Waste Connections (WCN) Cost of Revenue (2015 - 2026)
Waste Connections' Cost of Revenue was $1.5 billion in Q3 2026, up 6.7% from $1.41 billion a year earlier and up 1.5% from the prior quarter.
Waste Connections (WCN) Cost of Revenue (2015 - 2026) Analysis & Trends
On a trailing twelve-month basis, Waste Connections' Cost of Revenue was $5.71 billion through Sep 30, 2026, up 5.4% year-over-year; for FY2025, it was $5.46 billion, up 5.1% from FY2024.
- Cost of Revenue has now increased for 11 consecutive years, with a five-year compound annual growth rate of 10.7% (FY2020 to FY2025).
- In earlier years, Cost of Revenue was $5.19 billion in FY2024 (+9.4%), $4.74 billion in FY2023 (+9.4%), $4.34 billion in FY2022 (+18.7%) and $3.65 billion in FY2021 (+11.5%).
- The Q3 2026 figure marks the highest quarterly Cost of Revenue in data going back to Q2 2015.
- Compared with a year earlier, Cost of Revenue has increased for 24 straight quarters, with growth averaging 6.2% over the last eight quarters.
- Across the past five years, year-over-year growth in Cost of Revenue ran from 3.0% in Q4 2025 to 20.7% in Q2 2022.
- Per Business Quant data, WCN's Cost of Revenue in the three quarters before Q3 2026 was $1.48 billion (Q2 2026), $1.36 billion (Q1 2026) and $1.36 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Waste Management | 94.64 Bn | 93.47 Bn | 2.75 Bn | 4.09 Bn |
| 2 | Republic Services | 75.71 Bn | 75.32 Bn | 1.90 Bn | 2.66 Bn |
| 3 | Waste Connections | 47.82 Bn | 47.47 Bn | 1.14 Bn | 1.50 Bn |
| 4 | GFL Environmental | 17.10 Bn | 15.12 Bn | - | 1.73 Bn |
| 5 | Clean Harbors | 15.24 Bn | 12.58 Bn | 661.44 Mn | 1.21 Bn |
| 6 | Casella Waste Systems | 6.30 Bn | 5.42 Bn | 178.80 Mn | 364.95 Mn |
| 7 | Onterris | 832.63 Mn | 778.53 Mn | 88.27 Mn | 114.78 Mn |
| 8 | Perma Fix Environmental Services | 327.71 Mn | 220.45 Mn | 552,000.00 | 17.40 Mn |
| 9 | Comstock | 146.28 Mn | 5.50 Mn | -606,061.00 | 973,312.00 |
| 10 | Deep Isolation Nuclear | 103.79 Mn | 103.79 Mn | 707,000.00 | 612,000.00 |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.50 Bn |
| Jun 30, 2026 | 1.48 Bn |
| Mar 31, 2026 | 1.36 Bn |
| Dec 31, 2025 | 1.36 Bn |
| Sep 30, 2025 | 1.41 Bn |
| Jun 30, 2025 | 1.39 Bn |
| Mar 31, 2025 | 1.29 Bn |
| Dec 31, 2024 | 1.32 Bn |
| Sep 30, 2024 | 1.34 Bn |
| Jun 30, 2024 | 1.30 Bn |
| Mar 31, 2024 | 1.22 Bn |
| Dec 31, 2023 | 1.20 Bn |
| Sep 30, 2023 | 1.20 Bn |
| Jun 30, 2023 | 1.20 Bn |
| Mar 31, 2023 | 1.15 Bn |
| Dec 31, 2022 | 1.14 Bn |
| Sep 30, 2022 | 1.12 Bn |
| Jun 30, 2022 | 1.09 Bn |
| Mar 31, 2022 | 989.52 Mn |
| Dec 31, 2021 | 980.87 Mn |
Waste Connections Cost of Revenue 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=cost-of-revenue&ticker=WCN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=WCN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();