Mammoth Energy Services (TUSK) Total Current Liabilities (2015 - 2026)
Mammoth Energy Services (TUSK) reported Total Current Liabilities of $75.51 million for Q2 2026, down 21.4% from $96.1 million a year earlier but up 0.3% from the prior quarter.
Mammoth Energy Services (TUSK) Total Current Liabilities (2015 - 2026) Analysis & Trends
At the end of FY2025, Mammoth Energy Services posted Total Current Liabilities of $70.02 million, down 38.9% from FY2024.
- Total Current Liabilities has declined for three consecutive years, with a five-year compound annual growth rate of -11.4% (FY2020 to FY2025).
- By year, Total Current Liabilities came in at $114.51 million in FY2024 (-37.3%), $182.55 million in FY2023 (-23.0%), $237.21 million in FY2022 (+57.9%) and $150.23 million in FY2021 (+16.8%).
- Five-year quarterly Total Current Liabilities spans a low of $70.02 million in Q4 2025 and a high of $237.72 million in Q1 2023.
- Year over year, Total Current Liabilities has now declined in each of the last 12 quarters, with an average decline of 23.9% over the last eight quarters.
- The high point for year-over-year Total Current Liabilities in five years was Q1 2023 (growth of 64.3%); the low point was Q2 2024 (a decline of 49.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $75.27 million (Q1 2026), $70.02 million (Q4 2025) and $80.16 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 72.31 Bn | 69.42 Bn | 1.40 Bn | 14.07 Bn |
| 2 | Baker Hughes | 54.50 Bn | 17.77 Bn | 1.58 Bn | 14.60 Bn |
| 3 | TechnipFMC | 26.69 Bn | 22.84 Bn | 684.70 Mn | 5.46 Bn |
| 4 | Halliburton | 26.49 Bn | 18.25 Bn | 804.00 Mn | 5.89 Bn |
| 5 | Nov | 6.70 Bn | 1.49 Bn | 521.00 Mn | 2.39 Bn |
| 6 | Noble | 6.66 Bn | 4.59 Bn | 239.27 Mn | 613.82 Mn |
| 7 | Transocean | 5.85 Bn | 3.56 Bn | 358.00 Mn | 1.20 Bn |
| 8 | Weatherford International | 5.65 Bn | 1.58 Bn | 333.00 Mn | 1.41 Bn |
| 9 | Valaris | 5.44 Bn | 3.06 Bn | 123.70 Mn | 774.80 Mn |
| 10 | Mammoth Energy Services | 136.68 Mn | -298.02 Mn | 16.34 Mn | 75.51 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 75.51 Mn |
| Mar 31, 2026 | 75.27 Mn |
| Dec 31, 2025 | 70.02 Mn |
| Sep 30, 2025 | 80.16 Mn |
| Jun 30, 2025 | 96.10 Mn |
| Mar 31, 2025 | 105.03 Mn |
| Dec 31, 2024 | 114.51 Mn |
| Sep 30, 2024 | 113.44 Mn |
| Jun 30, 2024 | 103.26 Mn |
| Mar 31, 2024 | 123.32 Mn |
| Dec 31, 2023 | 182.55 Mn |
| Sep 30, 2023 | 132.40 Mn |
| Jun 30, 2023 | 205.15 Mn |
| Mar 31, 2023 | 237.72 Mn |
| Dec 31, 2022 | 237.21 Mn |
| Sep 30, 2022 | 142.47 Mn |
| Jun 30, 2022 | 144.92 Mn |
| Mar 31, 2022 | 144.68 Mn |
| Dec 31, 2021 | 150.23 Mn |
| Sep 30, 2021 | 146.09 Mn |
Mammoth Energy Services Total 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-current-liabilities&ticker=TUSK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=TUSK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();