Jet.AI (JTAI) Operating Expenses (2022 - 2026)
Jet.AI's Operating Expenses was $2.5 million in Q2 2026, up 5.5% from $2.37 million a year earlier.
Jet.AI (JTAI) Operating Expenses (2022 - 2026) Analysis & Trends
On a trailing twelve-month basis, Jet.AI's Operating Expenses was $9.21 million through Jun 30, 2026, down 17.7% year-over-year; for FY2025, it came in at $9.77 million, down 15.8% from FY2024.
- Operating Expenses shows a four-year compound annual growth rate of 226.9% (FY2021 to FY2025).
- In earlier years, Operating Expenses was $11.6 million in FY2024 (-5.9%), $12.33 million in FY2023 (+25.9%), $9.79 million in FY2022 and $85,515 in FY2021.
- Quarterly Operating Expenses has moved between $56,158 (Q1 2022) and $4.44 million (Q3 2023) over five years.
- Compared with a year earlier, Operating Expenses was higher in two of the last seven quarters, with an average decline of 13.9%.
- The best year-over-year quarter for Operating Expenses over five years was Q3 2023 (growth of 47.9%); the worst was Q3 2025 (a decline of 39.1%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 161.62 Bn | 156.15 Bn | - | 4.10 Bn |
| 2 | Csx | 86.16 Bn | 82.37 Bn | - | 2.43 Bn |
| 3 | Canadian Pacific Kansas City | 74.78 Bn | 74.50 Bn | - | 1.95 Bn |
| 4 | United Parcel Service | 70.01 Bn | 46.94 Bn | - | 21.90 Bn |
| 5 | Norfolk Southern | 69.45 Bn | 64.09 Bn | - | 2.34 Bn |
| 6 | Fedex | 67.46 Bn | 33.40 Bn | - | 23.46 Bn |
| 7 | Delta Air Lines | 54.88 Bn | 37.06 Bn | - | 17.89 Bn |
| 8 | Old Dominion Freight Line | 36.07 Bn | 35.33 Bn | - | 1.09 Bn |
| 9 | Ryanair Holdings | 28.71 Bn | 12.72 Bn | 3.13 Bn | 4.43 Bn |
| 10 | Jet.AI | 2.04 Mn | -22.13 Mn | -183,748.00 | 2.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.50 Mn |
| Dec 31, 2025 | 2.60 Mn |
| Sep 30, 2025 | 1.75 Mn |
| Jun 30, 2025 | 2.37 Mn |
| Mar 31, 2025 | 3.06 Mn |
| Dec 31, 2024 | 2.90 Mn |
| Sep 30, 2024 | 2.87 Mn |
| Jun 30, 2024 | 2.80 Mn |
| Mar 31, 2024 | 3.03 Mn |
| Dec 31, 2023 | 3.00 Mn |
| Sep 30, 2023 | 4.44 Mn |
| Jun 30, 2023 | 2.25 Mn |
| Mar 31, 2023 | 2.64 Mn |
| Dec 31, 2022 | 3.16 Mn |
| Sep 30, 2022 | 3.00 Mn |
| Jun 30, 2022 | 73,811.00 |
| Mar 31, 2022 | 56,158.00 |
Jet.AI Operating Expenses 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=operating-expenses&ticker=JTAI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=JTAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();