ProPetro Holding (PUMP) Total Non-Current Liabilities (2016 - 2026)
ProPetro Holding's Total Non-Current Liabilities came in at $1.1 billion for Q2 2026, up 176.8% from $397.27 million a year earlier and up 163.1% from the prior quarter.
ProPetro Holding (PUMP) Total Non-Current Liabilities (2016 - 2026) Analysis & Trends
At the end of FY2025, ProPetro Holding's Total Non-Current Liabilities was $457.65 million, up 14.7% from FY2024.
- Total Non-Current Liabilities carries a three-year compound annual growth rate of 6.2% (FY2022 to FY2025).
- Going back by year, Total Non-Current Liabilities was $399.07 million in FY2024 (-16.6%), $478.74 million in FY2023 (+25.4%) and $381.75 million in FY2022.
- The Q2 2026 figure represents the highest quarterly Total Non-Current Liabilities in data going back to Q4 2016.
- Year-over-year, Total Non-Current Liabilities has increased for four consecutive quarters, with growth averaging 34.3% over the last seven quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q2 2026 (growth of 176.8%), and the weakest in Q2 2025 (a decline of 24.4%).
- Business Quant data shows PUMP's Total Non-Current Liabilities at $417.84 million (Q1 2026), $457.65 million (Q4 2025) and $450.1 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 76.39 Bn | 73.50 Bn | 1.40 Bn | 26.35 Bn |
| 2 | Baker Hughes | 56.70 Bn | 19.98 Bn | 1.58 Bn | 31.14 Bn |
| 3 | TechnipFMC | 27.74 Bn | 23.88 Bn | 684.70 Mn | 6.73 Bn |
| 4 | Halliburton | 27.03 Bn | 18.79 Bn | 804.00 Mn | 14.12 Bn |
| 5 | Nov | 6.97 Bn | 1.76 Bn | 521.00 Mn | 4.69 Bn |
| 6 | Noble | 6.81 Bn | 4.74 Bn | 239.27 Mn | 2.51 Bn |
| 7 | Weatherford International | 5.95 Bn | 1.88 Bn | 333.00 Mn | 3.10 Bn |
| 8 | Transocean | 5.90 Bn | 3.61 Bn | 358.00 Mn | 5.59 Bn |
| 9 | Valaris | 5.52 Bn | 3.13 Bn | 123.70 Mn | 1.89 Bn |
| 10 | ProPetro Holding | 1.14 Bn | 34.89 Mn | 71.82 Mn | 1.10 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.10 Bn |
| Mar 31, 2026 | 417.84 Mn |
| Dec 31, 2025 | 457.65 Mn |
| Sep 30, 2025 | 450.10 Mn |
| Jun 30, 2025 | 397.27 Mn |
| Mar 31, 2025 | 411.71 Mn |
| Dec 31, 2024 | 399.07 Mn |
| Sep 30, 2024 | 438.15 Mn |
| Jun 30, 2024 | 525.58 Mn |
| Mar 31, 2024 | 222.31 Mn |
| Dec 31, 2023 | 478.74 Mn |
| Dec 31, 2022 | 381.75 Mn |
| Dec 31, 2019 | 466.81 Mn |
| Sep 30, 2019 | 492.01 Mn |
| Jun 30, 2019 | 527.07 Mn |
| Mar 31, 2019 | 539.46 Mn |
| Dec 31, 2018 | 477.04 Mn |
| Sep 30, 2018 | 400.37 Mn |
| Jun 30, 2018 | 427.59 Mn |
| Mar 31, 2018 | 399.50 Mn |
ProPetro Holding Total Non-Current 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-non-current-liabilities&ticker=PUMP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=PUMP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();