Orion (OEC) Long-Term Debt Repayments (2018 - 2026)
Orion (OEC) reported Long-Term Debt Repayments of $6.7 million for Q2 2026, up 86.1% from $3.6 million a year earlier but down 11.8% from the prior quarter.
Orion (OEC) Long-Term Debt Repayments (2018 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Orion's Long-Term Debt Repayments came in at $18.8 million, up 193.8% year-over-year; for FY2025, it came in at $8.9 million, up 117.1% from FY2024.
- Long-Term Debt Repayments has a five-year compound annual growth rate of 1.7% (FY2020 to FY2025).
- By year, Long-Term Debt Repayments came in at $4.1 million in FY2024 (+36.7%), $3 million in FY2023 (unchanged), $3 million in FY2022 (-98.6%) and $213 million in FY2021.
- Five-year quarterly Long-Term Debt Repayments spans a low of $700,000 in Q4 2021 and a high of $208.1 million in Q3 2021.
- Year over year, Long-Term Debt Repayments has now increased in each of the last five quarters, with growth averaging 173.1% over the last eight quarters.
- The high point for year-over-year Long-Term Debt Repayments in five years was Q1 2026 (growth of 850.0%); the low point was Q3 2022 (a decline of 99.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $7.6 million (Q1 2026), $3.7 million (Q4 2025) and $800,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 234.59 Bn | 216.17 Bn | 4.43 Bn | 26.00 Mn |
| 2 | Corning | 107.04 Bn | 99.61 Bn | 1.63 Bn | 678.00 Mn |
| 3 | Sherwin Williams | 83.82 Bn | 82.86 Bn | 3.34 Bn | - |
| 4 | Air Products & Chemicals | 67.95 Bn | 63.13 Bn | 1.04 Bn | 74.10 Mn |
| 5 | LyondellBasell Industries | 41.07 Bn | 30.57 Bn | 2.04 Bn | - |
| 6 | Nutrien | 33.22 Bn | 30.05 Bn | 3.25 Bn | -36.00 Mn |
| 7 | Ppg Industries | 25.04 Bn | 17.69 Bn | 1.81 Bn | - |
| 8 | International Flavors & Fragrances | 23.53 Bn | 21.19 Bn | 853.00 Mn | - |
| 9 | Qnity Electronics | 23.00 Bn | 20.14 Bn | 666.00 Mn | 6.00 Mn |
| 10 | Orion | 297.78 Mn | 84.48 Mn | 93.00 Mn | 6.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.70 Mn |
| Mar 31, 2026 | 7.60 Mn |
| Dec 31, 2025 | 3.70 Mn |
| Sep 30, 2025 | 800,000.00 |
| Jun 30, 2025 | 3.60 Mn |
| Mar 31, 2025 | 800,000.00 |
| Dec 31, 2024 | 1.30 Mn |
| Sep 30, 2024 | 700,000.00 |
| Jun 30, 2024 | 1.30 Mn |
| Mar 31, 2024 | 800,000.00 |
| Dec 31, 2023 | 700,000.00 |
| Sep 30, 2023 | 800,000.00 |
| Jun 30, 2023 | 700,000.00 |
| Mar 31, 2023 | 800,000.00 |
| Dec 31, 2022 | 700,000.00 |
| Sep 30, 2022 | 800,000.00 |
| Jun 30, 2022 | 700,000.00 |
| Mar 31, 2022 | 800,000.00 |
| Dec 31, 2021 | 700,000.00 |
| Sep 30, 2021 | 208.10 Mn |
Orion 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=OEC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "OEC", "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=OEC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();