ProPetro Holding (PUMP) Cost of Revenue (2016 - 2026)
ProPetro Holding's Cost of Revenue came in at $269.75 million for Q3 2026, up 14.1% from $236.5 million a year earlier and up 15.3% from the prior quarter.
ProPetro Holding (PUMP) Cost of Revenue (2016 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, ProPetro Holding reported Cost of Revenue of $930.08 million, down 6.7% year-over-year; for FY2025, it was $968.18 million, down 9.1% from FY2024.
- Cost of Revenue carries a five-year compound annual growth rate of 10.6% (FY2020 to FY2025).
- Going back by year, Cost of Revenue was $1.07 billion in FY2024 (-5.9%), $1.13 billion in FY2023 (+28.2%), $882.82 million in FY2022 (+33.3%) and $662.27 million in FY2021 (+13.3%).
- The Q3 2026 figure represents the highest quarterly Cost of Revenue since Q1 2024.
- Year-over-year, Cost of Revenue increased in 1 of the last eight quarters, with an average decline of 7.1%.
- The fastest year-over-year change in Cost of Revenue over five years came in Q4 2021 (growth of 62.0%), and the weakest in Q1 2026 (a decline of 19.8%).
- Business Quant data shows PUMP's Cost of Revenue at $233.99 million (Q2 2026), $211.69 million (Q1 2026) and $214.65 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 75.03 Bn | 71.48 Bn | 1.57 Bn | 7.88 Bn |
| 2 | Baker Hughes | 48.58 Bn | 10.30 Bn | 1.96 Bn | 6.07 Bn |
| 3 | Halliburton | 26.54 Bn | 18.44 Bn | 840.00 Mn | 4.86 Bn |
| 4 | TechnipFMC | 25.23 Bn | 21.20 Bn | 728.70 Mn | 2.17 Bn |
| 5 | Noble | 6.56 Bn | 4.63 Bn | 228.22 Mn | 500.54 Mn |
| 6 | Nov | 6.35 Bn | 1.23 Bn | 439.00 Mn | 1.79 Bn |
| 7 | Weatherford International | 6.23 Bn | 1.97 Bn | 374.00 Mn | 769.00 Mn |
| 8 | Transocean | 5.84 Bn | 3.88 Bn | 348.00 Mn | 589.00 Mn |
| 9 | Valaris | 5.50 Bn | 3.26 Bn | 176.30 Mn | 417.30 Mn |
| 10 | ProPetro Holding | 825.87 Mn | -934.95 Mn | 85.64 Mn | 269.75 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 269.75 Mn |
| Jun 30, 2026 | 233.99 Mn |
| Mar 31, 2026 | 211.69 Mn |
| Dec 31, 2025 | 214.65 Mn |
| Sep 30, 2025 | 236.50 Mn |
| Jun 30, 2025 | 253.17 Mn |
| Mar 31, 2025 | 263.86 Mn |
| Dec 31, 2024 | 243.47 Mn |
| Sep 30, 2024 | 267.56 Mn |
| Jun 30, 2024 | 265.85 Mn |
| Mar 31, 2024 | 288.64 Mn |
| Dec 31, 2023 | 261.03 Mn |
| Sep 30, 2023 | 292.49 Mn |
| Jun 30, 2023 | 297.79 Mn |
| Mar 31, 2023 | 280.49 Mn |
| Dec 31, 2022 | 242.62 Mn |
| Sep 30, 2022 | 224.12 Mn |
| Jun 30, 2022 | 218.81 Mn |
| Mar 31, 2022 | 197.27 Mn |
| Dec 31, 2021 | 187.36 Mn |
ProPetro Holding Cost of Revenue 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=cost-of-revenue&ticker=PUMP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=PUMP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();