GFL Environmental (GFL) Cash & Equivalents (2018 - 2026)
GFL Environmental (GFL) posted Cash & Equivalents of $192.1 million for Q2 2026, up 37.5% from $139.7 million a year earlier but down 86.6% from the prior quarter.
GFL Environmental (GFL) Cash & Equivalents (2018 - 2026) Analysis & Trends
At the end of FY2025, GFL Environmental's Cash & Equivalents came in at $681.72 million, up 57.9% from FY2024.
- Annual Cash & Equivalents has increased for three consecutive years, with a five-year compound annual growth rate of 101.9% (FY2020 to FY2025).
- In prior years, GFL Environmental's Cash & Equivalents was $431.81 million in FY2024 (+329.3%), $100.58 million in FY2023 (+59.3%), $63.15 million in FY2022 (-58.4%) and $151.93 million in FY2021 (+648.3%).
- Quarterly Cash & Equivalents has run from a low of $60.48 million in Q4 2022 to a high of $1.44 billion in Q1 2026 over five years.
- On a year-over-year basis, Cash & Equivalents has increased in each of the last seven quarters, with growth averaging 118.6% over the last eight quarters.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q4 2021, with growth of 624.0%; the weakest was Q3 2022, with a decline of 79.3%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $1.44 billion (Q1 2026), $683.02 million (Q4 2025) and $194.6 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Waste Management | 80.76 Bn | 79.67 Bn | 2.73 Bn | 557.00 Mn |
| 2 | Republic Services | 63.36 Bn | 62.98 Bn | 1.87 Bn | 107.00 Mn |
| 3 | Waste Connections | 38.00 Bn | 37.62 Bn | 1.08 Bn | 98.18 Mn |
| 4 | Clean Harbors | 16.50 Bn | 13.51 Bn | 608.78 Mn | 408.36 Mn |
| 5 | GFL Environmental | 15.00 Bn | 12.68 Bn | 385.80 Mn | 192.10 Mn |
| 6 | Casella Waste Systems | 4.89 Bn | 4.01 Bn | 178.80 Mn | 25.54 Mn |
| 7 | Onterris | 446.25 Mn | 405.52 Mn | 82.26 Mn | 12.72 Mn |
| 8 | Perma Fix Environmental Services | 326.81 Mn | 218.37 Mn | -2.50 Mn | 33.95 Mn |
| 9 | Deep Isolation Nuclear | 201.83 Mn | 201.83 Mn | 707,000.00 | - |
| 10 | Comstock | 171.65 Mn | 174.97 Mn | -896,073.00 | 31.41 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 192.10 Mn |
| Mar 31, 2026 | 1.44 Bn |
| Dec 31, 2025 | 683.02 Mn |
| Sep 30, 2025 | 194.60 Mn |
| Jun 30, 2025 | 139.70 Mn |
| Mar 31, 2025 | 537.20 Mn |
| Dec 31, 2024 | 423.21 Mn |
| Sep 30, 2024 | 99.50 Mn |
| Jun 30, 2024 | 134.20 Mn |
| Mar 31, 2024 | 133.80 Mn |
| Dec 31, 2023 | 99.68 Mn |
| Sep 30, 2023 | 174.20 Mn |
| Jun 30, 2023 | 82.20 Mn |
| Mar 31, 2023 | 73.00 Mn |
| Dec 31, 2022 | 60.48 Mn |
| Sep 30, 2022 | 237.40 Mn |
| Jun 30, 2022 | 230.60 Mn |
| Mar 31, 2022 | 189.30 Mn |
| Dec 31, 2021 | 151.05 Mn |
| Sep 30, 2021 | 1.15 Bn |
GFL Environmental Cash & Equivalents 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=cash-and-equivalents&ticker=GFL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=GFL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();