Smith & Nephew (SN-L)
FTSE 100 · Health care equipment & supplies · data since 1988-07-01 · last close 2026-09-09
Smith & Nephew (SN-L) monthly returns (%)
| Year | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2026 | 0.3 | 10.4 | -13.6 | -4.0 | -2.3 | -1.9 | 6.2 | -8.3 | -3.5 | · | · | · |
| 2025 | 4.1 | 11.5 | -5.7 | -2.9 | 1.9 | 3.6 | 4.5 | 19.0 | -3.3 | 5.1 | -10.7 | -1.3 |
| 2024 | 3.0 | -6.3 | -4.7 | -1.3 | 1.2 | -1.0 | 14.5 | 4.2 | -1.1 | -17.0 | 3.8 | -0.6 |
| 2023 | 0.5 | 6.4 | -5.4 | 17.2 | -8.6 | 5.5 | -6.5 | -9.7 | -4.4 | -10.0 | 11.2 | 5.4 |
| 2022 | -3.1 | 6.7 | -8.7 | 6.8 | -0.8 | -11.3 | -8.7 | -3.0 | 3.5 | -1.9 | 5.4 | 2.2 |
| 2021 | 2.1 | -10.1 | -0.5 | 14.0 | -1.9 | 1.4 | -6.4 | -4.6 | -7.7 | -2.5 | -3.0 | 6.2 |
| 2020 | -0.3 | -4.8 | -17.5 | 8.6 | 5.4 | -8.3 | 0.8 | 0.3 | -0.3 | -11.9 | 8.6 | 4.1 |
| 2019 | -2.0 | 0.1 | 6.0 | -2.8 | 12.4 | 2.5 | 9.0 | 5.7 | -0.3 | -15.6 | 4.8 | 5.9 |
| 2018 | -1.5 | -0.0 | 4.9 | 4.9 | -2.0 | 2.2 | -5.5 | 2.8 | 3.1 | -9.0 | 11.9 | 2.7 |
| 2017 | -3.1 | 2.4 | 0.4 | 4.4 | 6.6 | -2.1 | -0.4 | 5.8 | -3.5 | 5.4 | -7.8 | -1.7 |
| 2016 | -3.8 | 0.9 | -2.1 | 0.7 | 1.4 | 8.1 | -1.9 | -1.1 | 1.2 | -4.9 | -4.7 | 8.3 |
| 2015 | 0.3 | -0.4 | -3.5 | -2.4 | 3.9 | -7.4 | 10.7 | -2.2 | -0.9 | -3.7 | 1.4 | 7.4 |
| 2014 | 1.7 | 8.6 | -4.5 | 1.2 | 13.8 | -0.7 | -1.3 | 1.7 | -0.3 | 1.6 | 5.0 | 7.0 |
| 2013 | 6.9 | -2.7 | 7.5 | -3.3 | 5.0 | -4.7 | 6.7 | -4.4 | 2.8 | 3.4 | 2.3 | 5.6 |
| 2012 | -1.7 | 0.5 | 2.5 | -4.3 | -0.1 | 5.2 | 2.5 | 2.1 | 2.5 | -4.2 | 0.4 | 3.4 |
| 2011 | 2.6 | 2.5 | -1.2 | -6.5 | 3.0 | -1.8 | -3.6 | -2.4 | -7.0 | -2.0 | 1.8 | 7.7 |
| 2010 | -1.0 | 6.4 | -2.5 | 3.4 | -7.7 | 1.4 | -12.8 | -2.3 | 7.1 | -5.4 | 6.1 | 16.1 |
| 2009 | 13.7 | -0.1 | -13.2 | 11.2 | -6.6 | 0.1 | 5.8 | 10.2 | 7.0 | -3.6 | 6.9 | 10.6 |
| 2008 | 17.6 | -3.9 | 1.7 | -1.7 | -17.3 | 2.3 | -2.4 | 22.5 | -10.8 | -3.7 | -15.1 | -9.2 |
| 2007 | 7.5 | 3.5 | 8.9 | -2.8 | -1.3 | -0.2 | -4.8 | -0.9 | 2.3 | 8.7 | -10.5 | -0.3 |
| 2006 | 4.2 | -9.0 | 0.6 | -11.3 | -3.8 | -4.6 | 10.7 | -1.3 | 7.9 | 4.3 | -6.0 | 10.6 |
| 2005 | -2.6 | 3.1 | -7.0 | 8.1 | 1.1 | 1.4 | -1.8 | -1.7 | -10.5 | 0.4 | 7.5 | 4.2 |
| 2004 | 2.1 | 7.2 | 4.3 | 6.9 | -0.1 | 3.8 | -6.5 | -9.9 | 1.6 | -8.9 | 15.3 | -0.1 |
| 2003 | -9.1 | 5.8 | 5.7 | 7.8 | -11.3 | -5.9 | 6.5 | 9.4 | -2.5 | 18.2 | -4.6 | 5.1 |
| 2002 | -6.3 | 9.4 | -3.7 | -4.9 | -0.4 | -6.5 | -7.6 | 10.9 | 3.1 | -1.0 | -0.9 | 1.1 |
| 2001 | -0.7 | 7.0 | -6.8 | 7.7 | -1.4 | 12.9 | -3.7 | 1.9 | -4.4 | 12.1 | -3.0 | 10.8 |
| 2000 | -12.4 | 12.4 | -11.7 | 2.2 | -3.8 | 37.1 | -1.2 | -3.9 | 4.4 | -4.1 | 12.4 | -2.5 |
| 1999 | -2.1 | -2.0 | -15.9 | 5.3 | 9.0 | 11.6 | -6.2 | 14.9 | -8.0 | 2.5 | 11.0 | -4.4 |
| 1998 | -1.1 | -0.8 | -6.2 | 3.9 | 2.0 | -15.0 | 9.7 | -12.2 | -4.9 | 21.2 | 0.6 | 12.0 |
| 1997 | -0.7 | 7.1 | -7.0 | -2.9 | 1.0 | -4.8 | 5.9 | -1.4 | 8.4 | -7.4 | -1.8 | 5.1 |
| 1996 | -4.3 | 4.9 | -2.5 | 5.7 | 3.7 | 2.4 | -2.3 | -3.1 | 5.9 | -8.9 | -1.1 | -2.4 |
| 1995 | 0.0 | 0.0 | 16.9 | 0.0 | -1.0 | 5.8 | 8.1 | -0.5 | -1.6 | 2.8 | -0.4 | -3.5 |
| 1994 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 1993 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 1992 | 6.5 | 2.3 | -1.9 | 4.7 | -2.0 | -5.6 | -5.3 | -1.3 | 0.0 | 0.0 | 0.0 | 0.0 |
| 1991 | -5.3 | 13.1 | 15.2 | -5.8 | 5.3 | -0.4 | 7.0 | 0.8 | -4.9 | 1.7 | 0.8 | 4.1 |
| 1990 | -8.7 | -2.1 | 2.6 | -2.1 | -4.2 | 3.9 | 0.0 | -14.8 | -1.9 | 9.6 | 0.0 | -3.2 |
| 1989 | 15.1 | -2.3 | 5.4 | 7.8 | -2.8 | -3.4 | 10.5 | -2.5 | 2.1 | -5.3 | 2.3 | -4.0 |
| 1988 | · | · | · | · | · | · | -8.3 | -11.5 | 11.2 | 3.6 | -9.3 | -0.8 |
| Avg | 0.5 | 2.3 | -1.7 | 1.9 | -0.1 | 0.7 | 0.6 | 0.2 | -0.2 | -0.8 | 1.1 | 2.9 |
Values in %. Current and first-listed months are partial (greyed).
returnsview.com
SN-L seasonality — average by calendar month
Smith & Nephew has monthly history back to 1988. Its strongest month by median is December — positive in 22 of 38 years, median +3.0%, and higher in 6 of the last 9. March is the soft spot, down in 24 of 38 with a median of -2.0%. Across its full record it has closed 47% of months higher, swings ±6.8% in an average month and has fallen 54.9% peak to trough.
| Month | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Avg | +0.5% | +2.3% | -1.7% | +1.9% | -0.1% | +0.7% | +0.6% | +0.2% | -0.1% | -0.8% | +1.1% | +2.9% |
| Win rate | 42%/38 | 58%/38 | 37%/38 | 55%/38 | 45%/38 | 47%/38 | 41%/39 | 38%/39 | 42%/38 | 45%/38 | 53%/38 | 58%/38 |
Win rate = share of positive months / sample size.
SN-L risk & extremes
SN-L drawdown & rolling returns
Percent below the all-time high at each month-end — how far underwater the asset was.
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Frequently asked questions
What was Smith & Nephew's best month?+
Smith & Nephew's strongest completed month on record is June 2000, at +37.08%.
What was Smith & Nephew's worst month?+
Its weakest completed month on record is March 2020, at -17.51%.
Is Smith & Nephew up this year?+
Smith & Nephew is down 17.19% year to date, measured from its last close before 1 January.
What is Smith & Nephew's 1-year return?+
-28.52% over the past twelve months, comparing the latest close with the most recent close on or before the same date a year earlier.
What is Smith & Nephew's biggest drawdown?+
The deepest peak-to-trough fall on record is 54.9%, measured on month-end closes since 1988.
Which calendar month is historically best for Smith & Nephew?+
December has the highest average return across every completed December since 1988. An average is not a forecast.
About Smith & Nephew
Smith & Nephew is a FTSE 100 company, a health care equipment & supplies business worth about $12 billion. It turns lab coats into cash flows — with price receipts on this site going back to 1988. And the long game: $100 at its first close here (1988) would be about $694 today.
Did you know?
- Its best month on record was June 2000 at +37.08%; its worst, March 2020 at -17.51%.
Trivia for entertainment — the numbers come from our price data; the jokes don't.