Vivid Seats (SEAT) Cash & Equivalents (2020 - 2026)
Vivid Seats' Cash & Equivalents came in at $137.58 million for Q2 2026, down 10.7% from $153.99 million a year earlier and down 4.6% from the prior quarter.
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Analysis
Vivid Seats (SEAT) Cash & Equivalents (2020 - 2026) Analysis & Trends
At the end of FY2025, Vivid Seats' Cash & Equivalents was $103.31 million, down 57.8% from FY2024.
- Cash & Equivalents carries a five-year compound annual growth rate of -18.4% (FY2020 to FY2025).
- Going back by year, Cash & Equivalents was $244.65 million in FY2024 (+84.7%), $132.43 million in FY2023 (-47.5%), $252.29 million in FY2022 (-48.5%) and $489.81 million in FY2021 (+71.7%).
- The five-year range for quarterly Cash & Equivalents is $103.31 million (Q4 2025) to $489.81 million (Q4 2021).
- Year-over-year, Cash & Equivalents has declined for five consecutive quarters, with an average decline of 9.5% over the last eight quarters.
- The fastest year-over-year change in Cash & Equivalents over five years came in Q4 2024 (growth of 84.7%), and the weakest in Q4 2025 (a decline of 57.8%).
- Business Quant data shows SEAT's Cash & Equivalents at $144.16 million (Q1 2026), $103.31 million (Q4 2025) and $145.71 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,173.87 Bn | 3,931.39 Bn | 73.85 Bn | 55.91 Bn |
| 2 | Meta Platforms | 1,849.67 Bn | 1,552.19 Bn | 49.47 Bn | 15.46 Bn |
| 3 | Netflix | 279.23 Bn | 239.43 Bn | 6.52 Bn | 9.10 Bn |
| 4 | Alibaba Group Holding | 245.86 Bn | 63.73 Bn | 15.11 Bn | 21.06 Bn |
| 5 | Shopify | 196.08 Bn | 173.27 Bn | 1.71 Bn | 1.66 Bn |
| 6 | Uber Technologies | 138.90 Bn | 110.88 Bn | 6.38 Bn | 4.87 Bn |
| 7 | Booking Holdings | 119.48 Bn | 52.53 Bn | - | 17.21 Bn |
| 8 | PDD Holdings | 107.30 Bn | -144.64 Bn | 9.45 Bn | 19.00 Bn |
| 9 | Spotify Technology | 97.33 Bn | 54.56 Bn | 1.86 Bn | 6.90 Bn |
| 10 | Vivid Seats | 56.33 Mn | -474.43 Mn | 91.22 Mn | 137.58 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 137.58 Mn |
| Mar 31, 2026 | 144.16 Mn |
| Dec 31, 2025 | 103.31 Mn |
| Sep 30, 2025 | 145.71 Mn |
| Jun 30, 2025 | 153.99 Mn |
| Mar 31, 2025 | 200.69 Mn |
| Dec 31, 2024 | 244.65 Mn |
| Sep 30, 2024 | 208.46 Mn |
| Jun 30, 2024 | 240.43 Mn |
| Mar 31, 2024 | 160.88 Mn |
| Dec 31, 2023 | 132.43 Mn |
| Sep 30, 2023 | 269.73 Mn |
| Jun 30, 2023 | 306.87 Mn |
| Mar 31, 2023 | 303.99 Mn |
| Dec 31, 2022 | 252.29 Mn |
| Sep 30, 2022 | 274.40 Mn |
| Jun 30, 2022 | 288.03 Mn |
| Mar 31, 2022 | 314.34 Mn |
| Dec 31, 2021 | 489.81 Mn |
| Sep 30, 2021 | 488.47 Mn |
API Access
Vivid Seats Cash & Equivalents 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=cash-and-equivalents&ticker=SEAT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=SEAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();