Faraday Future Intelligent Electric (FFAI) Asset Utilization Ratio (2023 - 2026)
Faraday Future Intelligent Electric's Asset Utilization Ratio came in at 0.00 for Q2 2026, up 149.9% from 0.00 a year earlier.
Analysis
Faraday Future Intelligent Electric (FFAI) Asset Utilization Ratio (2023 - 2026) Analysis & Trends
Going back to Q3 2023, Faraday Future Intelligent Electric's Asset Utilization Ratio data covers 11 quarters.
- Going back by year, Asset Utilization Ratio was 0.00 in FY2024 (-23.8%) and 0.00 in FY2023.
- The Q2 2026 figure represents the highest quarterly Asset Utilization Ratio in data going back to Q3 2023.
- Year-over-year, Asset Utilization Ratio increased in five of the last seven quarters, with growth averaging 36.3%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Asset Util. (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,148.52 Bn | 983.08 Bn | 4.75 Bn | 0.71 |
| 2 | Toyota Motor | 242.17 Bn | -164.57 Bn | 20.95 Bn | 0.35 |
| 3 | Ferrari | 145.86 Bn | 138.30 Bn | 1.18 Bn | 0.72 |
| 4 | Honda Motor | 143.38 Bn | 10.76 Bn | 8.46 Bn | 0.68 |
| 5 | General Motors | 67.56 Bn | -37.30 Bn | 7.33 Bn | 0.66 |
| 6 | Ford Motor | 47.24 Bn | -95.23 Bn | 6.08 Bn | 0.66 |
| 7 | Rivian Automotive | 20.35 Bn | -2.94 Bn | 179.00 Mn | 0.40 |
| 8 | Magna International | 17.85 Bn | 15.41 Bn | 1.61 Bn | - |
| 9 | Stellantis | 12.63 Bn | -153.36 Bn | 5.55 Bn | 0.72 |
| 10 | Faraday Future Intelligent Electric | 8.88 Mn | -84.68 Mn | -10.70 Mn | 0.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.00 |
| Dec 31, 2025 | 0.00 |
| Sep 30, 2025 | 0.00 |
| Jun 30, 2025 | 0.00 |
| Mar 31, 2025 | 0.00 |
| Dec 31, 2024 | 0.00 |
| Sep 30, 2024 | 0.00 |
| Jun 30, 2024 | 0.00 |
| Mar 31, 2024 | 0.00 |
| Dec 31, 2023 | 0.00 |
| Sep 30, 2023 | 0.00 |
API Access
Faraday Future Intelligent Electric Asset Utilization Ratio 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=asset-utilization-ratio&ticker=FFAI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-utilization-ratio", "ticker": "FFAI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=asset-utilization-ratio&ticker=FFAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();