Clean Harbors (CLH) Long-Term Debt Repayments (2009 - 2026)
Clean Harbors' Long-Term Debt Repayments was $15.82 million in Q3 2026, up 30.7% from $12.11 million a year earlier but down 0.9% 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 $2.05 billion through Sep 30, 2026; for FY2025, it came in at $2.04 billion.
- Long-Term Debt Repayments shows a five-year compound annual growth rate of 179.4% (FY2020 to FY2025).
- In earlier years, Long-Term Debt Repayments was $45.99 million in FY2024 (-92.8%), $639.91 million in FY2023 (+398.1%), $128.47 million in FY2022 (+703.3%) and $15.99 million in FY2021 (+33.2%).
- Quarterly Long-Term Debt Repayments has moved between $4.5 million (Q4 2021) and $2.01 billion (Q4 2025) over five years.
- Compared with a year earlier, Long-Term Debt Repayments has increased for three straight quarters, with growth averaging 28.3% over the last seven quarters.
- The best year-over-year quarter for Long-Term Debt Repayments over five years was Q3 2024 (growth of 144.1%); the worst was Q1 2024 (a decline of 98.6%).
- Per Business Quant data, CLH's Long-Term Debt Repayments in the three quarters before Q3 2026 was $15.97 million (Q2 2026), $15.75 million (Q1 2026) and $2.01 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Waste Management | 94.39 Bn | 93.32 Bn | 2.75 Bn | - |
| 2 | Republic Services | 75.41 Bn | 75.02 Bn | 1.90 Bn | 12.67 Bn |
| 3 | Waste Connections | 47.83 Bn | 47.48 Bn | 1.14 Bn | 845.92 Mn |
| 4 | GFL Environmental | 15.73 Bn | 15.73 Bn | 304.74 Mn | - |
| 5 | Clean Harbors | 15.30 Bn | 12.64 Bn | 661.44 Mn | 15.82 Mn |
| 6 | Casella Waste Systems | 5.92 Bn | 5.24 Bn | 184.65 Mn | 199.31 Mn |
| 7 | Onterris | 832.01 Mn | 777.91 Mn | 88.27 Mn | 4.65 Mn |
| 8 | Enviri | 710.17 Mn | 67.28 Mn | -162.22 Mn | 2.27 Mn |
| 9 | Oio | 619.48 Mn | 617.91 Mn | - | - |
| 10 | Perma Fix Environmental Services | 328.26 Mn | 221.00 Mn | 552,000.00 | 127,000.00 |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 15.82 Mn |
| 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 |
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();