GFL Environmental (GFL) Amortization - Intangibles (2019 - 2026)
GFL Environmental (GFL) reported Amortization - Intangibles of $87.7 million for Q3 2026, up 34.3% from $65.3 million a year earlier and up 11.0% from the prior quarter.
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Analysis
GFL Environmental (GFL) Amortization - Intangibles (2019 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, GFL Environmental's Amortization - Intangibles came in at $314 million, up 21.3% year-over-year; for FY2025, it came in at $262.2 million, down 8.5% from FY2024.
- Amortization - Intangibles has a five-year compound annual growth rate of 19.5% (FY2020 to FY2025).
- By year, Amortization - Intangibles came in at $286.7 million in FY2024, $515.6 million in FY2022 (+12.7%) and $457.6 million in FY2021 (+325.7%).
- The Q3 2026 figure ranks as the highest quarterly Amortization - Intangibles since Q4 2023.
- Year over year, Amortization - Intangibles has now increased in each of the last four quarters, with growth averaging 2.0% over the last eight quarters.
- The high point for year-over-year Amortization - Intangibles in five years was Q3 2026 (growth of 34.3%); the low point was Q4 2024 (a decline of 32.4%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $79 million (Q2 2026), $72.6 million (Q1 2026) and $74.7 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Waste Management | 94.39 Bn | 93.32 Bn | 2.75 Bn |
| 2 | Republic Services | 75.41 Bn | 75.02 Bn | 1.90 Bn |
| 3 | Waste Connections | 47.83 Bn | 47.48 Bn | 1.14 Bn |
| 4 | GFL Environmental | 15.73 Bn | 15.73 Bn | 304.74 Mn |
| 5 | Clean Harbors | 15.30 Bn | 12.64 Bn | 661.44 Mn |
| 6 | Casella Waste Systems | 5.92 Bn | 5.24 Bn | 184.65 Mn |
| 7 | Onterris | 832.01 Mn | 777.91 Mn | 88.27 Mn |
| 8 | Enviri | 710.17 Mn | 67.28 Mn | -162.22 Mn |
| 9 | Oio | 619.48 Mn | 617.91 Mn | - |
| 10 | Perma Fix Environmental Services | 328.26 Mn | 221.00 Mn | 552,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 62.65 Mn |
| Jun 30, 2026 | 57.11 Mn |
| Mar 31, 2026 | 52.94 Mn |
| Dec 31, 2025 | 53.57 Mn |
| Sep 30, 2025 | 47.45 Mn |
| Jun 30, 2025 | 43.88 Mn |
| Mar 31, 2025 | 42.79 Mn |
| Dec 31, 2024 | 51.11 Mn |
| Sep 30, 2024 | 53.73 Mn |
| Jun 30, 2024 | 52.57 Mn |
| Mar 31, 2024 | 52.02 Mn |
| Dec 31, 2023 | 77.57 Mn |
| Sep 30, 2023 | 79.74 Mn |
| Jun 30, 2023 | 99.76 Mn |
| Mar 31, 2023 | 102.67 Mn |
| Dec 31, 2022 | 98.35 Mn |
| Sep 30, 2022 | 95.23 Mn |
| Jun 30, 2022 | 104.63 Mn |
| Mar 31, 2022 | 98.29 Mn |
| Dec 31, 2021 | 99.88 Mn |
API Access
GFL Environmental Amortization - Intangibles 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=amortization-intangibles&ticker=GFL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "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=amortization-intangibles&ticker=GFL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();