ProPetro Holding (PUMP) Selling, General & Administrative (2016 - 2026)
ProPetro Holding (PUMP) recorded Selling, General & Administrative of $33.13 million in Q2 2026, up 16.3% from $28.49 million a year earlier and up 22.0% from the prior quarter.
ProPetro Holding (PUMP) Selling, General & Administrative (2016 - 2026) Analysis & Trends
On a TTM basis, ProPetro Holding's Selling, General & Administrative came in at $111.72 million as of Jun 30, 2026, up 0.4% year-over-year; for FY2025, it was $107.56 million, down 5.9% from FY2024.
- Annual Selling, General & Administrative has a five-year compound annual growth rate of 4.4% (FY2020 to FY2025).
- Across earlier years, Selling, General & Administrative came in at $114.32 million in FY2024 (unchanged), $114.35 million in FY2023 (+2.3%), $111.76 million in FY2022 (+34.8%) and $82.92 million in FY2021 (-4.4%).
- The Q2 2026 figure is the highest quarterly Selling, General & Administrative in data going back to Q1 2016.
- On a year-over-year basis, Selling, General & Administrative rose in three of the last eight quarters, with an average decline of 1.8%.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 57.0% in Q1 2022, against a decline of 15.3% in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $27.15 million (Q1 2026), $28.94 million (Q4 2025) and $22.5 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 72.31 Bn | 69.42 Bn | 1.40 Bn | 84.00 Mn |
| 2 | Baker Hughes | 54.50 Bn | 17.77 Bn | 1.58 Bn | 569.00 Mn |
| 3 | TechnipFMC | 26.69 Bn | 22.84 Bn | 684.70 Mn | 169.30 Mn |
| 4 | Halliburton | 26.49 Bn | 18.25 Bn | 804.00 Mn | 75.00 Mn |
| 5 | Nov | 6.70 Bn | 1.49 Bn | 521.00 Mn | 328.00 Mn |
| 6 | Noble | 6.66 Bn | 4.59 Bn | 239.27 Mn | 26.94 Mn |
| 7 | Transocean | 5.85 Bn | 3.56 Bn | 358.00 Mn | 56.00 Mn |
| 8 | Weatherford International | 5.65 Bn | 1.58 Bn | 333.00 Mn | 172.00 Mn |
| 9 | Valaris | 5.44 Bn | 3.06 Bn | 123.70 Mn | 27.20 Mn |
| 10 | ProPetro Holding | 1.09 Bn | -22.84 Mn | 71.82 Mn | 33.13 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 33.13 Mn |
| Mar 31, 2026 | 27.15 Mn |
| Dec 31, 2025 | 28.94 Mn |
| Sep 30, 2025 | 22.50 Mn |
| Jun 30, 2025 | 28.49 Mn |
| Mar 31, 2025 | 27.63 Mn |
| Dec 31, 2024 | 28.63 Mn |
| Sep 30, 2024 | 26.56 Mn |
| Jun 30, 2024 | 30.91 Mn |
| Mar 31, 2024 | 28.23 Mn |
| Dec 31, 2023 | 27.99 Mn |
| Sep 30, 2023 | 28.60 Mn |
| Jun 30, 2023 | 29.02 Mn |
| Mar 31, 2023 | 28.75 Mn |
| Dec 31, 2022 | 26.73 Mn |
| Sep 30, 2022 | 28.19 Mn |
| Jun 30, 2022 | 25.14 Mn |
| Mar 31, 2022 | 31.71 Mn |
| Dec 31, 2021 | 23.84 Mn |
| Sep 30, 2021 | 21.35 Mn |
ProPetro Holding Selling, General & Administrative 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=selling-general-and-administrative&ticker=PUMP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=PUMP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();