Corpay (CPAY) Operating Expenses (2010 - 2026)
Corpay's Operating Expenses came in at $260.4 million for Q2 2026, up 25.9% from $206.78 million a year earlier and up 8.9% from the prior quarter.
Corpay (CPAY) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Corpay reported Operating Expenses of $971.67 million, up 26.9% year-over-year; for FY2025, it came in at $864.23 million, up 17.3% from FY2024.
- Operating Expenses has increased in each of the last five years, with a five-year compound annual growth rate of 14.5% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $736.98 million in FY2024 (+3.3%), $713.42 million in FY2023 (+5.5%), $676.15 million in FY2022 (+20.4%) and $561.43 million in FY2021 (+27.6%).
- The five-year range for quarterly Operating Expenses is $141.3 million (Q3 2021) to $260.72 million (Q4 2025).
- Year-over-year, Operating Expenses has increased for eight consecutive quarters, with growth averaging 17.4% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q4 2021 (growth of 48.8%), and the weakest in Q2 2024 (a decline of 2.0%).
- Business Quant data shows CPAY's Operating Expenses at $239.18 million (Q1 2026), $260.72 million (Q4 2025) and $211.38 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Coinbase Global | 50.59 Bn | 7.40 Bn | - | 1.33 Bn |
| 2 | PayPal Holdings | 46.79 Bn | 5.01 Bn | - | 7.26 Bn |
| 3 | Block | 44.05 Bn | 15.31 Bn | 3.17 Bn | 2.72 Bn |
| 4 | Iren | 31.74 Bn | 19.34 Bn | 103.89 Mn | 128.25 Mn |
| 5 | Corpay | 26.01 Bn | 16.21 Bn | - | 260.40 Mn |
| 6 | Fiserv | 24.47 Bn | 21.17 Bn | 2.90 Bn | 4.28 Bn |
| 7 | Global Payments | 22.51 Bn | 952.73 Mn | 2.03 Bn | 2.98 Bn |
| 8 | Bitmine Immersion Technologies | 15.56 Bn | 12.94 Bn | 40.81 Mn | 52.67 Mn |
| 9 | Guidewire Software | 11.90 Bn | 8.47 Bn | 269.68 Mn | 207.36 Mn |
| 10 | Hut 8 | 11.42 Bn | 11.26 Bn | 48.04 Mn | 76.08 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 260.40 Mn |
| Mar 31, 2026 | 239.18 Mn |
| Dec 31, 2025 | 260.72 Mn |
| Sep 30, 2025 | 211.38 Mn |
| Jun 30, 2025 | 206.78 Mn |
| Mar 31, 2025 | 185.36 Mn |
| Dec 31, 2024 | 189.38 Mn |
| Sep 30, 2024 | 184.12 Mn |
| Jun 30, 2024 | 183.29 Mn |
| Mar 31, 2024 | 180.19 Mn |
| Dec 31, 2023 | 169.52 Mn |
| Sep 30, 2023 | 176.13 Mn |
| Jun 30, 2023 | 187.12 Mn |
| Mar 31, 2023 | 180.66 Mn |
| Dec 31, 2022 | 168.82 Mn |
| Sep 30, 2022 | 172.58 Mn |
| Jun 30, 2022 | 170.09 Mn |
| Mar 31, 2022 | 164.66 Mn |
| Dec 31, 2021 | 160.67 Mn |
| Sep 30, 2021 | 141.30 Mn |
Corpay 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=CPAY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "CPAY", "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=CPAY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();