Vivid Seats (SEAT) Gross Margin (2020 - 2026)
Vivid Seats (SEAT) recorded Gross Margin of 70.24% in Q2 2026, down 0.20 percentage points from 70.45% a year earlier but up 1.40 percentage points from the prior quarter.
Vivid Seats (SEAT) Gross Margin (2020 - 2026) Analysis & Trends
On a TTM basis, Vivid Seats' Gross Margin came in at 68.33% as of Jun 30, 2026, down 4.23 percentage points year-over-year; for FY2025, it was 69.61%, down 4.36 percentage points from FY2024.
- Annual Gross Margin has declined for three straight years, though with a five-year change of +40.00 percentage points (FY2020 to FY2025).
- Across earlier years, Gross Margin came in at 73.97% in FY2024 (-3.19 pp), 77.17% in FY2023 (-2.43 pp), 79.60% in FY2022 (+0.05 pp) and 79.55% in FY2021 (+49.93 pp).
- Quarterly Gross Margin has ranged from 66.77% in Q4 2025 to 84.88% in Q4 2022 over the past five years.
- On a year-over-year basis, Gross Margin has declined for eight consecutive quarters, with an average year-over-year change of -3.89 percentage points over the last eight quarters.
- Peak year-over-year performance for Gross Margin in the last five years was a gain of 148.50 percentage points in Q4 2021, against a drop of 8.44 percentage points in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at 68.84% (Q1 2026), 66.77% (Q4 2025) and 67.49% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 61.65% |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 81.37% |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 51.93% |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | 38.11% |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 47.67% |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 44.93% |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | - |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | 57.06% |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 88.26% |
| 10 | Vivid Seats | 60.49 Mn | -470.27 Mn | 91.22 Mn | 70.24% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 70.24% |
| Mar 31, 2026 | 68.84% |
| Dec 31, 2025 | 66.77% |
| Sep 30, 2025 | 67.49% |
| Jun 30, 2025 | 70.45% |
| Mar 31, 2025 | 72.85% |
| Dec 31, 2024 | 73.74% |
| Sep 30, 2024 | 72.65% |
| Jun 30, 2024 | 75.41% |
| Mar 31, 2024 | 74.02% |
| Dec 31, 2023 | 81.88% |
| Sep 30, 2023 | 73.18% |
| Jun 30, 2023 | 74.23% |
| Mar 31, 2023 | 76.56% |
| Dec 31, 2022 | 84.88% |
| Sep 30, 2022 | 76.01% |
| Jun 30, 2022 | 78.05% |
| Mar 31, 2022 | 75.40% |
| Dec 31, 2021 | 77.89% |
| Sep 30, 2021 | 78.16% |
Vivid Seats Gross Margin 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=gross-margin&ticker=SEAT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-margin", "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=gross-margin&ticker=SEAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();