Clean Harbors (CLH) Return on Capital Employed [ROCE] (2009 - 2026)
Clean Harbors' Return on Capital Employed [ROCE] came in at 12.77% for Q3 2026, up 2.62 percentage points from 10.15% a year earlier and up 1.45 percentage points from the prior quarter.
Clean Harbors (CLH) Return on Capital Employed [ROCE] (2009 - 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 Q3 2026 figure represents the highest quarterly Return on Capital Employed [ROCE] since Q1 2023.
- Year-over-year, Return on Capital Employed [ROCE] has increased for three consecutive quarters, with an average year-over-year change of +0.06 percentage points over the last eight quarters.
- 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 11.31% (Q2 2026), 10.40% (Q1 2026) and 10.45% (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Waste Management | 96.96 Bn | 95.89 Bn | 2.75 Bn | 11.50% |
| 2 | Republic Services | 77.08 Bn | 76.69 Bn | 1.90 Bn | 10.87% |
| 3 | Waste Connections | 48.53 Bn | 48.18 Bn | 1.14 Bn | 9.14% |
| 4 | GFL Environmental | 15.55 Bn | 15.55 Bn | 304.74 Mn | - |
| 5 | Clean Harbors | 15.50 Bn | 12.85 Bn | 661.44 Mn | 12.77% |
| 6 | Casella Waste Systems | 6.38 Bn | 5.69 Bn | 184.65 Mn | 1.61% |
| 7 | Onterris | 817.60 Mn | 763.50 Mn | 88.27 Mn | 1.20% |
| 8 | Enviri | 710.45 Mn | 67.56 Mn | -162.22 Mn | -19.27% |
| 9 | Oio | 584.68 Mn | 583.11 Mn | - | - |
| 10 | Perma Fix Environmental Services | 315.74 Mn | 208.48 Mn | 552,000.00 | -30.00% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 12.77% |
| 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% |
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();