Ebay (EBAY) Shares Outstanding (Diluted) (2009 - 2026)
Ebay's Weighted Average Shares Outstanding (Diluted) was 455 million in Q3 2026, down 2.6% from 467 million a year earlier and unchanged from the prior quarter.
Ebay (EBAY) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Weighted Average Shares Outstanding (Diluted) at Ebay came in at 468 million, down 6.6% from FY2024.
- Weighted Average Shares Outstanding (Diluted) has now declined for 12 consecutive years, with a five-year compound annual growth rate of -8.2% (FY2020 to FY2025).
- In earlier years, Weighted Average Shares Outstanding (Diluted) was 501 million in FY2024 (-6.0%), 533 million in FY2023 (-4.5%), 558 million in FY2022 (-15.8%) and 663 million in FY2021 (-7.7%).
- Quarterly Weighted Average Shares Outstanding (Diluted) has moved between 455 million (Q2 2026) and 663 million (Q4 2021) over five years.
- Compared with a year earlier, Weighted Average Shares Outstanding (Diluted) has declined for 51 straight quarters, with an average decline of 5.4% over the last eight quarters.
- Over the past five years, the year-over-year decline in Weighted Average Shares Outstanding (Diluted) ranged from 2.6% (Q3 2026) to 18.8% (Q2 2022).
- Per Business Quant data, EBAY's Weighted Average Shares Outstanding (Diluted) in the three quarters before Q3 2026 was 455 million (Q2 2026), 457 million (Q1 2026) and 468 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,441.41 Bn | 3,176.31 Bn | 76.16 Bn | 12.31 Bn |
| 2 | Meta Platforms | 1,546.51 Bn | 1,211.03 Bn | 51.23 Bn | 2.57 Bn |
| 3 | Netflix | 269.88 Bn | 231.18 Bn | 6.80 Bn | 4.20 Bn |
| 4 | Alibaba Group Holding | 251.04 Bn | 64.67 Bn | 15.16 Bn | 2.40 Bn |
| 5 | Shopify | 185.46 Bn | 164.27 Bn | 1.78 Bn | 1.29 Bn |
| 6 | Uber Technologies | 139.78 Bn | 111.58 Bn | 6.38 Bn | 2.05 Bn |
| 7 | Booking Holdings | 126.33 Bn | 60.08 Bn | - | 753.00 Mn |
| 8 | Spotify Technology | 126.29 Bn | 83.21 Bn | 1.89 Bn | 210.51 Mn |
| 9 | AppLovin | 119.11 Bn | 107.63 Bn | 1.94 Bn | 334.77 Mn |
| 10 | Ebay | 54.74 Bn | 42.68 Bn | 2.32 Bn | 453.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 453.00 Mn |
| Jun 30, 2026 | 455.00 Mn |
| Mar 31, 2026 | 457.00 Mn |
| Dec 31, 2025 | 468.00 Mn |
| Sep 30, 2025 | 467.00 Mn |
| Jun 30, 2025 | 470.00 Mn |
| Mar 31, 2025 | 475.00 Mn |
| Dec 31, 2024 | 501.00 Mn |
| Sep 30, 2024 | 494.00 Mn |
| Jun 30, 2024 | 507.00 Mn |
| Mar 31, 2024 | 519.00 Mn |
| Dec 31, 2023 | 533.00 Mn |
| Sep 30, 2023 | 532.00 Mn |
| Jun 30, 2023 | 537.00 Mn |
| Mar 31, 2023 | 541.00 Mn |
| Dec 31, 2022 | 558.00 Mn |
| Sep 30, 2022 | 548.00 Mn |
| Jun 30, 2022 | 556.00 Mn |
| Mar 31, 2022 | 587.00 Mn |
| Dec 31, 2021 | 663.00 Mn |
Ebay 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=EBAY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "EBAY", "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=EBAY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();