Mammoth Energy Services (TUSK) Receivables (2015 - 2026)
Mammoth Energy Services' Receivables was $39.4 million in Q2 2026, down 12.0% from $44.79 million a year earlier but up 13.4% from the prior quarter.
Mammoth Energy Services (TUSK) Receivables (2015 - 2026) Analysis & Trends
At the end of FY2025, Receivables at Mammoth Energy Services came in at $28.93 million, down 28.9% from FY2024.
- Receivables has now declined for three consecutive years, with a five-year compound annual growth rate of -41.5% (FY2020 to FY2025).
- In earlier years, Receivables was $40.67 million in FY2024 (-90.9%), $447.2 million in FY2023 (-34.6%), $683.47 million in FY2022 (+7.7%) and $634.55 million in FY2021 (+50.5%).
- Quarterly Receivables has moved between $28.93 million (Q4 2025) and $690 million (Q3 2022) over five years.
- Compared with a year earlier, Receivables has declined for 14 straight quarters, with an average decline of 59.8% over the last eight quarters.
- The best year-over-year quarter for Receivables over five years was Q4 2022 (growth of 12.0%); the worst was Q4 2024 (a decline of 90.9%).
- Per Business Quant data, TUSK's Receivables in the three quarters before Q2 2026 was $34.74 million (Q1 2026), $28.93 million (Q4 2025) and $41.89 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 72.31 Bn | 69.42 Bn | 1.40 Bn | 9.13 Bn |
| 2 | Baker Hughes | 54.50 Bn | 17.77 Bn | 1.58 Bn | 8.60 Bn |
| 3 | TechnipFMC | 26.69 Bn | 22.84 Bn | 684.70 Mn | 2.78 Bn |
| 4 | Halliburton | 26.49 Bn | 18.25 Bn | 804.00 Mn | 5.33 Bn |
| 5 | Nov | 6.70 Bn | 1.49 Bn | 521.00 Mn | 2.48 Bn |
| 6 | Noble | 6.66 Bn | 4.59 Bn | 239.27 Mn | 547.81 Mn |
| 7 | Transocean | 5.85 Bn | 3.56 Bn | 358.00 Mn | 604.00 Mn |
| 8 | Weatherford International | 5.65 Bn | 1.58 Bn | 333.00 Mn | 1.19 Bn |
| 9 | Valaris | 5.44 Bn | 3.06 Bn | 123.70 Mn | 467.60 Mn |
| 10 | Mammoth Energy Services | 136.68 Mn | -298.02 Mn | 16.34 Mn | 39.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 39.40 Mn |
| Mar 31, 2026 | 34.74 Mn |
| Dec 31, 2025 | 28.93 Mn |
| Sep 30, 2025 | 41.89 Mn |
| Jun 30, 2025 | 44.79 Mn |
| Mar 31, 2025 | 76.31 Mn |
| Dec 31, 2024 | 40.67 Mn |
| Sep 30, 2024 | 232.03 Mn |
| Jun 30, 2024 | 235.80 Mn |
| Mar 31, 2024 | 389.52 Mn |
| Dec 31, 2023 | 447.20 Mn |
| Sep 30, 2023 | 455.62 Mn |
| Jun 30, 2023 | 449.39 Mn |
| Mar 31, 2023 | 475.70 Mn |
| Dec 31, 2022 | 456.69 Mn |
| Sep 30, 2022 | 690.00 Mn |
| Jun 30, 2022 | 657.44 Mn |
| Mar 31, 2022 | 638.93 Mn |
| Dec 31, 2021 | 407.64 Mn |
| Sep 30, 2021 | 629.04 Mn |
Mammoth Energy Services Receivables 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=receivables&ticker=TUSK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=TUSK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();