Global Payments (GPN)
S&P 500 · Financials · data since 2001-01-16 · last close 2026-07-24
1d
+3.93%
7d
+3.98%
30d
+20.63%
YTD
+5.29%
1y
-1.28%
Global Payments (GPN) monthly returns (%)
| Year | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2026 | -7.3 | 6.6 | -11.7 | 6.9 | 4.9 | -3.5 | 11.5 | · | · | · | · | · |
| 2025 | 0.7 | -6.7 | -6.7 | -22.1 | -0.9 | 6.2 | -0.1 | 11.1 | -6.2 | -6.4 | -2.6 | 2.5 |
| 2024 | 4.9 | -2.6 | 3.3 | -8.2 | -17.0 | -4.8 | 5.1 | 9.2 | -7.5 | 1.3 | 14.7 | -5.6 |
| 2023 | 13.5 | -0.5 | -6.0 | 7.1 | -13.3 | 1.1 | 11.9 | 14.9 | -8.7 | -8.0 | 9.6 | 9.3 |
| 2022 | 10.9 | -11.0 | 2.8 | 0.1 | -4.3 | -15.4 | 10.6 | 1.6 | -12.9 | 5.8 | -9.2 | -4.0 |
| 2021 | -18.1 | 12.2 | 1.9 | 6.5 | -9.8 | -3.1 | 3.1 | -15.9 | -3.0 | -9.3 | -16.8 | 13.8 |
| 2020 | 7.1 | -5.9 | -21.5 | 15.1 | 8.1 | -5.4 | 5.0 | -0.8 | 0.7 | -11.2 | 23.7 | 10.5 |
| 2019 | 8.9 | 16.1 | 4.7 | 7.0 | 5.5 | 4.0 | 4.9 | -1.2 | -4.2 | 6.4 | 7.0 | 0.9 |
| 2018 | 11.5 | 1.4 | -1.6 | 1.4 | -1.7 | 0.3 | 1.0 | 10.7 | 2.3 | -10.3 | -2.1 | -7.8 |
| 2017 | 11.3 | 3.1 | 1.2 | 1.3 | 12.1 | -1.4 | 4.5 | 1.2 | -0.5 | 9.4 | -3.3 | -0.3 |
| 2016 | -8.6 | 3.4 | 7.1 | 10.5 | 7.7 | -8.1 | 4.6 | 1.7 | 1.1 | -5.5 | -5.5 | 1.3 |
| 2015 | 8.2 | 5.2 | -0.2 | 9.4 | 4.1 | -0.9 | 8.3 | -0.6 | 3.0 | 18.9 | 3.9 | -8.9 |
| 2014 | 1.7 | 6.5 | 1.1 | -6.0 | 2.6 | 6.3 | -4.9 | 5.0 | -3.9 | 15.2 | 7.3 | -6.5 |
| 2013 | 8.7 | -2.1 | 3.0 | -6.6 | 3.4 | -3.4 | -0.0 | 2.9 | 7.2 | 16.4 | 6.0 | 3.1 |
| 2012 | 5.6 | 3.2 | -8.0 | -2.3 | -8.5 | 1.8 | -0.9 | -2.7 | 0.4 | 2.2 | 2.8 | 3.2 |
| 2011 | 2.2 | 1.6 | 1.9 | 8.8 | -2.4 | -1.9 | -7.0 | -3.3 | -11.9 | 13.7 | -3.6 | 7.1 |
| 2010 | -17.4 | -3.8 | 6.4 | -6.0 | -1.4 | -13.4 | 3.3 | -0.2 | 14.0 | -9.2 | 6.7 | 11.2 |
| 2009 | 5.9 | -11.6 | 8.9 | -4.0 | 12.2 | 4.2 | 12.9 | 0.4 | 10.0 | 5.4 | 4.2 | 5.1 |
| 2008 | -19.8 | 6.4 | 4.3 | 7.0 | 6.7 | -1.3 | -5.0 | 8.9 | -7.0 | -9.7 | -10.7 | -9.3 |
| 2007 | -18.4 | 1.9 | -11.5 | 11.5 | 5.5 | -1.0 | -5.7 | 5.6 | 12.0 | 7.5 | -9.1 | 7.6 |
| 2006 | 9.3 | 2.3 | 1.8 | -10.5 | -1.8 | 4.2 | -12.4 | -10.5 | 15.7 | -0.7 | 4.8 | 1.1 |
| 2005 | -2.1 | -3.0 | 16.2 | 0.4 | 7.1 | -2.2 | -2.3 | -0.6 | 18.1 | 10.3 | 2.2 | 6.5 |
| 2004 | -1.3 | -6.9 | 4.2 | 6.4 | -2.7 | -3.5 | 1.4 | -2.7 | 20.7 | 2.3 | 0.8 | 6.1 |
| 2003 | -10.9 | -1.9 | 9.2 | 1.6 | 9.8 | 4.4 | -0.8 | 7.3 | -4.6 | 15.7 | 9.1 | 3.8 |
| 2002 | 4.4 | -14.8 | 19.9 | 4.8 | -5.4 | -18.0 | -12.6 | 7.3 | -8.1 | 10.3 | 2.2 | 11.0 |
| 2001 | 25.0 | 1.3 | -2.6 | 14.3 | 24.6 | 14.4 | 7.3 | 10.2 | -17.3 | 1.9 | 11.7 | 3.0 |
| Avg | 1.4 | 0.0 | 1.1 | 2.1 | 1.7 | -1.6 | 1.7 | 2.4 | 0.4 | 2.9 | 2.2 | 2.6 |
Values in %. Current and first-listed months are partial (greyed).
returnsview.com
Seasonality — average by calendar month
| Month | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Avg | +1.4% | +0.0% | +1.1% | +2.1% | +1.7% | -1.6% | +1.3% | +2.4% | +0.4% | +2.9% | +2.2% | +2.6% |
| Win rate | 65%/26 | 54%/26 | 65%/26 | 69%/26 | 54%/26 | 38%/26 | 56%/25 | 60%/25 | 48%/25 | 64%/25 | 64%/25 | 72%/25 |
Win rate = share of positive months / sample size.
Risk & extremes
Max drawdown
-70.2%
Worst peak-to-trough fall on record
Monthly volatility
±8.4%
Std. dev. of monthly returns
Positive months
59%
Share of completed months in the green
Best month
+25%
2001-01
Worst month
-22.07%
2025-04
Longest streaks
8▲ / 5▼
Consecutive up / down months
Drawdown & rolling returns
Percent below the all-time high at each month-end — how far underwater the asset was.
About Global Payments
Global Payments moves money around and keeps a slice for the trouble — with price receipts on this site going back to 2001. And the long game: $100 at its first close here (2001) would be about $1,701 today.
Did you know?
- Its best month on record was January 2001 at +25%; its worst, April 2025 at -22.07%.
- It has closed December in the green 18 out of 25 times — calendar astrology, but the fun kind.
Trivia for entertainment — the numbers come from our price data; the jokes don't.