Jet.AI (JTAI) Price to Sales (2023 - 2026)
Jet.AI's Price to Sales was 0.09 in Q2 2026, down 99.3% from 13.98 a year earlier.
Analysis
Jet.AI (JTAI) Price to Sales (2023 - 2026) Analysis & Trends
For FY2025, Price to Sales at Jet.AI came in at 3.66, up 113.8% from FY2024.
- In earlier years, Price to Sales was 1.71 in FY2024 (-87.9%), 14.13 in FY2023 (-88.1%) and 118.91 in FY2022.
- The Q2 2026 figure marks the lowest quarterly Price to Sales in data going back to Q2 2023.
- Compared with a year earlier, Price to Sales was higher in three of the last seven quarters, with growth averaging 97.3%.
- The best year-over-year quarter for Price to Sales over five years was Q3 2025 (growth of 770.3%); the worst was Q2 2026 (a decline of 99.3%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 165.28 Bn | 159.81 Bn | - |
| 2 | Csx | 87.86 Bn | 84.08 Bn | - |
| 3 | Canadian Pacific Kansas City | 75.56 Bn | 75.27 Bn | - |
| 4 | Norfolk Southern | 71.27 Bn | 65.91 Bn | - |
| 5 | United Parcel Service | 69.70 Bn | 46.62 Bn | - |
| 6 | Fedex | 68.71 Bn | 34.65 Bn | - |
| 7 | Delta Air Lines | 55.32 Bn | 37.50 Bn | - |
| 8 | Old Dominion Freight Line | 37.44 Bn | 36.71 Bn | - |
| 9 | United Airlines Holdings | 36.52 Bn | -19.85 Bn | - |
| 10 | Jet.AI | 2.06 Mn | -22.11 Mn | -183,748.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.09 |
| Dec 31, 2025 | 3.66 |
| Sep 30, 2025 | 20.95 |
| Jun 30, 2025 | 13.98 |
| Mar 31, 2025 | 9.94 |
| Dec 31, 2024 | 1.71 |
| Sep 30, 2024 | 2.41 |
| Jun 30, 2024 | 6.52 |
| Mar 31, 2024 | 15.51 |
| Dec 31, 2023 | 14.13 |
| Sep 30, 2023 | 41.84 |
| Jun 30, 2023 | 45.77 |
API Access
Jet.AI 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=JTAI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-sales", "ticker": "JTAI", "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=JTAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();