Global Payments (GPN) Operating Expenses (2009 - 2026)
Global Payments (GPN) recorded Operating Expenses of $2.98 billion in Q2 2026, up 89.3% from $1.58 billion a year earlier but down 0.1% from the prior quarter.
Global Payments (GPN) Operating Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Global Payments' Operating Expenses came in at $8.96 billion as of Jun 30, 2026, up 54.1% year-over-year; for FY2025, it came in at $5.95 billion, up 3.3% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of -1.8% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $5.76 billion in FY2024 (-5.0%), $6.06 billion in FY2023 (-27.2%), $8.34 billion in FY2022 (+16.3%) and $7.16 billion in FY2021 (+9.7%).
- Quarterly Operating Expenses has ranged from $61.23 million in Q4 2023 to $2.99 billion in Q1 2026 over the past five years.
- On a year-over-year basis, Operating Expenses has increased for three consecutive quarters, with growth averaging 25.3% over the last seven quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 106.1% in Q1 2026, against a decline of 96.7% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $2.99 billion (Q1 2026), $1.76 billion (Q4 2025) and $1.23 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | PayPal Holdings | 50.08 Bn | 8.30 Bn | - | 7.26 Bn |
| 2 | Block | 46.71 Bn | 18.00 Bn | 3.17 Bn | 2.72 Bn |
| 3 | Coinbase Global | 45.00 Bn | 1.80 Bn | - | 1.33 Bn |
| 4 | Corpay | 26.84 Bn | 16.72 Bn | - | 260.40 Mn |
| 5 | Fiserv | 25.68 Bn | 22.36 Bn | 2.90 Bn | 4.28 Bn |
| 6 | Global Payments | 22.94 Bn | 732.47 Mn | 2.03 Bn | 2.98 Bn |
| 7 | Guidewire Software | 15.52 Bn | 12.08 Bn | 269.68 Mn | 207.36 Mn |
| 8 | Bitmine Immersion Technologies | 12.62 Bn | 10.00 Bn | 40.81 Mn | 52.67 Mn |
| 9 | Chime Financial | 11.56 Bn | 7.35 Bn | 594.87 Mn | 573.55 Mn |
| 10 | Jack Henry & Associates | 11.10 Bn | 11.00 Bn | 273.85 Mn | 507.25 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.98 Bn |
| Mar 31, 2026 | 2.99 Bn |
| Dec 31, 2025 | 1.76 Bn |
| Sep 30, 2025 | 1.23 Bn |
| Jun 30, 2025 | 1.58 Bn |
| Mar 31, 2025 | 1.45 Bn |
| Dec 31, 2024 | 1.24 Bn |
| Sep 30, 2024 | 1.55 Bn |
| Jun 30, 2024 | 1.50 Bn |
| Mar 31, 2024 | 1.97 Bn |
| Dec 31, 2023 | 61.23 Mn |
| Sep 30, 2023 | 1.92 Bn |
| Jun 30, 2023 | 1.85 Bn |
| Mar 31, 2023 | 2.24 Bn |
| Dec 31, 2022 | 1.85 Bn |
| Sep 30, 2022 | 1.90 Bn |
| Jun 30, 2022 | 2.81 Bn |
| Mar 31, 2022 | 1.78 Bn |
| Dec 31, 2021 | 1.87 Bn |
| Sep 30, 2021 | 1.80 Bn |
Global Payments Operating Expenses 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=operating-expenses&ticker=GPN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=GPN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();