GFL Environmental (GFL) Depreciation & Amortization - Total (2019 - 2026)
GFL Environmental's Depreciation & Amortization - Total was $309.5 million in Q2 2026, up 18.1% from $262.1 million a year earlier and up 13.1% from the prior quarter.
GFL Environmental (GFL) Depreciation & Amortization - Total (2019 - 2026) Analysis & Trends
On a trailing twelve-month basis, GFL Environmental's Depreciation & Amortization - Total was $1.12 billion through Jun 30, 2026, up 7.5% year-over-year; for FY2022, it was $1 billion, up 10.1% from FY2021.
- In earlier years, Depreciation & Amortization - Total was $911.9 million in FY2021.
- The Q2 2026 figure marks the highest quarterly Depreciation & Amortization - Total since Q4 2022.
- Compared with a year earlier, Depreciation & Amortization - Total has increased for six straight quarters, with growth averaging 5.8% over the last eight quarters.
- The best year-over-year quarter for Depreciation & Amortization - Total over five years was Q4 2022 (growth of 259.9%); the worst was Q4 2023 (a decline of 71.7%).
- Per Business Quant data, GFL's Depreciation & Amortization - Total in the three quarters before Q2 2026 was $273.7 million (Q1 2026), $265.7 million (Q4 2025) and $268.2 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Tot) (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 | 278.28 Mn |
| 4 | Clean Harbors | 16.38 Bn | 13.39 Bn | 608.78 Mn | - |
| 5 | GFL Environmental | 15.51 Bn | 13.19 Bn | 385.80 Mn | 309.50 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 | 3.40 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 | 4,000.00 |
| 10 | Comstock | 177.73 Mn | 181.05 Mn | -896,073.00 | 348,798.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 309.50 Mn |
| Mar 31, 2026 | 273.70 Mn |
| Dec 31, 2025 | 265.70 Mn |
| Sep 30, 2025 | 268.20 Mn |
| Jun 30, 2025 | 262.10 Mn |
| Mar 31, 2025 | 257.90 Mn |
| Dec 31, 2024 | 263.00 Mn |
| Sep 30, 2024 | 256.30 Mn |
| Jun 30, 2024 | 252.20 Mn |
| Mar 31, 2024 | 225.40 Mn |
| Dec 31, 2023 | 284.50 Mn |
| Sep 30, 2023 | 242.30 Mn |
| Jun 30, 2023 | 237.80 Mn |
| Mar 31, 2023 | 239.80 Mn |
| Dec 31, 2022 | 1.00 Bn |
| Sep 30, 2022 | 264.00 Mn |
| Jun 30, 2022 | 241.10 Mn |
| Mar 31, 2022 | 227.00 Mn |
| Dec 31, 2021 | 278.90 Mn |
| Sep 30, 2021 | 227.50 Mn |
GFL Environmental Depreciation & Amortization - Total 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=depreciation-and-amortization-total&ticker=GFL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-total", "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=depreciation-and-amortization-total&ticker=GFL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();