Atlas Energy Solutions (AESI) EBITDA (2022 - 2026)
Atlas Energy Solutions (AESI) recorded EBITDA of $25.54 million in Q2 2026, down 47.8% from $48.91 million a year earlier but up 77.3% from the prior quarter.
Atlas Energy Solutions (AESI) EBITDA (2022 - 2026) Analysis & Trends
On a TTM basis, Atlas Energy Solutions' EBITDA came in at $91.99 million as of Jun 30, 2026, down 55.5% year-over-year; for FY2025, it came in at $154.55 million, down 28.5% from FY2024.
- Annual EBITDA has a four-year compound annual growth rate of 21.2% (FY2021 to FY2025).
- Across earlier years, EBITDA came in at $216.08 million in FY2024 (-29.6%), $306.76 million in FY2023 (+17.7%), $260.61 million in FY2022 (+264.0%) and $71.6 million in FY2021.
- Quarterly EBITDA has ranged from $14.41 million in Q1 2026 to $86.48 million in Q2 2023 over the past five years.
- On a year-over-year basis, EBITDA has declined for six consecutive quarters, with an average decline of 35.2% over the last eight quarters.
- Peak year-over-year performance for EBITDA in the last five years was growth of 2.1% in Q3 2023, against a decline of 73.1% in Q1 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $14.41 million (Q1 2026), $28.53 million (Q4 2025) and $23.51 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | - |
| 2 | Southern Copper | 163.97 Bn | 142.76 Bn | 2.90 Bn | 2.85 Bn |
| 3 | Rio Tinto | 141.19 Bn | 101.70 Bn | - | - |
| 4 | Newmont | 124.53 Bn | 92.53 Bn | 4.03 Bn | 1.61 Bn |
| 5 | Freeport-Mcmoran | 98.93 Bn | 82.97 Bn | 2.19 Bn | 2.53 Bn |
| 6 | Agnico Eagle Mines | 93.96 Bn | 83.59 Bn | 2.43 Bn | 2.73 Bn |
| 7 | Barrick Mining | 69.55 Bn | 44.75 Bn | 2.90 Bn | 3.29 Bn |
| 8 | Nucor | 60.45 Bn | 49.83 Bn | 2.03 Bn | 2.01 Bn |
| 9 | ArcelorMittal | 48.41 Bn | 27.44 Bn | - | 1.84 Bn |
| 10 | Atlas Energy Solutions | 1.18 Bn | 1.18 Bn | 25.86 Mn | 27.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 27.00 Mn |
| Mar 31, 2026 | 15.46 Mn |
| Dec 31, 2025 | 30.32 Mn |
| Sep 30, 2025 | 24.93 Mn |
| Jun 30, 2025 | 50.31 Mn |
| Mar 31, 2025 | 54.70 Mn |
| Dec 31, 2024 | 63.12 Mn |
| Sep 30, 2024 | 43.25 Mn |
| Jun 30, 2024 | 55.19 Mn |
| Mar 31, 2024 | 59.19 Mn |
| Dec 31, 2023 | 61.86 Mn |
| Sep 30, 2023 | 76.30 Mn |
| Jun 30, 2023 | 86.60 Mn |
| Mar 31, 2023 | 82.77 Mn |
| Dec 31, 2022 | 75.09 Mn |
| Sep 30, 2022 | 74.53 Mn |
Atlas Energy Solutions EBITDA 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=ebitda&ticker=AESI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=AESI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();