Waste Connections (WCN) Total Liabilities (2010 - 2026)
Waste Connections (WCN) reported Total Liabilities of $13.48 billion for Q2 2026, up 9.4% from $12.32 billion a year earlier and up 2.7% from the prior quarter.
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Analysis
Waste Connections (WCN) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Waste Connections posted Total Liabilities of $12.88 billion, up 7.7% from FY2024.
- Total Liabilities has increased for 12 consecutive years, with a five-year compound annual growth rate of 12.6% (FY2020 to FY2025).
- By year, Total Liabilities came in at $11.96 billion in FY2024 (+17.0%), $10.22 billion in FY2023 (+2.0%), $10.02 billion in FY2022 (+30.0%) and $7.71 billion in FY2021 (+8.1%).
- The Q2 2026 figure ranks as the highest quarterly Total Liabilities in data going back to Q4 2010.
- Year over year, Total Liabilities has now increased in each of the last 21 quarters, with growth averaging 10.3% over the last eight quarters.
- Across the past five years, year-over-year growth in Total Liabilities ran from 2.0% in Q4 2023 to 30.0% in Q4 2022.
- Per Business Quant data, the three quarters before Q2 2026 came in at $13.13 billion (Q1 2026), $12.88 billion (Q4 2025) and $12.69 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Waste Management | 82.59 Bn | 81.50 Bn | 2.73 Bn | 36.52 Bn |
| 2 | Republic Services | 65.21 Bn | 64.82 Bn | 1.87 Bn | 23.13 Bn |
| 3 | Waste Connections | 39.38 Bn | 39.00 Bn | 1.08 Bn | 13.48 Bn |
| 4 | Clean Harbors | 16.54 Bn | 13.55 Bn | 608.78 Mn | 4.91 Bn |
| 5 | GFL Environmental | 15.37 Bn | 13.05 Bn | 385.80 Mn | 13.99 Bn |
| 6 | Casella Waste Systems | 5.11 Bn | 4.23 Bn | 178.80 Mn | 1.98 Bn |
| 7 | Onterris | 512.61 Mn | 471.88 Mn | 82.26 Mn | 536.90 Mn |
| 8 | Perma Fix Environmental Services | 331.69 Mn | 223.25 Mn | -2.50 Mn | 43.51 Mn |
| 9 | Deep Isolation Nuclear | 204.72 Mn | 204.72 Mn | 707,000.00 | 1.98 Mn |
| 10 | Comstock | 185.32 Mn | 188.64 Mn | -896,073.00 | 52.88 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.48 Bn |
| Mar 31, 2026 | 13.13 Bn |
| Dec 31, 2025 | 12.88 Bn |
| Sep 30, 2025 | 12.69 Bn |
| Jun 30, 2025 | 12.32 Bn |
| Mar 31, 2025 | 12.24 Bn |
| Dec 31, 2024 | 11.96 Bn |
| Sep 30, 2024 | 11.83 Bn |
| Jun 30, 2024 | 11.32 Bn |
| Mar 31, 2024 | 11.29 Bn |
| Dec 31, 2023 | 10.22 Bn |
| Sep 30, 2023 | 10.14 Bn |
| Jun 30, 2023 | 9.90 Bn |
| Mar 31, 2023 | 9.99 Bn |
| Dec 31, 2022 | 10.02 Bn |
| Sep 30, 2022 | 9.19 Bn |
| Jun 30, 2022 | 8.55 Bn |
| Mar 31, 2022 | 8.66 Bn |
| Dec 31, 2021 | 7.71 Bn |
| Sep 30, 2021 | 7.39 Bn |
API Access
Waste Connections Total Liabilities 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=total-liabilities&ticker=WCN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=WCN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();