GFL Environmental (GFL) Total Liabilities (2019 - 2026)
GFL Environmental (GFL) posted Total Liabilities of $13.99 billion for Q2 2026, up 31.5% from $10.64 billion a year earlier and up 4.3% from the prior quarter.
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Analysis
GFL Environmental (GFL) Total Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, GFL Environmental's Total Liabilities came in at $8.45 billion, down 17.3% from FY2024.
- In prior years, GFL Environmental's Total Liabilities was $10.22 billion in FY2024 (+10.3%), $9.26 billion in FY2023 (-12.3%), $10.56 billion in FY2022 and -$3.63 billion in FY2021.
- The Q2 2026 figure stands as the highest quarterly Total Liabilities in data going back to Q1 2019.
- On a year-over-year basis, Total Liabilities increased in four of the last eight quarters, with growth averaging 0.9%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q2 2026, with growth of 31.5%; the weakest was Q2 2025, with a decline of 20.1%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $13.41 billion (Q1 2026), $8.47 billion (Q4 2025) and $11.55 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Waste Management | 82.59 Bn | 81.50 Bn | 2.73 Bn | 36.52 Bn |
| 2 | Republic Services | 65.21 Bn | 64.82 Bn | 1.87 Bn | 23.13 Bn |
| 3 | Waste Connections | 39.38 Bn | 39.00 Bn | 1.08 Bn | 13.48 Bn |
| 4 | Clean Harbors | 16.54 Bn | 13.55 Bn | 608.78 Mn | 4.91 Bn |
| 5 | GFL Environmental | 15.37 Bn | 13.05 Bn | 385.80 Mn | 13.99 Bn |
| 6 | Casella Waste Systems | 5.11 Bn | 4.23 Bn | 178.80 Mn | 1.98 Bn |
| 7 | Onterris | 512.61 Mn | 471.88 Mn | 82.26 Mn | 536.90 Mn |
| 8 | Perma Fix Environmental Services | 331.69 Mn | 223.25 Mn | -2.50 Mn | 43.51 Mn |
| 9 | Deep Isolation Nuclear | 204.72 Mn | 204.72 Mn | 707,000.00 | 1.98 Mn |
| 10 | Comstock | 185.32 Mn | 188.64 Mn | -896,073.00 | 52.88 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.99 Bn |
| Mar 31, 2026 | 13.41 Bn |
| Dec 31, 2025 | 8.47 Bn |
| Sep 30, 2025 | 11.55 Bn |
| Jun 30, 2025 | 10.64 Bn |
| Mar 31, 2025 | 11.18 Bn |
| Dec 31, 2024 | 10.01 Bn |
| Sep 30, 2024 | 13.13 Bn |
| Jun 30, 2024 | 13.32 Bn |
| Mar 31, 2024 | 12.66 Bn |
| Dec 31, 2023 | 9.18 Bn |
| Sep 30, 2023 | 12.38 Bn |
| Jun 30, 2023 | 11.43 Bn |
| Mar 31, 2023 | 12.87 Bn |
| Dec 31, 2022 | 10.11 Bn |
| Sep 30, 2022 | 13.69 Bn |
| Jun 30, 2022 | 12.97 Bn |
| Mar 31, 2022 | 12.24 Bn |
| Dec 31, 2021 | -3.61 Bn |
| Sep 30, 2021 | -4.13 Bn |
API Access
GFL Environmental Total 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-liabilities&ticker=GFL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=GFL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();