Clean Harbors (CLH) Operating Margin (2009 - 2026)
Clean Harbors (CLH) recorded Operating Margin of 15.50% in Q2 2026, up 1.93 percentage points from 13.57% a year earlier and up 7.35 percentage points from the prior quarter.
Clean Harbors (CLH) Operating Margin (2009 - 2026) Analysis & Trends
On a TTM basis, Clean Harbors' Operating Margin came in at 11.84% as of Jun 30, 2026, up 0.88 percentage points year-over-year; for FY2025, it came in at 11.17%, down 0.21 percentage points from FY2024.
- Annual Operating Margin has a five-year change of +3.17 percentage points (FY2020 to FY2025).
- Across earlier years, Operating Margin came in at 11.38% in FY2024 (+0.06 pp), 11.32% in FY2023 (-0.96 pp), 12.29% in FY2022 (+3.14 pp) and 9.14% in FY2021 (+1.15 pp).
- The Q2 2026 figure is the highest quarterly Operating Margin since Q2 2022.
- On a year-over-year basis, Operating Margin has increased for three consecutive quarters, with an average year-over-year change of +0.17 percentage points over the last eight quarters.
- Peak year-over-year performance for Operating Margin in the last five years was a gain of 4.32 percentage points in Q3 2022, against a drop of 4.04 percentage points in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at 8.15% (Q1 2026), 10.57% (Q4 2025) and 12.46% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Waste Management | 82.84 Bn | 81.75 Bn | 2.73 Bn | 18.75% |
| 2 | Republic Services | 64.88 Bn | 64.50 Bn | 1.87 Bn | 20.34% |
| 3 | Waste Connections | 39.22 Bn | 38.85 Bn | 1.08 Bn | 17.08% |
| 4 | Clean Harbors | 16.45 Bn | 13.46 Bn | 608.78 Mn | 15.50% |
| 5 | GFL Environmental | 15.66 Bn | 13.34 Bn | 385.80 Mn | -11.00% |
| 6 | Casella Waste Systems | 5.02 Bn | 4.14 Bn | 178.80 Mn | 3.67% |
| 7 | Onterris | 495.05 Mn | 454.32 Mn | 82.26 Mn | 3.46% |
| 8 | Perma Fix Environmental Services | 326.81 Mn | 218.37 Mn | -2.50 Mn | -50.50% |
| 9 | Deep Isolation Nuclear | 204.72 Mn | 204.72 Mn | 707,000.00 | -245.94% |
| 10 | Comstock | 179.25 Mn | 182.57 Mn | -896,073.00 | -9,872.81% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.50% |
| Mar 31, 2026 | 8.15% |
| Dec 31, 2025 | 10.57% |
| Sep 30, 2025 | 12.46% |
| Jun 30, 2025 | 13.57% |
| Mar 31, 2025 | 7.79% |
| Dec 31, 2024 | 9.57% |
| Sep 30, 2024 | 12.57% |
| Jun 30, 2024 | 13.88% |
| Mar 31, 2024 | 9.11% |
| Dec 31, 2023 | 11.01% |
| Sep 30, 2023 | 11.30% |
| Jun 30, 2023 | 13.58% |
| Mar 31, 2023 | 9.25% |
| Dec 31, 2022 | 9.97% |
| Sep 30, 2022 | 15.34% |
| Jun 30, 2022 | 15.57% |
| Mar 31, 2022 | 7.45% |
| Dec 31, 2021 | 7.34% |
| Sep 30, 2021 | 11.02% |
Clean Harbors Operating 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=operating-margin&ticker=CLH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-margin&ticker=CLH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();