Waste Connections (WCN) EBITDA (2015 - 2026)
Waste Connections' EBITDA was $811.03 million in Q2 2026, down 0.8% from $817.44 million a year earlier but up 11.7% from the prior quarter.
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Analysis
Waste Connections (WCN) EBITDA (2015 - 2026) Analysis & Trends
On a trailing twelve-month basis, Waste Connections' EBITDA was $3.14 billion through Jun 30, 2026, up 23.3% year-over-year; for FY2025, it came in at $3.14 billion, up 29.8% from FY2024.
- EBITDA has now increased for five consecutive years, with a five-year compound annual growth rate of 19.4% (FY2020 to FY2025).
- In earlier years, EBITDA was $2.42 billion in FY2024 (+1.0%), $2.4 billion in FY2023 (+3.5%), $2.32 billion in FY2022 (+16.3%) and $1.99 billion in FY2021 (+53.7%).
- Quarterly EBITDA has moved between $182.79 million (Q4 2024) and $817.44 million (Q2 2025) over five years.
- Compared with a year earlier, EBITDA was higher in four of the last eight quarters, with growth averaging 40.1%.
- The best year-over-year quarter for EBITDA over five years was Q4 2025 (growth of 333.5%); the worst was Q4 2024 (a decline of 61.7%).
- Per Business Quant data, WCN's EBITDA in the three quarters before Q2 2026 was $726.09 million (Q1 2026), $792.33 million (Q4 2025) and $806.25 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Waste Management | 82.59 Bn | 81.50 Bn | 2.73 Bn | 2.03 Bn |
| 2 | Republic Services | 65.21 Bn | 64.82 Bn | 1.87 Bn | 1.42 Bn |
| 3 | Waste Connections | 39.38 Bn | 39.00 Bn | 1.08 Bn | 811.03 Mn |
| 4 | Clean Harbors | 16.54 Bn | 13.55 Bn | 608.78 Mn | 390.70 Mn |
| 5 | GFL Environmental | 15.37 Bn | 13.05 Bn | 385.80 Mn | 174.20 Mn |
| 6 | Casella Waste Systems | 5.11 Bn | 4.23 Bn | 178.80 Mn | 108.46 Mn |
| 7 | Onterris | 512.61 Mn | 471.88 Mn | 82.26 Mn | 19.16 Mn |
| 8 | Perma Fix Environmental Services | 331.69 Mn | 223.25 Mn | -2.50 Mn | -6.02 Mn |
| 9 | Deep Isolation Nuclear | 204.72 Mn | 204.72 Mn | 707,000.00 | -3.22 Mn |
| 10 | Comstock | 185.32 Mn | 188.64 Mn | -896,073.00 | -26.59 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 811.03 Mn |
| Mar 31, 2026 | 726.09 Mn |
| Dec 31, 2025 | 792.33 Mn |
| Sep 30, 2025 | 806.25 Mn |
| Jun 30, 2025 | 817.44 Mn |
| Mar 31, 2025 | 727.80 Mn |
| Dec 31, 2024 | 182.79 Mn |
| Sep 30, 2024 | 814.16 Mn |
| Jun 30, 2024 | 754.18 Mn |
| Mar 31, 2024 | 670.07 Mn |
| Dec 31, 2023 | 477.64 Mn |
| Sep 30, 2023 | 607.35 Mn |
| Jun 30, 2023 | 596.50 Mn |
| Mar 31, 2023 | 558.03 Mn |
| Dec 31, 2022 | 554.80 Mn |
| Sep 30, 2022 | 558.91 Mn |
| Jun 30, 2022 | 555.99 Mn |
| Mar 31, 2022 | 491.45 Mn |
| Dec 31, 2021 | 463.51 Mn |
| Sep 30, 2021 | 492.45 Mn |
API Access
Waste Connections EBITDA 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&ticker=WCN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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&ticker=WCN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();