Vivid Seats (SEAT) Shares Outstanding (Diluted) (2021 - 2026)
Vivid Seats (SEAT) recorded Weighted Average Shares Outstanding (Diluted) of 11.05 million in Q2 2026, up 6.8% from 10.35 million a year earlier and up 2.2% from the prior quarter.
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Analysis
Vivid Seats (SEAT) Shares Outstanding (Diluted) (2021 - 2026) Analysis & Trends
For FY2025, Vivid Seats reported Weighted Average Shares Outstanding (Diluted) of 10.43 million, down 0.3% from FY2024.
- Annual Weighted Average Shares Outstanding (Diluted) has a four-year compound annual growth rate of 28.1% (FY2021 to FY2025).
- Across earlier years, Weighted Average Shares Outstanding (Diluted) came in at 10.46 million in FY2024 (+5.2%), 9.94 million in FY2023 (+0.1%), 9.94 million in FY2022 (+156.4%) and 3.87 million in FY2021.
- The Q2 2026 figure is the highest quarterly Weighted Average Shares Outstanding (Diluted) in data going back to Q4 2021.
- On a year-over-year basis, Weighted Average Shares Outstanding (Diluted) rose in five of the last eight quarters, with growth averaging 13.3%.
- Peak year-over-year performance for Weighted Average Shares Outstanding (Diluted) in the last five years was growth of 156.4% in Q4 2022, against a decline of 1.3% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at 10.82 million (Q1 2026), 10.43 million (Q4 2025) and 10.3 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,505.75 Bn | 3,240.65 Bn | 76.16 Bn | 12.31 Bn |
| 2 | Meta Platforms | 1,636.37 Bn | 1,300.89 Bn | 51.23 Bn | 2.57 Bn |
| 3 | Netflix | 264.79 Bn | 226.09 Bn | 6.80 Bn | 4.20 Bn |
| 4 | Alibaba Group Holding | 244.49 Bn | 58.13 Bn | 15.16 Bn | 2.40 Bn |
| 5 | Shopify | 196.00 Bn | 174.81 Bn | 1.78 Bn | 1.29 Bn |
| 6 | Uber Technologies | 145.16 Bn | 115.98 Bn | 6.42 Bn | 2.05 Bn |
| 7 | AppLovin | 136.87 Bn | 125.40 Bn | 1.94 Bn | 334.77 Mn |
| 8 | Spotify Technology | 125.04 Bn | 81.96 Bn | 1.89 Bn | 210.51 Mn |
| 9 | Booking Holdings | 122.68 Bn | 56.42 Bn | - | 753.00 Mn |
| 10 | Vivid Seats | 16.63 Mn | -514.13 Mn | 91.22 Mn | 11.05 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.05 Mn |
| Mar 31, 2026 | 10.82 Mn |
| Dec 31, 2025 | 10.43 Mn |
| Sep 30, 2025 | 10.30 Mn |
| Jun 30, 2025 | 10.35 Mn |
| Mar 31, 2025 | 10.46 Mn |
| Dec 31, 2024 | 10.46 Mn |
| Sep 30, 2024 | 6.60 Mn |
| Jun 30, 2024 | 10.40 Mn |
| Mar 31, 2024 | 10.55 Mn |
| Dec 31, 2023 | 9.94 Mn |
| Sep 30, 2023 | 4.84 Mn |
| Jun 30, 2023 | 9.82 Mn |
| Mar 31, 2023 | 9.79 Mn |
| Dec 31, 2022 | 9.94 Mn |
| Sep 30, 2022 | 4.10 Mn |
| Jun 30, 2022 | 3.96 Mn |
| Mar 31, 2022 | 9.92 Mn |
| Dec 31, 2021 | 3.87 Mn |
API Access
Vivid Seats 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=SEAT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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-diluted&ticker=SEAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();