fund: Sector: Healthcare & pharmaTrack this market5+6.5%+18.6%n/a–
Sectoral/Thematic: Healthcare & pharmaMain market of active funds19+6.8%+18.3%+13.5%2 of 11

Groups follow AMFI categories; theme groups are MFIC's own grouping from scheme names. "Ahead of benchmark TRI" compares each scheme's 3-year return with its own benchmark's total return index as published by AMFI; it is not shown for index funds and ETFs, which aim to match their index. Listed by how closely the group follows this market, not ranked. Open a group for every scheme in it.

Research any scheme in MFIC →

Calendar-year returns

YearReturn
2026 to 23 Oct5.1%
2025−2.1%
202440.6%
202332.9%
2022−10.8%
202118.3%
2020n/a
2016 part year0.0%

Over 5 complete calendar years since 2017, Nifty Healthcare rose in 3. Best: 2024 (+40.6%). Worst: 2022 (−10.8%).

Year-end to year-end, from NSE Indices daily index closing values (NSE archives, ind_close_all file).

Falls from peak and recovery

PeakBottomFallMonths downBack to peakMonths to recoverEvents in the fall
Jan 2025Feb 2025−15.9%2Feb 202612—
Aug 2023Nov 2023−20.7%3Nov 2023<1—
Sep 2021Jun 2022−20.8%9Jul 202313Russia–Ukraine war begins; RBI off-cycle rate hike
Jan 2021Mar 2021−11.2%2Apr 20211Union Budget 2021

Each fall of 10% or more from a previous high, measured on daily data. The 4 deepest are shown. “Back to peak” is the first date it regained the previous high.

Explore every fall in the Market Analyzer →

Rolling returns: the range of outcomes

Holding periodPeriodsMedianWorstBestMiddle halfPositive
1 year5913.6%−14.6%59.4%−0.2% to 21.8%75%
3 years3518.8%11.9%25.6%17.0% to 21.5%100%
5 years1113.4%12.4%16.3%13.0% to 14.1%100%

Every holding period starting at a month-end in the history (overlapping). Annualised for periods over a year.

See rolling returns over time →

How it has moved with other assets

Compared withCorrelationMonths
Nifty 500.5970
Gold (domestic, ₹)−0.1470
10-year G-Sec (bond fund)0.4270
USD/INR−0.3670
Nifty Bank0.3270
Nifty PSU Bank0.2270

Correlation of monthly returns over the months both series have: +1 moves together, 0 unrelated, −1 opposite. Relationships change over time.

Correlation matrix and rolling correlation →

Nifty Healthcare and the Nifty 50, year by year

YearNifty HealthcareNifty 50
2026 to 23 Oct5.1%−12.9%
2025−2.1%11.6%
202440.6%9.6%
202332.9%20.9%
2022−10.8%5.3%
202118.3%25.2%
2020n/a15.5%
2016 part year0.0%4.0%

Fund NAVs (AMFI), after fund costs.

Explore it yourself
Chart any combination, pick any period, and see rolling returns, drawdowns, events, regimes and correlations.

Questions

What has Nifty Healthcare returned over the long run?
Calculated from NSE Indices daily index closing values (NSE archives, ind_close_all file), Nifty Healthcare returned 12.3% a year over the 5 years to 23 Oct 2026, and 17.8% a year over 3 years. Past returns do not indicate future returns.
What was the biggest fall in Nifty Healthcare?
In the data available from Jul 2016, the largest fall from a previous peak was −20.8%, from Sep 2021 to Jun 2022, and it regained the peak in Jul 2023 (13 months after the bottom). There were 4 falls of 10% or more, 2 of them 20% or more.
How often has Nifty Healthcare been positive over one year?
Across 59 one-year periods starting at month-ends, 75% were positive; the range was −14.6% to 59.4%. Over five-year periods (11), 100% were positive, with annualised returns from 12.4% to 16.3%.
Data & disclosure. Figures are calculated by Integrato from AMFI NAVs, FRED (Federal Reserve Bank of St. Louis) and World Bank data; data checked 24 Oct 2026. Index-fund and ETF NAVs stand in for index levels and differ from them by fund costs and tracking difference. Source institutions may revise data. Historical performance is not indicative of future returns, and historical relationships may not persist. This page is for information and education; it is not a recommendation to buy or sell anything. Integrato Financial Services Pvt. Ltd. is an AMFI-registered Mutual Fund Distributor (ARN-173155). Mutual fund investments are subject to market risks; read all scheme-related documents carefully. Sources and methodology →
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