Mammoth Energy Services (TUSK) Selling, General & Administrative (2015 - 2026)
Mammoth Energy Services (TUSK) reported Selling, General & Administrative of $4.23 million for Q2 2026, down 14.6% from $4.96 million a year earlier but up 17.7% from the prior quarter.
Mammoth Energy Services (TUSK) Selling, General & Administrative (2015 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Mammoth Energy Services' Selling, General & Administrative came in at $17.57 million, down 18.3% year-over-year; for FY2025, it came in at $19.57 million, down 82.9% from FY2024.
- Selling, General & Administrative has a five-year compound annual growth rate of -21.7% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $114.47 million in FY2024 (+205.6%), $37.46 million in FY2023 (-5.3%), $39.55 million in FY2022 (-49.2%) and $77.86 million in FY2021 (+17.2%).
- Five-year quarterly Selling, General & Administrative spans a low of $3.6 million in Q1 2026 and a high of $95.28 million in Q2 2024.
- Year over year, Selling, General & Administrative has now declined in each of the last eight quarters, with an average decline of 35.6% over the last eight quarters.
- The high point for year-over-year Selling, General & Administrative in five years was Q2 2024 (growth of 820.0%); the low point was Q2 2025 (a decline of 94.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $3.6 million (Q1 2026), $4.58 million (Q4 2025) and $5.16 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 72.34 Bn | 69.45 Bn | 1.40 Bn | 84.00 Mn |
| 2 | Baker Hughes | 55.59 Bn | 18.87 Bn | 1.58 Bn | 569.00 Mn |
| 3 | TechnipFMC | 27.02 Bn | 23.17 Bn | 684.70 Mn | 169.30 Mn |
| 4 | Halliburton | 26.54 Bn | 18.29 Bn | 804.00 Mn | 75.00 Mn |
| 5 | Nov | 6.72 Bn | 1.51 Bn | 521.00 Mn | 328.00 Mn |
| 6 | Noble | 6.50 Bn | 4.43 Bn | 239.27 Mn | 26.94 Mn |
| 7 | Transocean | 5.76 Bn | 3.47 Bn | 358.00 Mn | 56.00 Mn |
| 8 | Weatherford International | 5.72 Bn | 1.66 Bn | 333.00 Mn | 172.00 Mn |
| 9 | Kodiak Gas Services | 5.48 Bn | 5.25 Bn | 246.76 Mn | 40.92 Mn |
| 10 | Mammoth Energy Services | 134.76 Mn | -299.95 Mn | 16.34 Mn | 4.23 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.23 Mn |
| Mar 31, 2026 | 3.60 Mn |
| Dec 31, 2025 | 4.58 Mn |
| Sep 30, 2025 | 5.16 Mn |
| Jun 30, 2025 | 4.96 Mn |
| Mar 31, 2025 | 4.12 Mn |
| Dec 31, 2024 | 5.64 Mn |
| Sep 30, 2024 | 6.78 Mn |
| Jun 30, 2024 | 95.28 Mn |
| Mar 31, 2024 | 8.78 Mn |
| Dec 31, 2023 | 8.31 Mn |
| Sep 30, 2023 | 10.41 Mn |
| Jun 30, 2023 | 10.36 Mn |
| Mar 31, 2023 | 8.38 Mn |
| Dec 31, 2022 | 12.99 Mn |
| Sep 30, 2022 | 9.69 Mn |
| Jun 30, 2022 | 8.21 Mn |
| Mar 31, 2022 | 8.67 Mn |
| Dec 31, 2021 | 8.93 Mn |
| Sep 30, 2021 | 41.43 Mn |
Mammoth Energy Services Selling, General & Administrative 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=selling-general-and-administrative&ticker=TUSK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=TUSK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();