Mammoth Energy Services (TUSK) Accumulated Expenses (2015 - 2026)
Mammoth Energy Services' Accumulated Expenses was $19.24 million in Q3 2026, up 9.8% from $17.52 million a year earlier but down 3.2% from the prior quarter.
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Analysis
Mammoth Energy Services (TUSK) Accumulated Expenses (2015 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Mammoth Energy Services came in at $18.34 million, down 28.5% from FY2024.
- Accumulated Expenses shows a three-year compound annual growth rate of -29.5% (FY2022 to FY2025).
- In earlier years, Accumulated Expenses was $25.65 million in FY2024 (-70.8%), $87.95 million in FY2023 (+68.2%) and $52.3 million in FY2022.
- Quarterly Accumulated Expenses has moved between $17.52 million (Q3 2025) and $87.95 million (Q4 2023) over five years.
- Compared with a year earlier, Accumulated Expenses was higher in 1 of the last eight quarters, with an average decline of 29.0%.
- The best year-over-year quarter for Accumulated Expenses over five years was Q4 2023 (growth of 68.2%); the worst was Q4 2024 (a decline of 70.8%).
- Per Business Quant data, TUSK's Accumulated Expenses in the three quarters before Q3 2026 was $19.88 million (Q2 2026), $18.02 million (Q1 2026) and $18.34 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Slb | 73.67 Bn | 71.28 Bn | 1.57 Bn |
| 2 | Baker Hughes | 47.44 Bn | 9.59 Bn | 1.96 Bn |
| 3 | Halliburton | 26.34 Bn | 18.29 Bn | 840.00 Mn |
| 4 | TechnipFMC | 25.18 Bn | 21.15 Bn | 728.70 Mn |
| 5 | Noble | 6.56 Bn | 4.64 Bn | 228.22 Mn |
| 6 | Nov | 6.31 Bn | 1.25 Bn | 439.00 Mn |
| 7 | Weatherford International | 6.11 Bn | 1.89 Bn | 374.00 Mn |
| 8 | Transocean | 5.79 Bn | 3.83 Bn | 348.00 Mn |
| 9 | Valaris | 5.48 Bn | 3.23 Bn | 176.30 Mn |
| 10 | Mammoth Energy Services | 157.38 Mn | -204.01 Mn | 12.94 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 19.24 Mn |
| Jun 30, 2026 | 19.88 Mn |
| Mar 31, 2026 | 18.02 Mn |
| Dec 31, 2025 | 18.34 Mn |
| Sep 30, 2025 | 17.52 Mn |
| Jun 30, 2025 | 21.30 Mn |
| Mar 31, 2025 | 27.95 Mn |
| Dec 31, 2024 | 25.65 Mn |
| Sep 30, 2024 | 35.43 Mn |
| Jun 30, 2024 | 31.15 Mn |
| Mar 31, 2024 | 34.12 Mn |
| Dec 31, 2023 | 87.95 Mn |
| Sep 30, 2023 | 30.51 Mn |
| Jun 30, 2023 | 36.79 Mn |
| Mar 31, 2023 | 38.49 Mn |
| Dec 31, 2022 | 52.30 Mn |
| Sep 30, 2022 | 42.58 Mn |
| Jun 30, 2022 | 55.48 Mn |
| Mar 31, 2022 | 55.75 Mn |
| Dec 31, 2021 | 62.52 Mn |
API Access
Mammoth Energy Services Accumulated 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=accumulated-expenses&ticker=TUSK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=TUSK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();