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.
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Analysis
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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 172.47 Bn | 164.72 Bn | - | 4.25 Bn |
| 2 | United Parcel Service | 92.24 Bn | 69.07 Bn | - | 21.11 Bn |
| 3 | Csx | 90.81 Bn | 86.03 Bn | - | 2.45 Bn |
| 4 | Canadian Pacific Kansas City | 81.61 Bn | 80.64 Bn | - | 1.95 Bn |
| 5 | Fedex | 72.98 Bn | 39.17 Bn | - | 23.46 Bn |
| 6 | Norfolk Southern | 71.87 Bn | 66.34 Bn | - | 2.38 Bn |
| 7 | Delta Air Lines | 57.23 Bn | 39.41 Bn | - | 18.73 Bn |
| 8 | United Airlines Holdings | 36.65 Bn | -21.05 Bn | - | 16.43 Bn |
| 9 | Old Dominion Freight Line | 34.12 Bn | 32.96 Bn | - | 1.14 Bn |
| 10 | Jet.AI | 1.21 Mn | -28.19 Mn | -183,748.00 | 2.50 Mn |
Historic Data
Download Data
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 |
API Access
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_KEYimport 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();