First America Resources (MEGR) Accumulated Expenses (2024 - 2026)
First America Resources (MEGR) recorded Accumulated Expenses of $974,422 in Q2 2026, compared with $31,645 a year earlier and down 22.1% from the prior quarter.
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Analysis
First America Resources (MEGR) Accumulated Expenses (2024 - 2026) Analysis & Trends
At the end of FY2025, First America Resources reported Accumulated Expenses of $1.36 million, up 437.2% from FY2024.
- Across earlier years, Accumulated Expenses came in at $252,940 in FY2024.
- Quarterly Accumulated Expenses has ranged from $31,045 in Q3 2025 to $1.36 million in Q4 2025 over the past five years.
- Per Business Quant, the preceding three quarters came in at $1.25 million (Q1 2026), $1.36 million (Q4 2025) and $31,045 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Waste Management | 94.35 Bn | 93.19 Bn | 2.75 Bn |
| 2 | Republic Services | 75.58 Bn | 75.19 Bn | 1.90 Bn |
| 3 | Waste Connections | 47.47 Bn | 47.11 Bn | 1.14 Bn |
| 4 | GFL Environmental | 17.11 Bn | 15.13 Bn | - |
| 5 | Clean Harbors | 15.02 Bn | 12.36 Bn | 661.44 Mn |
| 6 | Casella Waste Systems | 6.26 Bn | 5.38 Bn | 178.80 Mn |
| 7 | Onterris | 777.82 Mn | 723.72 Mn | 88.27 Mn |
| 8 | Perma Fix Environmental Services | 297.69 Mn | 190.43 Mn | 552,000.00 |
| 9 | Comstock | 148.56 Mn | 7.78 Mn | -606,061.00 |
| 10 | First America Resources | 3.66 Mn | 1.83 Mn | 3.25 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 974,422.00 |
| Mar 31, 2026 | 1.25 Mn |
| Dec 31, 2025 | 1.36 Mn |
| Sep 30, 2025 | 31,045.00 |
| Jun 30, 2025 | 31,645.00 |
| Dec 31, 2024 | 252,940.00 |
API Access
First America Resources Accumulated Expenses 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=accumulated-expenses&ticker=MEGR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=MEGR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();