Clean Harbors (CLH) Other Non-Current Liabilities (2009 - 2026)
Clean Harbors' Other Non-Current Liabilities was $214.81 million in Q2 2026, up 7.5% from $199.9 million a year earlier and up 12.9% from the prior quarter.
Clean Harbors (CLH) Other Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Other Non-Current Liabilities at Clean Harbors came in at $197.89 million, up 21.7% from FY2024.
- Other Non-Current Liabilities has now increased for four consecutive years, with a five-year compound annual growth rate of 14.0% (FY2020 to FY2025).
- In earlier years, Other Non-Current Liabilities was $162.55 million in FY2024 (+37.4%), $118.33 million in FY2023 (+11.2%), $106.37 million in FY2022 (+7.7%) and $98.75 million in FY2021 (-3.8%).
- The Q2 2026 figure marks the highest quarterly Other Non-Current Liabilities since Q3 2020.
- Compared with a year earlier, Other Non-Current Liabilities has increased for 15 straight quarters, with growth averaging 27.5% over the last eight quarters.
- The best year-over-year quarter for Other Non-Current Liabilities over five years was Q1 2025 (growth of 43.5%); the worst was Q3 2021 (a decline of 69.7%).
- Per Business Quant data, CLH's Other Non-Current Liabilities in the three quarters before Q2 2026 was $190.25 million (Q1 2026), $197.89 million (Q4 2025) and $193.24 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Waste Management | 92.20 Bn | 91.11 Bn | 2.73 Bn |
| 2 | Republic Services | 70.80 Bn | 70.41 Bn | 1.87 Bn |
| 3 | Waste Connections | 42.69 Bn | 42.31 Bn | 1.08 Bn |
| 4 | Clean Harbors | 16.85 Bn | 13.86 Bn | 608.78 Mn |
| 5 | GFL Environmental | 16.11 Bn | 14.22 Bn | 385.80 Mn |
| 6 | Casella Waste Systems | 5.74 Bn | 4.86 Bn | 178.80 Mn |
| 7 | Onterris | 503.07 Mn | 462.35 Mn | 82.26 Mn |
| 8 | Perma Fix Environmental Services | 247.80 Mn | 139.36 Mn | -2.50 Mn |
| 9 | Comstock | 138.36 Mn | 5.32 Mn | -896,073.00 |
| 10 | Deep Isolation Nuclear | 109.56 Mn | 109.56 Mn | 707,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 422.88 Mn |
| Mar 31, 2026 | 398.59 Mn |
| Dec 31, 2025 | 409.47 Mn |
| Sep 30, 2025 | 401.08 Mn |
| Jun 30, 2025 | 409.58 Mn |
| Mar 31, 2025 | 390.15 Mn |
| Dec 31, 2024 | 383.46 Mn |
| Sep 30, 2024 | 347.00 Mn |
| Jun 30, 2024 | 344.56 Mn |
| Mar 31, 2024 | 325.57 Mn |
| Dec 31, 2023 | 321.26 Mn |
| Sep 30, 2023 | 313.26 Mn |
| Jun 30, 2023 | 307.34 Mn |
| Mar 31, 2023 | 305.07 Mn |
| Dec 31, 2022 | 302.82 Mn |
| Sep 30, 2022 | 265.74 Mn |
| Jun 30, 2022 | 271.72 Mn |
| Mar 31, 2022 | 279.21 Mn |
| Dec 31, 2021 | 264.63 Mn |
| Sep 30, 2021 | 270.80 Mn |
Clean Harbors Other Non-Current Liabilities 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=other-non-current-liabilities&ticker=CLH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-liabilities", "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=other-non-current-liabilities&ticker=CLH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();