Global Payments (GPN) Price to Earnings (2010 - 2025)
Global Payments' (GPN) quarterly Price to Earnings came in at 2661.79 in Q2 2026, up 3001.48% year-over-year from 85.82 in Q2 2025, and up 26123.6% quarter-over-quarter from 10.23 in Q1 2026.
Global Payments (GPN) Price to Earnings (2010 - 2025) Analysis & Trends
Global Payments (GPN) has reported Price to Earnings for 18 consecutive years, with 2661.79 the latest figure, recorded in Q2 2026.
- On a quarterly basis, Price to Earnings rose 3001.48% year-over-year to 2661.79 in Q2 2026; TTM through Jun 2026 was 19.75, a 244.22% decrease from a year earlier, with the FY2025 full-year figure at 13.71, down 22.55% from the prior year.
- Price to Earnings was 2661.79 for Q2 2026 at Global Payments, up from 10.23 in the prior quarter.
- Over five years, Price to Earnings peaked at 2661.79 in Q2 2026 and troughed at 4628.86 in Q4 2023.
- A 5-year average of 111.65 and a median of 82.85 in 2023 frame the typical range for Price to Earnings.
- Across the five-year window, Price to Earnings plunged 4474.81% in 2023 and surged 3001.48% in 2026, its largest moves.
- Over 5 years, Price to Earnings stood at 105.81 in 2022, then sank by 4474.81% to 4628.86 in 2023, then surged by 101.04% to 48.17 in 2024, then surged by 121.68% to 106.79 in 2025, then jumped by 2392.55% to 2661.79 in 2026.
- The last three Price to Earnings figures came in at 2661.79 (Q2 2026), 10.23 (Q1 2026), and 106.79 (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Bitmine Immersion Technologies | 57.56 Bn | 54.94 Bn | 40.81 Mn |
| 2 | Coinbase Global | 51.47 Bn | 8.27 Bn | - |
| 3 | PayPal Holdings | 47.44 Bn | 5.67 Bn | - |
| 4 | Block | 45.91 Bn | 17.17 Bn | 3.17 Bn |
| 5 | Iren | 33.57 Bn | 21.17 Bn | 103.89 Mn |
| 6 | Corpay | 26.14 Bn | 16.34 Bn | - |
| 7 | Fiserv | 24.72 Bn | 21.42 Bn | 2.90 Bn |
| 8 | Global Payments | 22.99 Bn | 1.43 Bn | 2.03 Bn |
| 9 | Guidewire Software | 11.94 Bn | 8.51 Bn | 269.68 Mn |
| 10 | Hut 8 | 11.93 Bn | 11.77 Bn | 48.04 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 13.08 |
| Sep 30, 2025 | 11.23 |
| Jun 30, 2025 | 13.57 |
| Mar 31, 2025 | 15.37 |
| Dec 31, 2024 | 17.75 |
| Sep 30, 2024 | 19.10 |
| Jun 30, 2024 | 17.43 |
| Mar 31, 2024 | 26.02 |
| Dec 31, 2023 | 33.53 |
| Sep 30, 2023 | 34.36 |
| Jun 30, 2023 | 31.90 |
| Dec 31, 2022 | 234.36 |
| Sep 30, 2022 | 413.45 |
| Jun 30, 2022 | 398.46 |
| Mar 31, 2022 | 38.00 |
| Dec 31, 2021 | 39.87 |
| Sep 30, 2021 | 48.65 |
| Jun 30, 2021 | 63.76 |
| Mar 31, 2021 | 93.31 |
| Dec 31, 2020 | 109.95 |
Global Payments Price to Earnings API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=price-to-earnings&ticker=GPN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "GPN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=price-to-earnings&ticker=GPN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();