GFL Environmental (GFL) Prepaid Assets (2019 - 2026)
GFL Environmental (GFL) recorded Prepaid Assets of $214.6 million in Q2 2026, up 3.5% from $207.4 million a year earlier and up 39.8% from the prior quarter.
Powered by 
Analysis
GFL Environmental (GFL) Prepaid Assets (2019 - 2026) Analysis & Trends
At the end of FY2025, GFL Environmental reported Prepaid Assets of $129.26 million, down 41.1% from FY2024.
- Annual Prepaid Assets has a five-year compound annual growth rate of 5.3% (FY2020 to FY2025).
- Across earlier years, Prepaid Assets came in at $219.63 million in FY2024 (+33.7%), $164.24 million in FY2023 (+16.7%), $140.68 million in FY2022 (+3.3%) and $136.13 million in FY2021 (+36.4%).
- Quarterly Prepaid Assets has ranged from $129.51 million in Q4 2025 to $289.4 million in Q2 2024 over the past five years.
- On a year-over-year basis, Prepaid Assets rose in three of the last eight quarters, with an average decline of 8.1%.
- Peak year-over-year performance for Prepaid Assets in the last five years was growth of 32.6% in Q1 2023, against a decline of 39.8% in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $153.5 million (Q1 2026), $129.51 million (Q4 2025) and $265.1 million (Q3 2025).
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 214.60 Mn |
| Mar 31, 2026 | 153.50 Mn |
| Dec 31, 2025 | 129.51 Mn |
| Sep 30, 2025 | 265.10 Mn |
| Jun 30, 2025 | 207.40 Mn |
| Mar 31, 2025 | 248.50 Mn |
| Dec 31, 2024 | 215.26 Mn |
| Sep 30, 2024 | 281.30 Mn |
| Jun 30, 2024 | 289.40 Mn |
| Mar 31, 2024 | 253.60 Mn |
| Dec 31, 2023 | 162.77 Mn |
| Sep 30, 2023 | 248.00 Mn |
| Jun 30, 2023 | 250.90 Mn |
| Mar 31, 2023 | 202.40 Mn |
| Dec 31, 2022 | 134.74 Mn |
| Sep 30, 2022 | 189.00 Mn |
| Jun 30, 2022 | 194.80 Mn |
| Mar 31, 2022 | 152.60 Mn |
| Dec 31, 2021 | 135.34 Mn |
| Sep 30, 2021 | 165.60 Mn |
API Access
GFL Environmental Prepaid 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=prepaid-assets&ticker=GFL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-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=prepaid-assets&ticker=GFL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();