Shift4 Payments (FOUR) Operating Expenses (2019 - 2026)
Shift4 Payments (FOUR) reported Operating Expenses of $262 million for Q2 2026, up 73.5% from $151 million a year earlier and up 6.9% from the prior quarter.
Shift4 Payments (FOUR) Operating Expenses (2019 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Shift4 Payments' Operating Expenses came in at $956.5 million, up 59.3% year-over-year; for FY2025, it came in at $774 million, up 47.4% from FY2024.
- Operating Expenses has increased for three consecutive years, with a five-year compound annual growth rate of 26.9% (FY2020 to FY2025).
- By year, Operating Expenses came in at $525 million in FY2024 (+41.1%), $372 million in FY2023 (+23.6%), $301 million in FY2022 (-8.1%) and $327.6 million in FY2021 (+39.2%).
- The Q2 2026 figure ranks as the highest quarterly Operating Expenses in data going back to Q1 2019.
- Year over year, Operating Expenses has now increased in each of the last ten quarters, with growth averaging 50.1% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q2 2026 (growth of 73.5%); the low point was Q1 2023 (a decline of 2.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $245 million (Q1 2026), $236.6 million (Q4 2025) and $212.9 million (Q3 2025).
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 | Shift4 Payments | 5.76 Bn | 2.57 Bn | 446.00 Mn | 262.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 262.00 Mn |
| Mar 31, 2026 | 245.00 Mn |
| Dec 31, 2025 | 236.60 Mn |
| Sep 30, 2025 | 212.90 Mn |
| Jun 30, 2025 | 151.00 Mn |
| Mar 31, 2025 | 172.00 Mn |
| Dec 31, 2024 | 142.00 Mn |
| Sep 30, 2024 | 135.60 Mn |
| Jun 30, 2024 | 125.90 Mn |
| Mar 31, 2024 | 121.50 Mn |
| Dec 31, 2023 | 97.70 Mn |
| Sep 30, 2023 | 87.90 Mn |
| Jun 30, 2023 | 100.20 Mn |
| Mar 31, 2023 | 94.40 Mn |
| Dec 31, 2022 | 98.40 Mn |
| Sep 30, 2022 | 75.60 Mn |
| Jun 30, 2022 | 82.90 Mn |
| Mar 31, 2022 | 96.30 Mn |
| Dec 31, 2021 | 89.10 Mn |
| Sep 30, 2021 | 70.00 Mn |
Shift4 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=FOUR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "FOUR", "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=FOUR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();