Jetblue Airways (JBLU) Non Operating Interest Expenses (2009 - 2026)
Jetblue Airways' Non Operating Interest Expenses was $149 million in Q3 2026, up 2.1% from $146 million a year earlier and up 1.4% from the prior quarter.
Jetblue Airways (JBLU) Non Operating Interest Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Jetblue Airways' Non Operating Interest Expenses was $587 million through Sep 30, 2026, down 0.7% year-over-year; for FY2025, it was $588 million, up 61.1% from FY2024.
- Non Operating Interest Expenses has now increased for three consecutive years, with a three-year compound annual growth rate of 52.4% (FY2022 to FY2025).
- In earlier years, Non Operating Interest Expenses was $365 million in FY2024 (+73.8%), $210 million in FY2023 (+26.5%) and $166 million in FY2022.
- The Q3 2026 figure marks the highest quarterly Non Operating Interest Expenses since Q4 2024.
- Compared with a year earlier, Non Operating Interest Expenses was higher in five of the last eight quarters, with growth averaging 60.8%.
- The best year-over-year quarter for Non Operating Interest Expenses over five years was Q1 2025 (growth of 179.2%); the worst was Q1 2026 (a decline of 2.7%).
- Per Business Quant data, JBLU's Non Operating Interest Expenses in the three quarters before Q3 2026 was $147 million (Q2 2026), $144 million (Q1 2026) and $147 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 176.50 Bn | 168.74 Bn | - | 312.00 Mn |
| 2 | United Parcel Service | 94.38 Bn | 71.20 Bn | - | 289.00 Mn |
| 3 | Csx | 93.38 Bn | 88.60 Bn | - | 207.00 Mn |
| 4 | Canadian Pacific Kansas City | 83.29 Bn | 82.32 Bn | - | - |
| 5 | Fedex | 75.61 Bn | 41.81 Bn | - | - |
| 6 | Norfolk Southern | 73.28 Bn | 67.74 Bn | - | 193.00 Mn |
| 7 | Delta Air Lines | 59.96 Bn | 42.14 Bn | - | - |
| 8 | United Airlines Holdings | 39.09 Bn | -18.60 Bn | - | 359.00 Mn |
| 9 | Old Dominion Freight Line | 35.40 Bn | 34.24 Bn | - | 32,000.00 |
| 10 | Jetblue Airways | 1.49 Bn | -6.36 Bn | - | 149.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 149.00 Mn |
| Jun 30, 2026 | 147.00 Mn |
| Mar 31, 2026 | 144.00 Mn |
| Dec 31, 2025 | 147.00 Mn |
| Sep 30, 2025 | 146.00 Mn |
| Jun 30, 2025 | 147.00 Mn |
| Mar 31, 2025 | 148.00 Mn |
| Dec 31, 2024 | 150.00 Mn |
| Sep 30, 2024 | 100.00 Mn |
| Jun 30, 2024 | 63.00 Mn |
| Mar 31, 2024 | 53.00 Mn |
| Dec 31, 2023 | 65.00 Mn |
| Sep 30, 2023 | 53.00 Mn |
| Jun 30, 2023 | 47.00 Mn |
| Sep 30, 2019 | 18.00 Mn |
| Jun 30, 2019 | 19.00 Mn |
| Mar 31, 2019 | 20.00 Mn |
| Sep 30, 2018 | 18.00 Mn |
| Jun 30, 2018 | 16.00 Mn |
| Mar 31, 2018 | 16.00 Mn |
Jetblue Airways Non Operating Interest 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=non-operating-interest-expenses&ticker=JBLU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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=non-operating-interest-expenses&ticker=JBLU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();