Waste Connections (WCN) Shares Outstanding (2010 - 2026)
Waste Connections (WCN) reported Weighted Average Shares Outstanding of 253.46 million for Q3 2026, down 1.4% from 256.95 million a year earlier and unchanged from the prior quarter.
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Analysis
Waste Connections (WCN) Shares Outstanding (2010 - 2026) Analysis & Trends
For FY2025, Waste Connections posted Weighted Average Shares Outstanding of 257.32 million, down 0.2% from FY2024.
- Weighted Average Shares Outstanding has a five-year compound annual growth rate of -0.4% (FY2020 to FY2025).
- By year, Weighted Average Shares Outstanding came in at 257.97 million in FY2024 (+0.2%), 257.55 million in FY2023 (+0.1%), 257.38 million in FY2022 (-1.4%) and 261.17 million in FY2021 (-0.8%).
- Five-year quarterly Weighted Average Shares Outstanding spans a low of 253.46 million in Q2 2026 and a high of 261.17 million in Q4 2021.
- Year over year, Weighted Average Shares Outstanding has now declined in each of the last five quarters, with an average decline of 0.6% over the last eight quarters.
- The high point for year-over-year Weighted Average Shares Outstanding in five years was Q3 2023 (growth of 0.2%); the low point was Q2 2026 (a decline of 1.9%).
- Per Business Quant data, the three quarters before Q3 2026 came in at 253.46 million (Q2 2026), 255.35 million (Q1 2026) and 257.32 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Waste Management | 94.39 Bn | 93.32 Bn | 2.75 Bn | 398.90 Mn |
| 2 | Republic Services | 75.41 Bn | 75.02 Bn | 1.90 Bn | 306.31 Mn |
| 3 | Waste Connections | 47.83 Bn | 47.48 Bn | 1.14 Bn | 251.34 Mn |
| 4 | GFL Environmental | 15.73 Bn | 15.73 Bn | 304.74 Mn | 369.56 Mn |
| 5 | Clean Harbors | 15.30 Bn | 12.64 Bn | 661.44 Mn | 52.75 Mn |
| 6 | Casella Waste Systems | 5.92 Bn | 5.24 Bn | 184.65 Mn | 63.64 Mn |
| 7 | Onterris | 832.01 Mn | 777.91 Mn | 88.27 Mn | 35.13 Mn |
| 8 | Enviri | 710.17 Mn | 67.28 Mn | -162.22 Mn | 28.17 Mn |
| 9 | Oio | 619.48 Mn | 617.91 Mn | - | 13.99 Mn |
| 10 | Perma Fix Environmental Services | 328.26 Mn | 221.00 Mn | 552,000.00 | 21.22 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 251.34 Mn |
| Jun 30, 2026 | 253.46 Mn |
| Mar 31, 2026 | 255.35 Mn |
| Dec 31, 2025 | 257.32 Mn |
| Sep 30, 2025 | 256.95 Mn |
| Jun 30, 2025 | 258.38 Mn |
| Mar 31, 2025 | 258.19 Mn |
| Dec 31, 2024 | 257.97 Mn |
| Sep 30, 2024 | 258.02 Mn |
| Jun 30, 2024 | 257.99 Mn |
| Mar 31, 2024 | 257.80 Mn |
| Dec 31, 2023 | 257.55 Mn |
| Sep 30, 2023 | 257.63 Mn |
| Jun 30, 2023 | 257.60 Mn |
| Mar 31, 2023 | 257.37 Mn |
| Dec 31, 2022 | 257.38 Mn |
| Sep 30, 2022 | 257.20 Mn |
| Jun 30, 2022 | 257.18 Mn |
| Mar 31, 2022 | 258.95 Mn |
| Dec 31, 2021 | 261.17 Mn |
API Access
Waste Connections Shares Outstanding 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=shares-outstanding&ticker=WCN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=WCN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();