Clean Harbors (CLH) Return on Capital Employed [ROCE] (2010 - 2026)
Clean Harbors' Return on Capital Employed [ROCE] came in at 11.31% for Q2 2026, up 1.03 percentage points from 10.28% a year earlier and up 0.91 percentage points from the prior quarter.
Clean Harbors (CLH) Return on Capital Employed [ROCE] (2010 - 2026) Analysis & Trends
For FY2025, Clean Harbors' Return on Capital Employed [ROCE] was 10.58%, down 1.02 percentage points from FY2024.
- Return on Capital Employed [ROCE] has declined in each of the last three years, though with a five-year change of +3.37 percentage points (FY2020 to FY2025).
- Going back by year, Return on Capital Employed [ROCE] was 11.60% in FY2024 (-0.13 pp), 11.74% in FY2023 (-1.29 pp), 13.03% in FY2022 (+4.26 pp) and 8.77% in FY2021 (+1.56 pp).
- The Q2 2026 figure represents the highest quarterly Return on Capital Employed [ROCE] since Q4 2023.
- Year-over-year, Return on Capital Employed [ROCE] increased in two of the last eight quarters, with an average year-over-year change of -0.30 percentage points.
- The fastest year-over-year change in Return on Capital Employed [ROCE] over five years came in Q1 2023 (a gain of 4.86 percentage points), and the weakest in Q1 2024 (a drop of 1.98 percentage points).
- Business Quant data shows CLH's Return on Capital Employed [ROCE] at 10.40% (Q1 2026), 10.45% (Q4 2025) and 10.15% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Waste Management | 81.78 Bn | 80.69 Bn | 2.73 Bn | 11.24% |
| 2 | Republic Services | 64.17 Bn | 63.79 Bn | 1.87 Bn | 10.90% |
| 3 | Waste Connections | 38.78 Bn | 38.40 Bn | 1.08 Bn | 8.67% |
| 4 | Clean Harbors | 16.83 Bn | 13.84 Bn | 608.78 Mn | 11.31% |
| 5 | GFL Environmental | 15.57 Bn | 13.25 Bn | 385.80 Mn | -3.41% |
| 6 | Casella Waste Systems | 5.19 Bn | 4.31 Bn | 178.80 Mn | 2.13% |
| 7 | Onterris | 445.90 Mn | 405.17 Mn | 82.26 Mn | 0.92% |
| 8 | Perma Fix Environmental Services | 329.99 Mn | 221.55 Mn | -2.50 Mn | -29.66% |
| 9 | Deep Isolation Nuclear | 184.53 Mn | 184.53 Mn | 707,000.00 | -61.32% |
| 10 | Comstock | 172.41 Mn | 175.73 Mn | -896,073.00 | -31.61% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.31% |
| Mar 31, 2026 | 10.40% |
| Dec 31, 2025 | 10.45% |
| Sep 30, 2025 | 10.15% |
| Jun 30, 2025 | 10.28% |
| Mar 31, 2025 | 10.36% |
| Dec 31, 2024 | 10.74% |
| Sep 30, 2024 | 11.16% |
| Jun 30, 2024 | 10.75% |
| Mar 31, 2024 | 10.93% |
| Dec 31, 2023 | 11.60% |
| Sep 30, 2023 | 11.40% |
| Jun 30, 2023 | 12.50% |
| Mar 31, 2023 | 12.91% |
| Dec 31, 2022 | 12.49% |
| Sep 30, 2022 | 11.84% |
| Jun 30, 2022 | 10.04% |
| Mar 31, 2022 | 8.04% |
| Dec 31, 2021 | 8.53% |
| Sep 30, 2021 | 9.16% |
Clean Harbors Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=CLH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=CLH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();