Mammoth Energy Services (TUSK) Non-Current Assets (2015 - 2026)
Mammoth Energy Services (TUSK) recorded Non-Current Assets of $199.96 million in Q2 2026, up 61.2% from $124.06 million a year earlier and up 25.0% from the prior quarter.
Mammoth Energy Services (TUSK) Non-Current Assets (2015 - 2026) Analysis & Trends
At the end of FY2025, Mammoth Energy Services reported Non-Current Assets of $157.75 million, down 19.3% from FY2024.
- Annual Non-Current Assets has declined for seven straight years, with a five-year compound annual growth rate of -15.2% (FY2020 to FY2025).
- Across earlier years, Non-Current Assets came in at $195.44 million in FY2024 (-3.0%), $201.55 million in FY2023 (-11.6%), $227.99 million in FY2022 (-18.6%) and $280.11 million in FY2021 (-22.2%).
- The Q2 2026 figure is the highest quarterly Non-Current Assets since Q4 2023.
- On a year-over-year basis, Non-Current Assets rose in 1 of the last eight quarters, with an average decline of 6.1%.
- Peak year-over-year performance for Non-Current Assets in the last five years was growth of 61.2% in Q2 2026, against a decline of 34.7% in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $159.95 million (Q1 2026), $157.75 million (Q4 2025) and $137.74 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 72.31 Bn | 69.42 Bn | 1.40 Bn | 35.29 Bn |
| 2 | Baker Hughes | 54.50 Bn | 17.77 Bn | 1.58 Bn | 22.04 Bn |
| 3 | TechnipFMC | 26.69 Bn | 22.84 Bn | 684.70 Mn | 4.47 Bn |
| 4 | Halliburton | 26.49 Bn | 18.25 Bn | 804.00 Mn | 13.95 Bn |
| 5 | Nov | 6.70 Bn | 1.49 Bn | 521.00 Mn | 5.41 Bn |
| 6 | Noble | 6.66 Bn | 4.59 Bn | 239.27 Mn | 6.06 Bn |
| 7 | Transocean | 5.85 Bn | 3.56 Bn | 358.00 Mn | 13.26 Bn |
| 8 | Weatherford International | 5.65 Bn | 1.58 Bn | 333.00 Mn | 1.80 Bn |
| 9 | Valaris | 5.44 Bn | 3.06 Bn | 123.70 Mn | 4.25 Bn |
| 10 | Mammoth Energy Services | 136.68 Mn | -298.02 Mn | 16.34 Mn | 199.96 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 199.96 Mn |
| Mar 31, 2026 | 159.95 Mn |
| Dec 31, 2025 | 157.75 Mn |
| Sep 30, 2025 | 137.74 Mn |
| Jun 30, 2025 | 124.06 Mn |
| Mar 31, 2025 | 187.78 Mn |
| Dec 31, 2024 | 195.44 Mn |
| Sep 30, 2024 | 187.79 Mn |
| Jun 30, 2024 | 190.02 Mn |
| Mar 31, 2024 | 194.17 Mn |
| Dec 31, 2023 | 201.55 Mn |
| Sep 30, 2023 | 203.72 Mn |
| Jun 30, 2023 | 215.72 Mn |
| Mar 31, 2023 | 223.21 Mn |
| Dec 31, 2022 | 227.99 Mn |
| Sep 30, 2022 | 225.50 Mn |
| Jun 30, 2022 | 241.44 Mn |
| Mar 31, 2022 | 260.25 Mn |
| Dec 31, 2021 | 280.11 Mn |
| Sep 30, 2021 | 302.47 Mn |
Mammoth Energy Services Non-Current Assets 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=non-current-assets&ticker=TUSK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=TUSK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();