GFL Environmental (GFL) Non-Current Assets (2019 - 2026)
GFL Environmental's Non-Current Assets came in at $20.08 billion for Q2 2026, up 15.9% from $17.33 billion a year earlier and up 9.4% from the prior quarter.
Powered by 
Analysis
GFL Environmental (GFL) Non-Current Assets (2019 - 2026) Analysis & Trends
At the end of FY2025, GFL Environmental's Non-Current Assets was $12.98 billion, down 8.9% from FY2024.
- Non-Current Assets carries a five-year compound annual growth rate of 3.4% (FY2020 to FY2025).
- Going back by year, Non-Current Assets was $14.25 billion in FY2024 (+4.5%), $13.63 billion in FY2023 (-3.6%), $14.14 billion in FY2022 (+4.9%) and $13.49 billion in FY2021 (+22.9%).
- The Q2 2026 figure represents the highest quarterly Non-Current Assets in data going back to Q4 2019.
- Year-over-year, Non-Current Assets increased in four of the last eight quarters, with growth averaging 0.3%.
- The fastest year-over-year change in Non-Current Assets over five years came in Q2 2022 (growth of 22.5%), and the weakest in Q2 2025 (a decline of 7.2%).
- Business Quant data shows GFL's Non-Current Assets at $18.35 billion (Q1 2026), $13 billion (Q4 2025) and $17.99 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Waste Management | 82.59 Bn | 81.50 Bn | 2.73 Bn | 41.04 Bn |
| 2 | Republic Services | 65.21 Bn | 64.82 Bn | 1.87 Bn | 32.60 Bn |
| 3 | Waste Connections | 39.38 Bn | 39.00 Bn | 1.08 Bn | 20.00 Bn |
| 4 | Clean Harbors | 16.54 Bn | 13.55 Bn | 608.78 Mn | 5.36 Bn |
| 5 | GFL Environmental | 15.37 Bn | 13.05 Bn | 385.80 Mn | 20.08 Bn |
| 6 | Casella Waste Systems | 5.11 Bn | 4.23 Bn | 178.80 Mn | 3.24 Bn |
| 7 | Onterris | 512.61 Mn | 471.88 Mn | 82.26 Mn | 728.95 Mn |
| 8 | Perma Fix Environmental Services | 331.69 Mn | 223.25 Mn | -2.50 Mn | 56.07 Mn |
| 9 | Deep Isolation Nuclear | 204.72 Mn | 204.72 Mn | 707,000.00 | 706,000.00 |
| 10 | Comstock | 185.32 Mn | 188.64 Mn | -896,073.00 | 135.42 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 20.08 Bn |
| Mar 31, 2026 | 18.35 Bn |
| Dec 31, 2025 | 13.00 Bn |
| Sep 30, 2025 | 17.99 Bn |
| Jun 30, 2025 | 17.33 Bn |
| Mar 31, 2025 | 17.86 Bn |
| Dec 31, 2024 | 13.97 Bn |
| Sep 30, 2024 | 18.53 Bn |
| Jun 30, 2024 | 18.67 Bn |
| Mar 31, 2024 | 18.64 Bn |
| Dec 31, 2023 | 13.51 Bn |
| Sep 30, 2023 | 18.29 Bn |
| Jun 30, 2023 | 17.11 Bn |
| Mar 31, 2023 | 17.51 Bn |
| Dec 31, 2022 | 13.54 Bn |
| Sep 30, 2022 | 18.38 Bn |
| Jun 30, 2022 | 17.59 Bn |
| Mar 31, 2022 | 16.18 Bn |
| Dec 31, 2021 | 13.41 Bn |
| Sep 30, 2021 | 15.72 Bn |
API Access
GFL Environmental Non-Current Assets 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-assets&ticker=GFL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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-assets&ticker=GFL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();