Mammoth Energy Services (TUSK) Total Non-Current Liabilities (2015 - 2026)
Mammoth Energy Services (TUSK) recorded Total Non-Current Liabilities of $80.8 million in Q2 2026, down 18.8% from $99.44 million a year earlier but up 2.3% from the prior quarter.
Mammoth Energy Services (TUSK) Total Non-Current Liabilities (2015 - 2026) Analysis & Trends
At the end of FY2025, Mammoth Energy Services reported Total Non-Current Liabilities of $73.85 million, down 41.8% from FY2024.
- Annual Total Non-Current Liabilities has declined for three straight years, with a five-year compound annual growth rate of -22.0% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $126.98 million in FY2024 (-45.8%), $234.24 million in FY2023 (-9.2%), $258.08 million in FY2022 (+1.6%) and $253.95 million in FY2021 (-1.0%).
- Quarterly Total Non-Current Liabilities has ranged from $73.85 million in Q4 2025 to $258.08 million in Q4 2022 over the past five years.
- On a year-over-year basis, Total Non-Current Liabilities has declined for 13 consecutive quarters, with an average decline of 34.9% over the last eight quarters.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 10.8% in Q1 2022, against a decline of 50.1% in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $79.02 million (Q1 2026), $73.85 million (Q4 2025) and $84.79 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 77.80 Bn | 73.73 Bn | 1.40 Bn | 26.35 Bn |
| 2 | Baker Hughes | 55.02 Bn | 18.12 Bn | 1.58 Bn | 31.14 Bn |
| 3 | Halliburton | 29.06 Bn | 20.77 Bn | 804.00 Mn | 13.71 Bn |
| 4 | TechnipFMC | 27.62 Bn | 23.76 Bn | 684.70 Mn | 6.28 Bn |
| 5 | Noble | 7.54 Bn | 5.47 Bn | 239.27 Mn | 2.51 Bn |
| 6 | Transocean | 7.21 Bn | 4.92 Bn | 358.00 Mn | 5.59 Bn |
| 7 | Nov | 7.03 Bn | 1.76 Bn | 521.00 Mn | 4.69 Bn |
| 8 | Valaris | 6.76 Bn | 4.38 Bn | 123.70 Mn | 1.87 Bn |
| 9 | Weatherford International | 6.20 Bn | 1.94 Bn | 374.00 Mn | 2.99 Bn |
| 10 | Mammoth Energy Services | 128.60 Mn | -306.11 Mn | 16.34 Mn | 83.25 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 83.25 Mn |
| Mar 31, 2026 | 81.78 Mn |
| Dec 31, 2025 | 76.58 Mn |
| Sep 30, 2025 | 87.45 Mn |
| Jun 30, 2025 | 102.04 Mn |
| Mar 31, 2025 | 114.50 Mn |
| Dec 31, 2024 | 131.00 Mn |
| Sep 30, 2024 | 170.52 Mn |
| Jun 30, 2024 | 159.22 Mn |
| Mar 31, 2024 | 176.32 Mn |
| Dec 31, 2023 | 233.66 Mn |
| Sep 30, 2023 | 210.82 Mn |
| Jun 30, 2023 | 214.85 Mn |
| Mar 31, 2023 | 247.95 Mn |
| Dec 31, 2022 | 246.58 Mn |
| Sep 30, 2022 | 245.24 Mn |
| Jun 30, 2022 | 240.29 Mn |
| Mar 31, 2022 | 243.24 Mn |
| Dec 31, 2021 | 245.98 Mn |
| Sep 30, 2021 | 237.24 Mn |
Mammoth Energy Services 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=TUSK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "TUSK", "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=TUSK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();