Factorial Energy (FAC) Cost of Revenue (2026)
Analysis
Factorial Energy (FAC) Cost of Revenue (2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (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 | 2.80 Bn |
| 6 | Brookfield Asset Management | 82.34 Bn | 77.22 Bn | - | - |
| 7 | Apollo Global Management | 72.94 Bn | 89.74 Bn | 4.14 Bn | 595.00 Mn |
| 8 | Wheaton Precious Metals | 59.70 Bn | 59.70 Bn | 538.50 Mn | 233.23 Mn |
| 9 | Ares Management | 48.49 Bn | 47.07 Bn | 376.28 Mn | 1.06 Bn |
| 10 | Factorial Energy | 357.04 Mn | 119.48 Mn | -1.81 Mn | 1.83 Mn |
API Access
Factorial Energy Cost of Revenue 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=cost-of-revenue&ticker=FAC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=FAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();