Factorial Energy (FAC) Price to FCF (2026)
Factorial Energy's (FAC) Price to FCF was 1085.40 for Q2 2026.
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Analysis
Factorial Energy (FAC) Price to FCF (2026) Analysis & Trends
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 |
API Access
Factorial Energy Price to FCF 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=price-to-fcf&ticker=FAC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-fcf", "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=price-to-fcf&ticker=FAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();