Clean Harbors (CLH) Long-Term Debt Repayments (2009 - 2026)
Clean Harbors' Long-Term Debt Repayments was $12.82 million in Q2 2026, up 92.1% from $6.67 million a year earlier and up 1.7% from the prior quarter.
Clean Harbors (CLH) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Clean Harbors' Long-Term Debt Repayments was $2.02 billion through Jun 30, 2026; for FY2025, it came in at $2.01 billion.
- Long-Term Debt Repayments shows a five-year compound annual growth rate of 205.6% (FY2020 to FY2025).
- In earlier years, Long-Term Debt Repayments was $30.89 million in FY2024 (-95.1%), $623.98 million in FY2023 (+439.5%), $115.65 million in FY2022 and $8.46 million in FY2021 (+12.2%).
- Quarterly Long-Term Debt Repayments has moved between $2.08 million (Q3 2021) and $1.98 billion (Q4 2025) over five years.
- Compared with a year earlier, Long-Term Debt Repayments was higher in five of the last seven quarters, with growth averaging 110.8%.
- The best year-over-year quarter for Long-Term Debt Repayments over five years was Q3 2024 (growth of 384.2%); the worst was Q1 2024 (a decline of 99.2%).
- Per Business Quant data, CLH's Long-Term Debt Repayments in the three quarters before Q2 2026 was $12.6 million (Q1 2026), $1.98 billion (Q4 2025) and $8.33 million (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 | 15.97 Mn |
| Mar 31, 2026 | 15.75 Mn |
| Dec 31, 2025 | 2.01 Bn |
| Sep 30, 2025 | 12.11 Mn |
| Jun 30, 2025 | 10.45 Mn |
| Mar 31, 2025 | 13.86 Mn |
| Dec 31, 2024 | 11.07 Mn |
| Sep 30, 2024 | 15.88 Mn |
| Jun 30, 2024 | 10.60 Mn |
| Mar 31, 2024 | 8.44 Mn |
| Dec 31, 2023 | 6.84 Mn |
| Sep 30, 2023 | 6.51 Mn |
| Jun 30, 2023 | 6.40 Mn |
| Mar 31, 2023 | 620.16 Mn |
| Dec 31, 2022 | 105.78 Mn |
| Sep 30, 2022 | 7.37 Mn |
| Jun 30, 2022 | 7.35 Mn |
| Mar 31, 2022 | 7.97 Mn |
| Dec 31, 2021 | 4.50 Mn |
| Sep 30, 2021 | 4.15 Mn |
Clean Harbors 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=CLH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "CLH", "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=CLH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();