Clean Harbors (CLH) EBITDA Margin (2009 - 2026)
Clean Harbors' EBITDA Margin was 22.52% in Q2 2026, up 1.45 percentage points from 21.07% a year earlier and up 6.44 percentage points from the prior quarter.
Clean Harbors (CLH) EBITDA Margin (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Clean Harbors' EBITDA Margin was 19.13% through Jun 30, 2026, up 0.88 percentage points year-over-year; for FY2025, it was 18.56%, up 0.37 percentage points from FY2024.
- EBITDA Margin shows a five-year change of +1.25 percentage points (FY2020 to FY2025).
- In earlier years, EBITDA Margin was 18.19% in FY2024 (+0.10 pp), 18.08% in FY2023 (-0.93 pp), 19.01% in FY2022 (+2.04 pp) and 16.98% in FY2021 (-0.33 pp).
- The Q2 2026 figure marks the highest quarterly EBITDA Margin in data going back to Q2 2009.
- Compared with a year earlier, EBITDA Margin has increased for five straight quarters, with an average year-over-year change of +0.38 percentage points over the last eight quarters.
- The best year-over-year quarter for EBITDA Margin over five years was Q3 2022 (a gain of 3.30 percentage points); the worst was Q3 2023 (a drop of 3.71 percentage points).
- Per Business Quant data, CLH's EBITDA Margin in the three quarters before Q2 2026 was 16.08% (Q1 2026), 17.43% (Q4 2025) and 19.86% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Waste Management | 93.10 Bn | 92.01 Bn | 2.73 Bn | 30.37% |
| 2 | Republic Services | 71.62 Bn | 71.24 Bn | 1.87 Bn | 32.03% |
| 3 | Waste Connections | 42.92 Bn | 42.55 Bn | 1.08 Bn | 31.75% |
| 4 | Clean Harbors | 16.71 Bn | 13.72 Bn | 608.78 Mn | 22.59% |
| 5 | GFL Environmental | 16.39 Bn | 14.50 Bn | 385.80 Mn | 38.86% |
| 6 | Casella Waste Systems | 5.97 Bn | 5.09 Bn | 178.80 Mn | 20.08% |
| 7 | Onterris | 503.25 Mn | 462.52 Mn | 82.26 Mn | 10.26% |
| 8 | Perma Fix Environmental Services | 245.92 Mn | 137.48 Mn | -2.50 Mn | -46.57% |
| 9 | Comstock | 132.67 Mn | -367,261.50 | -896,073.00 | -9,744.96% |
| 10 | Deep Isolation Nuclear | 98.60 Mn | 98.60 Mn | 707,000.00 | -244.05% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.59% |
| Mar 31, 2026 | 16.17% |
| Dec 31, 2025 | 17.52% |
| Sep 30, 2025 | 19.97% |
| Jun 30, 2025 | 21.18% |
| Mar 31, 2025 | 15.73% |
| Dec 31, 2024 | 17.05% |
| Sep 30, 2024 | 19.23% |
| Jun 30, 2024 | 20.45% |
| Mar 31, 2024 | 16.12% |
| Dec 31, 2023 | 18.45% |
| Sep 30, 2023 | 18.21% |
| Jun 30, 2023 | 20.09% |
| Mar 31, 2023 | 15.84% |
| Dec 31, 2022 | 16.90% |
| Sep 30, 2022 | 21.94% |
| Jun 30, 2022 | 22.16% |
| Mar 31, 2022 | 14.79% |
| Dec 31, 2021 | 14.89% |
| Sep 30, 2021 | 18.62% |
Clean Harbors EBITDA Margin 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-margin&ticker=CLH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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-margin&ticker=CLH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();