First America Resources (MEGR) EBITDA (2024 - 2026)
First America Resources' EBITDA was $562,990 in Q2 2026, compared with -$35,838 a year earlier and up 62.5% from the prior quarter.
First America Resources (MEGR) EBITDA (2024 - 2026) Analysis & Trends
On a trailing twelve-month basis, First America Resources' EBITDA was $771,257 through Jun 30, 2026, up 48.0% year-over-year; for FY2025, it was -$101,652.
- In earlier years, EBITDA was $400,647 in FY2024.
- Per Business Quant data, MEGR's EBITDA in the three quarters before Q2 2026 was $346,379 (Q1 2026), -$410,734 (Q4 2025) and $272,622 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Waste Management | 94.35 Bn | 93.19 Bn | 2.75 Bn | 2.07 Bn |
| 2 | Republic Services | 75.58 Bn | 75.19 Bn | 1.90 Bn | 1.45 Bn |
| 3 | Waste Connections | 47.47 Bn | 47.11 Bn | 1.14 Bn | 932.38 Mn |
| 4 | GFL Environmental | 17.11 Bn | 15.13 Bn | - | 1.07 Bn |
| 5 | Clean Harbors | 15.02 Bn | 12.36 Bn | 661.44 Mn | 442.13 Mn |
| 6 | Casella Waste Systems | 6.26 Bn | 5.38 Bn | 178.80 Mn | 109.21 Mn |
| 7 | Onterris | 777.82 Mn | 723.72 Mn | 88.27 Mn | 24.88 Mn |
| 8 | Perma Fix Environmental Services | 297.69 Mn | 190.43 Mn | 552,000.00 | -3.16 Mn |
| 9 | Comstock | 148.56 Mn | 7.78 Mn | -606,061.00 | 2.54 Mn |
| 10 | First America Resources | 3.66 Mn | 1.83 Mn | 3.25 Mn | 562,990.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 562,990.00 |
| Mar 31, 2026 | 346,379.00 |
| Dec 31, 2025 | -410,734.00 |
| Sep 30, 2025 | 272,622.00 |
| Jun 30, 2025 | -35,838.00 |
| Mar 31, 2025 | 72,298.00 |
| Sep 30, 2024 | 423,132.00 |
| Jun 30, 2024 | 61,586.00 |
First America Resources 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=MEGR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "MEGR", "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=MEGR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();