Mammoth Energy Services (TUSK) Depreciation & Amortization - Total (2015 - 2026)
Mammoth Energy Services (TUSK) reported Depreciation & Amortization - Total of $5.5 million for Q3 2026, up 188.1% from $1.91 million a year earlier and up 26.3% from the prior quarter.
Mammoth Energy Services (TUSK) Depreciation & Amortization - Total (2015 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Mammoth Energy Services' Depreciation & Amortization - Total came in at $15.77 million, up 90.8% year-over-year; for FY2025, it was $8.67 million, down 15.4% from FY2024.
- Depreciation & Amortization - Total has declined for six consecutive years, with a five-year compound annual growth rate of -37.8% (FY2020 to FY2025).
- By year, Depreciation & Amortization - Total 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 Q3 2026 figure ranks as the highest quarterly Depreciation & Amortization - Total since Q1 2024.
- Year over year, Depreciation & Amortization - Total has now increased in each of the last four quarters, with growth averaging 24.5% over the last eight quarters.
- The high point for year-over-year Depreciation & Amortization - Total in five years was Q3 2026 (growth of 188.1%); the low point was Q2 2024 (a decline of 77.2%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $4.35 million (Q2 2026), $3.43 million (Q1 2026) and $2.49 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Tot) (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 | 47.30 Mn |
| 10 | Mammoth Energy Services | 157.38 Mn | -204.01 Mn | 12.94 Mn | 5.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 5.50 Mn |
| Jun 30, 2026 | 4.35 Mn |
| Mar 31, 2026 | 3.43 Mn |
| Dec 31, 2025 | 2.49 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 |
Mammoth Energy Services Depreciation & Amortization - Total 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-amortization-total&ticker=TUSK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-total", "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-amortization-total&ticker=TUSK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();