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 | 181.90 Bn | 148.03 Bn | - | - |
| 2 | Southern Copper | 169.19 Bn | 148.06 Bn | 2.90 Bn | 2.85 Bn |
| 3 | Newmont | 121.55 Bn | 89.73 Bn | 4.03 Bn | 1.61 Bn |
| 4 | Ternium | 108.92 Bn | 73.97 Bn | 941.02 Mn | 722.41 Mn |
| 5 | Freeport-Mcmoran | 100.46 Bn | 96.62 Bn | 2.19 Bn | 2.53 Bn |
| 6 | Agnico Eagle Mines | 91.62 Bn | 91.62 Bn | 2.43 Bn | - |
| 7 | Barrick Mining | 68.12 Bn | 52.86 Bn | 2.90 Bn | 3.29 Bn |
| 8 | Nucor | 53.04 Bn | 43.58 Bn | 2.03 Bn | 2.01 Bn |
| 9 | ArcelorMittal | 50.74 Bn | 31.77 Bn | - | - |
| 10 | Atlas Energy Solutions | 1.50 Bn | 1.50 Bn | 25.86 Mn | 25.54 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 25.54 Mn |
| Mar 31, 2026 | 14.41 Mn |
| Dec 31, 2025 | 28.53 Mn |
| Sep 30, 2025 | 23.51 Mn |
| Jun 30, 2025 | 48.91 Mn |
| Mar 31, 2025 | 53.60 Mn |
| Dec 31, 2024 | 62.08 Mn |
| Sep 30, 2024 | 42.21 Mn |
| Jun 30, 2024 | 54.11 Mn |
| Mar 31, 2024 | 58.78 Mn |
| Dec 31, 2023 | 61.56 Mn |
| Sep 30, 2023 | 76.07 Mn |
| Jun 30, 2023 | 86.48 Mn |
| Mar 31, 2023 | 82.65 Mn |
| Dec 31, 2022 | 74.98 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();