GFL Environmental (GFL) Non-Current Debt (2019 - 2025)
GFL Environmental's Non-Current Debt was -$2.08 million in FY2025, compared with -$4.24 million in FY2024.
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Analysis
GFL Environmental (GFL) Non-Current Debt (2019 - 2025) Analysis & Trends
From FY2018 onward, GFL Environmental has reported Non-Current Debt for 8 years.
- The FY2025 figure marks the highest annual Non-Current Debt in data going back to FY2018.
- Per Business Quant data, Non-Current Debt in earlier years was -$4.24 million in FY2024, -$6.89 million in FY2023, -$9.85 million in FY2022 and -$10.21 million in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Waste Management | 82.84 Bn | 81.75 Bn | 2.73 Bn | 22.28 Bn |
| 2 | Republic Services | 64.88 Bn | 64.50 Bn | 1.87 Bn | 13.52 Bn |
| 3 | Waste Connections | 39.22 Bn | 38.85 Bn | 1.08 Bn | 9.28 Bn |
| 4 | Clean Harbors | 16.45 Bn | 13.46 Bn | 608.78 Mn | 2.76 Bn |
| 5 | GFL Environmental | 15.66 Bn | 13.34 Bn | 385.80 Mn | - |
| 6 | Casella Waste Systems | 5.02 Bn | 4.14 Bn | 178.80 Mn | 1.33 Bn |
| 7 | Onterris | 495.05 Mn | 454.32 Mn | 82.26 Mn | 337.77 Mn |
| 8 | Perma Fix Environmental Services | 326.81 Mn | 218.37 Mn | -2.50 Mn | 1.36 Mn |
| 9 | Deep Isolation Nuclear | 204.72 Mn | 204.72 Mn | 707,000.00 | - |
| 10 | Comstock | 179.25 Mn | 182.57 Mn | -896,073.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 5.32 Bn |
| Mar 31, 2025 | 7.42 Bn |
| Dec 31, 2024 | 6.34 Bn |
| Sep 30, 2024 | 9.52 Bn |
| Jun 30, 2024 | 9.67 Bn |
| Mar 31, 2024 | 10.00 Bn |
| Dec 31, 2023 | 6.48 Bn |
| Dec 31, 2022 | 6.81 Bn |
| Mar 31, 2022 | 8.02 Bn |
| Dec 31, 2021 | 6.33 Bn |
| Mar 31, 2021 | 7.98 Bn |
| Dec 31, 2020 | 4.73 Bn |
| Mar 31, 2020 | 4.73 Bn |
| Dec 31, 2019 | 5.73 Bn |
API Access
GFL Environmental Non-Current Debt 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=non-current-debt&ticker=GFL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=GFL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();