Vivid Seats (SEAT) Other Accumulated Expenses (2022 - 2026)
Vivid Seats' Other Accumulated Expenses was $600,000 in Q2 2026, unchanged from $600,000 a year earlier and unchanged from the prior quarter.
Vivid Seats (SEAT) Other Accumulated Expenses (2022 - 2026) Analysis & Trends
At the end of FY2025, Other Accumulated Expenses at Vivid Seats came in at $2.31 million, up 16.9% from FY2024.
- Other Accumulated Expenses shows a three-year compound annual growth rate of 58.5% (FY2022 to FY2025).
- In earlier years, Other Accumulated Expenses was $1.97 million in FY2024 (-4.2%), $2.06 million in FY2023 (+255.6%) and $579,000 in FY2022.
- Quarterly Other Accumulated Expenses has moved between $579,000 (Q4 2022) and $2.31 million (Q4 2025) over five years.
- Compared with a year earlier, Other Accumulated Expenses was higher in 1 of the last four quarters, with growth averaging 3.2%.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,173.87 Bn | 3,931.39 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,849.67 Bn | 1,552.19 Bn | 49.47 Bn |
| 3 | Netflix | 279.23 Bn | 239.43 Bn | 6.52 Bn |
| 4 | Alibaba Group Holding | 245.86 Bn | 63.73 Bn | 15.11 Bn |
| 5 | Shopify | 196.08 Bn | 173.27 Bn | 1.71 Bn |
| 6 | Uber Technologies | 138.90 Bn | 110.88 Bn | 6.38 Bn |
| 7 | Booking Holdings | 119.48 Bn | 52.53 Bn | - |
| 8 | PDD Holdings | 107.30 Bn | -144.64 Bn | 9.45 Bn |
| 9 | Spotify Technology | 97.33 Bn | 54.56 Bn | 1.86 Bn |
| 10 | Vivid Seats | 56.33 Mn | -474.43 Mn | 91.22 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 600,000.00 |
| Mar 31, 2026 | 600,000.00 |
| Dec 31, 2025 | 2.31 Mn |
| Jun 30, 2025 | 600,000.00 |
| Mar 31, 2025 | 600,000.00 |
| Dec 31, 2024 | 1.97 Mn |
| Dec 31, 2023 | 2.06 Mn |
| Dec 31, 2022 | 579,000.00 |
Vivid Seats Other Accumulated Expenses 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=other-accumulated-expenses&ticker=SEAT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=SEAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();