Jet.AI (JTAI) Price to Earnings (2025 - 2026)
Jet.AI's Price to Earnings was 0.19 in Q2 2026.
Powered by 
Analysis
Jet.AI (JTAI) Price to Earnings (2025 - 2026) Analysis & Trends
For FY2025, Price to Earnings at Jet.AI came in at 7.33.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 173.71 Bn | 165.96 Bn | - |
| 2 | United Parcel Service | 93.47 Bn | 70.29 Bn | - |
| 3 | Csx | 91.93 Bn | 87.15 Bn | - |
| 4 | Canadian Pacific Kansas City | 82.51 Bn | 81.54 Bn | - |
| 5 | Fedex | 75.12 Bn | 41.32 Bn | - |
| 6 | Norfolk Southern | 72.53 Bn | 66.99 Bn | - |
| 7 | Delta Air Lines | 59.54 Bn | 41.73 Bn | - |
| 8 | United Airlines Holdings | 38.77 Bn | -18.93 Bn | - |
| 9 | Old Dominion Freight Line | 34.84 Bn | 33.68 Bn | - |
| 10 | Jet.AI | 1.25 Mn | -28.16 Mn | -183,748.00 |
API Access
Jet.AI Price to Earnings 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-earnings&ticker=JTAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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-earnings&ticker=JTAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();