Jetblue Airways (JBLU) Capital Expenditures (2009 - 2026)
Jetblue Airways (JBLU) recorded Capital Expenditures of $222 million in Q2 2026, down 25.3% from $297 million a year earlier but up 76.2% from the prior quarter.
Jetblue Airways (JBLU) Capital Expenditures (2009 - 2026) Analysis & Trends
On a TTM basis, Jetblue Airways' Capital Expenditures came in at $953 million as of Jun 30, 2026, down 13.1% year-over-year; for FY2025, it came in at $1.08 billion, down 27.1% from FY2024.
- Annual Capital Expenditures has a five-year compound annual growth rate of 8.6% (FY2020 to FY2025).
- Across earlier years, Capital Expenditures came in at $1.48 billion in FY2024 (+31.0%), $1.13 billion in FY2023 (+47.1%), $767 million in FY2022 (-15.4%) and $907 million in FY2021 (+26.9%).
- Quarterly Capital Expenditures has ranged from $85 million in Q1 2022 to $427 million in Q2 2024 over the past five years.
- On a year-over-year basis, Capital Expenditures has declined for eight consecutive quarters, with an average decline of 21.0% over the last eight quarters.
- Peak year-over-year performance for Capital Expenditures in the last five years was growth of 148.3% in Q1 2024, against a decline of 59.7% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $126 million (Q1 2026), $336 million (Q4 2025) and $269 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 165.28 Bn | 159.81 Bn | - | 873.00 Mn |
| 2 | Csx | 87.86 Bn | 84.08 Bn | - | 576.00 Mn |
| 3 | Canadian Pacific Kansas City | 75.56 Bn | 75.27 Bn | - | 547.98 Mn |
| 4 | Norfolk Southern | 71.27 Bn | 65.91 Bn | - | 439.00 Mn |
| 5 | United Parcel Service | 69.70 Bn | 46.62 Bn | - | 693.00 Mn |
| 6 | Fedex | 68.71 Bn | 34.65 Bn | - | 1.47 Bn |
| 7 | Delta Air Lines | 55.32 Bn | 37.50 Bn | - | -786.00 Mn |
| 8 | Old Dominion Freight Line | 37.44 Bn | 36.71 Bn | - | 77.04 Mn |
| 9 | United Airlines Holdings | 36.52 Bn | -19.85 Bn | - | 1.34 Bn |
| 10 | Jetblue Airways | 1.56 Bn | -7.40 Bn | - | 222.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 222.00 Mn |
| Mar 31, 2026 | 126.00 Mn |
| Dec 31, 2025 | 336.00 Mn |
| Sep 30, 2025 | 269.00 Mn |
| Jun 30, 2025 | 297.00 Mn |
| Mar 31, 2025 | 176.00 Mn |
| Dec 31, 2024 | 351.00 Mn |
| Sep 30, 2024 | 273.00 Mn |
| Jun 30, 2024 | 427.00 Mn |
| Mar 31, 2024 | 427.00 Mn |
| Dec 31, 2023 | 378.00 Mn |
| Sep 30, 2023 | 311.00 Mn |
| Jun 30, 2023 | 267.00 Mn |
| Mar 31, 2023 | 172.00 Mn |
| Dec 31, 2022 | 284.00 Mn |
| Sep 30, 2022 | 209.00 Mn |
| Jun 30, 2022 | 189.00 Mn |
| Mar 31, 2022 | 85.00 Mn |
| Dec 31, 2021 | 137.00 Mn |
| Sep 30, 2021 | 246.00 Mn |
Jetblue Airways Capital Expenditures 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=capital-expenditures&ticker=JBLU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=JBLU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();