Joby Aviation (JOBY) Asset Utilization Ratio (2023 - 2026)
Joby Aviation's Asset Utilization Ratio came in at 0.04 for Q2 2026, compared with 0.00 a year earlier and up 24.5% from the prior quarter.
Analysis
Joby Aviation (JOBY) Asset Utilization Ratio (2023 - 2026) Analysis & Trends
Going back to Q4 2023, Joby Aviation's Asset Utilization Ratio data covers 11 quarters.
- Going back by year, Asset Utilization Ratio was 0.00 in FY2024 (-86.3%) and 0.00 in FY2023.
- The Q2 2026 figure represents the highest quarterly Asset Utilization Ratio in data going back to Q4 2023.
- Business Quant data shows JOBY's Asset Utilization Ratio at 0.03 (Q1 2026), 0.03 (Q4 2025) and 0.02 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Asset Util. (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 0.40 |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 0.54 |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 0.57 |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 1.27 |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 0.69 |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 0.92 |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 0.64 |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 0.85 |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 0.50 |
| 10 | Joby Aviation | 5.97 Bn | 5.97 Bn | - | 0.04 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.04 |
| Mar 31, 2026 | 0.03 |
| Dec 31, 2025 | 0.03 |
| Sep 30, 2025 | 0.02 |
| 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 |
API Access
Joby Aviation 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=JOBY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-utilization-ratio", "ticker": "JOBY", "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=JOBY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();