Joby Aviation (JOBY) Revenue (2023 - 2026)
Joby Aviation (JOBY) posted Revenue of $38.64 million for Q2 2026, compared with $15,000 a year earlier and up 59.4% from the prior quarter.
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Analysis
Joby Aviation (JOBY) Revenue (2023 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Revenue at Joby Aviation was $116.3 million; for FY2025, it came in at $53.43 million.
- In prior years, Joby Aviation's Revenue was $136,000 in FY2024 (-86.8%) and $1.03 million in FY2023.
- The Q2 2026 figure stands as the highest quarterly Revenue in data going back to Q4 2023.
- According to Business Quant data, Revenue for the three prior quarters was $24.25 million (Q1 2026), $30.84 million (Q4 2025) and $22.57 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 13.35 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 24.71 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 24.56 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 20.06 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 2.55 Bn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 14.09 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 3.13 Bn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 10.88 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 9.72 Bn |
| 10 | Joby Aviation | 5.97 Bn | 5.97 Bn | - | 38.64 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 38.64 Mn |
| Mar 31, 2026 | 24.25 Mn |
| Dec 31, 2025 | 30.84 Mn |
| Sep 30, 2025 | 22.57 Mn |
| Jun 30, 2025 | 15,000.00 |
| Dec 31, 2024 | 55,000.00 |
| Sep 30, 2024 | 28,000.00 |
| Jun 30, 2024 | 28,000.00 |
| Mar 31, 2024 | 25,000.00 |
| Dec 31, 2023 | 1.03 Mn |
API Access
Joby Aviation 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=revenue&ticker=JOBY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=JOBY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();