Jetblue Airways (JBLU) Total Liabilities (2009 - 2026)
Jetblue Airways (JBLU) posted Total Liabilities of $14.78 billion for Q2 2026, up 2.0% from $14.5 billion a year earlier but down 0.1% from the prior quarter.
Powered by 
Analysis
Jetblue Airways (JBLU) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Jetblue Airways' Total Liabilities came in at $14.45 billion, up 1.8% from FY2024.
- Annual Total Liabilities has increased for three consecutive years, with a five-year compound annual growth rate of 8.9% (FY2020 to FY2025).
- In prior years, Jetblue Airways' Total Liabilities was $14.2 billion in FY2024 (+35.0%), $10.52 billion in FY2023 (+10.9%), $9.48 billion in FY2022 (-3.2%) and $9.79 billion in FY2021 (+3.6%).
- Quarterly Total Liabilities has run from a low of $9.48 billion in Q4 2022 to a high of $14.8 billion in Q1 2026 over five years.
- On a year-over-year basis, Total Liabilities has increased in each of the last 12 quarters, with growth averaging 17.8% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q3 2024, with growth of 39.9%; the weakest was Q2 2022, with a decline of 4.8%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $14.8 billion (Q1 2026), $14.45 billion (Q4 2025) and $14.33 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 170.80 Bn | 165.33 Bn | - | 50.54 Bn |
| 2 | Csx | 89.17 Bn | 85.38 Bn | - | 30.64 Bn |
| 3 | United Parcel Service | 83.81 Bn | 60.70 Bn | - | 56.17 Bn |
| 4 | Canadian Pacific Kansas City | 77.31 Bn | 76.33 Bn | - | 29.33 Bn |
| 5 | Norfolk Southern | 73.23 Bn | 67.87 Bn | - | 28.87 Bn |
| 6 | Fedex | 70.82 Bn | 36.77 Bn | - | 67.29 Bn |
| 7 | Delta Air Lines | 50.27 Bn | 32.46 Bn | - | 63.54 Bn |
| 8 | Old Dominion Freight Line | 39.09 Bn | 38.36 Bn | - | 1.19 Bn |
| 9 | United Airlines Holdings | 31.83 Bn | -24.55 Bn | - | 67.87 Bn |
| 10 | Jetblue Airways | 1.10 Bn | -7.87 Bn | - | 14.78 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.78 Bn |
| Mar 31, 2026 | 14.80 Bn |
| Dec 31, 2025 | 14.45 Bn |
| Sep 30, 2025 | 14.33 Bn |
| Jun 30, 2025 | 14.50 Bn |
| Mar 31, 2025 | 14.66 Bn |
| Dec 31, 2024 | 14.20 Bn |
| Sep 30, 2024 | 13.98 Bn |
| Jun 30, 2024 | 11.30 Bn |
| Mar 31, 2024 | 11.09 Bn |
| Dec 31, 2023 | 10.52 Bn |
| Sep 30, 2023 | 9.99 Bn |
| Jun 30, 2023 | 9.93 Bn |
| Mar 31, 2023 | 9.85 Bn |
| Dec 31, 2022 | 9.48 Bn |
| Sep 30, 2022 | 9.82 Bn |
| Jun 30, 2022 | 10.10 Bn |
| Mar 31, 2022 | 10.21 Bn |
| Dec 31, 2021 | 9.79 Bn |
| Sep 30, 2021 | 10.12 Bn |
API Access
Jetblue Airways Total 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-liabilities&ticker=JBLU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=JBLU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();