Onterris (ONT) Long-Term Debt Repayments (2019 - 2026)
Onterris (ONT) recorded Long-Term Debt Repayments of $2.5 million in Q2 2026, unchanged from the prior quarter.
Onterris (ONT) Long-Term Debt Repayments (2019 - 2026) Analysis & Trends
On a TTM basis, Onterris' Long-Term Debt Repayments came in at $7.5 million as of Jun 30, 2026, down 96.3% year-over-year; for FY2025, it was $191.72 million.
- Annual Long-Term Debt Repayments has a five-year compound annual growth rate of 30.7% (FY2020 to FY2025).
- Across earlier years, Long-Term Debt Repayments came in at $15 million in FY2024 (+22.8%), $12.21 million in FY2023 (+39.6%), $8.75 million in FY2022 (-95.0%) and $173.91 million in FY2021 (+246.5%).
- Quarterly Long-Term Debt Repayments has ranged from -$1,000 in Q4 2022 to $189.22 million in Q1 2025 over the past five years.
- On a year-over-year basis, Long-Term Debt Repayments rose in two of the last four quarters, with growth averaging 27.0%.
- Peak year-over-year performance for Long-Term Debt Repayments in the last five years was growth of 699.8% in Q1 2022, against a decline of 98.7% in Q2 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $2.5 million (Q1 2026), $2.5 million (Q4 2025) and -$1,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Waste Management | 92.20 Bn | 91.11 Bn | 2.73 Bn | 6.36 Bn |
| 2 | Republic Services | 70.80 Bn | 70.41 Bn | 1.87 Bn | 11.36 Bn |
| 3 | Waste Connections | 42.69 Bn | 42.31 Bn | 1.08 Bn | 332.48 Mn |
| 4 | Clean Harbors | 16.85 Bn | 13.86 Bn | 608.78 Mn | 15.97 Mn |
| 5 | GFL Environmental | 16.11 Bn | 14.22 Bn | 385.80 Mn | -1.30 Bn |
| 6 | Casella Waste Systems | 5.74 Bn | 4.86 Bn | 178.80 Mn | 70.33 Mn |
| 7 | Onterris | 503.07 Mn | 462.35 Mn | 82.26 Mn | 6.95 Mn |
| 8 | Perma Fix Environmental Services | 247.80 Mn | 139.36 Mn | -2.50 Mn | 110,000.00 |
| 9 | Comstock | 138.36 Mn | 5.32 Mn | -896,073.00 | 2,267.00 |
| 10 | Deep Isolation Nuclear | 109.56 Mn | 109.56 Mn | 707,000.00 | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.95 Mn |
| Mar 31, 2026 | 4.33 Mn |
| Dec 31, 2025 | 4.67 Mn |
| Sep 30, 2025 | 2.85 Mn |
| Jun 30, 2025 | 4.51 Mn |
| Mar 31, 2025 | 190.78 Mn |
| Dec 31, 2024 | 5.01 Mn |
| Sep 30, 2024 | 8.47 Mn |
| Jun 30, 2024 | 2.65 Mn |
| Mar 31, 2024 | 4.36 Mn |
| Dec 31, 2023 | 4.63 Mn |
| Sep 30, 2023 | 3.37 Mn |
| Jun 30, 2023 | 5.58 Mn |
| Mar 31, 2023 | 3.22 Mn |
| Dec 31, 2022 | 1.06 Mn |
| Sep 30, 2022 | 3.18 Mn |
| Jun 30, 2022 | 3.16 Mn |
| Mar 31, 2022 | 5.32 Mn |
| Dec 31, 2021 | 827,000.00 |
| Sep 30, 2021 | 741,000.00 |
Onterris 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=ONT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "ONT", "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=ONT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();