Data to 14 October 2026
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Markets

Nifty Pharma

Nifty Pharma is an NSE sector index of 20 stocks. Since 2001 it has compounded 14.4% a year with dividends reinvested; over the past year it rose 17.5%. Its deepest fall was 52%, from Apr 2015 to Mar 2020, and it took 5.8 years from that high to a new one.

Written for anyone who holds, tracks or is thinking of buying Nifty Pharma. Data to 14 Oct 2026.

Trend
Uptrend
since Apr 2026
Momentum
14th of 133
markets, by rank
Below its high
5.3%
total return
P/E
39.8
96th percentile since 2021
1 year
+17.5%
total return
5 years
12.6%
a year
10 years
9.3%
a year
Since 2001
14.4%
a year
Volatility
13.9%
past year; usual 18%

NSE launched Nifty Pharma in Jul 2005. Figures before that use NSE's back-calculated history: today's rules applied to the past, chosen with that past in view. Charts mark the launch.

Returns

Total return counts dividends reinvested; price return does not. Since 2001, dividends added about 1.0 percentage points a year. Returns over more than a year are a year, compounded.

Nifty Pharma: growth of 100

Weekly, from Jan 2001, log scale: equal slopes are equal rates of growth. Drag the range below the chart to start anywhere; both lines restart at 100.

How to read it. The gap between the two lines is what dividends were worth. It widens slowly and never closes.

Total returnPrice return

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Source: NSE Indices (niftyindices.com): total-return and price indices, P/E, P/B and dividend yield, index constituents, factsheets, and the monthly Nifty 50 and Nifty Next 50 weightage files; the Tipsheet model board; the ETF desk (AMFI and NSE).
Method JSON

To 14 Oct 2026. Before any fund cost or tax.

To 14 Oct 2026. Before any fund cost or tax.
PeriodTotal returnPrice returnDividends addedMore
1 month−3.0%−3.0%0.0 pts
3 months−0.5%−0.7%+0.1 pts
6 months+16.9%+16.5%+0.4 pts
This year+13.9%+13.3%+0.7 pts
1 year+17.5%+16.8%+0.7 pts
3 years, a year+19.9%+19.1%+0.8 pts
5 years, a year+12.6%+11.8%+0.8 pts
10 years, a year+9.3%+8.5%+0.8 pts
15 years, a year+13.0%+12.3%+0.7 pts
20 years, a year+12.9%+12.0%+0.9 pts
Since Jan 2001, a year+14.4%+13.4%+1.0 pts

Year by year

16 of the 24 full calendar years since 2002 ended higher. 20 of them had a fall of 10% or more from a peak somewhere inside the year, so even good years are rarely smooth.

Nifty Pharma: each calendar year

Total return over the calendar year, % Largest fall from a peak within that year, %
−40%−20%+20%+40%+60%+80% +6 −20 ’02 +86 −11 ’03 +19 −20 ’04 +2 −20 ’05 +26 −31 ’06 +16 −15 ’07 −25 −39 ’08 +61 −17 ’09 +36 −10 ’10 −9 −17 ’11 +33 −5 ’12 +27 −11 ’13 +44 −10 ’14 +10 −18 ’15 −14 −17 ’16 −6 −21 ’17 −7 −20 ’18 −9 −24 ’19 +62 −23 ’20 +11 −14 ’21 −11 −17 ’22 +35 −9 ’23 +40 −9 ’24 −2 −16 ’25 +14 −8 ’26 YTD
Source: NSE Indices, total return with dividends.

The worst fall is the largest drop from a peak within the year, with the previous year-end as the first peak (the convention of J.P. Morgan's Guide to the Markets). Total return, %.

The worst fall is the largest drop from a peak within the year, with the previous year-end as the first peak (the convention of J.P. Morgan's Guide to the Markets). Total return, %.
YearTotal returnPrice returnDividendsWorst fall in the yearMore
2026 so far+13.9%+13.3%+0.7 pts−7.5%
2025−2.3%−2.9%+0.7 pts−15.7%
2024+40.0%+39.1%+0.9 pts−9.4%
2023+34.8%+33.6%+1.1 pts−8.9%
2022−10.7%−11.4%+0.7 pts−16.8%
2021+10.9%+10.1%+0.8 pts−13.9%
2020+61.8%+60.6%+1.1 pts−23.3%
2019−8.7%−9.3%+0.7 pts−23.9%
2018−7.3%−7.8%+0.5 pts−19.9%
2017−5.7%−6.3%+0.6 pts−20.6%
2016−13.8%−14.2%+0.4 pts−17.1%
2015+9.7%+9.3%+0.5 pts−18.2%
2014+44.4%+43.4%+1.0 pts−10.4%
2013+27.3%+26.5%+0.8 pts−10.9%
2012+32.9%+31.9%+1.1 pts−5.4%
2011−9.0%−10.0%+1.0 pts−16.9%
2010+36.3%+35.3%+1.0 pts−10.0%
2009+60.9%+59.1%+1.8 pts−17.3%
2008−24.9%−25.6%+0.7 pts−39.3%
2007+16.1%+14.6%+1.5 pts−15.3%
2006+26.5%+25.0%+1.5 pts−30.6%
2005+2.2%+0.9%+1.3 pts−19.6%
2004+18.6%+17.1%+1.5 pts−19.6%
2003+86.1%+83.3%+2.8 pts−11.3%
2002+6.4%+5.1%+1.3 pts−20.0%

The falls

Every fall of 10% or more from a high, deepest first. The worst, 52%, took 5.0 years to reach bottom and 10 months more to climb back. Today it is 5.3% below its high.

Nifty Pharma: how far below its previous high

Weekly, the week's lowest close against the highest close before it, total return, %.

How to read it. Zero is a new high. The depth of each dip is what a holder sat through; its width is how long getting back took.

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Source: NSE Indices (niftyindices.com): total-return and price indices, P/E, P/B and dividend yield, index constituents, factsheets, and the monthly Nifty 50 and Nifty Next 50 weightage files; the Tipsheet model board; the ETF desk (AMFI and NSE).
Method JSON

Total return, closing prices. A fall ends when the index closes at or above the high it fell from. Calendar time.

Total return, closing prices. A fall ends when the index closes at or above the high it fell from. Calendar time.
FallFrom the high ofTo the low ofFalling forRecovering forBack at the highHigh to high
−52.0%8 Apr 201523 Mar 20205.0 years10 months11 Jan 20215.8 years
−43.8%17 Jun 20089 Mar 20099 months8 months11 Nov 200917 months
−30.6%5 Apr 200614 Jun 20062 months17 months14 Nov 200719 months
−27.5%12 Feb 200116 Apr 20012 months9 months14 Jan 200211 months
−21.5%2 Jan 200824 Jan 200822 days3 months22 Apr 20084 months
−20.8%4 Oct 202113 Mar 202317 months4 months27 Jul 202322 months
−20.0%8 Apr 20027 Nov 20027 months7 months16 Jun 200314 months
−19.6%2 Jan 200423 Jun 20046 months3 months4 Oct 20049 months
−19.6%3 Jan 200518 Apr 20053 months4 months12 Aug 20057 months
−16.9%5 Jan 201124 Feb 201150 days14 months13 Apr 201215 months

What holding it was like

From every day in its history, what holding Nifty Pharma for a fixed span would have returned a year. Over five years the middle outcome was 15.0% a year; the worst −12.1% and the best 33.6%; 7% of five-year spans lost money.

Total return a year, %, over every span of that length starting on any session. Spans overlap, so 'separate spans' is how many non-overlapping ones the history holds: the longer the span, the fewer truly independent readings behind each figure.

Total return a year, %, over every span of that length starting on any session. Spans overlap, so 'separate spans' is how many non-overlapping ones the history holds: the longer the span, the fewer truly independent readings behind each figure.
Held forWorst1 in 10 worse thanMiddle1 in 10 better thanBestSpans that lostSeparate spans
1 year−33.1%−11.7%+14.6%+52.9%+95.8%28%25.8
3 years−14.6%−5.6%+17.4%+30.4%+46.8%13%8.6
5 years−12.1%+3.5%+15.0%+25.9%+33.6%7%5.2
7 years−0.3%+4.5%+14.7%+22.5%+30.8%0%3.7
10 years+4.5%+7.8%+13.0%+20.4%+23.6%0%2.6

Rolling returns, a year

Weekly: the return a year over the 3 and 5 years to each date, total return, %.

How to read it. Each point is what someone who bought 3 or 5 years earlier had earned a year by then. The lows mark the worst times to have bought.

3 years5 years

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Source: NSE Indices (niftyindices.com): total-return and price indices, P/E, P/B and dividend yield, index constituents, factsheets, and the monthly Nifty 50 and Nifty Next 50 weightage files; the Tipsheet model board; the ETF desk (AMFI and NSE).
Method JSON

₹10,000 on the first session of every month into the index itself, from January of each year to 14 Oct 2026. Before any fund cost or tax; an index fund would have returned a little less. Of SIPs that ran five years or more, the weakest started in 2013 (+12.0% a year).

₹10,000 on the first session of every month into the index itself, from January of each year to 14 Oct 2026. Before any fund cost or tax; an index fund would have returned a little less. Of SIPs that ran five years or more, the weakest started in 2013 (+12.0% a year).
Started in JanuaryMonthsPut inWorth nowMultipleReturn a year (XIRR)More
202522₹2,20,000₹2,50,7361.14×+15.1%
202434₹3,40,000₹4,06,9641.20×+13.2%
202346₹4,60,000₹6,40,8801.39×+17.9%
202258₹5,80,000₹8,84,8381.53×+17.9%
202170₹7,00,000₹11,23,2111.60×+16.4%
202082₹8,20,000₹14,65,1051.79×+16.9%
201994₹9,40,000₹18,52,1111.97×+17.1%
2018106₹10,60,000₹22,08,3702.08×+16.2%
2017118₹11,80,000₹25,47,9872.16×+15.1%
2016130₹13,00,000₹28,39,0592.18×+13.8%
2015142₹14,20,000₹31,10,9922.19×+12.6%
2014154₹15,40,000₹34,92,3662.27×+12.1%
2013166₹16,60,000₹39,99,2262.41×+12.0%
2012178₹17,80,000₹46,49,9282.61×+12.1%
2011190₹19,00,000₹53,79,5362.83×+12.2%
2010202₹20,20,000₹62,13,2353.08×+12.2%
2009214₹21,40,000₹75,57,5843.53×+12.8%
2008226₹22,60,000₹87,67,7923.88×+13.0%
2007238₹23,80,000₹1,00,66,5234.23×+13.0%
2006250₹25,00,000₹1,14,97,8514.60×+13.0%
2005262₹26,20,000₹1,33,00,3105.08×+13.1%
2004274₹27,40,000₹1,53,97,5755.62×+13.2%
2003286₹28,60,000₹1,85,41,7926.48×+13.6%
2002298₹29,80,000₹2,22,86,9377.48×+13.9%
2001310₹31,00,000₹2,64,75,0818.54×+14.1%

How bumpy

Volatility is how widely daily returns swing, scaled to a year. Over the past year it was 13.9%, against a usual 18.0% for this index. 58% of months ended higher, and 173 days moved 3% or more either way.

Nifty Pharma: volatility over the past year

Weekly: standard deviation of daily total returns over the past 252 sessions, annualised, %.

How to read it. Spikes come with sell-offs; calm stretches come with rising markets. High readings rarely last.

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Source: NSE Indices (niftyindices.com): total-return and price indices, P/E, P/B and dividend yield, index constituents, factsheets, and the monthly Nifty 50 and Nifty Next 50 weightage files; the Tipsheet model board; the ETF desk (AMFI and NSE).
Method JSON
Worst daysReturn
12 Mar 2020−8.9%
24 Oct 2008−8.3%
17 May 2004−8.2%
19 May 2009−7.9%
21 Jan 2008−7.5%
Best daysReturn
18 May 2009+11.8%
7 Apr 2020+10.4%
14 Oct 2008+6.0%
18 May 2004+5.8%
25 Jan 2008+5.7%
Worst monthsReturn
Oct 2008−24.4%
Jan 2008−16.2%
Sept 2008−13.0%
May 2006−12.8%
Nov 2015−12.7%
Best monthsReturn
Apr 2020+30.0%
Aug 2003+16.7%
Jun 2003+16.5%
Sept 2009+13.8%
Dec 2007+13.4%

Valuation

NSE's own price-to-earnings, price-to-book and dividend yield, at each month-end since Jul 2005. Today's P/E of 39.8 is near the top of its range since NSE moved to consolidated earnings in March 2021. Price to book, 4.85, is in the middle of its range over the full history.

Price to earnings

Month-ends, as NSE publishes them.

How to read it. Higher is dearer. Before March 2021 NSE used standalone earnings, so readings on either side of the line are not strictly comparable.

Price to earnings. Line chart, Jul 2005 to Oct 2026. Price to earnings: latest 39.8×, range 17.3× to 77.0×.

Price to book

Month-ends, as NSE publishes them.

How to read it. Higher is dearer. Book value has no accounting break, so the whole history compares.

Price to book. Line chart, Jul 2005 to Oct 2026. Price to book: latest 4.85×, range 2.74× to 9.49×.

Today is 14 Oct 2026; the history is month-ends. A percentile is the share of month-ends at or below today's reading: 90 means dearer than nine months in ten (for dividend yield, the reverse).

Today is 14 Oct 2026; the history is month-ends. A percentile is the share of month-ends at or below today's reading: 90 means dearer than nine months in ten (for dividend yield, the reverse).
TodayPercentile, full historyLast 10 yearsSince March 2021MedianLowHigh
Price to earnings39.8171799634.3717.2776.99
Price to book4.853760–5.172.749.49
Dividend yield, %0.582533–0.700.401.64

What it holds

20 stocks as NSE lists them today. The ten largest make up 78.2% of the index. It is weighted by periodic capped free float and rebalanced twice a yearly.

NSE's factsheet, 30 Sept 2026. NSE publishes the weights of the ten largest members only.

NSE's factsheet, 30 Sept 2026. NSE publishes the weights of the ten largest members only.
Largest holdingsWeight
1Sun Pharmaceutical Industries Ltd.19.51%
2Divi's Laboratories Ltd.11.98%
3Laurus Labs Ltd.7.82%
4Cipla Ltd.7.68%
5Dr. Reddy's Laboratories Ltd.7.63%
6Torrent Pharmaceuticals Ltd.7.17%
7Lupin Ltd.5.00%
8Aurobindo Pharma Ltd.4.69%
9Glenmark Pharmaceuticals Ltd.3.57%
10Alkem Laboratories Ltd.3.16%

NSE's constituent list for Nifty Pharma, as seen on 14 Oct 2026. NSE changes members at each rebalance.

NSE's constituent list for Nifty Pharma, as seen on 14 Oct 2026. NSE changes members at each rebalance.
MemberIndustryNSE symbolMore
Abbott India Ltd.HealthcareABBOTINDIA
Ajanta Pharmaceuticals Ltd.HealthcareAJANTPHARM
Alkem Laboratories Ltd.HealthcareALKEM
Aurobindo Pharma Ltd.HealthcareAUROPHARMA
Biocon Ltd.HealthcareBIOCON
Cipla Ltd.HealthcareCIPLA
Divi's Laboratories Ltd.HealthcareDIVISLAB
Dr. Reddy's Laboratories Ltd.HealthcareDRREDDY
Gland Pharma Ltd.HealthcareGLAND
Glenmark Pharmaceuticals Ltd.HealthcareGLENMARK
Ipca Laboratories Ltd.HealthcareIPCALAB
Laurus Labs Ltd.HealthcareLAURUSLABS
Lupin Ltd.HealthcareLUPIN
Mankind Pharma Ltd.HealthcareMANKIND
Piramal Pharma Ltd.HealthcarePPLPHARMA
Sai Life Sciences Ltd.HealthcareSAILIFE
Sun Pharmaceutical Industries Ltd.HealthcareSUNPHARMA
Torrent Pharmaceuticals Ltd.HealthcareTORNTPHARM
Wockhardt Ltd.HealthcareWOCKPHARMA
Zydus Lifesciences Ltd.HealthcareZYDUSLIFE

Against the Nifty 500

How Nifty Pharma has done against the broad market it is part of. Over 26 years it beat the Nifty 500 by 0.1 percentage points a year, and was ahead in 9 of 24 calendar years.

Relative strength

Weekly: Nifty Pharma's total return divided by the Nifty 500's, 100 at the start of the range shown.

How to read it. Rising: Nifty Pharma is outrunning the Nifty 500. Falling: it is lagging. The level means nothing; the direction is the reading.

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Source: NSE Indices (niftyindices.com): total-return and price indices, P/E, P/B and dividend yield, index constituents, factsheets, and the monthly Nifty 50 and Nifty Next 50 weightage files; the Tipsheet model board; the ETF desk (AMFI and NSE).
Method JSON

Three-year lead or lag

Weekly: Nifty Pharma's return a year over the past three years minus the Nifty 500's, percentage points.

How to read it. Above zero, someone who bought three years earlier was ahead of the broad index; below, behind.

Loading chart…

Source: NSE Indices (niftyindices.com): total-return and price indices, P/E, P/B and dividend yield, index constituents, factsheets, and the monthly Nifty 50 and Nifty Next 50 weightage files; the Tipsheet model board; the ETF desk (AMFI and NSE).
Method JSON

Monthly total returns. Up capture: how much of the Nifty 500's gain in its rising months this index caught (100 is all of it); down capture: the same for falling months. Beta above 1 means bigger swings than the Nifty 500.

Monthly total returns. Up capture: how much of the Nifty 500's gain in its rising months this index caught (100 is all of it); down capture: the same for falling months. Beta above 1 means bigger swings than the Nifty 500.
Ahead by, a yearUp captureDown captureBetaCorrelationTracking error
Full history, from Feb 2001+0.1 pts70520.570.6219.2%
Last 5 years, from Oct 2021+4.6 pts98710.710.6612.6%

Models and ETFs

No Tipsheet model uses Nifty Pharma. 1 ETFs track it. Its trend and momentum have a page of their own.

From the ETF desk. Tracking difference: what a holder buying and selling on the exchange got, minus the index's total return, over the past year. Tracking error: how much that gap wobbled week to week.

From the ETF desk. Tracking difference: what a holder buying and selling on the exchange got, minus the index's total return, over the past year. Tracking error: how much that gap wobbled week to week.
ETFNSE symbolExpense ratioAssetsTracking difference, 1 yearTracking error, 1 yearDaily traded value (median)More
Nippon India Nifty Pharma ETFPHARMABEES0.18%₹1,700 cr−0.45 pts1.23%₹11.2 cr

Nifty Pharma: trend and momentum →

Data and sources

Nifty Pharma is computed and published by NSE Indices. History here starts 1 Jan 2001; NSE launched the index on 1 Jul 2005, from a base date of January 01, 2001. All returns are on NSE's total-return index unless marked as price return.

Historical index data. NSE publishes daily index values, total-return values and P/E, P/B and dividend yield for every index on niftyindices.com: historical data. Pick Nifty Pharma there to download its full series.

Index values themselves are NSE's and are not republished here; the charts show growth of 100 and other figures computed from them.

The workings

The question

Are most stocks taking part?

Method

Data

Every chart has a table view, a CSV download and a link to its published JSON. Bundles are listed in data status.

Read with