Vivid Seats (SEAT) EBITDA (2020 - 2026)
Vivid Seats (SEAT) posted EBITDA of $5.88 million for Q2 2026, compared with -$319.38 million a year earlier and up 67.0% from the prior quarter.
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Analysis
Vivid Seats (SEAT) EBITDA (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at Vivid Seats was -$408.65 million; for FY2025, it was -$730.13 million.
- In prior years, Vivid Seats' EBITDA was $86.46 million in FY2024 (-12.2%), $98.52 million in FY2023 (+14.8%), $85.84 million in FY2022 (+8.8%) and $78.89 million in FY2021.
- The Q2 2026 figure stands as the highest quarterly EBITDA since Q1 2025.
- The strongest year-over-year quarter for EBITDA in the past five years was Q1 2023, with growth of 139.0%; the weakest was Q1 2025, with a decline of 76.6%.
- According to Business Quant data, EBITDA for the three prior quarters was $3.52 million (Q1 2026), -$408.92 million (Q4 2025) and -$9.12 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 47.87 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 25.13 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 4.29 Bn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | - |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 495.00 Mn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 2.09 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 2.63 Bn |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | - |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 1.53 Bn |
| 10 | Vivid Seats | 60.49 Mn | -470.27 Mn | 91.22 Mn | 5.88 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.88 Mn |
| Mar 31, 2026 | 3.52 Mn |
| Dec 31, 2025 | -408.92 Mn |
| Sep 30, 2025 | -9.12 Mn |
| Jun 30, 2025 | -319.38 Mn |
| Mar 31, 2025 | 7.30 Mn |
| Dec 31, 2024 | 15.49 Mn |
| Sep 30, 2024 | 21.44 Mn |
| Jun 30, 2024 | 18.38 Mn |
| Mar 31, 2024 | 31.16 Mn |
| Dec 31, 2023 | 18.67 Mn |
| Sep 30, 2023 | 23.42 Mn |
| Jun 30, 2023 | 20.32 Mn |
| Mar 31, 2023 | 36.11 Mn |
| Dec 31, 2022 | 27.22 Mn |
| Sep 30, 2022 | 23.86 Mn |
| Jun 30, 2022 | 19.65 Mn |
| Mar 31, 2022 | 15.11 Mn |
| Dec 31, 2021 | 46.36 Mn |
| Sep 30, 2021 | 16.18 Mn |
API Access
Vivid Seats EBITDA 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=ebitda&ticker=SEAT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=SEAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();