Waste Management (WM) Return on Capital Employed [ROCE] (2009 - 2026)
Waste Management's Return on Capital Employed [ROCE] was 11.24% in Q2 2026, up 0.55 percentage points from 10.70% a year earlier and up 0.39 percentage points from the prior quarter.
Waste Management (WM) Return on Capital Employed [ROCE] (2009 - 2026) Analysis & Trends
For FY2025, Return on Capital Employed [ROCE] at Waste Management came in at 10.86%, down 1.67 percentage points from FY2024.
- Return on Capital Employed [ROCE] has now declined for three consecutive years, though with a five-year change of +1.12 percentage points (FY2020 to FY2025).
- In earlier years, Return on Capital Employed [ROCE] was 12.53% in FY2024 (-0.30 pp), 12.83% in FY2023 (-0.20 pp), 13.02% in FY2022 (+1.23 pp) and 11.79% in FY2021 (+2.05 pp).
- The Q2 2026 figure marks the highest quarterly Return on Capital Employed [ROCE] since Q4 2024.
- Compared with a year earlier, Return on Capital Employed [ROCE] was higher in three of the last eight quarters, with an average year-over-year change of -1.10 percentage points.
- The best year-over-year quarter for Return on Capital Employed [ROCE] over five years was Q1 2022 (a gain of 2.47 percentage points); the worst was Q3 2025 (a drop of 3.08 percentage points).
- Per Business Quant data, WM's Return on Capital Employed [ROCE] in the three quarters before Q2 2026 was 10.85% (Q1 2026), 10.72% (Q4 2025) and 10.20% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Waste Management | 80.76 Bn | 79.67 Bn | 2.73 Bn | 11.24% |
| 2 | Republic Services | 63.36 Bn | 62.98 Bn | 1.87 Bn | 10.90% |
| 3 | Waste Connections | 38.00 Bn | 37.62 Bn | 1.08 Bn | 8.67% |
| 4 | Clean Harbors | 16.50 Bn | 13.51 Bn | 608.78 Mn | 11.31% |
| 5 | GFL Environmental | 15.00 Bn | 12.68 Bn | 385.80 Mn | -3.41% |
| 6 | Casella Waste Systems | 4.89 Bn | 4.01 Bn | 178.80 Mn | 2.13% |
| 7 | Onterris | 446.25 Mn | 405.52 Mn | 82.26 Mn | 0.92% |
| 8 | Perma Fix Environmental Services | 326.81 Mn | 218.37 Mn | -2.50 Mn | -29.66% |
| 9 | Deep Isolation Nuclear | 201.83 Mn | 201.83 Mn | 707,000.00 | -61.32% |
| 10 | Comstock | 171.65 Mn | 174.97 Mn | -896,073.00 | -31.61% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.24% |
| Mar 31, 2026 | 10.85% |
| Dec 31, 2025 | 10.72% |
| Sep 30, 2025 | 10.20% |
| Jun 30, 2025 | 10.70% |
| Mar 31, 2025 | 10.36% |
| Dec 31, 2024 | 12.17% |
| Sep 30, 2024 | 13.28% |
| Jun 30, 2024 | 13.12% |
| Mar 31, 2024 | 13.08% |
| Dec 31, 2023 | 12.70% |
| Sep 30, 2023 | 12.90% |
| Jun 30, 2023 | 12.78% |
| Mar 31, 2023 | 12.46% |
| Dec 31, 2022 | 12.84% |
| Sep 30, 2022 | 12.69% |
| Jun 30, 2022 | 12.26% |
| Mar 31, 2022 | 12.16% |
| Dec 31, 2021 | 11.91% |
| Sep 30, 2021 | 11.68% |
Waste Management 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=WM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "WM", "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=WM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();