Vivid Seats (SEAT) Capital Expenditures (2021 - 2026)
Vivid Seats (SEAT) recorded Capital Expenditures of $23,000 in Q1 2026, down 98.7% from $1.84 million a year earlier and down 79.3% from the prior quarter.
Vivid Seats (SEAT) Capital Expenditures (2021 - 2026) Analysis & Trends
For FY2025, Vivid Seats reported Capital Expenditures of $2.16 million, down 48.8% from FY2024.
- Annual Capital Expenditures has a five-year compound annual growth rate of 44.7% (FY2020 to FY2025).
- Across earlier years, Capital Expenditures came in at $4.23 million in FY2024 (+372.3%), $895,000 in FY2023 (-74.8%), $3.56 million in FY2022 (+214.3%) and $1.13 million in FY2021 (+232.0%).
- Quarterly Capital Expenditures has ranged from $10,000 in Q3 2025 to $3.46 million in Q4 2024 over the past five years.
- On a year-over-year basis, Capital Expenditures has declined for four consecutive quarters, with an average decline of 38.4% over the last six quarters.
- Peak year-over-year performance for Capital Expenditures in the last five years was growth of 204.1% in Q3 2022, against a decline of 98.7% in Q1 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $111,000 (Q4 2025), $10,000 (Q3 2025) and $207,000 (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,180.92 Bn | 3,938.44 Bn | 73.85 Bn | 44.92 Bn |
| 2 | Meta Platforms | 1,847.76 Bn | 1,550.28 Bn | 49.47 Bn | 30.12 Bn |
| 3 | Netflix | 289.73 Bn | 249.92 Bn | 6.52 Bn | 218.64 Mn |
| 4 | Alibaba Group Holding | 249.81 Bn | 67.68 Bn | 15.11 Bn | - |
| 5 | Shopify | 192.08 Bn | 169.26 Bn | 1.71 Bn | 4.00 Mn |
| 6 | Uber Technologies | 139.76 Bn | 111.74 Bn | 6.38 Bn | 70.00 Mn |
| 7 | Booking Holdings | 122.41 Bn | 55.46 Bn | - | 76.00 Mn |
| 8 | PDD Holdings | 110.94 Bn | -140.99 Bn | 9.45 Bn | - |
| 9 | Spotify Technology | 100.32 Bn | 57.56 Bn | 1.86 Bn | -23.25 Mn |
| 10 | Vivid Seats | 61.77 Mn | -468.99 Mn | 91.22 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 23,000.00 |
| Dec 31, 2025 | 111,000.00 |
| Sep 30, 2025 | 10,000.00 |
| Jun 30, 2025 | 207,000.00 |
| Mar 31, 2025 | 1.84 Mn |
| Dec 31, 2024 | 3.46 Mn |
| Sep 30, 2024 | 389,000.00 |
| Jun 30, 2024 | 286,000.00 |
| Mar 31, 2024 | 92,000.00 |
| Dec 31, 2023 | 110,000.00 |
| Sep 30, 2023 | 179,000.00 |
| Jun 30, 2023 | 391,000.00 |
| Mar 31, 2023 | 215,000.00 |
| Dec 31, 2022 | 831,000.00 |
| Sep 30, 2022 | 1.34 Mn |
| Jun 30, 2022 | 699,000.00 |
| Mar 31, 2022 | 693,000.00 |
| Dec 31, 2021 | 443,000.00 |
| Sep 30, 2021 | 439,000.00 |
| Jun 30, 2021 | 250,000.00 |
Vivid Seats Capital Expenditures 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=capital-expenditures&ticker=SEAT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=SEAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();