Waste Connections (WCN) EBITDA Margin (2015 - 2026)
Waste Connections' EBITDA Margin came in at 31.66% for Q2 2026, down 2.30 percentage points from 33.96% a year earlier but up 1.03 percentage points from the prior quarter.
Waste Connections (WCN) EBITDA Margin (2015 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Waste Connections reported EBITDA Margin of 32.12%, up 4.58 percentage points year-over-year; for FY2025, it was 33.21%, up 6.06 percentage points from FY2024.
- EBITDA Margin carries a five-year change of +9.41 percentage points (FY2020 to FY2025).
- Going back by year, EBITDA Margin was 27.14% in FY2024 (-2.74 pp), 29.88% in FY2023 (-2.24 pp), 32.13% in FY2022 (-0.26 pp) and 32.38% in FY2021 (+8.58 pp).
- The five-year range for quarterly EBITDA Margin is 8.09% (Q4 2024) to 34.82% (Q3 2024).
- Year-over-year, EBITDA Margin increased in four of the last eight quarters, with an average year-over-year change of +1.21 percentage points.
- The fastest year-over-year change in EBITDA Margin over five years came in Q4 2025 (a gain of 25.30 percentage points), and the weakest in Q4 2024 (a drop of 15.38 percentage points).
- Business Quant data shows WCN's EBITDA Margin at 30.63% (Q1 2026), 33.39% (Q4 2025) and 32.80% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Waste Management | 92.20 Bn | 91.11 Bn | 2.73 Bn | 30.37% |
| 2 | Republic Services | 70.80 Bn | 70.41 Bn | 1.87 Bn | 32.03% |
| 3 | Waste Connections | 42.69 Bn | 42.31 Bn | 1.08 Bn | 31.75% |
| 4 | Clean Harbors | 16.85 Bn | 13.86 Bn | 608.78 Mn | 22.59% |
| 5 | GFL Environmental | 16.11 Bn | 14.22 Bn | 385.80 Mn | 38.86% |
| 6 | Casella Waste Systems | 5.74 Bn | 4.86 Bn | 178.80 Mn | 20.08% |
| 7 | Onterris | 503.07 Mn | 462.35 Mn | 82.26 Mn | 10.26% |
| 8 | Perma Fix Environmental Services | 247.80 Mn | 139.36 Mn | -2.50 Mn | -46.57% |
| 9 | Comstock | 138.36 Mn | 5.32 Mn | -896,073.00 | -9,744.96% |
| 10 | Deep Isolation Nuclear | 109.56 Mn | 109.56 Mn | 707,000.00 | -244.05% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 31.75% |
| Mar 31, 2026 | 30.72% |
| Dec 31, 2025 | 33.47% |
| Sep 30, 2025 | 32.88% |
| Jun 30, 2025 | 34.05% |
| Mar 31, 2025 | 32.75% |
| Dec 31, 2024 | 8.18% |
| Sep 30, 2024 | 34.90% |
| Jun 30, 2024 | 33.63% |
| Mar 31, 2024 | 32.52% |
| Dec 31, 2023 | 23.54% |
| Sep 30, 2023 | 29.49% |
| Jun 30, 2023 | 29.59% |
| Mar 31, 2023 | 29.45% |
| Dec 31, 2022 | 29.76% |
| Sep 30, 2022 | 29.81% |
| Jun 30, 2022 | 30.68% |
| Mar 31, 2022 | 29.92% |
| Dec 31, 2021 | 28.61% |
| Sep 30, 2021 | 30.91% |
Waste Connections EBITDA 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=ebitda-margin&ticker=WCN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-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=ebitda-margin&ticker=WCN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();