Vivid Seats (SEAT) Shares Outstanding (Entity) (2020 - 2026)
Vivid Seats (SEAT) posted Shares Outstanding (Entity) of 16 million for Q2 2026, up 42.7% from 11.21 million a year earlier and up 45.6% from the prior quarter.
Vivid Seats (SEAT) Shares Outstanding (Entity) (2020 - 2026) Analysis & Trends
For FY2025, Vivid Seats' Shares Outstanding (Entity) came in at 7.25 million, down 66.1% from FY2024.
- Annual Shares Outstanding (Entity) shows a four-year compound annual growth rate of -22.1% (FY2021 to FY2025).
- In prior years, Vivid Seats' Shares Outstanding (Entity) was 21.41 million in FY2024 (+0.2%), 21.37 million in FY2023 (+7.7%), 19.84 million in FY2022 (+0.6%) and 19.73 million in FY2021.
- The Q2 2026 figure stands as the highest quarterly Shares Outstanding (Entity) since Q4 2024.
- On a year-over-year basis, Shares Outstanding (Entity) increased in six of the last eight quarters, with an average decline of 1.1%.
- The strongest year-over-year quarter for Shares Outstanding (Entity) in the past five years was Q2 2026, with growth of 42.7%; the weakest was Q4 2025, with a decline of 66.1%.
- According to Business Quant data, Shares Outstanding (Entity) for the three prior quarters was 10.99 million (Q1 2026), 7.25 million (Q4 2025) and 11.27 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,180.92 Bn | 3,938.44 Bn | 73.85 Bn | 12.15 Bn |
| 2 | Meta Platforms | 1,847.76 Bn | 1,550.28 Bn | 49.47 Bn | 2.55 Bn |
| 3 | Netflix | 289.73 Bn | 249.92 Bn | 6.52 Bn | 4.16 Bn |
| 4 | Alibaba Group Holding | 249.81 Bn | 67.68 Bn | 15.11 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 | 2.04 Bn |
| 7 | Booking Holdings | 122.41 Bn | 55.46 Bn | - | 751.38 Mn |
| 8 | PDD Holdings | 110.94 Bn | -140.99 Bn | 9.45 Bn | - |
| 9 | Spotify Technology | 100.32 Bn | 57.56 Bn | 1.86 Bn | - |
| 10 | Vivid Seats | 61.77 Mn | -468.99 Mn | 91.22 Mn | 16.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.00 Mn |
| Mar 31, 2026 | 10.99 Mn |
| Dec 31, 2025 | 7.25 Mn |
| Sep 30, 2025 | 11.27 Mn |
| Jun 30, 2025 | 11.21 Mn |
| Mar 31, 2025 | 11.12 Mn |
| Dec 31, 2024 | 21.41 Mn |
| Sep 30, 2024 | 10.95 Mn |
| Jun 30, 2024 | 10.94 Mn |
| Mar 31, 2024 | 10.91 Mn |
| Dec 31, 2023 | 21.37 Mn |
| Sep 30, 2023 | 10.08 Mn |
| Jun 30, 2023 | 10.07 Mn |
| Mar 31, 2023 | 10.06 Mn |
| Dec 31, 2022 | 19.84 Mn |
| Sep 30, 2022 | 10.01 Mn |
| Jun 30, 2022 | 9.87 Mn |
| Mar 31, 2022 | 9.87 Mn |
| Dec 31, 2021 | 19.73 Mn |
| Sep 30, 2021 | 5,000.00 |
Vivid Seats Shares Outstanding (Entity) 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-entity&ticker=SEAT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "ticker": "SEAT", "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-entity&ticker=SEAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();