Factorial Energy (FAC) Consolidated Net Income (2024 - 2026)
Factorial Energy (FAC) posted Consolidated Net Income of $8.84 million for Q3 2026, compared with -$34.64 million a year earlier.
Factorial Energy (FAC) Consolidated Net Income (2024 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Consolidated Net Income at Factorial Energy was $52.72 million; for FY2025, it was $6.22 million.
- In prior years, Factorial Energy's Consolidated Net Income was -$42,620 in FY2024.
- Quarterly Consolidated Net Income has run from a low of -$34.64 million in Q3 2025 to a high of $53.62 million in Q4 2025 over five years.
- According to Business Quant data, Consolidated Net Income for the three prior quarters was -$11.42 million (Q2 2026), $1.68 million (Q1 2026) and $53.62 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Consol Net Inc. (Qtr) |
|---|---|---|---|---|---|
| 1 | BlackRock | 189.07 Bn | 145.60 Bn | - | 1.92 Bn |
| 2 | Spdr Gold Trust | 125.11 Bn | -432.90 Bn | - | -19.38 Bn |
| 3 | Brookfield | 101.47 Bn | -96.66 Bn | - | 1.91 Bn |
| 4 | Blackstone | 91.35 Bn | 85.56 Bn | - | 1.27 Bn |
| 5 | Kkr | 87.89 Bn | 54.59 Bn | 1.76 Bn | 1.24 Bn |
| 6 | Brookfield Asset Management | 82.34 Bn | 77.22 Bn | - | 3.00 Bn |
| 7 | Apollo Global Management | 72.94 Bn | 89.74 Bn | 4.14 Bn | -1.12 Bn |
| 8 | Wheaton Precious Metals | 59.70 Bn | 59.70 Bn | 538.50 Mn | 410.25 Mn |
| 9 | Ares Management | 48.49 Bn | 47.07 Bn | 376.28 Mn | 205.39 Mn |
| 10 | Factorial Energy | 357.04 Mn | 119.48 Mn | -1.81 Mn | 8.84 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 8.84 Mn |
| Jun 30, 2026 | -11.42 Mn |
| Mar 31, 2026 | 1.68 Mn |
| Dec 31, 2025 | 53.62 Mn |
| Sep 30, 2025 | -34.64 Mn |
| Jun 30, 2025 | -10.75 Mn |
| Mar 31, 2025 | -20,449.00 |
| Dec 31, 2024 | -42,620.00 |
Factorial Energy Consolidated Net Income 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=consolidated-net-income&ticker=FAC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "consolidated-net-income", "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=consolidated-net-income&ticker=FAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();