Clean Harbors (CLH) EBT (2009 - 2026)
Clean Harbors' EBT came in at $232.12 million for Q2 2026, up 34.5% from $172.59 million a year earlier and up 175.2% from the prior quarter.
Clean Harbors (CLH) EBT (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Clean Harbors reported EBT of $597.24 million, up 18.0% year-over-year; for FY2025, it was $527.97 million, down 1.0% from FY2024.
- EBT carries a five-year compound annual growth rate of 24.8% (FY2020 to FY2025).
- Going back by year, EBT was $533.44 million in FY2024 (+6.0%), $503.28 million in FY2023 (-6.5%), $538 million in FY2022 (+99.5%) and $269.72 million in FY2021 (+54.5%).
- The Q2 2026 figure represents the highest quarterly EBT in data going back to Q2 2009.
- Year-over-year, EBT has increased for four consecutive quarters, with growth averaging 6.3% over the last eight quarters.
- The fastest year-over-year change in EBT over five years came in Q2 2022 (growth of 115.6%), and the weakest in Q3 2023 (a decline of 31.0%).
- Business Quant data shows CLH's EBT at $84.35 million (Q1 2026), $119.94 million (Q4 2025) and $160.83 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | Waste Management | 81.64 Bn | 80.55 Bn | 2.73 Bn | 1.02 Bn |
| 2 | Republic Services | 64.27 Bn | 63.89 Bn | 1.87 Bn | 699.00 Mn |
| 3 | Waste Connections | 38.82 Bn | 38.45 Bn | 1.08 Bn | 383.73 Mn |
| 4 | Clean Harbors | 16.38 Bn | 13.39 Bn | 608.78 Mn | 232.12 Mn |
| 5 | GFL Environmental | 15.51 Bn | 13.19 Bn | 385.80 Mn | -184.00 Mn |
| 6 | Casella Waste Systems | 5.03 Bn | 4.15 Bn | 178.80 Mn | 3.37 Mn |
| 7 | Onterris | 470.12 Mn | 429.40 Mn | 82.26 Mn | 1.71 Mn |
| 8 | Perma Fix Environmental Services | 331.90 Mn | 223.46 Mn | -2.50 Mn | -6.26 Mn |
| 9 | Deep Isolation Nuclear | 182.23 Mn | 182.23 Mn | 707,000.00 | -3.04 Mn |
| 10 | Comstock | 177.73 Mn | 181.05 Mn | -896,073.00 | -26.73 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 232.12 Mn |
| Mar 31, 2026 | 84.35 Mn |
| Dec 31, 2025 | 119.94 Mn |
| Sep 30, 2025 | 160.83 Mn |
| Jun 30, 2025 | 172.59 Mn |
| Mar 31, 2025 | 74.61 Mn |
| Dec 31, 2024 | 103.38 Mn |
| Sep 30, 2024 | 155.39 Mn |
| Jun 30, 2024 | 178.88 Mn |
| Mar 31, 2024 | 95.80 Mn |
| Dec 31, 2023 | 121.73 Mn |
| Sep 30, 2023 | 125.01 Mn |
| Jun 30, 2023 | 158.47 Mn |
| Mar 31, 2023 | 98.08 Mn |
| Dec 31, 2022 | 99.07 Mn |
| Sep 30, 2022 | 181.11 Mn |
| Jun 30, 2022 | 195.04 Mn |
| Mar 31, 2022 | 62.78 Mn |
| Dec 31, 2021 | 60.49 Mn |
| Sep 30, 2021 | 87.05 Mn |
Clean Harbors EBT 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=ebt&ticker=CLH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=CLH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();