Factorial Energy (FAC) Accumulated Expenses (2024 - 2026)
Factorial Energy's Accumulated Expenses was $7.71 million in Q3 2026, compared with $321,183 a year earlier and up 73.8% from the prior quarter.
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Analysis
Factorial Energy (FAC) Accumulated Expenses (2024 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Factorial Energy came in at $2.98 million.
- In earlier years, Accumulated Expenses was $242,872 in FY2024.
- The Q3 2026 figure marks the highest quarterly Accumulated Expenses in data going back to Q4 2024.
- Per Business Quant data, FAC's Accumulated Expenses in the three quarters before Q3 2026 was $4.44 million (Q2 2026), $1.31 million (Q1 2026) and $2.98 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | BlackRock | 189.07 Bn | 145.60 Bn | - |
| 2 | Spdr Gold Trust | 125.11 Bn | -432.90 Bn | - |
| 3 | Brookfield | 101.47 Bn | -96.66 Bn | - |
| 4 | Blackstone | 91.35 Bn | 85.56 Bn | - |
| 5 | Kkr | 87.89 Bn | 54.59 Bn | 1.76 Bn |
| 6 | Brookfield Asset Management | 82.34 Bn | 77.22 Bn | - |
| 7 | Apollo Global Management | 72.94 Bn | 89.74 Bn | 4.14 Bn |
| 8 | Wheaton Precious Metals | 59.70 Bn | 59.70 Bn | 538.50 Mn |
| 9 | Ares Management | 48.49 Bn | 47.07 Bn | 376.28 Mn |
| 10 | Factorial Energy | 357.04 Mn | 119.48 Mn | -1.81 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 7.71 Mn |
| Jun 30, 2026 | 4.44 Mn |
| Mar 31, 2026 | 1.31 Mn |
| Dec 31, 2025 | 2.98 Mn |
| Sep 30, 2025 | 321,183.00 |
| Jun 30, 2025 | 2.98 Mn |
| Mar 31, 2025 | 516,635.00 |
| Dec 31, 2024 | 242,872.00 |
API Access
Factorial Energy 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=FAC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=FAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();