GFL Environmental (GFL) Operating Income (2019 - 2026)
GFL Environmental's Operating Income came in at $621.3 million for Q3 2026, up 5.5% from $588.9 million a year earlier and up 68.6% from the prior quarter.
GFL Environmental (GFL) Operating Income (2019 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, GFL Environmental reported Operating Income of $1.72 billion, down 0.2% year-over-year; for FY2025, it came in at $2.14 billion, up 159.0% from FY2024.
- Operating Income carries a five-year compound annual growth rate of 202.8% (FY2020 to FY2025).
- Going back by year, Operating Income was $825.5 million in FY2024 (+276.9%), $219.01 million in FY2023 (-86.7%), $1.65 billion in FY2022 (+54.8%) and $1.07 billion in FY2021.
- The Q3 2026 figure represents the highest quarterly Operating Income since Q2 2025.
- Year-over-year, Operating Income increased in four of the last seven quarters, with growth averaging 23.1%.
- The fastest year-over-year change in Operating Income over five years came in Q1 2022 (growth of 521.1%), and the weakest in Q4 2024 (a decline of 69.5%).
- Business Quant data shows GFL's Operating Income at $368.4 million (Q2 2026), $213.7 million (Q1 2026) and $516.2 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Waste Management | 94.39 Bn | 93.32 Bn | 2.75 Bn | 1.28 Bn |
| 2 | Republic Services | 75.41 Bn | 75.02 Bn | 1.90 Bn | 921.00 Mn |
| 3 | Waste Connections | 47.83 Bn | 47.48 Bn | 1.14 Bn | 541.75 Mn |
| 4 | GFL Environmental | 15.73 Bn | 15.73 Bn | 304.74 Mn | 443.82 Mn |
| 5 | Clean Harbors | 15.30 Bn | 12.64 Bn | 661.44 Mn | 318.11 Mn |
| 6 | Casella Waste Systems | 5.92 Bn | 5.24 Bn | 184.65 Mn | 15.65 Mn |
| 7 | Onterris | 832.01 Mn | 777.91 Mn | 88.27 Mn | 12.28 Mn |
| 8 | Enviri | 710.17 Mn | 67.28 Mn | -162.22 Mn | 23.55 Mn |
| 9 | Oio | 619.48 Mn | 617.91 Mn | - | - |
| 10 | Perma Fix Environmental Services | 328.26 Mn | 221.00 Mn | 552,000.00 | -3.67 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 443.82 Mn |
| Jun 30, 2026 | 266.33 Mn |
| Mar 31, 2026 | 155.83 Mn |
| Dec 31, 2025 | 370.16 Mn |
| Sep 30, 2025 | 427.92 Mn |
| Jun 30, 2025 | 524.61 Mn |
| Mar 31, 2025 | 183.57 Mn |
| Dec 31, 2024 | 102.37 Mn |
| Sep 30, 2024 | 406.18 Mn |
| Jun 30, 2024 | -58.56 Mn |
| Mar 31, 2024 | 154.73 Mn |
| Dec 31, 2023 | 344.94 Mn |
| Sep 30, 2023 | 363.04 Mn |
| Jun 30, 2023 | 796.04 Mn |
| Mar 31, 2023 | 209.63 Mn |
| Dec 31, 2022 | 224.11 Mn |
| Sep 30, 2022 | 203.11 Mn |
| Jun 30, 2022 | 403.15 Mn |
| Mar 31, 2022 | 447.16 Mn |
| Dec 31, 2021 | 324.63 Mn |
GFL Environmental Operating Income 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=operating-income&ticker=GFL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-income", "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=operating-income&ticker=GFL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();