GFL Environmental (GFL) Receivables (2019 - 2026)
GFL Environmental's Receivables was $983.3 million in Q2 2026, up 17.0% from $840.6 million a year earlier and up 13.9% from the prior quarter.
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Analysis
GFL Environmental (GFL) Receivables (2019 - 2026) Analysis & Trends
At the end of FY2025, Receivables at GFL Environmental came in at $574.01 million, down 33.1% from FY2024.
- Receivables shows a five-year compound annual growth rate of -3.0% (FY2020 to FY2025).
- In earlier years, Receivables was $858.29 million in FY2024 (+7.2%), $800.46 million in FY2023 (-6.9%), $860 million in FY2022 (-4.8%) and $902.94 million in FY2021 (+35.0%).
- The Q2 2026 figure marks the highest quarterly Receivables since Q3 2024.
- Compared with a year earlier, Receivables was higher in four of the last eight quarters, with an average decline of 10.0%.
- The best year-over-year quarter for Receivables over five years was Q3 2021 (growth of 43.5%); the worst was Q4 2025 (a decline of 31.6%).
- Per Business Quant data, GFL's Receivables in the three quarters before Q2 2026 was $863.6 million (Q1 2026), $575.1 million (Q4 2025) and $878.7 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Waste Management | 92.20 Bn | 91.11 Bn | 2.73 Bn | 4.21 Bn |
| 2 | Republic Services | 70.80 Bn | 70.41 Bn | 1.87 Bn | 2.13 Bn |
| 3 | Waste Connections | 42.69 Bn | 42.31 Bn | 1.08 Bn | 1.07 Bn |
| 4 | Clean Harbors | 16.85 Bn | 13.86 Bn | 608.78 Mn | 1.46 Bn |
| 5 | GFL Environmental | 16.11 Bn | 14.22 Bn | 385.80 Mn | 983.30 Mn |
| 6 | Casella Waste Systems | 5.74 Bn | 4.86 Bn | 178.80 Mn | 220.37 Mn |
| 7 | Onterris | 503.07 Mn | 462.35 Mn | 82.26 Mn | 199.45 Mn |
| 8 | Perma Fix Environmental Services | 247.80 Mn | 139.36 Mn | -2.50 Mn | 19.62 Mn |
| 9 | Comstock | 138.36 Mn | 5.32 Mn | -896,073.00 | 2.31 Mn |
| 10 | Deep Isolation Nuclear | 109.56 Mn | 109.56 Mn | 707,000.00 | 992,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 983.30 Mn |
| Mar 31, 2026 | 863.60 Mn |
| Dec 31, 2025 | 585.63 Mn |
| Sep 30, 2025 | 878.70 Mn |
| Jun 30, 2025 | 840.60 Mn |
| Mar 31, 2025 | 796.50 Mn |
| Dec 31, 2024 | 818.90 Mn |
| Sep 30, 2024 | 1.22 Bn |
| Jun 30, 2024 | 1.19 Bn |
| Mar 31, 2024 | 1.07 Bn |
| Dec 31, 2023 | 816.35 Mn |
| Sep 30, 2023 | 1.18 Bn |
| Jun 30, 2023 | 1.11 Bn |
| Mar 31, 2023 | 1.02 Bn |
| Dec 31, 2022 | 825.04 Mn |
| Sep 30, 2022 | 1.21 Bn |
| Jun 30, 2022 | 1.09 Bn |
| Mar 31, 2022 | 844.60 Mn |
| Dec 31, 2021 | 678.96 Mn |
| Sep 30, 2021 | 1.09 Bn |
API Access
GFL Environmental Receivables 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=receivables&ticker=GFL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=GFL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();