Vivid Seats (SEAT) Other Non-Current Liabilities (2020 - 2026)
Vivid Seats' Other Non-Current Liabilities came in at $18.2 million for Q2 2026, down 44.1% from $32.56 million a year earlier but up 3.8% from the prior quarter.
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Analysis
Vivid Seats (SEAT) Other Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Vivid Seats' Other Non-Current Liabilities was $18.83 million, down 87.9% from FY2024.
- Other Non-Current Liabilities carries a five-year compound annual growth rate of 105.8% (FY2020 to FY2025).
- Going back by year, Other Non-Current Liabilities was $155.72 million in FY2024 (-6.0%), $165.7 million in FY2023, $13.45 million in FY2022 (-48.0%) and $25.83 million in FY2021.
- The five-year range for quarterly Other Non-Current Liabilities is $602,000 (Q3 2021) to $165.7 million (Q4 2023).
- Year-over-year, Other Non-Current Liabilities has declined for seven consecutive quarters, with an average decline of 41.9% over the last eight quarters.
- The fastest year-over-year change in Other Non-Current Liabilities over five years came in Q3 2023 (growth of 513.5%), and the weakest in Q1 2026 (a decline of 88.3%).
- Business Quant data shows SEAT's Other Non-Current Liabilities at $17.54 million (Q1 2026), $18.83 million (Q4 2025) and $21.89 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.20 Mn |
| Mar 31, 2026 | 17.54 Mn |
| Dec 31, 2025 | 18.83 Mn |
| Sep 30, 2025 | 21.89 Mn |
| Jun 30, 2025 | 32.56 Mn |
| Mar 31, 2025 | 149.97 Mn |
| Dec 31, 2024 | 155.72 Mn |
| Sep 30, 2024 | 162.23 Mn |
| Jun 30, 2024 | 162.23 Mn |
| Mar 31, 2024 | 160.21 Mn |
| Dec 31, 2023 | 165.70 Mn |
| Sep 30, 2023 | 98.98 Mn |
| Jun 30, 2023 | 98.98 Mn |
| Mar 31, 2023 | 13.12 Mn |
| Dec 31, 2022 | 13.45 Mn |
| Sep 30, 2022 | 16.13 Mn |
| Jun 30, 2022 | 17.41 Mn |
| Mar 31, 2022 | 27.38 Mn |
| Dec 31, 2021 | 25.83 Mn |
| Sep 30, 2021 | 602,000.00 |
API Access
Vivid Seats Other Non-Current 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=other-non-current-liabilities&ticker=SEAT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-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=other-non-current-liabilities&ticker=SEAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();