Clean Harbors (CLH) EBIT (2009 - 2026)
Clean Harbors (CLH) posted EBIT of $318.11 million for Q3 2026, up 64.8% from $193.01 million a year earlier and up 18.3% from the prior quarter.
Clean Harbors (CLH) EBIT (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, EBIT at Clean Harbors was $864.39 million, up 32.6% 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 Q3 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 five quarters, with growth averaging 11.9% 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 $268.9 million (Q2 2026), $118.94 million (Q1 2026) and $158.45 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Waste Management | 94.52 Bn | 93.36 Bn | 2.75 Bn | 1.28 Bn |
| 2 | Republic Services | 75.60 Bn | 75.21 Bn | 1.90 Bn | 921.00 Mn |
| 3 | Waste Connections | 47.74 Bn | 47.38 Bn | 1.14 Bn | 541.75 Mn |
| 4 | GFL Environmental | 16.98 Bn | 14.99 Bn | - | 621.30 Mn |
| 5 | Clean Harbors | 15.14 Bn | 12.48 Bn | 661.44 Mn | 318.11 Mn |
| 6 | Casella Waste Systems | 6.31 Bn | 5.43 Bn | 178.80 Mn | 19.96 Mn |
| 7 | Onterris | 829.12 Mn | 775.01 Mn | 88.27 Mn | 12.28 Mn |
| 8 | Perma Fix Environmental Services | 330.79 Mn | 223.53 Mn | 552,000.00 | -3.67 Mn |
| 9 | Comstock | 147.04 Mn | 6.26 Mn | -606,061.00 | 2.16 Mn |
| 10 | Deep Isolation Nuclear | 109.56 Mn | 109.56 Mn | 707,000.00 | -3.24 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 318.11 Mn |
| 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 |
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();