Clean Harbors (CLH) EBIT (2009 - 2026)
Clean Harbors (CLH) posted EBIT of $268.9 million for Q2 2026, up 27.9% from $210.3 million a year earlier and up 126.1% from the prior quarter.
Clean Harbors (CLH) EBIT (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBIT at Clean Harbors was $739.29 million, up 13.5% year-over-year; for FY2025, it came in at $673.37 million, up 0.5% from FY2024.
- Annual EBIT shows a five-year compound annual growth rate of 21.8% (FY2020 to FY2025).
- In prior years, Clean Harbors' EBIT was $670.23 million in FY2024 (+9.4%), $612.44 million in FY2023 (-3.5%), $634.75 million in FY2022 (+82.5%) and $347.89 million in FY2021 (+38.4%).
- The Q2 2026 figure stands as the highest quarterly EBIT in data going back to Q2 2009.
- On a year-over-year basis, EBIT has increased in each of the last four quarters, with growth averaging 6.8% over the last eight quarters.
- The strongest year-over-year quarter for EBIT in the past five years was Q3 2022, with growth of 99.4%; the weakest was Q3 2023, with a decline of 26.2%.
- According to Business Quant data, EBIT for the three prior quarters was $118.94 million (Q1 2026), $158.45 million (Q4 2025) and $193.01 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Waste Management | 82.59 Bn | 81.50 Bn | 2.73 Bn | 1.25 Bn |
| 2 | Republic Services | 65.21 Bn | 64.82 Bn | 1.87 Bn | 901.00 Mn |
| 3 | Waste Connections | 39.38 Bn | 39.00 Bn | 1.08 Bn | 437.55 Mn |
| 4 | Clean Harbors | 16.54 Bn | 13.55 Bn | 608.78 Mn | 268.90 Mn |
| 5 | GFL Environmental | 15.37 Bn | 13.05 Bn | 385.80 Mn | -214.30 Mn |
| 6 | Casella Waste Systems | 5.11 Bn | 4.23 Bn | 178.80 Mn | 19.96 Mn |
| 7 | Onterris | 512.61 Mn | 471.88 Mn | 82.26 Mn | 6.45 Mn |
| 8 | Perma Fix Environmental Services | 331.69 Mn | 223.25 Mn | -2.50 Mn | -6.51 Mn |
| 9 | Deep Isolation Nuclear | 204.72 Mn | 204.72 Mn | 707,000.00 | -3.24 Mn |
| 10 | Comstock | 185.32 Mn | 188.64 Mn | -896,073.00 | -26.94 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 268.90 Mn |
| Mar 31, 2026 | 118.94 Mn |
| Dec 31, 2025 | 158.45 Mn |
| Sep 30, 2025 | 193.01 Mn |
| Jun 30, 2025 | 210.30 Mn |
| Mar 31, 2025 | 111.62 Mn |
| Dec 31, 2024 | 136.97 Mn |
| Sep 30, 2024 | 192.30 Mn |
| Jun 30, 2024 | 215.49 Mn |
| Mar 31, 2024 | 125.48 Mn |
| Dec 31, 2023 | 147.29 Mn |
| Sep 30, 2023 | 154.37 Mn |
| Jun 30, 2023 | 189.82 Mn |
| Mar 31, 2023 | 120.96 Mn |
| Dec 31, 2022 | 127.40 Mn |
| Sep 30, 2022 | 209.09 Mn |
| Jun 30, 2022 | 211.17 Mn |
| Mar 31, 2022 | 87.09 Mn |
| Dec 31, 2021 | 82.20 Mn |
| Sep 30, 2021 | 104.83 Mn |
Clean Harbors EBIT 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=ebit&ticker=CLH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=CLH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();