Vivid Seats (SEAT) Inventory (2020 - 2026)
Vivid Seats' Inventory was $26.93 million in Q2 2026, down 17.5% from $32.62 million a year earlier and down 6.8% from the prior quarter.
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Analysis
Vivid Seats (SEAT) Inventory (2020 - 2026) Analysis & Trends
At the end of FY2025, Inventory at Vivid Seats came in at $18.17 million, down 7.3% from FY2024.
- Inventory shows a five-year compound annual growth rate of 19.5% (FY2020 to FY2025).
- In earlier years, Inventory was $19.6 million in FY2024 (-6.7%), $21.02 million in FY2023 (+64.4%), $12.78 million in FY2022 (+8.6%) and $11.77 million in FY2021 (+57.8%).
- Quarterly Inventory has moved between $11.77 million (Q4 2021) and $32.62 million (Q2 2025) over five years.
- Compared with a year earlier, Inventory was higher in four of the last eight quarters, with an average decline of 2.0%.
- The best year-over-year quarter for Inventory over five years was Q4 2023 (growth of 64.4%); the worst was Q3 2022 (a decline of 17.5%).
- Per Business Quant data, SEAT's Inventory in the three quarters before Q2 2026 was $28.88 million (Q1 2026), $18.17 million (Q4 2025) and $23.57 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 9.99 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | - |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 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 | - |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | - |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | - |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | - |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | - |
| 10 | Vivid Seats | 60.49 Mn | -470.27 Mn | 91.22 Mn | 26.93 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 26.93 Mn |
| Mar 31, 2026 | 28.88 Mn |
| Dec 31, 2025 | 18.17 Mn |
| Sep 30, 2025 | 23.57 Mn |
| Jun 30, 2025 | 32.62 Mn |
| Mar 31, 2025 | 27.65 Mn |
| Dec 31, 2024 | 19.60 Mn |
| Sep 30, 2024 | 22.25 Mn |
| Jun 30, 2024 | 30.25 Mn |
| Mar 31, 2024 | 29.51 Mn |
| Dec 31, 2023 | 21.02 Mn |
| Sep 30, 2023 | 21.53 Mn |
| Jun 30, 2023 | 28.01 Mn |
| Mar 31, 2023 | 24.15 Mn |
| Dec 31, 2022 | 12.78 Mn |
| Sep 30, 2022 | 14.12 Mn |
| Jun 30, 2022 | 21.20 Mn |
| Mar 31, 2022 | 17.90 Mn |
| Dec 31, 2021 | 11.77 Mn |
| Sep 30, 2021 | 17.12 Mn |
API Access
Vivid Seats Inventory 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=inventory&ticker=SEAT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=SEAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();