Vivid Seats (SEAT) Current Assets (2020 - 2026)
Vivid Seats (SEAT) recorded Current Assets of $248.73 million in Q2 2026, down 6.1% from $264.93 million a year earlier but up 2.2% from the prior quarter.
Vivid Seats (SEAT) Current Assets (2020 - 2026) Analysis & Trends
At the end of FY2025, Vivid Seats reported Current Assets of $178.47 million, down 48.3% from FY2024.
- Annual Current Assets has a five-year compound annual growth rate of -15.2% (FY2020 to FY2025).
- Across earlier years, Current Assets came in at $345.17 million in FY2024 (+40.3%), $245.99 million in FY2023 (-25.8%), $331.52 million in FY2022 (-45.7%) and $610.21 million in FY2021 (+49.5%).
- Quarterly Current Assets has ranged from $178.47 million in Q4 2025 to $656.38 million in Q3 2021 over the past five years.
- On a year-over-year basis, Current Assets has declined for five consecutive quarters, with an average decline of 13.3% over the last eight quarters.
- Peak year-over-year performance for Current Assets in the last five years was growth of 49.5% in Q4 2021, against a decline of 48.3% in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $243.27 million (Q1 2026), $178.47 million (Q4 2025) and $233.91 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 343.52 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 125.48 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 13.85 Bn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | 106.83 Bn |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 7.82 Bn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 12.53 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 23.06 Bn |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | 82.06 Bn |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 5.39 Bn |
| 10 | Vivid Seats | 60.49 Mn | -470.27 Mn | 91.22 Mn | 248.73 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 248.73 Mn |
| Mar 31, 2026 | 243.27 Mn |
| Dec 31, 2025 | 178.47 Mn |
| Sep 30, 2025 | 233.91 Mn |
| Jun 30, 2025 | 264.93 Mn |
| Mar 31, 2025 | 319.79 Mn |
| Dec 31, 2024 | 345.17 Mn |
| Sep 30, 2024 | 325.92 Mn |
| Jun 30, 2024 | 370.82 Mn |
| Mar 31, 2024 | 296.86 Mn |
| Dec 31, 2023 | 245.99 Mn |
| Sep 30, 2023 | 405.50 Mn |
| Jun 30, 2023 | 427.79 Mn |
| Mar 31, 2023 | 408.01 Mn |
| Dec 31, 2022 | 331.52 Mn |
| Sep 30, 2022 | 364.05 Mn |
| Jun 30, 2022 | 412.91 Mn |
| Mar 31, 2022 | 461.90 Mn |
| Dec 31, 2021 | 610.21 Mn |
| Sep 30, 2021 | 656.38 Mn |
Vivid Seats Current Assets 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=current-assets&ticker=SEAT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-assets", "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=current-assets&ticker=SEAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();