Clean Harbors (CLH) Total Non-Current Liabilities (2009 - 2026)
Clean Harbors' Total Non-Current Liabilities was $3.75 billion in Q2 2026, up 0.9% from $3.71 billion a year earlier and up 0.4% from the prior quarter.
Clean Harbors (CLH) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Clean Harbors came in at $3.74 billion, up 1.1% from FY2024.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of 11.7% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $3.7 billion in FY2024 (+19.5%), $3.1 billion in FY2023 (-2.8%), $3.19 billion in FY2022 (-0.8%) and $3.21 billion in FY2021 (+49.2%).
- The Q2 2026 figure marks the highest quarterly Total Non-Current Liabilities in data going back to Q4 2009.
- Compared with a year earlier, Total Non-Current Liabilities has increased for ten straight quarters, with growth averaging 5.8% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q3 2022 (growth of 49.6%); the worst was Q2 2023 (a decline of 4.4%).
- Per Business Quant data, CLH's Total Non-Current Liabilities in the three quarters before Q2 2026 was $3.73 billion (Q1 2026), $3.74 billion (Q4 2025) and $3.7 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Waste Management | 92.20 Bn | 91.11 Bn | 2.73 Bn | 31.54 Bn |
| 2 | Republic Services | 70.80 Bn | 70.41 Bn | 1.87 Bn | 19.46 Bn |
| 3 | Waste Connections | 42.69 Bn | 42.31 Bn | 1.08 Bn | 12.80 Bn |
| 4 | Clean Harbors | 16.85 Bn | 13.86 Bn | 608.78 Mn | 3.75 Bn |
| 5 | GFL Environmental | 16.11 Bn | 14.22 Bn | 385.80 Mn | 12.06 Bn |
| 6 | Casella Waste Systems | 5.74 Bn | 4.86 Bn | 178.80 Mn | 1.75 Bn |
| 7 | Onterris | 503.07 Mn | 462.35 Mn | 82.26 Mn | 530.71 Mn |
| 8 | Perma Fix Environmental Services | 247.80 Mn | 139.36 Mn | -2.50 Mn | 16.13 Mn |
| 9 | Comstock | 138.36 Mn | 5.32 Mn | -896,073.00 | 34.70 Mn |
| 10 | Deep Isolation Nuclear | 109.56 Mn | 109.56 Mn | 707,000.00 | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.75 Bn |
| Mar 31, 2026 | 3.73 Bn |
| Dec 31, 2025 | 3.74 Bn |
| Sep 30, 2025 | 3.70 Bn |
| Jun 30, 2025 | 3.71 Bn |
| Mar 31, 2025 | 3.70 Bn |
| Dec 31, 2024 | 3.70 Bn |
| Sep 30, 2024 | 3.66 Bn |
| Jun 30, 2024 | 3.63 Bn |
| Mar 31, 2024 | 3.61 Bn |
| Dec 31, 2023 | 3.10 Bn |
| Sep 30, 2023 | 3.09 Bn |
| Jun 30, 2023 | 3.08 Bn |
| Mar 31, 2023 | 3.18 Bn |
| Dec 31, 2022 | 3.19 Bn |
| Sep 30, 2022 | 3.22 Bn |
| Jun 30, 2022 | 3.22 Bn |
| Mar 31, 2022 | 3.22 Bn |
| Dec 31, 2021 | 3.21 Bn |
| Sep 30, 2021 | 2.15 Bn |
Clean Harbors Total 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=total-non-current-liabilities&ticker=CLH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-non-current-liabilities&ticker=CLH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();