Waste Connections (WCN) EBIT (2015 - 2026)
Waste Connections (WCN) recorded EBIT of $437.55 million in Q2 2026, down 4.8% from $459.55 million a year earlier but up 20.2% from the prior quarter.
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Analysis
Waste Connections (WCN) EBIT (2015 - 2026) Analysis & Trends
On a TTM basis, Waste Connections' EBIT came in at $1.66 billion as of Jun 30, 2026, up 47.6% year-over-year; for FY2025, it was $1.71 billion, up 60.2% from FY2024.
- Annual EBIT has a five-year compound annual growth rate of 32.9% (FY2020 to FY2025).
- Across earlier years, EBIT came in at $1.07 billion in FY2024 (-13.6%), $1.24 billion in FY2023 (-0.5%), $1.24 billion in FY2022 (+19.5%) and $1.04 billion in FY2021 (+152.1%).
- Quarterly EBIT has ranged from -$199.19 million in Q4 2024 to $475.34 million in Q3 2024 over the past five years.
- On a year-over-year basis, EBIT rose in three of the last six quarters, with growth averaging 5.0%.
- Peak year-over-year performance for EBIT in the last five years was growth of 34.7% in Q3 2024, against a decline of 28.0% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $364.08 million (Q1 2026), $420.83 million (Q4 2025) and $439.59 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Waste Management | 82.84 Bn | 81.75 Bn | 2.73 Bn | 1.25 Bn |
| 2 | Republic Services | 64.88 Bn | 64.50 Bn | 1.87 Bn | 901.00 Mn |
| 3 | Waste Connections | 39.22 Bn | 38.85 Bn | 1.08 Bn | 437.55 Mn |
| 4 | Clean Harbors | 16.45 Bn | 13.46 Bn | 608.78 Mn | 268.90 Mn |
| 5 | GFL Environmental | 15.66 Bn | 13.34 Bn | 385.80 Mn | -214.30 Mn |
| 6 | Casella Waste Systems | 5.02 Bn | 4.14 Bn | 178.80 Mn | 19.96 Mn |
| 7 | Onterris | 495.05 Mn | 454.32 Mn | 82.26 Mn | 6.45 Mn |
| 8 | Perma Fix Environmental Services | 326.81 Mn | 218.37 Mn | -2.50 Mn | -6.51 Mn |
| 9 | Deep Isolation Nuclear | 204.72 Mn | 204.72 Mn | 707,000.00 | -3.24 Mn |
| 10 | Comstock | 179.25 Mn | 182.57 Mn | -896,073.00 | -26.94 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 437.55 Mn |
| Mar 31, 2026 | 364.08 Mn |
| Dec 31, 2025 | 420.83 Mn |
| Sep 30, 2025 | 439.59 Mn |
| Jun 30, 2025 | 459.55 Mn |
| Mar 31, 2025 | 390.21 Mn |
| Dec 31, 2024 | -199.19 Mn |
| Sep 30, 2024 | 475.34 Mn |
| Jun 30, 2024 | 424.71 Mn |
| Mar 31, 2024 | 366.80 Mn |
| Dec 31, 2023 | 224.52 Mn |
| Sep 30, 2023 | 352.98 Mn |
| Jun 30, 2023 | 344.13 Mn |
| Mar 31, 2023 | 314.69 Mn |
| Dec 31, 2022 | 311.97 Mn |
| Sep 30, 2022 | 326.77 Mn |
| Jun 30, 2022 | 329.59 Mn |
| Mar 31, 2022 | 273.86 Mn |
| Dec 31, 2021 | 249.32 Mn |
| Sep 30, 2021 | 285.14 Mn |
API Access
Waste Connections EBIT 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=ebit&ticker=WCN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=WCN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();