Waste Connections (WCN) Selling, General & Administrative (2015 - 2026)
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Analysis
Waste Connections (WCN) Selling, General & Administrative (2015 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Waste Management | 94.35 Bn | 93.19 Bn | 2.75 Bn | 655.00 Mn |
| 2 | Republic Services | 75.58 Bn | 75.19 Bn | 1.90 Bn | 447.00 Mn |
| 3 | Waste Connections | 47.47 Bn | 47.11 Bn | 1.14 Bn | 253.93 Mn |
| 4 | GFL Environmental | 17.11 Bn | 15.13 Bn | - | 277.20 Mn |
| 5 | Clean Harbors | 15.02 Bn | 12.36 Bn | 661.44 Mn | 217.09 Mn |
| 6 | Casella Waste Systems | 6.26 Bn | 5.38 Bn | 178.80 Mn | 63.17 Mn |
| 7 | Onterris | 777.82 Mn | 723.72 Mn | 88.27 Mn | 63.39 Mn |
| 8 | Perma Fix Environmental Services | 297.69 Mn | 190.43 Mn | 552,000.00 | 4.00 Mn |
| 9 | Comstock | 148.56 Mn | 7.78 Mn | -606,061.00 | 8.12 Mn |
| 10 | Deep Isolation Nuclear | 115.32 Mn | 115.32 Mn | 707,000.00 | 2.75 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 253.93 Mn |
| Jun 30, 2026 | 260.49 Mn |
| Mar 31, 2026 | 251.12 Mn |
| Dec 31, 2025 | 229.97 Mn |
| Sep 30, 2025 | 236.48 Mn |
| Jun 30, 2025 | 242.97 Mn |
| Mar 31, 2025 | 250.13 Mn |
| Dec 31, 2024 | 211.34 Mn |
| Sep 30, 2024 | 222.53 Mn |
| Jun 30, 2024 | 228.85 Mn |
| Mar 31, 2024 | 220.74 Mn |
| Dec 31, 2023 | 192.75 Mn |
| Sep 30, 2023 | 196.32 Mn |
| Jun 30, 2023 | 216.39 Mn |
| Mar 31, 2023 | 193.67 Mn |
| Dec 31, 2022 | 177.76 Mn |
| Sep 30, 2022 | 186.89 Mn |
| Jun 30, 2022 | 168.40 Mn |
| Mar 31, 2022 | 163.41 Mn |
| Dec 31, 2021 | 157.45 Mn |
API Access
Waste Connections Selling, General & Administrative 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=selling-general-and-administrative&ticker=WCN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=WCN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();