Waste Connections (WCN) Long-Term Debt Repayments (2009 - 2026)
Waste Connections' Long-Term Debt Repayments was $845.92 million in Q3 2026, up 164.5% from $319.81 million a year earlier and up 154.4% from the prior quarter.
Powered by 
Analysis
Waste Connections (WCN) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Waste Connections' Long-Term Debt Repayments was $2.34 billion through Sep 30, 2026, up 2.2% year-over-year; for FY2025, it came in at $2.13 billion, down 34.4% from FY2024.
- Long-Term Debt Repayments shows a five-year compound annual growth rate of 6.7% (FY2020 to FY2025).
- In earlier years, Long-Term Debt Repayments was $3.25 billion in FY2024 (+58.1%), $2.05 billion in FY2023 (-33.2%), $3.07 billion in FY2022 (+62.4%) and $1.89 billion in FY2021 (+22.7%).
- The Q3 2026 figure marks the highest quarterly Long-Term Debt Repayments since Q2 2025.
- Compared with a year earlier, Long-Term Debt Repayments was higher in three of the last eight quarters, with growth averaging 0.3%.
- The best year-over-year quarter for Long-Term Debt Repayments over five years was Q1 2024 (growth of 322.1%); the worst was Q2 2026 (a decline of 64.9%).
- Per Business Quant data, WCN's Long-Term Debt Repayments in the three quarters before Q3 2026 was $332.48 million (Q2 2026), $843.9 million (Q1 2026) and $321.37 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Waste Management | 94.39 Bn | 93.32 Bn | 2.75 Bn | - |
| 2 | Republic Services | 75.41 Bn | 75.02 Bn | 1.90 Bn | 12.67 Bn |
| 3 | Waste Connections | 47.83 Bn | 47.48 Bn | 1.14 Bn | 845.92 Mn |
| 4 | GFL Environmental | 15.73 Bn | 15.73 Bn | 304.74 Mn | - |
| 5 | Clean Harbors | 15.30 Bn | 12.64 Bn | 661.44 Mn | 15.82 Mn |
| 6 | Casella Waste Systems | 5.92 Bn | 5.24 Bn | 184.65 Mn | 199.31 Mn |
| 7 | Onterris | 832.01 Mn | 777.91 Mn | 88.27 Mn | 4.65 Mn |
| 8 | Enviri | 710.17 Mn | 67.28 Mn | -162.22 Mn | 2.27 Mn |
| 9 | Oio | 619.48 Mn | 617.91 Mn | - | - |
| 10 | Perma Fix Environmental Services | 328.26 Mn | 221.00 Mn | 552,000.00 | 127,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 845.92 Mn |
| Jun 30, 2026 | 332.48 Mn |
| Mar 31, 2026 | 843.90 Mn |
| Dec 31, 2025 | 321.37 Mn |
| Sep 30, 2025 | 319.81 Mn |
| Jun 30, 2025 | 947.05 Mn |
| Mar 31, 2025 | 541.74 Mn |
| Dec 31, 2024 | 485.74 Mn |
| Sep 30, 2024 | 524.68 Mn |
| Jun 30, 2024 | 884.07 Mn |
| Mar 31, 2024 | 1.35 Bn |
| Dec 31, 2023 | 668.74 Mn |
| Sep 30, 2023 | 615.36 Mn |
| Jun 30, 2023 | 448.03 Mn |
| Mar 31, 2023 | 320.03 Mn |
| Dec 31, 2022 | 1.02 Bn |
| Sep 30, 2022 | 1.13 Bn |
| Jun 30, 2022 | 414.51 Mn |
| Mar 31, 2022 | 505.60 Mn |
| Dec 31, 2021 | 79.07 Mn |
API Access
Waste Connections Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=WCN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=WCN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();