Mammoth Energy Services (TUSK) Operating Expenses (2015 - 2026)
Mammoth Energy Services' Operating Expenses came in at $23.43 million for Q2 2026, down 52.7% from $49.48 million a year earlier but up 2.3% from the prior quarter.
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Analysis
Mammoth Energy Services (TUSK) Operating Expenses (2015 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Mammoth Energy Services reported Operating Expenses of $79.13 million, down 14.0% year-over-year; for FY2025, it was $101.73 million, down 38.7% from FY2024.
- Operating Expenses has declined in each of the last three years, with a five-year compound annual growth rate of -26.1% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $165.96 million in FY2024 (-49.1%), $326.18 million in FY2023 (-13.8%), $378.5 million in FY2022 (+7.5%) and $352 million in FY2021 (-23.9%).
- The five-year range for quarterly Operating Expenses is $6.58 million (Q4 2024) to $115.15 million (Q3 2021).
- Year-over-year, Operating Expenses increased in three of the last eight quarters, with an average decline of 28.1%.
- The fastest year-over-year change in Operating Expenses over five years came in Q1 2026 (growth of 79.0%), and the weakest in Q4 2024 (a decline of 89.0%).
- Business Quant data shows TUSK's Operating Expenses at $22.9 million (Q1 2026), $9 million (Q4 2025) and $23.81 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 72.31 Bn | 69.42 Bn | 1.40 Bn | 324.00 Mn |
| 2 | Baker Hughes | 54.50 Bn | 17.77 Bn | 1.58 Bn | 723.00 Mn |
| 3 | TechnipFMC | 26.69 Bn | 22.84 Bn | 684.70 Mn | 2.28 Bn |
| 4 | Halliburton | 26.49 Bn | 18.25 Bn | 804.00 Mn | 4.94 Bn |
| 5 | Nov | 6.70 Bn | 1.49 Bn | 521.00 Mn | 1.04 Bn |
| 6 | Noble | 6.66 Bn | 4.59 Bn | 239.27 Mn | 689.21 Mn |
| 7 | Transocean | 5.85 Bn | 3.56 Bn | 358.00 Mn | 812.00 Mn |
| 8 | Weatherford International | 5.65 Bn | 1.58 Bn | 333.00 Mn | 998.00 Mn |
| 9 | Valaris | 5.44 Bn | 3.06 Bn | 123.70 Mn | 498.70 Mn |
| 10 | Mammoth Energy Services | 136.68 Mn | -298.02 Mn | 16.34 Mn | 23.43 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 23.43 Mn |
| Mar 31, 2026 | 22.90 Mn |
| Dec 31, 2025 | 9.00 Mn |
| Sep 30, 2025 | 23.81 Mn |
| Jun 30, 2025 | 49.48 Mn |
| Mar 31, 2025 | 12.79 Mn |
| Dec 31, 2024 | 6.58 Mn |
| Sep 30, 2024 | 23.18 Mn |
| Jun 30, 2024 | 112.01 Mn |
| Mar 31, 2024 | 55.22 Mn |
| Dec 31, 2023 | 59.60 Mn |
| Sep 30, 2023 | 73.82 Mn |
| Jun 30, 2023 | 82.79 Mn |
| Mar 31, 2023 | 109.97 Mn |
| Dec 31, 2022 | 103.48 Mn |
| Sep 30, 2022 | 103.38 Mn |
| Jun 30, 2022 | 91.53 Mn |
| Mar 31, 2022 | 80.12 Mn |
| Dec 31, 2021 | 64.16 Mn |
| Sep 30, 2021 | 115.15 Mn |
API Access
Mammoth Energy Services Operating 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=operating-expenses&ticker=TUSK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=TUSK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();