Clean Harbors (CLH) Cash & Equivalents (2009 - 2026)
Clean Harbors (CLH) reported Cash & Equivalents of $408.36 million for Q2 2026, down 32.0% from $600.19 million a year earlier and down 25.5% from the prior quarter.
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Analysis
Clean Harbors (CLH) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, Clean Harbors posted Cash & Equivalents of $826.32 million, up 20.2% from FY2024.
- Cash & Equivalents has a five-year compound annual growth rate of 9.7% (FY2020 to FY2025).
- By year, Cash & Equivalents came in at $687.19 million in FY2024 (+54.5%), $444.7 million in FY2023 (-9.7%), $492.6 million in FY2022 (+8.8%) and $452.58 million in FY2021 (-12.8%).
- The Q2 2026 figure ranks as the lowest quarterly Cash & Equivalents since Q2 2024.
- Year over year, Cash & Equivalents gained in seven of the last eight quarters, with growth averaging 31.2%.
- The high point for year-over-year Cash & Equivalents in five years was Q2 2024 (growth of 68.4%); the low point was Q2 2022 (a decline of 42.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $547.99 million (Q1 2026), $826.32 million (Q4 2025) and $759.2 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Waste Management | 81.78 Bn | 80.69 Bn | 2.73 Bn | 557.00 Mn |
| 2 | Republic Services | 64.17 Bn | 63.79 Bn | 1.87 Bn | 107.00 Mn |
| 3 | Waste Connections | 38.78 Bn | 38.40 Bn | 1.08 Bn | 98.18 Mn |
| 4 | Clean Harbors | 16.83 Bn | 13.84 Bn | 608.78 Mn | 408.36 Mn |
| 5 | GFL Environmental | 15.57 Bn | 13.25 Bn | 385.80 Mn | 192.10 Mn |
| 6 | Casella Waste Systems | 5.19 Bn | 4.31 Bn | 178.80 Mn | 25.54 Mn |
| 7 | Onterris | 445.90 Mn | 405.17 Mn | 82.26 Mn | 12.72 Mn |
| 8 | Perma Fix Environmental Services | 329.99 Mn | 221.55 Mn | -2.50 Mn | 33.95 Mn |
| 9 | Deep Isolation Nuclear | 184.53 Mn | 184.53 Mn | 707,000.00 | - |
| 10 | Comstock | 172.41 Mn | 175.73 Mn | -896,073.00 | 31.41 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 408.36 Mn |
| Mar 31, 2026 | 547.99 Mn |
| Dec 31, 2025 | 826.32 Mn |
| Sep 30, 2025 | 759.20 Mn |
| Jun 30, 2025 | 600.19 Mn |
| Mar 31, 2025 | 489.42 Mn |
| Dec 31, 2024 | 687.19 Mn |
| Sep 30, 2024 | 512.37 Mn |
| Jun 30, 2024 | 401.99 Mn |
| Mar 31, 2024 | 337.83 Mn |
| Dec 31, 2023 | 444.70 Mn |
| Sep 30, 2023 | 335.97 Mn |
| Jun 30, 2023 | 238.78 Mn |
| Mar 31, 2023 | 304.31 Mn |
| Dec 31, 2022 | 492.60 Mn |
| Sep 30, 2022 | 449.02 Mn |
| Jun 30, 2022 | 344.63 Mn |
| Mar 31, 2022 | 339.58 Mn |
| Dec 31, 2021 | 452.58 Mn |
| Sep 30, 2021 | 646.66 Mn |
API Access
Clean Harbors Cash & Equivalents 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=cash-and-equivalents&ticker=CLH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=CLH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();