GFL Environmental (GFL) Total Non-Current Liabilities (2019 - 2026)
GFL Environmental's Total Non-Current Liabilities was $12.06 billion in Q2 2026, up 36.4% from $8.84 billion a year earlier and up 2.7% from the prior quarter.
GFL Environmental (GFL) Total Non-Current Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at GFL Environmental came in at $7.02 billion, down 11.3% from FY2024.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of 1.0% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $7.91 billion in FY2024 (unchanged), $7.92 billion in FY2023 (-6.7%), $8.48 billion in FY2022 (-4.2%) and $8.86 billion in FY2021 (+32.3%).
- The Q2 2026 figure marks the highest quarterly Total Non-Current Liabilities in data going back to Q4 2019.
- Compared with a year earlier, Total Non-Current Liabilities was higher in two of the last eight quarters, with growth averaging 0.5%.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q2 2026 (growth of 36.4%); the worst was Q2 2025 (a decline of 23.2%).
- Per Business Quant data, GFL's Total Non-Current Liabilities in the three quarters before Q2 2026 was $11.74 billion (Q1 2026), $7.04 billion (Q4 2025) and $9.58 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Waste Management | 82.84 Bn | 81.75 Bn | 2.73 Bn | 33.19 Bn |
| 2 | Republic Services | 64.88 Bn | 64.50 Bn | 1.87 Bn | 20.48 Bn |
| 3 | Waste Connections | 39.22 Bn | 38.85 Bn | 1.08 Bn | 12.82 Bn |
| 4 | Clean Harbors | 16.45 Bn | 13.46 Bn | 608.78 Mn | 3.75 Bn |
| 5 | GFL Environmental | 15.66 Bn | 13.34 Bn | 385.80 Mn | 12.06 Bn |
| 6 | Casella Waste Systems | 5.02 Bn | 4.14 Bn | 178.80 Mn | 1.78 Bn |
| 7 | Onterris | 495.05 Mn | 454.32 Mn | 82.26 Mn | 530.71 Mn |
| 8 | Perma Fix Environmental Services | 326.81 Mn | 218.37 Mn | -2.50 Mn | 16.13 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 | 34.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.06 Bn |
| Mar 31, 2026 | 11.74 Bn |
| Dec 31, 2025 | 7.04 Bn |
| Sep 30, 2025 | 9.58 Bn |
| Jun 30, 2025 | 8.84 Bn |
| Mar 31, 2025 | 9.23 Bn |
| Dec 31, 2024 | 7.76 Bn |
| Sep 30, 2024 | 10.37 Bn |
| Jun 30, 2024 | 11.51 Bn |
| Mar 31, 2024 | 10.99 Bn |
| Dec 31, 2023 | 7.85 Bn |
| Sep 30, 2023 | 10.62 Bn |
| Jun 30, 2023 | 9.56 Bn |
| Mar 31, 2023 | 11.33 Bn |
| Dec 31, 2022 | 8.13 Bn |
| Sep 30, 2022 | 11.15 Bn |
| Jun 30, 2022 | 10.57 Bn |
| Mar 31, 2022 | 9.80 Bn |
| Dec 31, 2021 | 8.80 Bn |
| Sep 30, 2021 | 11.21 Bn |
GFL Environmental Total Non-Current 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-non-current-liabilities&ticker=GFL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=GFL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();