Expedia (EXPE) Shares Outstanding (Diluted) (2009 - 2026)
Expedia's Shares Outstanding (Diluted) was 122.55 million in Q2 2026, down 7.7% from 132.81 million a year earlier but up 0.6% from the prior quarter.
Expedia (EXPE) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Shares Outstanding (Diluted) at Expedia came in at 131.94 million, down 4.3% from FY2024.
- Shares Outstanding (Diluted) has now declined for three consecutive years, with a five-year compound annual growth rate of -1.4% (FY2020 to FY2025).
- In earlier years, Shares Outstanding (Diluted) was 137.92 million in FY2024 (-8.2%), 150.23 million in FY2023 (-7.1%), 161.75 million in FY2022 (+8.0%) and 149.73 million in FY2021 (+5.9%).
- Quarterly Shares Outstanding (Diluted) has moved between 121.83 million (Q1 2026) and 161.83 million (Q3 2022) over five years.
- Compared with a year earlier, Shares Outstanding (Diluted) has declined for 14 straight quarters, with an average decline of 5.7% over the last eight quarters.
- The best year-over-year quarter for Shares Outstanding (Diluted) over five years was Q3 2021 (growth of 13.6%); the worst was Q1 2024 (a decline of 11.1%).
- Per Business Quant data, EXPE's Shares Outstanding (Diluted) in the three quarters before Q2 2026 was 121.83 million (Q1 2026), 131.94 million (Q4 2025) and 131.01 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,180.92 Bn | 3,938.44 Bn | 73.85 Bn | 12.31 Bn |
| 2 | Meta Platforms | 1,847.76 Bn | 1,550.28 Bn | 49.47 Bn | 2.57 Bn |
| 3 | Netflix | 289.73 Bn | 249.92 Bn | 6.52 Bn | 4.26 Bn |
| 4 | Alibaba Group Holding | 249.81 Bn | 67.68 Bn | 15.11 Bn | 2.40 Bn |
| 5 | Shopify | 192.08 Bn | 169.26 Bn | 1.71 Bn | 1.30 Bn |
| 6 | Uber Technologies | 139.76 Bn | 111.74 Bn | 6.38 Bn | 2.05 Bn |
| 7 | Booking Holdings | 122.41 Bn | 55.46 Bn | - | 770.00 Mn |
| 8 | PDD Holdings | 110.94 Bn | -140.99 Bn | 9.45 Bn | 1.48 Bn |
| 9 | Spotify Technology | 100.32 Bn | 57.56 Bn | 1.86 Bn | 210.51 Mn |
| 10 | Expedia | 30.15 Bn | 5.32 Bn | 3.91 Bn | 122.55 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 122.55 Mn |
| Mar 31, 2026 | 121.83 Mn |
| Dec 31, 2025 | 131.94 Mn |
| Sep 30, 2025 | 131.01 Mn |
| Jun 30, 2025 | 132.81 Mn |
| Mar 31, 2025 | 128.64 Mn |
| Dec 31, 2024 | 137.92 Mn |
| Sep 30, 2024 | 135.73 Mn |
| Jun 30, 2024 | 137.83 Mn |
| Mar 31, 2024 | 135.50 Mn |
| Dec 31, 2023 | 150.23 Mn |
| Sep 30, 2023 | 147.75 Mn |
| Jun 30, 2023 | 151.84 Mn |
| Mar 31, 2023 | 152.48 Mn |
| Dec 31, 2022 | 161.75 Mn |
| Sep 30, 2022 | 161.83 Mn |
| Jun 30, 2022 | 157.29 Mn |
| Mar 31, 2022 | 156.37 Mn |
| Dec 31, 2021 | 149.73 Mn |
| Sep 30, 2021 | 160.46 Mn |
Expedia Shares Outstanding (Diluted) 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-diluted&ticker=EXPE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "EXPE", "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-diluted&ticker=EXPE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();