Vivid Seats (SEAT) Total Liabilities (2020 - 2026)
Vivid Seats (SEAT) posted Total Liabilities of $793.88 million for Q2 2026, down 14.8% from $931.93 million a year earlier but up 0.9% from the prior quarter.
Powered by 
Analysis
Vivid Seats (SEAT) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Vivid Seats' Total Liabilities came in at $722 million, down 47.5% from FY2024.
- Annual Total Liabilities has declined for four consecutive years, with a five-year compound annual growth rate of -12.8% (FY2020 to FY2025).
- In prior years, Vivid Seats' Total Liabilities was $1.37 billion in FY2024 (-4.9%), $1.45 billion in FY2023 (-5.8%), $1.53 billion in FY2022 (-32.4%) and $2.27 billion in FY2021 (+58.6%).
- Quarterly Total Liabilities has run from a low of $722 million in Q4 2025 to a high of $2.27 billion in Q4 2021 over five years.
- On a year-over-year basis, Total Liabilities has declined in each of the last 16 quarters, with an average decline of 25.7% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q4 2021, with growth of 58.6%; the weakest was Q4 2025, with a decline of 47.5%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $787.13 million (Q1 2026), $722 million (Q4 2025) and $834.93 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 281.50 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 188.74 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 28.30 Bn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | 125.68 Bn |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 1.79 Bn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 37.58 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 40.47 Bn |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | 31.67 Bn |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 5.11 Bn |
| 10 | Vivid Seats | 60.49 Mn | -470.27 Mn | 91.22 Mn | 793.88 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 793.88 Mn |
| Mar 31, 2026 | 787.13 Mn |
| Dec 31, 2025 | 722.00 Mn |
| Sep 30, 2025 | 834.93 Mn |
| Jun 30, 2025 | 931.93 Mn |
| Mar 31, 2025 | 1.22 Bn |
| Dec 31, 2024 | 1.37 Bn |
| Sep 30, 2024 | 1.28 Bn |
| Jun 30, 2024 | 1.50 Bn |
| Mar 31, 2024 | 1.45 Bn |
| Dec 31, 2023 | 1.45 Bn |
| Sep 30, 2023 | 1.51 Bn |
| Jun 30, 2023 | 1.62 Bn |
| Mar 31, 2023 | 1.62 Bn |
| Dec 31, 2022 | 1.53 Bn |
| Sep 30, 2022 | 1.61 Bn |
| Jun 30, 2022 | 1.65 Bn |
| Mar 31, 2022 | 2.15 Bn |
| Dec 31, 2021 | 2.27 Bn |
| Sep 30, 2021 | 1.72 Bn |
API Access
Vivid Seats Total Liabilities 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=total-liabilities&ticker=SEAT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=SEAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();