GFL Environmental (GFL) EBITDA (2019 - 2026)
GFL Environmental (GFL) recorded EBITDA of $174.2 million in Q2 2026, down 13.1% from $200.4 million a year earlier and down 18.5% from the prior quarter.
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Analysis
GFL Environmental (GFL) EBITDA (2019 - 2026) Analysis & Trends
On a TTM basis, GFL Environmental's EBITDA came in at $752 million as of Jun 30, 2026, down 16.3% year-over-year; for FY2025, it came in at -$2.62 billion.
- Across earlier years, EBITDA came in at -$3.35 billion in FY2024, $1.32 billion in FY2023 (+696.3%), $166.15 million in FY2022 (+157.9%) and $64.43 million in FY2021 (-90.6%).
- Quarterly EBITDA has ranged from -$791.8 million in Q4 2022 to $486.7 million in Q3 2023 over the past five years.
- On a year-over-year basis, EBITDA has declined for six consecutive quarters, with an average decline of 18.4% over the last seven quarters.
- Peak year-over-year performance for EBITDA in the last five years was growth of 199.7% in Q3 2023, against a decline of 51.7% in Q3 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $213.7 million (Q1 2026), $139.6 million (Q4 2025) and $224.5 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Waste Management | 82.59 Bn | 81.50 Bn | 2.73 Bn | 2.03 Bn |
| 2 | Republic Services | 65.21 Bn | 64.82 Bn | 1.87 Bn | 1.42 Bn |
| 3 | Waste Connections | 39.38 Bn | 39.00 Bn | 1.08 Bn | 811.03 Mn |
| 4 | Clean Harbors | 16.54 Bn | 13.55 Bn | 608.78 Mn | 390.70 Mn |
| 5 | GFL Environmental | 15.37 Bn | 13.05 Bn | 385.80 Mn | 174.20 Mn |
| 6 | Casella Waste Systems | 5.11 Bn | 4.23 Bn | 178.80 Mn | 108.46 Mn |
| 7 | Onterris | 512.61 Mn | 471.88 Mn | 82.26 Mn | 19.16 Mn |
| 8 | Perma Fix Environmental Services | 331.69 Mn | 223.25 Mn | -2.50 Mn | -6.02 Mn |
| 9 | Deep Isolation Nuclear | 204.72 Mn | 204.72 Mn | 707,000.00 | -3.22 Mn |
| 10 | Comstock | 185.32 Mn | 188.64 Mn | -896,073.00 | -26.59 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 174.20 Mn |
| Mar 31, 2026 | 213.70 Mn |
| Dec 31, 2025 | 139.60 Mn |
| Sep 30, 2025 | 224.50 Mn |
| Jun 30, 2025 | 200.40 Mn |
| Mar 31, 2025 | 265.00 Mn |
| Dec 31, 2024 | 197.70 Mn |
| Sep 30, 2024 | 234.90 Mn |
| Jun 30, 2024 | 212.40 Mn |
| Mar 31, 2024 | 278.70 Mn |
| Dec 31, 2023 | 3.70 Mn |
| Sep 30, 2023 | 486.70 Mn |
| Jun 30, 2023 | 223.20 Mn |
| Mar 31, 2023 | 156.80 Mn |
| Dec 31, 2022 | -791.80 Mn |
| Sep 30, 2022 | 162.40 Mn |
| Jun 30, 2022 | 169.10 Mn |
| Mar 31, 2022 | 91.60 Mn |
| Dec 31, 2021 | 38.70 Mn |
| Sep 30, 2021 | 127.20 Mn |
API Access
GFL Environmental EBITDA 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=ebitda&ticker=GFL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=GFL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();