GFL Environmental (GFL) Return on Assets [ROA] (2020 - 2026)
GFL Environmental's Return on Assets [ROA] came in at -1.18% for Q2 2026, down 20.01 percentage points from 18.83% a year earlier and down 2.17 percentage points from the prior quarter.
GFL Environmental (GFL) Return on Assets [ROA] (2020 - 2026) Analysis & Trends
For FY2025, GFL Environmental's Return on Assets [ROA] was 18.63%, up 22.20 percentage points from FY2024.
- Return on Assets [ROA] carries a five-year change of +34.64 percentage points (FY2020 to FY2025).
- Going back by year, Return on Assets [ROA] was -3.57% in FY2024 (-3.72 pp), 0.16% in FY2023 (+3.12 pp), -2.96% in FY2022 (+46.10 pp) and -49.06% in FY2021 (-33.05 pp).
- The Q2 2026 figure represents the lowest quarterly Return on Assets [ROA] since Q4 2024.
- Year-over-year, Return on Assets [ROA] increased in four of the last eight quarters, with an average year-over-year change of +5.63 percentage points.
- The fastest year-over-year change in Return on Assets [ROA] over five years came in Q3 2022 (a gain of 37.81 percentage points), and the weakest in Q2 2026 (a drop of 20.01 percentage points).
- Business Quant data shows GFL's Return on Assets [ROA] at 1.00% (Q1 2026), 22.89% (Q4 2025) and 18.88% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Waste Management | 81.64 Bn | 80.55 Bn | 2.73 Bn | 6.19% |
| 2 | Republic Services | 64.27 Bn | 63.89 Bn | 1.87 Bn | 6.26% |
| 3 | Waste Connections | 38.82 Bn | 38.45 Bn | 1.08 Bn | 4.98% |
| 4 | Clean Harbors | 16.38 Bn | 13.39 Bn | 608.78 Mn | 5.71% |
| 5 | GFL Environmental | 15.51 Bn | 13.19 Bn | 385.80 Mn | -1.18% |
| 6 | Casella Waste Systems | 5.03 Bn | 4.15 Bn | 178.80 Mn | 0.17% |
| 7 | Onterris | 470.12 Mn | 429.40 Mn | 82.26 Mn | -1.17% |
| 8 | Perma Fix Environmental Services | 331.90 Mn | 223.46 Mn | -2.50 Mn | -23.08% |
| 9 | Deep Isolation Nuclear | 182.23 Mn | 182.23 Mn | 707,000.00 | -52.82% |
| 10 | Comstock | 177.73 Mn | 181.05 Mn | -896,073.00 | -29.70% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1.18% |
| Mar 31, 2026 | 1.00% |
| Dec 31, 2025 | 22.89% |
| Sep 30, 2025 | 18.88% |
| Jun 30, 2025 | 18.83% |
| Mar 31, 2025 | 16.42% |
| Dec 31, 2024 | -4.18% |
| Sep 30, 2024 | -2.97% |
| Jun 30, 2024 | -3.44% |
| Mar 31, 2024 | 0.42% |
| Dec 31, 2023 | 0.19% |
| Sep 30, 2023 | -0.65% |
| Jun 30, 2023 | -1.70% |
| Mar 31, 2023 | -1.96% |
| Dec 31, 2022 | -0.53% |
| Sep 30, 2022 | 0.26% |
| Jun 30, 2022 | 2.93% |
| Mar 31, 2022 | 3.41% |
| Dec 31, 2021 | 1.10% |
| Sep 30, 2021 | -37.55% |
GFL Environmental Return on Assets [ROA] 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=return-on-assets-%5Broa%5D&ticker=GFL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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=return-on-assets-%5Broa%5D&ticker=GFL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();