Nine Energy Service (NINE) Non Operating Interest Expenses (2017 - 2026)
Nine Energy Service's Non Operating Interest Expenses came in at $1.91 million for Q3 2026, down 86.1% from $13.71 million a year earlier and down 21.2% from the prior quarter.
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Analysis
Nine Energy Service (NINE) Non Operating Interest Expenses (2017 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Nine Energy Service reported Non Operating Interest Expenses of $31.93 million, down 41.1% year-over-year; for FY2025, it came in at $55.21 million, up 7.6% from FY2024.
- Non Operating Interest Expenses has increased in each of the last three years, with a five-year compound annual growth rate of 8.5% (FY2020 to FY2025).
- Going back by year, Non Operating Interest Expenses was $51.32 million in FY2024 (+0.4%), $51.12 million in FY2023 (+57.4%), $32.49 million in FY2022 (-0.1%) and $32.53 million in FY2021 (-11.5%).
- The Q3 2026 figure represents the lowest quarterly Non Operating Interest Expenses since Q3 2018.
- Year-over-year, Non Operating Interest Expenses increased in five of the last seven quarters, with an average decline of 19.8%.
- The fastest year-over-year change in Non Operating Interest Expenses over five years came in Q2 2023 (growth of 59.8%), and the weakest in Q3 2026 (a decline of 86.1%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 76.30 Bn | 73.91 Bn | 1.57 Bn | 133.00 Mn |
| 2 | Baker Hughes | 49.10 Bn | 11.25 Bn | 1.96 Bn | - |
| 3 | Halliburton | 27.94 Bn | 19.88 Bn | 840.00 Mn | - |
| 4 | TechnipFMC | 25.83 Bn | 21.81 Bn | 728.70 Mn | 12.40 Mn |
| 5 | Noble | 6.97 Bn | 5.04 Bn | 228.22 Mn | 34.99 Mn |
| 6 | Nov | 6.45 Bn | 1.39 Bn | 439.00 Mn | 21.00 Mn |
| 7 | Weatherford International | 6.27 Bn | 2.04 Bn | 374.00 Mn | - |
| 8 | Transocean | 6.19 Bn | 4.23 Bn | 348.00 Mn | 134.00 Mn |
| 9 | Valaris | 5.84 Bn | 3.59 Bn | 176.30 Mn | - |
| 10 | Nine Energy Service | 101.42 Mn | 38.82 Mn | 20.57 Mn | 1.91 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.91 Mn |
| Jun 30, 2026 | 2.42 Mn |
| Dec 31, 2025 | 13.89 Mn |
| Sep 30, 2025 | 13.71 Mn |
| Jun 30, 2025 | 14.73 Mn |
| Mar 31, 2025 | 12.88 Mn |
| Dec 31, 2024 | 12.87 Mn |
| Sep 30, 2024 | 12.88 Mn |
| Jun 30, 2024 | 12.78 Mn |
| Mar 31, 2024 | 12.79 Mn |
| Dec 31, 2023 | 12.81 Mn |
| Sep 30, 2023 | 12.86 Mn |
| Jun 30, 2023 | 12.99 Mn |
| Mar 31, 2023 | 12.45 Mn |
| Dec 31, 2022 | 8.15 Mn |
| Sep 30, 2022 | 8.13 Mn |
| Jun 30, 2022 | 8.13 Mn |
| Mar 31, 2022 | 8.08 Mn |
| Dec 31, 2021 | 7.99 Mn |
| Sep 30, 2021 | 7.97 Mn |
API Access
Nine Energy Service 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=NINE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "NINE", "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=NINE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();