Atlas Energy Solutions (AESI) Long-Term Debt Repayments (2022 - 2026)
Atlas Energy Solutions (AESI) posted Long-Term Debt Repayments of $9.49 million for Q3 2026, up 490.8% from $1.61 million a year earlier but down 89.4% from the prior quarter.
Atlas Energy Solutions (AESI) Long-Term Debt Repayments (2022 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Long-Term Debt Repayments at Atlas Energy Solutions was $103.77 million, up 38.9% year-over-year; for FY2025, it came in at $75.48 million.
- Annual Long-Term Debt Repayments shows a four-year compound annual growth rate of -18.7% (FY2021 to FY2025).
- In prior years, Atlas Energy Solutions' Long-Term Debt Repayments was $3.56 million in FY2024 and $172.87 million in FY2021.
- Quarterly Long-Term Debt Repayments has run from a low of -$21.26 million in Q4 2022 to a high of $89.87 million in Q2 2026 over five years.
- On a year-over-year basis, Long-Term Debt Repayments increased in four of the last five quarters, with growth averaging 104.4%.
- The strongest year-over-year quarter for Long-Term Debt Repayments in the past five years was Q3 2024, with growth of 527.6%; the weakest was Q1 2024, with a decline of 97.4%.
- According to Business Quant data, Long-Term Debt Repayments for the three prior quarters was $89.87 million (Q2 2026), $2.6 million (Q1 2026) and $1.8 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Nucor | 175.24 Bn | 165.01 Bn | 2.33 Bn | -79.00 Mn |
| 2 | Rio Tinto | 166.15 Bn | 128.95 Bn | - | - |
| 3 | Southern Copper | 143.83 Bn | 118.64 Bn | 3.10 Bn | - |
| 4 | Rio Tinto | 137.31 Bn | 104.37 Bn | - | - |
| 5 | Newmont | 124.66 Bn | 89.98 Bn | 4.22 Bn | 25.00 Mn |
| 6 | Ternium | 102.52 Bn | 75.29 Bn | 1.04 Bn | -77.00 Mn |
| 7 | Agnico Eagle Mines | 95.19 Bn | 82.13 Bn | 2.15 Bn | - |
| 8 | Freeport-Mcmoran | 86.53 Bn | 83.18 Bn | 2.55 Bn | 840.00 Mn |
| 9 | Barrick Mining | 66.50 Bn | 50.91 Bn | 2.71 Bn | -3.00 Mn |
| 10 | Atlas Energy Solutions | 668.80 Mn | 397.85 Mn | 5.22 Mn | 9.49 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 9.49 Mn |
| Jun 30, 2026 | 89.87 Mn |
| Mar 31, 2026 | 2.60 Mn |
| Dec 31, 2025 | 1.80 Mn |
| Sep 30, 2025 | 1.61 Mn |
| Jun 30, 2025 | 1.22 Mn |
| Mar 31, 2025 | 70.84 Mn |
| Dec 31, 2024 | 1.04 Mn |
| Sep 30, 2024 | 1.46 Mn |
| Jun 30, 2024 | 855,000.00 |
| Mar 31, 2024 | 216,000.00 |
| Dec 31, 2023 | -16.57 Mn |
| Sep 30, 2023 | 232,000.00 |
| Jun 30, 2023 | 8.35 Mn |
| Mar 31, 2023 | 8.23 Mn |
| Dec 31, 2022 | -21.26 Mn |
| Sep 30, 2022 | 310,000.00 |
Atlas Energy Solutions Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=AESI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=AESI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();