Solaris Energy Infrastructure (SEI) Long-Term Debt Repayments (2016 - 2026)
Solaris Energy Infrastructure (SEI) posted Long-Term Debt Repayments of $465.18 million for Q2 2026, compared with $910,000 a year earlier.
Solaris Energy Infrastructure (SEI) Long-Term Debt Repayments (2016 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Long-Term Debt Repayments at Solaris Energy Infrastructure was $796.82 million; for FY2025, it was $331.86 million, up 355.1% from FY2024.
- Annual Long-Term Debt Repayments has increased for four consecutive years, with a five-year compound annual growth rate of 524.3% (FY2020 to FY2025).
- In prior years, Solaris Energy Infrastructure's Long-Term Debt Repayments was $72.92 million in FY2024 (+325.1%), $17.15 million in FY2023 (+181.5%), $6.09 million in FY2022 (+787.0%) and $687,000 in FY2021.
- The Q2 2026 figure stands as the highest quarterly Long-Term Debt Repayments in data going back to Q1 2016.
- On a year-over-year basis, Long-Term Debt Repayments increased in two of the last six quarters, with growth averaging 57.6%.
- The strongest year-over-year quarter for Long-Term Debt Repayments in the past five years was Q4 2023, with growth of 664.1%; the weakest was Q2 2025, with a decline of 94.0%.
- According to Business Quant data, Long-Term Debt Repayments for the three prior quarters was $2.11 million (Q1 2026), $322.95 million (Q4 2025) and $6.58 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 274.19 Bn | 245.49 Bn | 7.35 Bn | 2.73 Bn |
| 2 | Amphenol | 198.54 Bn | 193.24 Bn | 4.02 Bn | 937.90 Mn |
| 3 | Deere | 186.04 Bn | 154.13 Bn | 4.66 Bn | 2.40 Bn |
| 4 | Eaton | 139.66 Bn | 136.59 Bn | 3.11 Bn | 2.00 Mn |
| 5 | Parker-Hannifin | 120.67 Bn | 118.56 Bn | 2.26 Bn | 5.26 Bn |
| 6 | 3M | 97.83 Bn | 79.27 Bn | 2.78 Bn | 650.00 Mn |
| 7 | Emerson Electric | 94.87 Bn | 87.61 Bn | 2.66 Bn | 1.42 Bn |
| 8 | Illinois Tool Works | 81.52 Bn | 78.19 Bn | 1.91 Bn | - |
| 9 | Vertiv Holdings | 76.99 Bn | 65.83 Bn | 1.64 Bn | 15.30 Mn |
| 10 | Solaris Energy Infrastructure | 3.69 Bn | 2.06 Bn | 167.74 Mn | 465.18 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 465.18 Mn |
| Mar 31, 2026 | 2.11 Mn |
| Dec 31, 2025 | 322.95 Mn |
| Sep 30, 2025 | 6.58 Mn |
| Jun 30, 2025 | 910,000.00 |
| Mar 31, 2025 | 1.42 Mn |
| Dec 31, 2024 | 1.82 Mn |
| Sep 30, 2024 | 50.89 Mn |
| Jun 30, 2024 | 15.19 Mn |
| Mar 31, 2024 | 5.02 Mn |
| Dec 31, 2023 | 8.01 Mn |
| Sep 30, 2023 | 7.00 Mn |
| Jun 30, 2023 | 870,000.00 |
| Mar 31, 2023 | 1.28 Mn |
| Dec 31, 2022 | 1.05 Mn |
| Sep 30, 2022 | 4.06 Mn |
| Jun 30, 2022 | 735,000.00 |
| Mar 31, 2022 | 254,000.00 |
| Dec 31, 2021 | 254,000.00 |
| Sep 30, 2021 | 257,000.00 |
Solaris Energy Infrastructure 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=SEI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "SEI", "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=SEI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();