Clean Harbors (CLH) EBITDA (2009 - 2026)
Clean Harbors (CLH) reported EBITDA of $390.7 million for Q2 2026, up 19.6% from $326.58 million a year earlier and up 66.4% from the prior quarter.
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Analysis
Clean Harbors (CLH) EBITDA (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Clean Harbors' EBITDA came in at $1.19 billion, up 10.1% year-over-year; for FY2025, it came in at $1.12 billion, up 4.5% from FY2024.
- EBITDA has a five-year compound annual growth rate of 15.5% (FY2020 to FY2025).
- By year, EBITDA came in at $1.07 billion in FY2024 (+9.5%), $978.2 million in FY2023 (-0.4%), $982.34 million in FY2022 (+52.1%) and $646.02 million in FY2021 (+18.7%).
- The Q2 2026 figure ranks as the highest quarterly EBITDA in data going back to Q2 2009.
- Year over year, EBITDA has now increased in each of the last six quarters, with growth averaging 7.4% over the last eight quarters.
- The high point for year-over-year EBITDA in five years was Q3 2022 (growth of 68.8%); the low point was Q3 2023 (a decline of 16.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $234.73 million (Q1 2026), $261.46 million (Q4 2025) and $307.74 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Waste Management | 81.64 Bn | 80.55 Bn | 2.73 Bn | 2.03 Bn |
| 2 | Republic Services | 64.27 Bn | 63.89 Bn | 1.87 Bn | 1.42 Bn |
| 3 | Waste Connections | 38.82 Bn | 38.45 Bn | 1.08 Bn | 811.03 Mn |
| 4 | Clean Harbors | 16.38 Bn | 13.39 Bn | 608.78 Mn | 390.70 Mn |
| 5 | GFL Environmental | 15.51 Bn | 13.19 Bn | 385.80 Mn | 174.20 Mn |
| 6 | Casella Waste Systems | 5.03 Bn | 4.15 Bn | 178.80 Mn | 108.46 Mn |
| 7 | Onterris | 470.12 Mn | 429.40 Mn | 82.26 Mn | 19.16 Mn |
| 8 | Perma Fix Environmental Services | 331.90 Mn | 223.46 Mn | -2.50 Mn | -6.02 Mn |
| 9 | Deep Isolation Nuclear | 182.23 Mn | 182.23 Mn | 707,000.00 | -3.22 Mn |
| 10 | Comstock | 177.73 Mn | 181.05 Mn | -896,073.00 | -26.59 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 390.70 Mn |
| Mar 31, 2026 | 234.73 Mn |
| Dec 31, 2025 | 261.46 Mn |
| Sep 30, 2025 | 307.74 Mn |
| Jun 30, 2025 | 326.58 Mn |
| Mar 31, 2025 | 223.60 Mn |
| Dec 31, 2024 | 242.26 Mn |
| Sep 30, 2024 | 292.36 Mn |
| Jun 30, 2024 | 316.00 Mn |
| Mar 31, 2024 | 220.54 Mn |
| Dec 31, 2023 | 245.63 Mn |
| Sep 30, 2023 | 247.34 Mn |
| Jun 30, 2023 | 279.52 Mn |
| Mar 31, 2023 | 205.71 Mn |
| Dec 31, 2022 | 214.43 Mn |
| Sep 30, 2022 | 297.48 Mn |
| Jun 30, 2022 | 299.04 Mn |
| Mar 31, 2022 | 171.39 Mn |
| Dec 31, 2021 | 165.13 Mn |
| Sep 30, 2021 | 176.28 Mn |
API Access
Clean Harbors EBITDA 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=ebitda&ticker=CLH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=CLH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();