Waste Connections (WCN) Shares Outstanding (2010 - 2026)
Waste Connections (WCN) reported Shares Outstanding of 253.46 million for Q2 2026, down 1.9% from 258.38 million a year earlier and down 0.7% from the prior quarter.
Waste Connections (WCN) Shares Outstanding (2010 - 2026) Analysis & Trends
For FY2025, Waste Connections posted Shares Outstanding of 257.32 million, down 0.2% from FY2024.
- Shares Outstanding has a five-year compound annual growth rate of -0.4% (FY2020 to FY2025).
- By year, 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%).
- The Q2 2026 figure ranks as the lowest quarterly Shares Outstanding since Q4 2016.
- Year over year, Shares Outstanding has now declined in each of the last four quarters, with an average decline of 0.4% over the last eight quarters.
- The high point for year-over-year 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 Q2 2026 came in at 255.35 million (Q1 2026), 257.32 million (Q4 2025) and 256.95 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Waste Management | 81.64 Bn | 80.55 Bn | 2.73 Bn | 401.50 Mn |
| 2 | Republic Services | 64.27 Bn | 63.89 Bn | 1.87 Bn | 307.50 Mn |
| 3 | Waste Connections | 38.82 Bn | 38.45 Bn | 1.08 Bn | 253.46 Mn |
| 4 | Clean Harbors | 16.38 Bn | 13.39 Bn | 608.78 Mn | 52.81 Mn |
| 5 | GFL Environmental | 15.51 Bn | 13.19 Bn | 385.80 Mn | 369.56 Mn |
| 6 | Casella Waste Systems | 5.03 Bn | 4.15 Bn | 178.80 Mn | 63.61 Mn |
| 7 | Onterris | 470.12 Mn | 429.40 Mn | 82.26 Mn | 35.81 Mn |
| 8 | Perma Fix Environmental Services | 331.90 Mn | 223.46 Mn | -2.50 Mn | 19.84 Mn |
| 9 | Deep Isolation Nuclear | 182.23 Mn | 182.23 Mn | 707,000.00 | 57.66 Mn |
| 10 | Comstock | 177.73 Mn | 181.05 Mn | -896,073.00 | 75.81 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 260.55 Mn |
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_KEY
import 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();