Clean Harbors (CLH) Cash & Equivalents (2009 - 2026)
Clean Harbors (CLH) reported Cash & Equivalents of $423.54 million for Q3 2026, down 44.2% from $759.2 million a year earlier but up 3.7% from the prior quarter.
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%).
- Five-year quarterly Cash & Equivalents spans a low of $238.78 million in Q2 2023 and a high of $826.32 million in Q4 2025.
- Year over year, Cash & Equivalents gained in six of the last eight quarters, with growth averaging 19.1%.
- The high point for year-over-year Cash & Equivalents in five years was Q2 2024 (growth of 68.4%); the low point was Q3 2026 (a decline of 44.2%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $408.36 million (Q2 2026), $547.99 million (Q1 2026) and $826.32 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Waste Management | 96.96 Bn | 95.89 Bn | 2.75 Bn | 247.00 Mn |
| 2 | Republic Services | 77.08 Bn | 76.69 Bn | 1.90 Bn | 92.00 Mn |
| 3 | Waste Connections | 48.53 Bn | 48.18 Bn | 1.14 Bn | 95.69 Mn |
| 4 | GFL Environmental | 15.55 Bn | 15.55 Bn | 304.74 Mn | - |
| 5 | Clean Harbors | 15.50 Bn | 12.85 Bn | 661.44 Mn | 423.54 Mn |
| 6 | Casella Waste Systems | 6.38 Bn | 5.69 Bn | 184.65 Mn | 11.74 Mn |
| 7 | Onterris | 817.60 Mn | 763.50 Mn | 88.27 Mn | 20.11 Mn |
| 8 | Enviri | 710.45 Mn | 67.56 Mn | -162.22 Mn | 226.31 Mn |
| 9 | Oio | 584.68 Mn | 583.11 Mn | - | 533,609.00 |
| 10 | Perma Fix Environmental Services | 315.74 Mn | 208.48 Mn | 552,000.00 | 28.32 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 423.54 Mn |
| 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 |
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_KEY
import 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();