Jet.AI (JTAI) Change in Accured Expenses (2022 - 2025)
Jet.AI's Change in Accured Expenses was -$539,390 in Q4 2025, compared with -$758,724 a year earlier.
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Analysis
Jet.AI (JTAI) Change in Accured Expenses (2022 - 2025) Analysis & Trends
For FY2025, Change in Accured Expenses at Jet.AI came in at -$514,556.
- In earlier years, Change in Accured Expenses was $46,223 in FY2024 (-93.1%), $665,426 in FY2023 (-20.4%) and $835,576 in FY2022.
- Quarterly Change in Accured Expenses has moved between -$758,724 (Q4 2024) and $791,529 (Q4 2023) over five years.
- Per Business Quant data, JTAI's Change in Accured Expenses in the three quarters before Q4 2025 was $325,518 (Q3 2025), -$746,764 (Q2 2025) and $446,080 (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 165.28 Bn | 159.81 Bn | - | 187.00 Mn |
| 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 | - | 147.00 Mn |
| 6 | Fedex | 68.71 Bn | 34.65 Bn | - | 1.21 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 |
|---|---|
| Dec 31, 2025 | -539,390.00 |
| Sep 30, 2025 | 325,518.00 |
| Jun 30, 2025 | -746,764.00 |
| Mar 31, 2025 | 446,080.00 |
| Dec 31, 2024 | -758,724.00 |
| Sep 30, 2024 | 473,032.00 |
| Jun 30, 2024 | 305,026.00 |
| Mar 31, 2024 | 26,889.00 |
| Dec 31, 2023 | 791,529.00 |
| Sep 30, 2023 | 47,057.00 |
| Jun 30, 2023 | 19,465.00 |
| Mar 31, 2023 | -192,625.00 |
| Dec 31, 2022 | 728,467.00 |
| Sep 30, 2022 | 110,965.00 |
API Access
Jet.AI Change in Accured 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=change-in-accured-expenses&ticker=JTAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=JTAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();