Waste Connections (WCN) Operating Margin (2015 - 2026)
Waste Connections (WCN) recorded Operating Margin of 17.08% in Q2 2026, down 2.01 percentage points from 19.09% a year earlier but up 1.72 percentage points from the prior quarter.
Waste Connections (WCN) Operating Margin (2015 - 2026) Analysis & Trends
On a TTM basis, Waste Connections' Operating Margin came in at 17.02% as of Jun 30, 2026, up 4.83 percentage points year-over-year; for FY2025, it came in at 18.06%, up 6.09 percentage points from FY2024.
- Annual Operating Margin has a five-year change of +10.49 percentage points (FY2020 to FY2025).
- Across earlier years, Operating Margin came in at 11.97% in FY2024 (-3.44 pp), 15.41% in FY2023 (-1.81 pp), 17.22% in FY2022 (+0.32 pp) and 16.90% in FY2021 (+9.33 pp).
- Quarterly Operating Margin has ranged from -8.81% in Q4 2024 to 20.33% in Q3 2024 over the past five years.
- On a year-over-year basis, Operating Margin rose in three of the last eight quarters, with an average year-over-year change of +0.42 percentage points.
- Peak year-over-year performance for Operating Margin in the last five years was a gain of 26.54 percentage points in Q4 2025, against a drop of 19.84 percentage points in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at 15.36% (Q1 2026), 17.73% (Q4 2025) and 17.88% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Waste Management | 94.52 Bn | 93.36 Bn | 2.75 Bn | 18.68% |
| 2 | Republic Services | 75.60 Bn | 75.21 Bn | 1.90 Bn | 20.20% |
| 3 | Waste Connections | 47.74 Bn | 47.38 Bn | 1.14 Bn | 20.54% |
| 4 | GFL Environmental | 16.98 Bn | 14.99 Bn | - | - |
| 5 | Clean Harbors | 15.14 Bn | 12.48 Bn | 661.44 Mn | 17.02% |
| 6 | Casella Waste Systems | 6.31 Bn | 5.43 Bn | 178.80 Mn | 3.67% |
| 7 | Onterris | 829.12 Mn | 775.01 Mn | 88.27 Mn | 6.05% |
| 8 | Perma Fix Environmental Services | 330.79 Mn | 223.53 Mn | 552,000.00 | -20.43% |
| 9 | Comstock | 147.04 Mn | 6.26 Mn | -606,061.00 | 588.94% |
| 10 | Deep Isolation Nuclear | 109.56 Mn | 109.56 Mn | 707,000.00 | -245.94% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 20.54% |
| Jun 30, 2026 | 17.08% |
| Mar 31, 2026 | 15.36% |
| Dec 31, 2025 | 17.73% |
| Sep 30, 2025 | 17.88% |
| Jun 30, 2025 | 19.09% |
| Mar 31, 2025 | 17.51% |
| Dec 31, 2024 | -8.81% |
| Sep 30, 2024 | 20.33% |
| Jun 30, 2024 | 18.89% |
| Mar 31, 2024 | 17.70% |
| Dec 31, 2023 | 11.03% |
| Sep 30, 2023 | 17.10% |
| Jun 30, 2023 | 17.03% |
| Mar 31, 2023 | 16.56% |
| Dec 31, 2022 | 16.69% |
| Sep 30, 2022 | 17.38% |
| Jun 30, 2022 | 18.14% |
| Mar 31, 2022 | 16.64% |
| Dec 31, 2021 | 15.35% |
Waste Connections 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=WCN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "ticker": "WCN", "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=WCN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();