Nine Energy Service (NINE) Total Liabilities (2016 - 2026)
Nine Energy Service (NINE) recorded Total Liabilities of $190.05 million in Q3 2026, down 56.5% from $436.57 million a year earlier but up 1.0% from the prior quarter.
Nine Energy Service (NINE) Total Liabilities (2016 - 2026) Analysis & Trends
At the end of FY2025, Nine Energy Service reported Total Liabilities of $454.42 million, up 6.6% from FY2024.
- Annual Total Liabilities has a five-year compound annual growth rate of 1.5% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $426.14 million in FY2024 (-2.6%), $437.61 million in FY2023 (-2.8%), $450.34 million in FY2022 (+7.0%) and $420.88 million in FY2021 (-0.3%).
- Quarterly Total Liabilities has ranged from $188.09 million in Q2 2026 to $454.42 million in Q4 2025 over the past five years.
- On a year-over-year basis, Total Liabilities has declined for three consecutive quarters, with an average decline of 19.3% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 9.3% in Q2 2022, against a decline of 57.5% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $188.09 million (Q2 2026), $192.06 million (Q1 2026) and $454.42 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 76.30 Bn | 73.91 Bn | 1.57 Bn | 28.99 Bn |
| 2 | Baker Hughes | 49.10 Bn | 11.25 Bn | 1.96 Bn | 38.50 Bn |
| 3 | Halliburton | 27.94 Bn | 19.88 Bn | 840.00 Mn | 14.91 Bn |
| 4 | TechnipFMC | 25.83 Bn | 21.81 Bn | 728.70 Mn | 7.10 Bn |
| 5 | Noble | 6.97 Bn | 5.04 Bn | 228.22 Mn | 2.87 Bn |
| 6 | Nov | 6.45 Bn | 1.39 Bn | 439.00 Mn | 4.92 Bn |
| 7 | Weatherford International | 6.27 Bn | 2.04 Bn | 374.00 Mn | 3.34 Bn |
| 8 | Transocean | 6.19 Bn | 4.23 Bn | 348.00 Mn | 6.61 Bn |
| 9 | Valaris | 5.84 Bn | 3.59 Bn | 176.30 Mn | 2.21 Bn |
| 10 | Nine Energy Service | 101.42 Mn | 38.82 Mn | 20.57 Mn | 190.05 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 190.05 Mn |
| Jun 30, 2026 | 188.09 Mn |
| Mar 31, 2026 | 192.06 Mn |
| Dec 31, 2025 | 454.42 Mn |
| Sep 30, 2025 | 436.57 Mn |
| Jun 30, 2025 | 442.90 Mn |
| Mar 31, 2025 | 431.29 Mn |
| Dec 31, 2024 | 426.14 Mn |
| Sep 30, 2024 | 410.79 Mn |
| Jun 30, 2024 | 431.44 Mn |
| Mar 31, 2024 | 423.72 Mn |
| Dec 31, 2023 | 437.61 Mn |
| Sep 30, 2023 | 412.96 Mn |
| Jun 30, 2023 | 451.89 Mn |
| Mar 31, 2023 | 438.04 Mn |
| Dec 31, 2022 | 450.34 Mn |
| Sep 30, 2022 | 439.56 Mn |
| Jun 30, 2022 | 442.06 Mn |
| Mar 31, 2022 | 436.24 Mn |
| Dec 31, 2021 | 420.88 Mn |
Nine Energy Service 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=NINE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=NINE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();