ProPetro Holding (PUMP) Total Non-Current Liabilities (2016 - 2026)
ProPetro Holding's Total Non-Current Liabilities came in at $1.19 billion for Q3 2026, up 164.0% from $450.1 million a year earlier and up 8.1% 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 Q3 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 five consecutive quarters, with growth averaging 50.5% over the last eight 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 $1.1 billion (Q2 2026), $417.84 million (Q1 2026) and $457.65 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 75.03 Bn | 71.48 Bn | 1.57 Bn | 27.03 Bn |
| 2 | Baker Hughes | 48.58 Bn | 10.30 Bn | 1.96 Bn | 36.63 Bn |
| 3 | Halliburton | 26.54 Bn | 18.44 Bn | 840.00 Mn | 13.84 Bn |
| 4 | TechnipFMC | 25.23 Bn | 21.20 Bn | 728.70 Mn | 6.25 Bn |
| 5 | Noble | 6.56 Bn | 4.63 Bn | 228.22 Mn | 2.61 Bn |
| 6 | Nov | 6.35 Bn | 1.23 Bn | 439.00 Mn | 4.62 Bn |
| 7 | Weatherford International | 6.23 Bn | 1.97 Bn | 374.00 Mn | 2.99 Bn |
| 8 | Transocean | 5.84 Bn | 3.88 Bn | 348.00 Mn | 5.31 Bn |
| 9 | Valaris | 5.50 Bn | 3.26 Bn | 176.30 Mn | 1.87 Bn |
| 10 | ProPetro Holding | 825.87 Mn | -934.95 Mn | 85.64 Mn | 1.19 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.19 Bn |
| 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 |
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();