GFL Environmental (GFL) Other Non-Current Liabilities (2019 - 2026)
GFL Environmental (GFL) posted Other Non-Current Liabilities of $37.1 million for Q2 2026, up 11.1% from $33.4 million a year earlier and up 7.5% from the prior quarter.
GFL Environmental (GFL) Other Non-Current Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, GFL Environmental's Other Non-Current Liabilities came in at $24.69 million, down 18.7% from FY2024.
- Annual Other Non-Current Liabilities shows a five-year compound annual growth rate of -2.3% (FY2020 to FY2025).
- In prior years, GFL Environmental's Other Non-Current Liabilities was $30.38 million in FY2024 (+4.8%), $28.98 million in FY2023 (-20.7%), $36.54 million in FY2022 (+11.7%) and $32.72 million in FY2021 (+17.8%).
- The Q2 2026 figure stands as the highest quarterly Other Non-Current Liabilities since Q3 2024.
- On a year-over-year basis, Other Non-Current Liabilities increased in four of the last eight quarters, with an average decline of 4.6%.
- The strongest year-over-year quarter for Other Non-Current Liabilities in the past five years was Q3 2021, with growth of 294.0%; the weakest was Q3 2023, with a decline of 21.9%.
- According to Business Quant data, Other Non-Current Liabilities for the three prior quarters was $34.5 million (Q1 2026), $24.74 million (Q4 2025) and $34.8 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 3 | Waste Connections | 38.82 Bn | 38.45 Bn | 1.08 Bn |
| 4 | Clean Harbors | 16.38 Bn | 13.39 Bn | 608.78 Mn |
| 5 | GFL Environmental | 15.51 Bn | 13.19 Bn | 385.80 Mn |
| 6 | Casella Waste Systems | 5.03 Bn | 4.15 Bn | 178.80 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 |
| 9 | Deep Isolation Nuclear | 182.23 Mn | 182.23 Mn | 707,000.00 |
| 10 | Comstock | 177.73 Mn | 181.05 Mn | -896,073.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 37.10 Mn |
| Mar 31, 2026 | 34.50 Mn |
| Dec 31, 2025 | 24.74 Mn |
| Sep 30, 2025 | 34.80 Mn |
| Jun 30, 2025 | 33.40 Mn |
| Mar 31, 2025 | 31.20 Mn |
| Dec 31, 2024 | 29.78 Mn |
| Sep 30, 2024 | 40.00 Mn |
| Jun 30, 2024 | 39.80 Mn |
| Mar 31, 2024 | 37.40 Mn |
| Dec 31, 2023 | 28.72 Mn |
| Sep 30, 2023 | 39.90 Mn |
| Jun 30, 2023 | 40.10 Mn |
| Mar 31, 2023 | 43.10 Mn |
| Dec 31, 2022 | 34.99 Mn |
| Sep 30, 2022 | 51.10 Mn |
| Jun 30, 2022 | 51.00 Mn |
| Mar 31, 2022 | 39.80 Mn |
| Dec 31, 2021 | 32.53 Mn |
| Sep 30, 2021 | 39.40 Mn |
GFL Environmental Other 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=other-non-current-liabilities&ticker=GFL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-non-current-liabilities&ticker=GFL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();