ProPetro Holding (PUMP) Total Liabilities (2016 - 2026)
ProPetro Holding (PUMP) recorded Total Liabilities of $1.1 billion in Q2 2026, up 172.1% from $405.17 million a year earlier and up 162.0% from the prior quarter.
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Analysis
ProPetro Holding (PUMP) Total Liabilities (2016 - 2026) Analysis & Trends
At the end of FY2025, ProPetro Holding reported Total Liabilities of $461.05 million, up 13.2% from FY2024.
- Annual Total Liabilities has a five-year compound annual growth rate of 20.7% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $407.37 million in FY2024 (-15.5%), $481.92 million in FY2023 (+26.2%), $381.75 million in FY2022 (+62.5%) and $234.93 million in FY2021 (+30.5%).
- The Q2 2026 figure is the highest quarterly Total Liabilities in data going back to Q4 2016.
- On a year-over-year basis, Total Liabilities has increased for four consecutive quarters, with growth averaging 29.0% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 172.1% in Q2 2026, against a decline of 45.2% in Q1 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $420.74 million (Q1 2026), $461.05 million (Q4 2025) and $453.4 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 76.39 Bn | 73.50 Bn | 1.40 Bn | 28.28 Bn |
| 2 | Baker Hughes | 56.70 Bn | 19.98 Bn | 1.58 Bn | 32.54 Bn |
| 3 | TechnipFMC | 27.74 Bn | 23.88 Bn | 684.70 Mn | 7.09 Bn |
| 4 | Halliburton | 27.03 Bn | 18.79 Bn | 804.00 Mn | 14.78 Bn |
| 5 | Nov | 6.97 Bn | 1.76 Bn | 521.00 Mn | 4.94 Bn |
| 6 | Noble | 6.81 Bn | 4.74 Bn | 239.27 Mn | 2.76 Bn |
| 7 | Weatherford International | 5.95 Bn | 1.88 Bn | 333.00 Mn | 3.31 Bn |
| 8 | Transocean | 5.90 Bn | 3.61 Bn | 358.00 Mn | 6.80 Bn |
| 9 | Valaris | 5.52 Bn | 3.13 Bn | 123.70 Mn | 2.23 Bn |
| 10 | ProPetro Holding | 1.14 Bn | 34.89 Mn | 71.82 Mn | 1.10 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.10 Bn |
| Mar 31, 2026 | 420.74 Mn |
| Dec 31, 2025 | 461.05 Mn |
| Sep 30, 2025 | 453.40 Mn |
| Jun 30, 2025 | 405.17 Mn |
| Mar 31, 2025 | 419.71 Mn |
| Dec 31, 2024 | 407.37 Mn |
| Sep 30, 2024 | 447.25 Mn |
| Jun 30, 2024 | 536.48 Mn |
| Mar 31, 2024 | 225.49 Mn |
| Dec 31, 2023 | 481.92 Mn |
| Sep 30, 2023 | 452.99 Mn |
| Jun 30, 2023 | 471.95 Mn |
| Mar 31, 2023 | 411.23 Mn |
| Dec 31, 2022 | 381.75 Mn |
| Sep 30, 2022 | 313.07 Mn |
| Jun 30, 2022 | 518.75 Mn |
| Mar 31, 2022 | 237.24 Mn |
| Dec 31, 2021 | 234.93 Mn |
| Sep 30, 2021 | 255.94 Mn |
API Access
ProPetro Holding Total Liabilities 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=total-liabilities&ticker=PUMP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=PUMP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();