Alaska Air (ALK) Shares Outstanding (2009 - 2026)
Alaska Air's Weighted Average Shares Outstanding was 111.13 million in Q3 2026, down 3.6% from 115.29 million a year earlier and unchanged from the prior quarter.
Alaska Air (ALK) Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2025, Weighted Average Shares Outstanding at Alaska Air came in at 118.17 million, down 6.3% from FY2024.
- Weighted Average Shares Outstanding shows a five-year compound annual growth rate of -0.9% (FY2020 to FY2025).
- In earlier years, Weighted Average Shares Outstanding was 126.14 million in FY2024 (-1.0%), 127.38 million in FY2023 (+0.6%), 126.66 million in FY2022 (+1.3%) and 125.06 million in FY2021 (+1.3%).
- Quarterly Weighted Average Shares Outstanding has moved between 111.13 million (Q2 2026) and 127.5 million (Q1 2023) over five years.
- Compared with a year earlier, Weighted Average Shares Outstanding has declined for 11 straight quarters, with an average decline of 5.2% over the last eight quarters.
- The best year-over-year quarter for Weighted Average Shares Outstanding over five years was Q1 2022 (growth of 1.4%); the worst was Q3 2025 (a decline of 8.6%).
- Per Business Quant data, ALK's Weighted Average Shares Outstanding in the three quarters before Q3 2026 was 111.13 million (Q2 2026), 114.29 million (Q1 2026) and 118.17 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 172.47 Bn | 164.72 Bn | - | 593.70 Mn |
| 2 | United Parcel Service | 92.24 Bn | 69.07 Bn | - | 851.00 Mn |
| 3 | Csx | 90.81 Bn | 86.03 Bn | - | 1.85 Bn |
| 4 | Canadian Pacific Kansas City | 81.61 Bn | 80.64 Bn | - | 886.40 Mn |
| 5 | Fedex | 72.98 Bn | 39.17 Bn | - | 237.00 Mn |
| 6 | Norfolk Southern | 71.87 Bn | 66.34 Bn | - | 224.60 Mn |
| 7 | Delta Air Lines | 57.23 Bn | 39.41 Bn | - | 655.00 Mn |
| 8 | United Airlines Holdings | 36.65 Bn | -21.05 Bn | - | 324.90 Mn |
| 9 | Old Dominion Freight Line | 34.12 Bn | 32.96 Bn | - | 207.09 Mn |
| 10 | Alaska Air | 4.34 Bn | -3.48 Bn | - | 111.13 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 111.13 Mn |
| Mar 31, 2026 | 114.29 Mn |
| Dec 31, 2025 | 118.17 Mn |
| Sep 30, 2025 | 115.29 Mn |
| Jun 30, 2025 | 118.85 Mn |
| Mar 31, 2025 | 123.13 Mn |
| Dec 31, 2024 | 126.14 Mn |
| Sep 30, 2024 | 126.19 Mn |
| Jun 30, 2024 | 126.34 Mn |
| Mar 31, 2024 | 125.97 Mn |
| Dec 31, 2023 | 127.38 Mn |
| Sep 30, 2023 | 127.19 Mn |
| Jun 30, 2023 | 127.44 Mn |
| Mar 31, 2023 | 127.50 Mn |
| Dec 31, 2022 | 126.66 Mn |
| Sep 30, 2022 | 126.78 Mn |
| Jun 30, 2022 | 126.54 Mn |
| Mar 31, 2022 | 125.98 Mn |
| Dec 31, 2021 | 125.06 Mn |
| Sep 30, 2021 | 125.25 Mn |
Alaska Air 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=ALK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "ALK", "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=ALK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();