GFL Environmental (GFL) Return on Sales [ROS] (2019 - 2026)
GFL Environmental (GFL) recorded Return on Sales [ROS] of -11.00% in Q2 2026, down 3.69 percentage points from -7.31% a year earlier.
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Analysis
GFL Environmental (GFL) Return on Sales [ROS] (2019 - 2026) Analysis & Trends
On a TTM basis, GFL Environmental's Return on Sales [ROS] came in at -9.38% as of Jun 30, 2026, down 0.75 percentage points year-over-year; for FY2025, it was -75.31%, up 24.90 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of -67.73 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at -100.22% in FY2024 (-104.15 pp), 3.93% in FY2023 (+23.30 pp), -19.37% in FY2022 (+6.18 pp) and -25.55% in FY2021 (-17.96 pp).
- Quarterly Return on Sales [ROS] has ranged from -58.41% in Q4 2022 to -6.43% in Q3 2025 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] rose in four of the last five quarters, with an average year-over-year change of +1.58 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 43.49 percentage points in Q4 2023, against a drop of 32.92 percentage points in Q4 2022 at the low end.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Waste Management | 81.78 Bn | 80.69 Bn | 2.73 Bn | 18.75% |
| 2 | Republic Services | 64.17 Bn | 63.79 Bn | 1.87 Bn | 20.34% |
| 3 | Waste Connections | 38.78 Bn | 38.40 Bn | 1.08 Bn | 17.08% |
| 4 | Clean Harbors | 16.83 Bn | 13.84 Bn | 608.78 Mn | 15.50% |
| 5 | GFL Environmental | 15.57 Bn | 13.25 Bn | 385.80 Mn | -11.00% |
| 6 | Casella Waste Systems | 5.19 Bn | 4.31 Bn | 178.80 Mn | 3.67% |
| 7 | Onterris | 445.90 Mn | 405.17 Mn | 82.26 Mn | 3.46% |
| 8 | Perma Fix Environmental Services | 329.99 Mn | 221.55 Mn | -2.50 Mn | -50.50% |
| 9 | Deep Isolation Nuclear | 184.53 Mn | 184.53 Mn | 707,000.00 | -245.94% |
| 10 | Comstock | 172.41 Mn | 175.73 Mn | -896,073.00 | -9,872.81% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -11.00% |
| Dec 31, 2025 | -11.91% |
| Sep 30, 2025 | -6.43% |
| Jun 30, 2025 | -7.31% |
| Dec 31, 2024 | -13.28% |
| Sep 30, 2024 | -10.62% |
| Jun 30, 2024 | -11.73% |
| Dec 31, 2023 | -14.91% |
| Jun 30, 2023 | -7.65% |
| Mar 31, 2023 | -12.33% |
| Dec 31, 2022 | -58.41% |
| Sep 30, 2022 | -12.33% |
| Jun 30, 2022 | -12.03% |
| Mar 31, 2022 | -18.97% |
| Dec 31, 2021 | -25.49% |
| Sep 30, 2021 | -15.46% |
| Jun 30, 2021 | -20.37% |
| Mar 31, 2021 | -22.89% |
| Dec 31, 2020 | -59.57% |
| Sep 30, 2020 | -11.54% |
API Access
GFL Environmental Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=GFL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=GFL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();