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.
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Analysis
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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,505.75 Bn | 3,240.65 Bn | 76.16 Bn | 51.36 Bn |
| 2 | Meta Platforms | 1,636.37 Bn | 1,300.89 Bn | 51.23 Bn | 33.94 Bn |
| 3 | Netflix | 264.79 Bn | 226.09 Bn | 6.80 Bn | 278.77 Mn |
| 4 | Alibaba Group Holding | 244.49 Bn | 58.13 Bn | 15.16 Bn | -9.97 Bn |
| 5 | Shopify | 196.00 Bn | 174.81 Bn | 1.78 Bn | 2.00 Mn |
| 6 | Uber Technologies | 145.16 Bn | 115.98 Bn | 6.42 Bn | 104.00 Mn |
| 7 | AppLovin | 136.87 Bn | 125.40 Bn | 1.94 Bn | - |
| 8 | Spotify Technology | 125.04 Bn | 81.96 Bn | 1.89 Bn | -6.90 Mn |
| 9 | Booking Holdings | 122.68 Bn | 56.42 Bn | - | 68.00 Mn |
| 10 | Vivid Seats | 16.63 Mn | -514.13 Mn | 91.22 Mn | - |
Historic Data
Download Data
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 |
API Access
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_KEYimport 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();