Vivid Seats (SEAT) Accumulated Expenses (2020 - 2026)
Vivid Seats (SEAT) recorded Accumulated Expenses of $126.48 million in Q2 2026, down 9.0% from $138.91 million a year earlier but up 2.6% from the prior quarter.
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Analysis
Vivid Seats (SEAT) Accumulated Expenses (2020 - 2026) Analysis & Trends
At the end of FY2025, Vivid Seats reported Accumulated Expenses of $125.96 million, down 23.7% from FY2024.
- Annual Accumulated Expenses has a five-year compound annual growth rate of -13.2% (FY2020 to FY2025).
- Across earlier years, Accumulated Expenses came in at $165.05 million in FY2024 (-13.9%), $191.64 million in FY2023 (+5.3%), $181.97 million in FY2022 (-35.3%) and $281.16 million in FY2021 (+9.8%).
- Quarterly Accumulated Expenses has ranged from $123.25 million in Q1 2026 to $340.13 million in Q3 2021 over the past five years.
- On a year-over-year basis, Accumulated Expenses has declined for ten consecutive quarters, with an average decline of 17.3% over the last eight quarters.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 9.8% in Q4 2021, against a decline of 40.2% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $123.25 million (Q1 2026), $125.96 million (Q4 2025) and $126.99 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,109.95 Bn | 3,867.48 Bn | 73.85 Bn |
| 2 | Netflix | 282.52 Bn | 242.72 Bn | 6.52 Bn |
| 3 | Alibaba Group Holding | 249.53 Bn | 67.40 Bn | 15.11 Bn |
| 4 | Shopify | 193.10 Bn | 170.29 Bn | 1.71 Bn |
| 5 | Uber Technologies | 138.52 Bn | 110.49 Bn | 6.38 Bn |
| 6 | Booking Holdings | 120.43 Bn | 53.48 Bn | - |
| 7 | PDD Holdings | 108.89 Bn | -143.04 Bn | 9.45 Bn |
| 8 | Spotify Technology | 101.14 Bn | 58.37 Bn | 1.86 Bn |
| 9 | Airbnb | 94.68 Bn | 47.91 Bn | 2.98 Bn |
| 10 | Vivid Seats | 61.13 Mn | -469.63 Mn | 91.22 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 126.48 Mn |
| Mar 31, 2026 | 123.25 Mn |
| Dec 31, 2025 | 125.96 Mn |
| Sep 30, 2025 | 126.99 Mn |
| Jun 30, 2025 | 138.91 Mn |
| Mar 31, 2025 | 162.80 Mn |
| Dec 31, 2024 | 165.05 Mn |
| Sep 30, 2024 | 159.78 Mn |
| Jun 30, 2024 | 168.98 Mn |
| Mar 31, 2024 | 181.21 Mn |
| Dec 31, 2023 | 191.64 Mn |
| Sep 30, 2023 | 197.25 Mn |
| Jun 30, 2023 | 192.04 Mn |
| Mar 31, 2023 | 183.77 Mn |
| Dec 31, 2022 | 181.97 Mn |
| Sep 30, 2022 | 203.56 Mn |
| Jun 30, 2022 | 246.16 Mn |
| Mar 31, 2022 | 272.71 Mn |
| Dec 31, 2021 | 281.16 Mn |
| Sep 30, 2021 | 340.13 Mn |
API Access
Vivid Seats 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=accumulated-expenses&ticker=SEAT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=accumulated-expenses&ticker=SEAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();