Joby Aviation (JOBY) Price to Sales (2023 - 2026)
Joby Aviation's (JOBY) Price to Sales came in at 75.67 for Q2 2026, down 99.9% from 91572.01 a year earlier and down 27.4% from the prior quarter.
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Analysis
Joby Aviation (JOBY) Price to Sales (2023 - 2026) Analysis & Trends
For FY2025, Joby Aviation's Price to Sales stood at 226.09, down 99.5% from FY2024.
- In prior years, Joby Aviation's Price to Sales was 46877.60 in FY2024 (+941.8%) and 4499.46 in FY2023.
- The Q2 2026 figure stands as the lowest quarterly Price to Sales in data going back to Q4 2023.
- On a year-over-year basis, Price to Sales has declined in each of the last four quarters, with growth averaging 112.4% over the last five quarters.
- According to Business Quant data, Price to Sales for the three prior quarters was 104.29 (Q1 2026), 226.09 (Q4 2025) and 623.16 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn |
| 10 | Joby Aviation | 5.87 Bn | 5.87 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 75.67 |
| Mar 31, 2026 | 104.29 |
| Dec 31, 2025 | 226.09 |
| Sep 30, 2025 | 623.16 |
| Jun 30, 2025 | 91,572.01 |
| Mar 31, 2025 | 42,806.75 |
| Dec 31, 2024 | 46,877.60 |
| Sep 30, 2024 | 3,240.78 |
| Jun 30, 2024 | 3,355.56 |
| Mar 31, 2024 | 3,576.61 |
| Dec 31, 2023 | 4,499.46 |
API Access
Joby Aviation Price to Sales 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-sales&ticker=JOBY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-sales", "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=price-to-sales&ticker=JOBY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();