Vivid Seats (SEAT) Cost of Revenue (2020 - 2026)
Vivid Seats (SEAT) recorded Cost of Revenue of $38.64 million in Q2 2026, down 8.9% from $42.43 million a year earlier and down 1.4% from the prior quarter.
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Analysis
Vivid Seats (SEAT) Cost of Revenue (2020 - 2026) Analysis & Trends
On a TTM basis, Vivid Seats' Cost of Revenue came in at $164.32 million as of Jun 30, 2026, down 13.7% year-over-year; for FY2025, it was $173.44 million, down 14.1% from FY2024.
- Annual Cost of Revenue has a five-year compound annual growth rate of 47.7% (FY2020 to FY2025).
- Across earlier years, Cost of Revenue came in at $201.85 million in FY2024 (+10.8%), $182.18 million in FY2023 (+29.7%), $140.51 million in FY2022 (+55.1%) and $90.62 million in FY2021 (+267.0%).
- The Q2 2026 figure is the lowest quarterly Cost of Revenue since Q1 2023.
- On a year-over-year basis, Cost of Revenue has declined for six consecutive quarters, with an average decline of 9.2% over the last eight quarters.
- Peak year-over-year performance for Cost of Revenue in the last five years was growth of 719.5% in Q1 2022, against a decline of 19.7% in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $39.2 million (Q1 2026), $42.14 million (Q4 2025) and $44.34 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,173.87 Bn | 3,931.39 Bn | 73.85 Bn | 45.94 Bn |
| 2 | Meta Platforms | 1,849.67 Bn | 1,552.19 Bn | 49.47 Bn | 11.33 Bn |
| 3 | Netflix | 279.23 Bn | 239.43 Bn | 6.52 Bn | 6.04 Bn |
| 4 | Alibaba Group Holding | 245.86 Bn | 63.73 Bn | 15.11 Bn | 24.48 Bn |
| 5 | Shopify | 196.08 Bn | 173.27 Bn | 1.71 Bn | 1.88 Bn |
| 6 | Uber Technologies | 138.90 Bn | 110.88 Bn | 6.38 Bn | 7.82 Bn |
| 7 | Booking Holdings | 119.48 Bn | 52.53 Bn | - | - |
| 8 | PDD Holdings | 107.30 Bn | -144.64 Bn | 9.45 Bn | 7.08 Bn |
| 9 | Spotify Technology | 97.33 Bn | 54.56 Bn | 1.86 Bn | 3.70 Bn |
| 10 | Vivid Seats | 56.33 Mn | -474.43 Mn | 91.22 Mn | 38.64 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 38.64 Mn |
| Mar 31, 2026 | 39.20 Mn |
| Dec 31, 2025 | 42.14 Mn |
| Sep 30, 2025 | 44.34 Mn |
| Jun 30, 2025 | 42.43 Mn |
| Mar 31, 2025 | 44.53 Mn |
| Dec 31, 2024 | 52.48 Mn |
| Sep 30, 2024 | 51.03 Mn |
| Jun 30, 2024 | 48.77 Mn |
| Mar 31, 2024 | 49.58 Mn |
| Dec 31, 2023 | 51.35 Mn |
| Sep 30, 2023 | 50.46 Mn |
| Jun 30, 2023 | 42.62 Mn |
| Mar 31, 2023 | 37.76 Mn |
| Dec 31, 2022 | 38.31 Mn |
| Sep 30, 2022 | 37.62 Mn |
| Jun 30, 2022 | 32.42 Mn |
| Mar 31, 2022 | 32.16 Mn |
| Dec 31, 2021 | 36.23 Mn |
| Sep 30, 2021 | 30.48 Mn |
API Access
Vivid Seats Cost of Revenue 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=cost-of-revenue&ticker=SEAT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=SEAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();