Vivid Seats (SEAT) Non-Current Assets (2020 - 2026)
Vivid Seats (SEAT) reported Non-Current Assets of $440.07 million for Q2 2026, down 50.2% from $884.34 million a year earlier and down 1.9% from the prior quarter.
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Analysis
Vivid Seats (SEAT) Non-Current Assets (2020 - 2026) Analysis & Trends
At the end of FY2025, Vivid Seats posted Non-Current Assets of $458.39 million, down 64.5% from FY2024.
- Non-Current Assets has a five-year compound annual growth rate of -9.4% (FY2020 to FY2025).
- By year, Non-Current Assets came in at $1.29 billion in FY2024 (-1.0%), $1.3 billion in FY2023 (+59.1%), $819.92 million in FY2022 (+2.7%) and $798.58 million in FY2021 (+6.3%).
- The Q2 2026 figure ranks as the lowest quarterly Non-Current Assets in data going back to Q4 2020.
- Year over year, Non-Current Assets has now declined in each of the last seven quarters, with an average decline of 26.7% over the last eight quarters.
- The high point for year-over-year Non-Current Assets in five years was Q4 2023 (growth of 59.1%); the low point was Q1 2026 (a decline of 65.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $448.47 million (Q1 2026), $458.39 million (Q4 2025) and $873.17 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 578.46 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 324.48 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 44.60 Bn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | 181.70 Bn |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 6.65 Bn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 53.27 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 6.63 Bn |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | 15.71 Bn |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 2.88 Bn |
| 10 | Vivid Seats | 60.49 Mn | -470.27 Mn | 91.22 Mn | 440.07 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 440.07 Mn |
| Mar 31, 2026 | 448.47 Mn |
| Dec 31, 2025 | 458.39 Mn |
| Sep 30, 2025 | 873.17 Mn |
| Jun 30, 2025 | 884.34 Mn |
| Mar 31, 2025 | 1.29 Bn |
| Dec 31, 2024 | 1.29 Bn |
| Sep 30, 2024 | 1.28 Bn |
| Jun 30, 2024 | 1.28 Bn |
| Mar 31, 2024 | 1.29 Bn |
| Dec 31, 2023 | 1.30 Bn |
| Sep 30, 2023 | 979.57 Mn |
| Jun 30, 2023 | 896.89 Mn |
| Mar 31, 2023 | 819.51 Mn |
| Dec 31, 2022 | 819.92 Mn |
| Sep 30, 2022 | 816.48 Mn |
| Jun 30, 2022 | 810.14 Mn |
| Mar 31, 2022 | 812.32 Mn |
| Dec 31, 2021 | 798.58 Mn |
| Sep 30, 2021 | 756.67 Mn |
API Access
Vivid Seats Non-Current Assets 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=non-current-assets&ticker=SEAT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=SEAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();