Mammoth Energy Services (TUSK) Depreciation and Depletion (2015 - 2026)
Mammoth Energy Services (TUSK) recorded Depreciation and Depletion of $4.35 million in Q2 2026, up 94.9% from $2.23 million a year earlier and up 26.8% from the prior quarter.
Mammoth Energy Services (TUSK) Depreciation and Depletion (2015 - 2026) Analysis & Trends
On a TTM basis, Mammoth Energy Services' Depreciation and Depletion came in at $12.17 million as of Jun 30, 2026, up 39.3% year-over-year; for FY2025, it was $8.67 million, down 15.4% from FY2024.
- Annual Depreciation and Depletion has declined for six straight years, with a five-year compound annual growth rate of -37.8% (FY2020 to FY2025).
- Across earlier years, Depreciation and Depletion came in at $10.25 million in FY2024 (-74.9%), $40.89 million in FY2023 (-32.5%), $60.55 million in FY2022 (-20.4%) and $76.09 million in FY2021 (-18.5%).
- The Q2 2026 figure is the highest quarterly Depreciation and Depletion since Q1 2024.
- On a year-over-year basis, Depreciation and Depletion has increased for three consecutive quarters, with an average decline of 8.4% over the last eight quarters.
- Peak year-over-year performance for Depreciation and Depletion in the last five years was growth of 94.9% in Q2 2026, against a decline of 77.2% in Q2 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $3.43 million (Q1 2026), $2.47 million (Q4 2025) and $1.91 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 72.34 Bn | 69.45 Bn | 1.40 Bn | 473.00 Mn |
| 2 | Baker Hughes | 55.59 Bn | 18.87 Bn | 1.58 Bn | - |
| 3 | TechnipFMC | 27.02 Bn | 23.17 Bn | 684.70 Mn | - |
| 4 | Halliburton | 26.54 Bn | 18.29 Bn | 804.00 Mn | - |
| 5 | Nov | 6.72 Bn | 1.51 Bn | 521.00 Mn | - |
| 6 | Noble | 6.50 Bn | 4.43 Bn | 239.27 Mn | - |
| 7 | Transocean | 5.76 Bn | 3.47 Bn | 358.00 Mn | - |
| 8 | Weatherford International | 5.72 Bn | 1.66 Bn | 333.00 Mn | - |
| 9 | Kodiak Gas Services | 5.48 Bn | 5.25 Bn | 246.76 Mn | 72.90 Mn |
| 10 | Mammoth Energy Services | 134.76 Mn | -299.95 Mn | 16.34 Mn | 4.35 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.35 Mn |
| Mar 31, 2026 | 3.43 Mn |
| Dec 31, 2025 | 2.47 Mn |
| Sep 30, 2025 | 1.91 Mn |
| Jun 30, 2025 | 2.23 Mn |
| Mar 31, 2025 | 2.04 Mn |
| Dec 31, 2024 | 2.09 Mn |
| Sep 30, 2024 | 2.38 Mn |
| Jun 30, 2024 | 2.54 Mn |
| Mar 31, 2024 | 6.79 Mn |
| Dec 31, 2023 | 7.79 Mn |
| Sep 30, 2023 | 9.24 Mn |
| Jun 30, 2023 | 11.13 Mn |
| Mar 31, 2023 | 12.73 Mn |
| Dec 31, 2022 | 12.83 Mn |
| Sep 30, 2022 | 14.03 Mn |
| Jun 30, 2022 | 16.76 Mn |
| Mar 31, 2022 | 16.93 Mn |
| Dec 31, 2021 | 17.47 Mn |
| Sep 30, 2021 | 18.18 Mn |
Mammoth Energy Services Depreciation and Depletion 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=depreciation-and-depletion&ticker=TUSK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=TUSK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();