GFL Environmental (GFL) Depreciation and Depletion (2019 - 2026)
GFL Environmental's Depreciation and Depletion 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 and Depletion (2019 - 2026) Analysis & Trends
On a trailing twelve-month basis, GFL Environmental's Depreciation and Depletion was $1.12 billion through Jun 30, 2026, up 1.1% year-over-year; for FY2025, it came in at $754.3 million, down 8.3% from FY2024.
- Depreciation and Depletion shows a five-year compound annual growth rate of 4.5% (FY2020 to FY2025).
- In earlier years, Depreciation and Depletion was $822.94 million in FY2024 (+10.5%), $744.43 million in FY2023 (-4.1%), $775.86 million in FY2022 (+4.3%) and $743.53 million in FY2021 (+22.9%).
- The Q2 2026 figure marks the highest quarterly Depreciation and Depletion since Q4 2020.
- Compared with a year earlier, Depreciation and Depletion was higher in five of the last eight quarters, with growth averaging 2.8%.
- The best year-over-year quarter for Depreciation and Depletion over five years was Q3 2021 (growth of 82.6%); the worst was Q4 2021 (a decline of 36.6%).
- Per Business Quant data, GFL's Depreciation and Depletion 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. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Waste Management | 80.76 Bn | 79.67 Bn | 2.73 Bn | - |
| 2 | Republic Services | 63.36 Bn | 62.98 Bn | 1.87 Bn | - |
| 3 | Waste Connections | 38.00 Bn | 37.62 Bn | 1.08 Bn | 278.28 Mn |
| 4 | Clean Harbors | 16.50 Bn | 13.51 Bn | 608.78 Mn | - |
| 5 | GFL Environmental | 15.00 Bn | 12.68 Bn | 385.80 Mn | 309.50 Mn |
| 6 | Casella Waste Systems | 4.89 Bn | 4.01 Bn | 178.80 Mn | - |
| 7 | Onterris | 446.25 Mn | 405.52 Mn | 82.26 Mn | 3.40 Mn |
| 8 | Perma Fix Environmental Services | 326.81 Mn | 218.37 Mn | -2.50 Mn | - |
| 9 | Deep Isolation Nuclear | 201.83 Mn | 201.83 Mn | 707,000.00 | 4,000.00 |
| 10 | Comstock | 171.65 Mn | 174.97 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 | 295.40 Mn |
| Sep 30, 2024 | 289.00 Mn |
| Jun 30, 2024 | 287.30 Mn |
| Mar 31, 2024 | 255.00 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 | 271.90 Mn |
| Sep 30, 2022 | 264.00 Mn |
| Jun 30, 2022 | 241.10 Mn |
| Mar 31, 2022 | 231.70 Mn |
| Dec 31, 2021 | 278.90 Mn |
| Sep 30, 2021 | 227.50 Mn |
GFL Environmental Depreciation and Depletion 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-depletion&ticker=GFL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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-depletion&ticker=GFL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();