Jetblue Airways (JBLU) Non Operating Interest Expenses (2009 - 2026)
Jetblue Airways' Non Operating Interest Expenses was $147 million in Q2 2026, unchanged from $147 million a year earlier and up 2.1% 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 $584 million through Jun 30, 2026, up 7.2% 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.
- Quarterly Non Operating Interest Expenses has moved between $47 million (Q2 2023) and $150 million (Q4 2024) over five years.
- Compared with a year earlier, Non Operating Interest Expenses was higher in five of the last eight quarters, with growth averaging 71.7%.
- 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 Q2 2026 was $144 million (Q1 2026), $147 million (Q4 2025) and $146 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 161.62 Bn | 156.15 Bn | - | 313.00 Mn |
| 2 | Csx | 86.16 Bn | 82.37 Bn | - | 211.00 Mn |
| 3 | Canadian Pacific Kansas City | 74.78 Bn | 74.50 Bn | - | - |
| 4 | United Parcel Service | 70.01 Bn | 46.94 Bn | - | 272.00 Mn |
| 5 | Norfolk Southern | 69.45 Bn | 64.09 Bn | - | 197.00 Mn |
| 6 | Fedex | 67.46 Bn | 33.40 Bn | - | - |
| 7 | Delta Air Lines | 54.88 Bn | 37.06 Bn | - | - |
| 8 | Old Dominion Freight Line | 36.07 Bn | 35.33 Bn | - | 76,000.00 |
| 9 | Ryanair Holdings | 28.71 Bn | 12.72 Bn | 3.13 Bn | -17.32 Mn |
| 10 | Jetblue Airways | 1.59 Bn | -7.37 Bn | - | 147.00 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2017 | 23.00 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();