Clean Harbors (CLH) Change in Other Operating Liabilities (2009 - 2026)
Clean Harbors (CLH) posted Change in Other Operating Liabilities of $73.63 million for Q3 2026, up 96.2% from $37.52 million a year earlier and up 49.0% from the prior quarter.
Clean Harbors (CLH) Change in Other Operating Liabilities (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Change in Other Operating Liabilities at Clean Harbors was $74.02 million; for FY2025, it was -$21.37 million.
- In prior years, Clean Harbors' Change in Other Operating Liabilities was $21.7 million in FY2024, -$16.02 million in FY2023, $24.85 million in FY2022 (+140.2%) and $10.35 million in FY2021 (-76.5%).
- The Q3 2026 figure stands as the highest quarterly Change in Other Operating Liabilities in data going back to Q3 2009.
- On a year-over-year basis, Change in Other Operating Liabilities increased in four of the last six quarters, with growth averaging 98.4%.
- The strongest year-over-year quarter for Change in Other Operating Liabilities in the past five years was Q4 2025, with growth of 529.3%; the weakest was Q4 2021, with a decline of 97.6%.
- According to Business Quant data, Change in Other Operating Liabilities for the three prior quarters was $49.42 million (Q2 2026), -$60.5 million (Q1 2026) and $11.48 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Liabilities Change (Qtr) |
|---|---|---|---|---|---|
| 1 | Waste Management | 94.59 Bn | 93.43 Bn | 2.75 Bn | -70.00 Mn |
| 2 | Republic Services | 75.63 Bn | 75.24 Bn | 1.90 Bn | -38.00 Mn |
| 3 | Waste Connections | 47.67 Bn | 47.32 Bn | 1.14 Bn | - |
| 4 | GFL Environmental | 17.07 Bn | 15.08 Bn | - | - |
| 5 | Clean Harbors | 15.26 Bn | 12.60 Bn | 661.44 Mn | 73.63 Mn |
| 6 | Casella Waste Systems | 6.28 Bn | 5.40 Bn | 178.80 Mn | -1.35 Mn |
| 7 | Onterris | 818.93 Mn | 764.82 Mn | 88.27 Mn | -2.92 Mn |
| 8 | Perma Fix Environmental Services | 325.17 Mn | 217.90 Mn | 552,000.00 | - |
| 9 | Comstock | 145.90 Mn | 5.12 Mn | -606,061.00 | 18,963.00 |
| 10 | Deep Isolation Nuclear | 103.79 Mn | 103.79 Mn | 707,000.00 | -336,000.00 |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 73.63 Mn |
| Jun 30, 2026 | 49.42 Mn |
| Mar 31, 2026 | -60.50 Mn |
| Dec 31, 2025 | 11.48 Mn |
| Sep 30, 2025 | 37.52 Mn |
| Jun 30, 2025 | 31.48 Mn |
| Mar 31, 2025 | -101.86 Mn |
| Dec 31, 2024 | 1.83 Mn |
| Sep 30, 2024 | 27.58 Mn |
| Jun 30, 2024 | 51.08 Mn |
| Mar 31, 2024 | -58.78 Mn |
| Dec 31, 2023 | 17.85 Mn |
| Sep 30, 2023 | 10.03 Mn |
| Jun 30, 2023 | 57.91 Mn |
| Mar 31, 2023 | -101.81 Mn |
| Dec 31, 2022 | -7.69 Mn |
| Sep 30, 2022 | 19.33 Mn |
| Jun 30, 2022 | 54.79 Mn |
| Mar 31, 2022 | -41.59 Mn |
| Dec 31, 2021 | 311,000.00 |
Clean Harbors Change in Other Operating 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=change-in-other-operating-liabilities&ticker=CLH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-other-operating-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=change-in-other-operating-liabilities&ticker=CLH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();