Jet.AI (JTAI) Total Non-Current Liabilities (2021 - 2023)
Jet.AI (JTAI) posted Total Non-Current Liabilities of $9.68 million for Q4 2023, up 155.7% from $3.78 million a year earlier and up 7.3% from the prior quarter.
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Analysis
Jet.AI (JTAI) Total Non-Current Liabilities (2021 - 2023) Analysis & Trends
Since Q4 2021, Jet.AI has reported Total Non-Current Liabilities for 7 quarters.
- In prior years, Jet.AI's Total Non-Current Liabilities was $3.78 million in FY2022 (-96.5%) and $109.37 million in FY2021.
- Quarterly Total Non-Current Liabilities has run from a low of $3.78 million in Q4 2022 to a high of $112.21 million in Q3 2022 over five years.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $9.02 million (Q3 2023), $13.13 million (Q2 2023) and $11.73 million (Q1 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 161.62 Bn | 156.15 Bn | - | 48.79 Bn |
| 2 | Csx | 86.16 Bn | 82.37 Bn | - | 30.11 Bn |
| 3 | Canadian Pacific Kansas City | 74.78 Bn | 74.50 Bn | - | 29.47 Bn |
| 4 | United Parcel Service | 70.01 Bn | 46.94 Bn | - | 52.41 Bn |
| 5 | Norfolk Southern | 69.45 Bn | 64.09 Bn | - | 27.16 Bn |
| 6 | Fedex | 67.46 Bn | 33.40 Bn | - | 62.88 Bn |
| 7 | Delta Air Lines | 54.88 Bn | 37.06 Bn | - | 30.90 Bn |
| 8 | Old Dominion Freight Line | 36.07 Bn | 35.33 Bn | - | 656.79 Mn |
| 9 | Ryanair Holdings | 28.71 Bn | 12.72 Bn | 3.13 Bn | 151.69 Mn |
| 10 | Jet.AI | 2.04 Mn | -22.13 Mn | -183,748.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 9.68 Mn |
| Sep 30, 2023 | 9.02 Mn |
| Jun 30, 2023 | 13.13 Mn |
| Mar 31, 2023 | 11.73 Mn |
| Dec 31, 2022 | 3.78 Mn |
| Sep 30, 2022 | 112.21 Mn |
| Dec 31, 2021 | 109.37 Mn |
API Access
Jet.AI Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=JTAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=JTAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();