ProPetro Holding (PUMP) Operating Expenses (2016 - 2026)
ProPetro Holding's Operating Expenses was $309 million in Q2 2026, down 6.2% from $329.32 million a year earlier but up 10.9% from the prior quarter.
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Analysis
ProPetro Holding (PUMP) Operating Expenses (2016 - 2026) Analysis & Trends
On a trailing twelve-month basis, ProPetro Holding's Operating Expenses was $1.17 billion through Jun 30, 2026, down 24.8% year-over-year; for FY2025, it came in at $1.26 billion, down 21.6% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 6.5% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $1.61 billion in FY2024 (+7.4%), $1.5 billion in FY2023 (+17.0%), $1.28 billion in FY2022 (+35.9%) and $943.21 million in FY2021 (+2.5%).
- Quarterly Operating Expenses has moved between $255.99 million (Q3 2021) and $539.16 million (Q3 2024) over five years.
- Compared with a year earlier, Operating Expenses has declined for seven straight quarters, with an average decline of 8.1% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was Q2 2022 (growth of 55.4%); the worst was Q3 2025 (a decline of 44.4%).
- Per Business Quant data, PUMP's Operating Expenses in the three quarters before Q2 2026 was $278.72 million (Q1 2026), $283.59 million (Q4 2025) and $299.98 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 76.39 Bn | 73.50 Bn | 1.40 Bn | 324.00 Mn |
| 2 | Baker Hughes | 56.70 Bn | 19.98 Bn | 1.58 Bn | 723.00 Mn |
| 3 | TechnipFMC | 27.74 Bn | 23.88 Bn | 684.70 Mn | 2.28 Bn |
| 4 | Halliburton | 27.03 Bn | 18.79 Bn | 804.00 Mn | 4.94 Bn |
| 5 | Nov | 6.97 Bn | 1.76 Bn | 521.00 Mn | 1.04 Bn |
| 6 | Noble | 6.81 Bn | 4.74 Bn | 239.27 Mn | 689.21 Mn |
| 7 | Weatherford International | 5.95 Bn | 1.88 Bn | 333.00 Mn | 998.00 Mn |
| 8 | Transocean | 5.90 Bn | 3.61 Bn | 358.00 Mn | 812.00 Mn |
| 9 | Valaris | 5.52 Bn | 3.13 Bn | 123.70 Mn | 498.70 Mn |
| 10 | ProPetro Holding | 1.14 Bn | 34.89 Mn | 71.82 Mn | 309.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 309.00 Mn |
| Mar 31, 2026 | 278.72 Mn |
| Dec 31, 2025 | 283.59 Mn |
| Sep 30, 2025 | 299.98 Mn |
| Jun 30, 2025 | 329.32 Mn |
| Mar 31, 2025 | 349.92 Mn |
| Dec 31, 2024 | 339.00 Mn |
| Sep 30, 2024 | 539.16 Mn |
| Jun 30, 2024 | 357.55 Mn |
| Mar 31, 2024 | 375.53 Mn |
| Dec 31, 2023 | 356.06 Mn |
| Sep 30, 2023 | 379.12 Mn |
| Jun 30, 2023 | 382.77 Mn |
| Mar 31, 2023 | 382.11 Mn |
| Dec 31, 2022 | 330.63 Mn |
| Sep 30, 2022 | 319.36 Mn |
| Jun 30, 2022 | 355.35 Mn |
| Mar 31, 2022 | 276.95 Mn |
| Dec 31, 2021 | 268.47 Mn |
| Sep 30, 2021 | 255.99 Mn |
API Access
ProPetro Holding 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=PUMP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "PUMP", "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=PUMP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();