Vivid Seats (SEAT) Property, Plant & Equipment (Net) (2020 - 2026)
Vivid Seats' Property, Plant & Equipment (Net) was $11.27 million in Q2 2026, down 15.9% from $13.4 million a year earlier and down 4.7% from the prior quarter.
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Analysis
Vivid Seats (SEAT) Property, Plant & Equipment (Net) (2020 - 2026) Analysis & Trends
At the end of FY2025, Property, Plant & Equipment (Net) at Vivid Seats came in at $12.37 million, down 1.5% from FY2024.
- Property, Plant & Equipment (Net) shows a four-year compound annual growth rate of 83.9% (FY2021 to FY2025).
- In earlier years, Property, Plant & Equipment (Net) was $12.57 million in FY2024 (+23.7%), $10.16 million in FY2023 (-2.6%), $10.43 million in FY2022 (+864.0%) and $1.08 million in FY2021.
- The Q2 2026 figure marks the lowest quarterly Property, Plant & Equipment (Net) since Q3 2024.
- Compared with a year earlier, Property, Plant & Equipment (Net) has declined for three straight quarters, with growth averaging 12.3% over the last eight quarters.
- The best year-over-year quarter for Property, Plant & Equipment (Net) over five years was Q4 2022 (growth of 864.0%); the worst was Q3 2021 (a decline of 81.9%).
- Per Business Quant data, SEAT's Property, Plant & Equipment (Net) in the three quarters before Q2 2026 was $11.82 million (Q1 2026), $12.37 million (Q4 2025) and $12.81 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,173.87 Bn | 3,931.39 Bn | 73.85 Bn | 321.21 Bn |
| 2 | Meta Platforms | 1,849.67 Bn | 1,552.19 Bn | 49.47 Bn | 225.72 Bn |
| 3 | Netflix | 279.23 Bn | 239.43 Bn | 6.52 Bn | 2.40 Bn |
| 4 | Alibaba Group Holding | 245.86 Bn | 63.73 Bn | 15.11 Bn | 46.06 Bn |
| 5 | Shopify | 196.08 Bn | 173.27 Bn | 1.71 Bn | 53.00 Mn |
| 6 | Uber Technologies | 138.90 Bn | 110.88 Bn | 6.38 Bn | 1.81 Bn |
| 7 | Booking Holdings | 119.48 Bn | 52.53 Bn | - | 767.00 Mn |
| 8 | PDD Holdings | 107.30 Bn | -144.64 Bn | 9.45 Bn | 700.00 Mn |
| 9 | Spotify Technology | 97.33 Bn | 54.56 Bn | 1.86 Bn | 224.34 Mn |
| 10 | Vivid Seats | 56.33 Mn | -474.43 Mn | 91.22 Mn | 11.27 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.27 Mn |
| Mar 31, 2026 | 11.82 Mn |
| Dec 31, 2025 | 12.37 Mn |
| Sep 30, 2025 | 12.81 Mn |
| Jun 30, 2025 | 13.40 Mn |
| Mar 31, 2025 | 13.82 Mn |
| Dec 31, 2024 | 12.57 Mn |
| Sep 30, 2024 | 9.59 Mn |
| Jun 30, 2024 | 9.66 Mn |
| Mar 31, 2024 | 9.83 Mn |
| Dec 31, 2023 | 10.16 Mn |
| Sep 30, 2023 | 10.24 Mn |
| Jun 30, 2023 | 10.36 Mn |
| Mar 31, 2023 | 10.31 Mn |
| Dec 31, 2022 | 10.43 Mn |
| Sep 30, 2022 | 8.84 Mn |
| Jun 30, 2022 | 3.29 Mn |
| Mar 31, 2022 | 1.71 Mn |
| Dec 31, 2021 | 1.08 Mn |
| Sep 30, 2021 | 664,000.00 |
API Access
Vivid Seats Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=SEAT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=SEAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();