Mammoth Energy Services (TUSK) Intangibles (2015 - 2023)
Mammoth Energy Services' Intangibles came in at $913,000 for Q4 2023, down 48.8% from $1.78 million a year earlier and down 17.5% from the prior quarter.
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Analysis
Mammoth Energy Services (TUSK) Intangibles (2015 - 2023) Analysis & Trends
Going back to Q3 2015, Mammoth Energy Services' Intangibles data covers 34 quarters.
- Intangibles has declined in each of the last nine years, with a five-year compound annual growth rate of -34.8% (FY2018 to FY2023).
- Going back by year, Intangibles was $1.78 million in FY2022 (-30.4%), $2.56 million in FY2021 (-46.4%), $4.77 million in FY2020 (-17.5%) and $5.79 million in FY2019 (-25.4%).
- The Q4 2023 figure represents the lowest quarterly Intangibles in data going back to Q3 2015.
- Year-over-year, Intangibles has declined for 30 consecutive quarters, with an average decline of 41.5% over the last eight quarters.
- Across the past five years, year-over-year decline in Intangibles ran from 17.5% in Q4 2020 to 49.1% in Q2 2022.
- Business Quant data shows TUSK's Intangibles at $1.11 million (Q3 2023), $1.39 million (Q2 2023) and $1.59 million (Q1 2023) in the three quarters before Q4 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 72.31 Bn | 69.42 Bn | 1.40 Bn | 4.88 Bn |
| 2 | Baker Hughes | 54.50 Bn | 17.77 Bn | 1.58 Bn | 4.00 Bn |
| 3 | TechnipFMC | 26.69 Bn | 22.84 Bn | 684.70 Mn | 381.10 Mn |
| 4 | Halliburton | 26.49 Bn | 18.25 Bn | 804.00 Mn | - |
| 5 | Nov | 6.70 Bn | 1.49 Bn | 521.00 Mn | 438.00 Mn |
| 6 | Noble | 6.66 Bn | 4.59 Bn | 239.27 Mn | - |
| 7 | Transocean | 5.85 Bn | 3.56 Bn | 358.00 Mn | - |
| 8 | Weatherford International | 5.65 Bn | 1.58 Bn | 333.00 Mn | 265.00 Mn |
| 9 | Valaris | 5.44 Bn | 3.06 Bn | 123.70 Mn | - |
| 10 | Mammoth Energy Services | 136.68 Mn | -298.02 Mn | 16.34 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 913,000.00 |
| Sep 30, 2023 | 1.11 Mn |
| Jun 30, 2023 | 1.39 Mn |
| Mar 31, 2023 | 1.59 Mn |
| Dec 31, 2022 | 1.78 Mn |
| Sep 30, 2022 | 1.98 Mn |
| Jun 30, 2022 | 2.17 Mn |
| Mar 31, 2022 | 2.37 Mn |
| Dec 31, 2021 | 2.56 Mn |
| Sep 30, 2021 | 3.47 Mn |
| Jun 30, 2021 | 4.27 Mn |
| Mar 31, 2021 | 4.52 Mn |
| Dec 31, 2020 | 4.77 Mn |
| Sep 30, 2020 | 5.03 Mn |
| Jun 30, 2020 | 5.28 Mn |
| Mar 31, 2020 | 5.54 Mn |
| Dec 31, 2019 | 5.79 Mn |
| Sep 30, 2019 | 6.85 Mn |
| Jun 30, 2019 | 7.19 Mn |
| Mar 31, 2019 | 7.47 Mn |
API Access
Mammoth Energy Services Intangibles 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=intangibles&ticker=TUSK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=TUSK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();