GFL Environmental (GFL) Interest Expenses (2019 - 2026)
GFL Environmental's Interest Expenses came in at $163.9 million for Q2 2026, up 35.3% from $121.1 million a year earlier and up 17.4% from the prior quarter.
GFL Environmental (GFL) Interest Expenses (2019 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, GFL Environmental reported Interest Expenses of $567.2 million, down 15.1% year-over-year; for FY2025, it came in at $427.14 million, down 13.3% from FY2024.
- Interest Expenses carries a five-year compound annual growth rate of -0.9% (FY2020 to FY2025).
- Going back by year, Interest Expenses was $492.95 million in FY2024 (+6.0%), $464.86 million in FY2023 (+22.6%), $379.05 million in FY2022 (+9.4%) and $346.39 million in FY2021 (-22.4%).
- The Q2 2026 figure represents the highest quarterly Interest Expenses since Q1 2025.
- Year-over-year, Interest Expenses increased in four of the last eight quarters, with an average decline of 1.4%.
- The fastest year-over-year change in Interest Expenses over five years came in Q1 2023 (growth of 59.6%), and the weakest in Q2 2025 (a decline of 35.2%).
- Business Quant data shows GFL's Interest Expenses at $139.6 million (Q1 2026), $134.5 million (Q4 2025) and $129.2 million (Q3 2025) in the three quarters before Q2 2026.
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
| Date | Value |
|---|---|
| Jun 30, 2026 | 163.90 Mn |
| Mar 31, 2026 | 139.60 Mn |
| Dec 31, 2025 | 134.50 Mn |
| Sep 30, 2025 | 129.20 Mn |
| Jun 30, 2025 | 121.10 Mn |
| Mar 31, 2025 | 212.00 Mn |
| Dec 31, 2024 | 165.20 Mn |
| Sep 30, 2024 | 169.80 Mn |
| Jun 30, 2024 | 186.90 Mn |
| Mar 31, 2024 | 153.00 Mn |
| Dec 31, 2023 | 160.50 Mn |
| Sep 30, 2023 | 137.20 Mn |
| Jun 30, 2023 | 164.80 Mn |
| Mar 31, 2023 | 164.70 Mn |
| Dec 31, 2022 | 148.60 Mn |
| Sep 30, 2022 | 136.20 Mn |
| Jun 30, 2022 | 104.80 Mn |
| Mar 31, 2022 | 103.20 Mn |
| Dec 31, 2021 | 105.20 Mn |
| Sep 30, 2021 | 97.00 Mn |
GFL Environmental 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=GFL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "GFL", "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=GFL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();