Jetblue Airways (JBLU) Shares Outstanding (2009 - 2026)
Jetblue Airways (JBLU) recorded Weighted Average Shares Outstanding of 377.3 million in Q3 2026, up 3.7% from 363.7 million a year earlier and up 0.4% from the prior quarter.
Jetblue Airways (JBLU) Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2025, Jetblue Airways reported Weighted Average Shares Outstanding of 362.1 million, up 4.7% from FY2024.
- Annual Weighted Average Shares Outstanding has increased for five straight years, with a five-year compound annual growth rate of 5.5% (FY2020 to FY2025).
- Across earlier years, Weighted Average Shares Outstanding came in at 346 million in FY2024 (+3.9%), 332.9 million in FY2023 (+2.9%), 323.6 million in FY2022 (+1.8%) and 318 million in FY2021 (+14.6%).
- The Q3 2026 figure is the highest quarterly Weighted Average Shares Outstanding in data going back to Q4 2009.
- On a year-over-year basis, Weighted Average Shares Outstanding has increased for 23 consecutive quarters, with growth averaging 4.4% over the last eight quarters.
- Across the past five years, year-over-year growth in Weighted Average Shares Outstanding ran from 1.3% in Q1 2022 to 14.6% in Q4 2021.
- Per Business Quant, the preceding three quarters came in at 375.9 million (Q2 2026), 370.8 million (Q1 2026) and 362.1 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 176.50 Bn | 168.74 Bn | - | 593.70 Mn |
| 2 | United Parcel Service | 94.38 Bn | 71.20 Bn | - | 851.00 Mn |
| 3 | Csx | 93.38 Bn | 88.60 Bn | - | 1.85 Bn |
| 4 | Canadian Pacific Kansas City | 83.29 Bn | 82.32 Bn | - | 886.40 Mn |
| 5 | Fedex | 75.61 Bn | 41.81 Bn | - | 237.00 Mn |
| 6 | Norfolk Southern | 73.28 Bn | 67.74 Bn | - | 224.60 Mn |
| 7 | Delta Air Lines | 59.96 Bn | 42.14 Bn | - | 655.00 Mn |
| 8 | United Airlines Holdings | 39.09 Bn | -18.60 Bn | - | 324.90 Mn |
| 9 | Old Dominion Freight Line | 35.40 Bn | 34.24 Bn | - | 207.09 Mn |
| 10 | Jetblue Airways | 1.49 Bn | -6.36 Bn | - | 377.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 377.30 Mn |
| Jun 30, 2026 | 375.90 Mn |
| Mar 31, 2026 | 370.80 Mn |
| Dec 31, 2025 | 362.10 Mn |
| Sep 30, 2025 | 363.70 Mn |
| Jun 30, 2025 | 361.30 Mn |
| Mar 31, 2025 | 353.70 Mn |
| Dec 31, 2024 | 346.00 Mn |
| Sep 30, 2024 | 346.90 Mn |
| Jun 30, 2024 | 345.10 Mn |
| Mar 31, 2024 | 339.70 Mn |
| Dec 31, 2023 | 332.90 Mn |
| Sep 30, 2023 | 333.30 Mn |
| Jun 30, 2023 | 331.90 Mn |
| Mar 31, 2023 | 327.60 Mn |
| Dec 31, 2022 | 323.60 Mn |
| Sep 30, 2022 | 323.90 Mn |
| Jun 30, 2022 | 323.10 Mn |
| Mar 31, 2022 | 320.50 Mn |
| Dec 31, 2021 | 318.00 Mn |
Jetblue Airways Shares Outstanding 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=shares-outstanding&ticker=JBLU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=JBLU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();