Vivid Seats (SEAT) Revenue (2020 - 2026)
Vivid Seats' Revenue came in at $129.86 million for Q2 2026, down 9.5% from $143.57 million a year earlier but up 3.2% from the prior quarter.
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Analysis
Vivid Seats (SEAT) Revenue (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Vivid Seats reported Revenue of $518.83 million, down 25.2% year-over-year; for FY2025, it was $570.78 million, down 26.4% from FY2024.
- Revenue carries a five-year compound annual growth rate of 74.7% (FY2020 to FY2025).
- Going back by year, Revenue was $775.59 million in FY2024 (-2.8%), $797.9 million in FY2023 (+15.9%), $688.63 million in FY2022 (+55.4%) and $443.04 million in FY2021.
- The five-year range for quarterly Revenue is $125.78 million (Q1 2026) to $283.32 million (Q4 2023).
- Year-over-year, Revenue has declined for eight consecutive quarters, with an average decline of 21.0% over the last eight quarters.
- The fastest year-over-year change in Revenue over five years came in Q1 2022 (growth of 442.3%), and the weakest in Q4 2025 (a decline of 36.5%).
- Business Quant data shows SEAT's Revenue at $125.78 million (Q1 2026), $126.81 million (Q4 2025) and $136.37 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,180.92 Bn | 3,938.44 Bn | 73.85 Bn | 119.80 Bn |
| 2 | Meta Platforms | 1,847.76 Bn | 1,550.28 Bn | 49.47 Bn | 60.80 Bn |
| 3 | Netflix | 289.73 Bn | 249.92 Bn | 6.52 Bn | 12.56 Bn |
| 4 | Alibaba Group Holding | 249.81 Bn | 67.68 Bn | 15.11 Bn | 39.64 Bn |
| 5 | Shopify | 192.08 Bn | 169.26 Bn | 1.71 Bn | 3.58 Bn |
| 6 | Uber Technologies | 139.76 Bn | 111.74 Bn | 6.38 Bn | 14.19 Bn |
| 7 | Booking Holdings | 122.41 Bn | 55.46 Bn | - | 7.35 Bn |
| 8 | PDD Holdings | 110.94 Bn | -140.99 Bn | 9.45 Bn | 16.56 Bn |
| 9 | Spotify Technology | 100.32 Bn | 57.56 Bn | 1.86 Bn | 5.55 Bn |
| 10 | Vivid Seats | 61.77 Mn | -468.99 Mn | 91.22 Mn | 129.86 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 129.86 Mn |
| Mar 31, 2026 | 125.78 Mn |
| Dec 31, 2025 | 126.81 Mn |
| Sep 30, 2025 | 136.37 Mn |
| Jun 30, 2025 | 143.57 Mn |
| Mar 31, 2025 | 164.02 Mn |
| Dec 31, 2024 | 199.81 Mn |
| Sep 30, 2024 | 186.61 Mn |
| Jun 30, 2024 | 198.32 Mn |
| Mar 31, 2024 | 190.85 Mn |
| Dec 31, 2023 | 283.32 Mn |
| Sep 30, 2023 | 188.13 Mn |
| Jun 30, 2023 | 165.38 Mn |
| Mar 31, 2023 | 161.06 Mn |
| Dec 31, 2022 | 253.35 Mn |
| Sep 30, 2022 | 156.82 Mn |
| Jun 30, 2022 | 147.69 Mn |
| Mar 31, 2022 | 130.77 Mn |
| Dec 31, 2021 | 163.89 Mn |
| Sep 30, 2021 | 139.54 Mn |
API Access
Vivid Seats Revenue 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=revenue&ticker=SEAT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=SEAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();