Atlas Energy Solutions (AESI) Cost of Revenue (2022 - 2026)
Atlas Energy Solutions (AESI) reported Cost of Revenue of $215.51 million for Q3 2026, up 10.4% from $195.23 million a year earlier but down 2.6% from the prior quarter.
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Analysis
Atlas Energy Solutions (AESI) Cost of Revenue (2022 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Atlas Energy Solutions' Cost of Revenue came in at $838.13 million, up 6.3% year-over-year; for FY2025, it came in at $784.5 million, up 8.2% from FY2024.
- Cost of Revenue has increased for four consecutive years, with a four-year compound annual growth rate of 74.5% (FY2021 to FY2025).
- By year, Cost of Revenue came in at $725.2 million in FY2024 (+178.5%), $260.4 million in FY2023 (+30.9%), $198.92 million in FY2022 (+135.0%) and $84.66 million in FY2021.
- Five-year quarterly Cost of Revenue spans a low of $60.14 million in Q3 2022 and a high of $225.35 million in Q3 2024.
- Year over year, Cost of Revenue has now increased in each of the last three quarters, with growth averaging 36.1% over the last eight quarters.
- The high point for year-over-year Cost of Revenue in five years was Q3 2024 (growth of 232.5%); the low point was Q3 2025 (a decline of 13.4%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $221.3 million (Q2 2026), $214.03 million (Q1 2026) and $187.3 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Nucor | 175.24 Bn | 165.01 Bn | 2.33 Bn | 8.92 Bn |
| 2 | Rio Tinto | 166.15 Bn | 128.95 Bn | - | - |
| 3 | Southern Copper | 143.83 Bn | 118.64 Bn | 3.10 Bn | 1.60 Bn |
| 4 | Rio Tinto | 137.31 Bn | 104.37 Bn | - | - |
| 5 | Newmont | 124.66 Bn | 89.98 Bn | 4.22 Bn | 2.14 Bn |
| 6 | Ternium | 102.52 Bn | 75.29 Bn | 1.04 Bn | 3.61 Bn |
| 7 | Agnico Eagle Mines | 95.19 Bn | 82.13 Bn | 2.15 Bn | 972.41 Mn |
| 8 | Freeport-Mcmoran | 86.53 Bn | 83.18 Bn | 2.55 Bn | 5.00 Bn |
| 9 | Barrick Mining | 66.50 Bn | 50.91 Bn | 2.71 Bn | 2.36 Bn |
| 10 | Atlas Energy Solutions | 668.80 Mn | 397.85 Mn | 5.22 Mn | 215.51 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 215.51 Mn |
| Jun 30, 2026 | 221.30 Mn |
| Mar 31, 2026 | 214.03 Mn |
| Dec 31, 2025 | 187.30 Mn |
| Sep 30, 2025 | 195.23 Mn |
| Jun 30, 2025 | 195.90 Mn |
| Mar 31, 2025 | 206.06 Mn |
| Dec 31, 2024 | 190.97 Mn |
| Sep 30, 2024 | 225.35 Mn |
| Jun 30, 2024 | 202.14 Mn |
| Mar 31, 2024 | 106.75 Mn |
| Dec 31, 2023 | 66.57 Mn |
| Sep 30, 2023 | 67.77 Mn |
| Jun 30, 2023 | 63.50 Mn |
| Mar 31, 2023 | 62.56 Mn |
| Dec 31, 2022 | 67.29 Mn |
| Sep 30, 2022 | 60.14 Mn |
API Access
Atlas Energy Solutions Cost of Revenue 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=cost-of-revenue&ticker=AESI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "ticker": "AESI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=cost-of-revenue&ticker=AESI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();