Waste Connections (WCN) Interest Expenses (2015 - 2026)
Waste Connections' Interest Expenses was $91.2 million in Q2 2026, up 10.2% from $82.75 million a year earlier and up 4.0% from the prior quarter.
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Analysis
Waste Connections (WCN) Interest Expenses (2015 - 2026) Analysis & Trends
On a trailing twelve-month basis, Waste Connections' Interest Expenses was $349.85 million through Jun 30, 2026, up 6.2% year-over-year; for FY2025, it came in at $334.55 million, up 2.4% from FY2024.
- Interest Expenses has now increased for ten consecutive years, with a five-year compound annual growth rate of 15.6% (FY2020 to FY2025).
- In earlier years, Interest Expenses was $326.8 million in FY2024 (+19.0%), $274.64 million in FY2023 (+35.7%), $202.33 million in FY2022 (+24.3%) and $162.8 million in FY2021 (+0.3%).
- The Q2 2026 figure marks the highest quarterly Interest Expenses in data going back to Q2 2015.
- Compared with a year earlier, Interest Expenses has increased for 17 straight quarters, with growth averaging 8.4% over the last eight quarters.
- The best year-over-year quarter for Interest Expenses over five years was Q4 2022 (growth of 67.7%); the worst was Q4 2021 (a decline of 9.8%).
- Per Business Quant data, WCN's Interest Expenses in the three quarters before Q2 2026 was $87.72 million (Q1 2026), $86.48 million (Q4 2025) and $84.45 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Waste Management | 81.64 Bn | 80.55 Bn | 2.73 Bn | - |
| 2 | Republic Services | 64.27 Bn | 63.89 Bn | 1.87 Bn | 151.00 Mn |
| 3 | Waste Connections | 38.82 Bn | 38.45 Bn | 1.08 Bn | 91.20 Mn |
| 4 | Clean Harbors | 16.38 Bn | 13.39 Bn | 608.78 Mn | - |
| 5 | GFL Environmental | 15.51 Bn | 13.19 Bn | 385.80 Mn | 163.90 Mn |
| 6 | Casella Waste Systems | 5.03 Bn | 4.15 Bn | 178.80 Mn | 17.94 Mn |
| 7 | Onterris | 470.12 Mn | 429.40 Mn | 82.26 Mn | - |
| 8 | Perma Fix Environmental Services | 331.90 Mn | 223.46 Mn | -2.50 Mn | 94,000.00 |
| 9 | Deep Isolation Nuclear | 182.23 Mn | 182.23 Mn | 707,000.00 | - |
| 10 | Comstock | 177.73 Mn | 181.05 Mn | -896,073.00 | 222,406.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 91.20 Mn |
| Mar 31, 2026 | 87.72 Mn |
| Dec 31, 2025 | 86.48 Mn |
| Sep 30, 2025 | 84.45 Mn |
| Jun 30, 2025 | 82.75 Mn |
| Mar 31, 2025 | 80.88 Mn |
| Dec 31, 2024 | 82.42 Mn |
| Sep 30, 2024 | 83.52 Mn |
| Jun 30, 2024 | 82.38 Mn |
| Mar 31, 2024 | 78.49 Mn |
| Dec 31, 2023 | 69.73 Mn |
| Sep 30, 2023 | 69.02 Mn |
| Jun 30, 2023 | 67.55 Mn |
| Mar 31, 2023 | 68.35 Mn |
| Dec 31, 2022 | 64.77 Mn |
| Sep 30, 2022 | 51.16 Mn |
| Jun 30, 2022 | 45.08 Mn |
| Mar 31, 2022 | 41.32 Mn |
| Dec 31, 2021 | 38.63 Mn |
| Sep 30, 2021 | 40.42 Mn |
API Access
Waste Connections Interest Expenses 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=interest-expenses&ticker=WCN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=WCN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();