GFL Environmental (GFL) Cost of Revenue (2019 - 2026)
GFL Environmental (GFL) reported Cost of Revenue of $1.56 billion for Q2 2026, up 19.9% from $1.3 billion a year earlier and up 16.2% from the prior quarter.
GFL Environmental (GFL) Cost of Revenue (2019 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, GFL Environmental's Cost of Revenue came in at $5.58 billion, up 9.3% year-over-year; for FY2025, it came in at $3.76 billion, up 2.7% from FY2024.
- Cost of Revenue has a five-year compound annual growth rate of 4.7% (FY2020 to FY2025).
- By year, Cost of Revenue came in at $3.66 billion in FY2024 (-21.0%), $4.63 billion in FY2023 (+0.9%), $4.59 billion in FY2022 (+23.3%) and $3.72 billion in FY2021 (+24.4%).
- The Q2 2026 figure ranks as the highest quarterly Cost of Revenue since Q4 2023.
- Year over year, Cost of Revenue has now increased in each of the last six quarters, with growth averaging 1.0% over the last eight quarters.
- The high point for year-over-year Cost of Revenue in five years was Q2 2022 (growth of 34.2%); the low point was Q1 2024 (a decline of 23.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.34 billion (Q1 2026), $1.35 billion (Q4 2025) and $1.32 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Waste Management | 81.78 Bn | 80.69 Bn | 2.73 Bn | 3.96 Bn |
| 2 | Republic Services | 64.17 Bn | 63.79 Bn | 1.87 Bn | 2.56 Bn |
| 3 | Waste Connections | 38.78 Bn | 38.40 Bn | 1.08 Bn | 1.48 Bn |
| 4 | Clean Harbors | 16.83 Bn | 13.84 Bn | 608.78 Mn | 1.13 Bn |
| 5 | GFL Environmental | 15.57 Bn | 13.25 Bn | 385.80 Mn | 1.56 Bn |
| 6 | Casella Waste Systems | 5.19 Bn | 4.31 Bn | 178.80 Mn | 364.95 Mn |
| 7 | Onterris | 445.90 Mn | 405.17 Mn | 82.26 Mn | 104.40 Mn |
| 8 | Perma Fix Environmental Services | 329.99 Mn | 221.55 Mn | -2.50 Mn | 15.39 Mn |
| 9 | Deep Isolation Nuclear | 184.53 Mn | 184.53 Mn | 707,000.00 | 612,000.00 |
| 10 | Comstock | 172.41 Mn | 175.73 Mn | -896,073.00 | 1.17 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.56 Bn |
| Mar 31, 2026 | 1.34 Bn |
| Dec 31, 2025 | 1.35 Bn |
| Sep 30, 2025 | 1.32 Bn |
| Jun 30, 2025 | 1.30 Bn |
| Mar 31, 2025 | 1.27 Bn |
| Dec 31, 2024 | 1.27 Bn |
| Sep 30, 2024 | 1.26 Bn |
| Jun 30, 2024 | 1.29 Bn |
| Mar 31, 2024 | 1.19 Bn |
| Dec 31, 2023 | 1.57 Bn |
| Sep 30, 2023 | 1.53 Bn |
| Jun 30, 2023 | 1.59 Bn |
| Mar 31, 2023 | 1.55 Bn |
| Dec 31, 2022 | 1.62 Bn |
| Sep 30, 2022 | 1.59 Bn |
| Jun 30, 2022 | 1.48 Bn |
| Mar 31, 2022 | 1.27 Bn |
| Dec 31, 2021 | 1.35 Bn |
| Sep 30, 2021 | 1.20 Bn |
GFL Environmental Cost of Revenue 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=cost-of-revenue&ticker=GFL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=GFL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();