Jetblue Airways (JBLU) Total Non-Current Liabilities (2009 - 2026)
Jetblue Airways' Total Non-Current Liabilities was $14.48 billion in Q2 2026, up 2.4% from $14.14 billion a year earlier and unchanged from the prior quarter.
Jetblue Airways (JBLU) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Jetblue Airways came in at $14.12 billion, up 2.1% from FY2024.
- Total Non-Current Liabilities has now increased for three consecutive years, with a five-year compound annual growth rate of 8.5% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $13.82 billion in FY2024 (+37.3%), $10.07 billion in FY2023 (+12.0%), $8.99 billion in FY2022 (-2.7%) and $9.24 billion in FY2021 (-1.5%).
- Quarterly Total Non-Current Liabilities has moved between $8.99 billion (Q4 2022) and $14.49 billion (Q1 2026) over five years.
- Compared with a year earlier, Total Non-Current Liabilities has increased for 12 straight quarters, with growth averaging 19.1% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q3 2024 (growth of 42.4%); the worst was Q2 2022 (a decline of 5.2%).
- Per Business Quant data, JBLU's Total Non-Current Liabilities in the three quarters before Q2 2026 was $14.49 billion (Q1 2026), $14.12 billion (Q4 2025) and $13.99 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 170.80 Bn | 165.33 Bn | - | 48.79 Bn |
| 2 | Csx | 89.17 Bn | 85.38 Bn | - | 30.11 Bn |
| 3 | United Parcel Service | 83.81 Bn | 60.70 Bn | - | 52.41 Bn |
| 4 | Canadian Pacific Kansas City | 77.31 Bn | 76.33 Bn | - | 28.69 Bn |
| 5 | Norfolk Southern | 73.23 Bn | 67.87 Bn | - | 27.16 Bn |
| 6 | Fedex | 70.82 Bn | 36.77 Bn | - | 62.04 Bn |
| 7 | Delta Air Lines | 50.27 Bn | 32.46 Bn | - | 29.96 Bn |
| 8 | Old Dominion Freight Line | 39.09 Bn | 38.36 Bn | - | 656.79 Mn |
| 9 | United Airlines Holdings | 31.83 Bn | -24.55 Bn | - | 40.11 Bn |
| 10 | Jetblue Airways | 1.10 Bn | -7.87 Bn | - | 14.48 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.48 Bn |
| Mar 31, 2026 | 14.49 Bn |
| Dec 31, 2025 | 14.12 Bn |
| Sep 30, 2025 | 13.99 Bn |
| Jun 30, 2025 | 14.14 Bn |
| Mar 31, 2025 | 14.29 Bn |
| Dec 31, 2024 | 13.82 Bn |
| Sep 30, 2024 | 13.57 Bn |
| Jun 30, 2024 | 10.88 Bn |
| Mar 31, 2024 | 10.66 Bn |
| Dec 31, 2023 | 10.07 Bn |
| Sep 30, 2023 | 9.53 Bn |
| Jun 30, 2023 | 9.45 Bn |
| Mar 31, 2023 | 9.37 Bn |
| Dec 31, 2022 | 8.99 Bn |
| Sep 30, 2022 | 9.32 Bn |
| Jun 30, 2022 | 9.57 Bn |
| Mar 31, 2022 | 9.65 Bn |
| Dec 31, 2021 | 9.24 Bn |
| Sep 30, 2021 | 9.54 Bn |
Jetblue Airways 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=JBLU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "JBLU", "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=JBLU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();