ProPetro Holding (PUMP) Non Operating Interest Expenses (2016 - 2026)
ProPetro Holding (PUMP) posted Non Operating Interest Expenses of $3.01 million for Q2 2026, up 66.0% from $1.81 million a year earlier and up 12.9% from the prior quarter.
ProPetro Holding (PUMP) Non Operating Interest Expenses (2016 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Non Operating Interest Expenses at ProPetro Holding was $10.37 million, up 40.8% year-over-year; for FY2025, it was $8.24 million, up 5.4% from FY2024.
- Annual Non Operating Interest Expenses has increased for four consecutive years, with a five-year compound annual growth rate of 28.2% (FY2020 to FY2025).
- In prior years, ProPetro Holding's Non Operating Interest Expenses was $7.82 million in FY2024 (+47.2%), $5.31 million in FY2023 (+230.7%), $1.61 million in FY2022 (+161.4%) and $614,000 in FY2021 (-74.2%).
- The Q2 2026 figure stands as the highest quarterly Non Operating Interest Expenses since Q1 2017.
- On a year-over-year basis, Non Operating Interest Expenses has increased in each of the last four quarters, with growth averaging 24.0% over the last eight quarters.
- The strongest year-over-year quarter for Non Operating Interest Expenses in the past five years was Q1 2023, with growth of 397.8%; the weakest was Q1 2022, with a decline of 23.9%.
- According to Business Quant data, Non Operating Interest Expenses for the three prior quarters was $2.66 million (Q1 2026), $2.59 million (Q4 2025) and $2.11 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 72.31 Bn | 69.42 Bn | 1.40 Bn | 128.00 Mn |
| 2 | Baker Hughes | 54.50 Bn | 17.77 Bn | 1.58 Bn | - |
| 3 | TechnipFMC | 26.69 Bn | 22.84 Bn | 684.70 Mn | 10.70 Mn |
| 4 | Halliburton | 26.49 Bn | 18.25 Bn | 804.00 Mn | - |
| 5 | Nov | 6.70 Bn | 1.49 Bn | 521.00 Mn | 21.00 Mn |
| 6 | Noble | 6.66 Bn | 4.59 Bn | 239.27 Mn | 36.20 Mn |
| 7 | Transocean | 5.85 Bn | 3.56 Bn | 358.00 Mn | -20.00 Mn |
| 8 | Weatherford International | 5.65 Bn | 1.58 Bn | 333.00 Mn | - |
| 9 | Valaris | 5.44 Bn | 3.06 Bn | 123.70 Mn | - |
| 10 | ProPetro Holding | 1.09 Bn | -22.84 Mn | 71.82 Mn | 3.01 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.01 Mn |
| Mar 31, 2026 | 2.66 Mn |
| Dec 31, 2025 | 2.59 Mn |
| Sep 30, 2025 | 2.11 Mn |
| Jun 30, 2025 | 1.81 Mn |
| Mar 31, 2025 | 1.73 Mn |
| Dec 31, 2024 | 1.88 Mn |
| Sep 30, 2024 | 1.94 Mn |
| Jun 30, 2024 | 1.97 Mn |
| Mar 31, 2024 | 2.03 Mn |
| Dec 31, 2023 | 2.29 Mn |
| Sep 30, 2023 | 1.17 Mn |
| Jun 30, 2023 | 1.18 Mn |
| Mar 31, 2023 | 667,000.00 |
| Dec 31, 2022 | 565,000.00 |
| Sep 30, 2022 | 237,000.00 |
| Jun 30, 2022 | 669,000.00 |
| Mar 31, 2022 | 134,000.00 |
| Dec 31, 2021 | 137,000.00 |
| Sep 30, 2021 | 143,000.00 |
ProPetro Holding Non Operating Interest Expenses 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=non-operating-interest-expenses&ticker=PUMP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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=non-operating-interest-expenses&ticker=PUMP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();