Jetblue Airways (JBLU) Operating Expenses (2009 - 2026)
Jetblue Airways' Operating Expenses came in at $2.84 billion for Q2 2026, up 20.8% from $2.35 billion a year earlier and up 15.2% from the prior quarter.
Powered by 
Analysis
Jetblue Airways (JBLU) Operating Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Jetblue Airways reported Operating Expenses of $10.07 billion, up 7.9% year-over-year; for FY2025, it came in at $9.43 billion, down 5.3% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 15.1% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $9.96 billion in FY2024 (+1.2%), $9.85 billion in FY2023 (+4.1%), $9.46 billion in FY2022 (+54.6%) and $6.12 billion in FY2021 (+31.0%).
- The Q2 2026 figure represents the highest quarterly Operating Expenses since Q1 2024.
- Year-over-year, Operating Expenses has increased for four consecutive quarters, with an average year-over-year change of 0.0% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q1 2022 (growth of 104.8%), and the weakest in Q1 2025 (a decline of 21.0%).
- Business Quant data shows JBLU's Operating Expenses at $2.46 billion (Q1 2026), $2.34 billion (Q4 2025) and $2.42 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 170.80 Bn | 165.33 Bn | - | 4.10 Bn |
| 2 | Csx | 89.17 Bn | 85.38 Bn | - | 2.43 Bn |
| 3 | United Parcel Service | 83.81 Bn | 60.70 Bn | - | 21.90 Bn |
| 4 | Canadian Pacific Kansas City | 77.31 Bn | 76.33 Bn | - | 1.95 Bn |
| 5 | Norfolk Southern | 73.23 Bn | 67.87 Bn | - | 2.34 Bn |
| 6 | Fedex | 70.82 Bn | 36.77 Bn | - | 23.46 Bn |
| 7 | Delta Air Lines | 50.27 Bn | 32.46 Bn | - | 18.73 Bn |
| 8 | Old Dominion Freight Line | 39.09 Bn | 38.36 Bn | - | 1.09 Bn |
| 9 | United Airlines Holdings | 31.83 Bn | -24.55 Bn | - | 16.58 Bn |
| 10 | Jetblue Airways | 1.10 Bn | -7.87 Bn | - | 2.84 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.84 Bn |
| Mar 31, 2026 | 2.46 Bn |
| Dec 31, 2025 | 2.34 Bn |
| Sep 30, 2025 | 2.42 Bn |
| Jun 30, 2025 | 2.35 Bn |
| Mar 31, 2025 | 2.31 Bn |
| Dec 31, 2024 | 2.26 Bn |
| Sep 30, 2024 | 2.40 Bn |
| Jun 30, 2024 | 2.37 Bn |
| Mar 31, 2024 | 2.93 Bn |
| Dec 31, 2023 | 2.39 Bn |
| Sep 30, 2023 | 2.51 Bn |
| Jun 30, 2023 | 2.38 Bn |
| Mar 31, 2023 | 2.57 Bn |
| Dec 31, 2022 | 2.37 Bn |
| Sep 30, 2022 | 2.42 Bn |
| Jun 30, 2022 | 2.56 Bn |
| Mar 31, 2022 | 2.10 Bn |
| Dec 31, 2021 | 1.95 Bn |
| Sep 30, 2021 | 1.79 Bn |
API Access
Jetblue Airways Operating 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=operating-expenses&ticker=JBLU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=JBLU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();