Factorial Energy (FAC) Selling, General & Administrative (2025 - 2026)
Factorial Energy (FAC) reported Selling, General & Administrative of $6.38 million for Q2 2026, up 37.0% from $4.66 million a year earlier and up 686.3% from the prior quarter.
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Analysis
Factorial Energy (FAC) Selling, General & Administrative (2025 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Factorial Energy's Selling, General & Administrative came in at $7.88 million; for FY2025, it was $1.16 million.
- By year, Selling, General & Administrative came in at $42,620 in FY2024.
- Per Business Quant data, the three quarters before Q2 2026 came in at $811,301 (Q1 2026), $551,834 (Q4 2025) and $137,346 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | BlackRock | 164.03 Bn | 110.39 Bn | - | 720.00 Mn |
| 2 | Spdr Gold Trust | 134.08 Bn | -423.92 Bn | - | - |
| 3 | Blackstone | 84.38 Bn | 79.31 Bn | - | 409.11 Mn |
| 4 | Brookfield | 81.99 Bn | -83.40 Bn | 4.47 Bn | - |
| 5 | Kkr | 81.98 Bn | 48.46 Bn | - | - |
| 6 | Brookfield Asset Management | 71.20 Bn | 67.45 Bn | - | 25.00 Mn |
| 7 | Apollo Global Management | 66.86 Bn | 4.54 Bn | 10.56 Bn | 479.00 Mn |
| 8 | Wheaton Precious Metals | 60.68 Bn | 56.11 Bn | 687.86 Mn | 11.33 Mn |
| 9 | Franco Nevada | 45.90 Bn | 43.27 Bn | 451.00 Mn | 7.80 Mn |
| 10 | Factorial Energy | 678.53 Mn | 678.53 Mn | - | 6.38 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.38 Mn |
| Mar 31, 2026 | 811,301.00 |
| Dec 31, 2025 | 551,834.00 |
| Sep 30, 2025 | 137,346.00 |
| Jun 30, 2025 | 4.66 Mn |
| Mar 31, 2025 | 20,449.00 |
API Access
Factorial Energy Selling, General & Administrative 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=selling-general-and-administrative&ticker=FAC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "FAC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=selling-general-and-administrative&ticker=FAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();