Vivid Seats (SEAT) Return on Sales [ROS] (2020 - 2026)
Vivid Seats' Return on Sales [ROS] came in at -4.96% for Q2 2026, up 226.10 percentage points from -231.06% a year earlier and up 2.03 percentage points from the prior quarter.
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Analysis
Vivid Seats (SEAT) Return on Sales [ROS] (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Vivid Seats reported Return on Sales [ROS] of -88.41%, down 41.96 percentage points year-over-year; for FY2025, it was -136.57%, down 142.02 percentage points from FY2024.
- Return on Sales [ROS] has declined in each of the last four years, though with a five-year change of +1904.70 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 5.44% in FY2024 (-4.75 pp), 10.19% in FY2023 (-1.15 pp), 11.34% in FY2022 (-5.94 pp) and 17.28% in FY2021 (+2058.56 pp).
- The Q2 2026 figure represents the highest quarterly Return on Sales [ROS] since Q1 2025.
- Year-over-year, Return on Sales [ROS] increased in 1 of the last eight quarters, with an average year-over-year change of -48.68 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q4 2021 (a gain of 1242.92 percentage points), and the weakest in Q4 2025 (a drop of 333.14 percentage points).
- Business Quant data shows SEAT's Return on Sales [ROS] at -6.99% (Q1 2026), -331.69% (Q4 2025) and -16.75% (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,173.87 Bn | 3,931.39 Bn | 73.85 Bn | 34.03% |
| 2 | Meta Platforms | 1,849.67 Bn | 1,552.19 Bn | 49.47 Bn | 30.88% |
| 3 | Netflix | 279.23 Bn | 239.43 Bn | 6.52 Bn | 33.38% |
| 4 | Alibaba Group Holding | 245.86 Bn | 63.73 Bn | 15.11 Bn | 5.62% |
| 5 | Shopify | 196.08 Bn | 173.27 Bn | 1.71 Bn | 13.62% |
| 6 | Uber Technologies | 138.90 Bn | 110.88 Bn | 6.38 Bn | 13.32% |
| 7 | Booking Holdings | 119.48 Bn | 52.53 Bn | - | 34.00% |
| 8 | PDD Holdings | 107.30 Bn | -144.64 Bn | 9.45 Bn | 24.62% |
| 9 | Spotify Technology | 97.33 Bn | 54.56 Bn | 1.86 Bn | 13.71% |
| 10 | Vivid Seats | 56.33 Mn | -474.43 Mn | 91.22 Mn | -4.96% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -4.96% |
| Mar 31, 2026 | -6.99% |
| Dec 31, 2025 | -331.69% |
| Sep 30, 2025 | -16.75% |
| Jun 30, 2025 | -231.06% |
| Mar 31, 2025 | -2.63% |
| Dec 31, 2024 | 1.45% |
| Sep 30, 2024 | 5.77% |
| Jun 30, 2024 | 3.97% |
| Mar 31, 2024 | 10.83% |
| Dec 31, 2023 | 3.56% |
| Sep 30, 2023 | 10.69% |
| Jun 30, 2023 | 10.65% |
| Mar 31, 2023 | 20.81% |
| Dec 31, 2022 | 9.77% |
| Sep 30, 2022 | 13.84% |
| Jun 30, 2022 | 12.14% |
| Mar 31, 2022 | 10.49% |
| Dec 31, 2021 | 27.79% |
| Sep 30, 2021 | 11.09% |
API Access
Vivid Seats Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=SEAT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=SEAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();