Vivid Seats (SEAT) Other Operating Expenses (2022 - 2026)
Vivid Seats' Other Operating Expenses came in at $103.71 million for Q2 2026, down 75.8% from $429.02 million a year earlier but up 2.2% from the prior quarter.
Vivid Seats (SEAT) Other Operating Expenses (2022 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Vivid Seats reported Other Operating Expenses of $832.3 million, up 51.5% year-over-year; for FY2023, it was $998,000, down 51.7% from FY2022.
- Going back by year, Other Operating Expenses was $2.07 million in FY2022.
- The five-year range for quarterly Other Operating Expenses is -$34,000 (Q1 2023) to $513.1 million (Q4 2025).
- Business Quant data shows SEAT's Other Operating Expenses at $101.45 million (Q1 2026), $513.1 million (Q4 2025) and $114.04 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,180.92 Bn | 3,938.44 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,847.76 Bn | 1,550.28 Bn | 49.47 Bn |
| 3 | Netflix | 289.73 Bn | 249.92 Bn | 6.52 Bn |
| 4 | Alibaba Group Holding | 249.81 Bn | 67.68 Bn | 15.11 Bn |
| 5 | Shopify | 192.08 Bn | 169.26 Bn | 1.71 Bn |
| 6 | Uber Technologies | 139.76 Bn | 111.74 Bn | 6.38 Bn |
| 7 | Booking Holdings | 122.41 Bn | 55.46 Bn | - |
| 8 | PDD Holdings | 110.94 Bn | -140.99 Bn | 9.45 Bn |
| 9 | Spotify Technology | 100.32 Bn | 57.56 Bn | 1.86 Bn |
| 10 | Vivid Seats | 61.77 Mn | -468.99 Mn | 91.22 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 103.71 Mn |
| Mar 31, 2026 | 101.45 Mn |
| Dec 31, 2025 | 513.10 Mn |
| Sep 30, 2025 | 114.04 Mn |
| Jun 30, 2025 | 429.02 Mn |
| Mar 31, 2025 | 120.26 Mn |
| Sep 30, 2023 | -20,000.00 |
| Jun 30, 2023 | 1.05 Mn |
| Mar 31, 2023 | -34,000.00 |
| Dec 31, 2022 | 845,000.00 |
| Sep 30, 2022 | 1.22 Mn |
Vivid Seats Other Operating 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-operating-expenses&ticker=SEAT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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-operating-expenses&ticker=SEAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();