Global Payments (GPN) EV to EBITDA (2013 - 2026)
Global Payments' (GPN) quarterly EV to EBITDA came in at 43.09 in Q2 2026, down 2.89% year-over-year from 44.37 in Q2 2025, and up 105.1% quarter-over-quarter from 844.27 in Q1 2026.
Global Payments (GPN) EV to EBITDA (2013 - 2026) Analysis & Trends
Global Payments (GPN) has reported EV to EBITDA for 18 consecutive years, with 43.09 the latest figure, recorded in Q2 2026.
- On a quarterly basis, EV to EBITDA fell 2.89% year-over-year to 43.09 in Q2 2026; TTM through Jun 2026 was 11.45, a 24.95% increase from a year earlier, with the FY2025 full-year figure at 6.08, down 53.28% from the prior year.
- EV to EBITDA was 43.09 for Q2 2026 at Global Payments, up from 844.27 in the prior quarter.
- Over five years, EV to EBITDA peaked at 455.93 in Q1 2023 and troughed at 844.27 in Q1 2026.
- A 5-year average of 35.39 and a median of 52.06 in 2023 frame the typical range for EV to EBITDA.
- Across the five-year window, EV to EBITDA surged 439.74% in 2023 and plunged 1532.56% in 2026, its largest moves.
- Over 5 years, EV to EBITDA stood at 59.25 in 2022, then surged by 439.74% to 319.77 in 2023, then plunged by 88.46% to 36.9 in 2024, then surged by 70.85% to 63.04 in 2025, then tumbled by 31.65% to 43.09 in 2026.
- The last three EV to EBITDA figures came in at 43.09 (Q2 2026), 844.27 (Q1 2026), and 63.04 (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 |
|---|---|
| Jun 30, 2026 | 3.85 |
| Mar 31, 2026 | 4.04 |
| Dec 31, 2025 | 3.28 |
| Sep 30, 2025 | 4.53 |
| Jun 30, 2025 | 4.66 |
| Mar 31, 2025 | 5.51 |
| Dec 31, 2024 | 6.32 |
| Sep 30, 2024 | 6.87 |
| Jun 30, 2024 | 6.51 |
| Mar 31, 2024 | 8.88 |
| Dec 31, 2023 | 9.74 |
| Sep 30, 2023 | 8.18 |
| Jun 30, 2023 | 7.40 |
| Mar 31, 2023 | 12.47 |
| Dec 31, 2022 | 10.01 |
| Sep 30, 2022 | 11.62 |
| Jun 30, 2022 | 12.14 |
| Mar 31, 2022 | 11.24 |
| Dec 31, 2021 | 11.65 |
| Sep 30, 2021 | 14.24 |
Global Payments EV to EBITDA 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=ev-to-ebitda&ticker=GPN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=GPN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();