Vivid Seats (SEAT) Return on Capital Employed [ROCE] (2021 - 2026)
Vivid Seats (SEAT) posted Return on Capital Employed [ROCE] of -147.17% for Q2 2026, down 115.26 percentage points from -31.91% a year earlier but up 120.22 percentage points from the prior quarter.
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Analysis
Vivid Seats (SEAT) Return on Capital Employed [ROCE] (2021 - 2026) Analysis & Trends
For FY2025, Vivid Seats' Return on Capital Employed [ROCE] came in at -93.56%, down 97.17 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] shows a four-year change of -103.29 percentage points (FY2021 to FY2025).
- In prior years, Vivid Seats' Return on Capital Employed [ROCE] was 3.62% in FY2024 (-5.81 pp), 9.43% in FY2023 (+0.77 pp), 8.66% in FY2022 (-1.08 pp) and 9.74% in FY2021.
- Quarterly Return on Capital Employed [ROCE] has run from a low of -267.39% in Q1 2026 to a high of 12.90% in Q1 2023 over five years.
- On a year-over-year basis, Return on Capital Employed [ROCE] has declined in each of the last 13 quarters, with an average year-over-year change of -78.49 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Capital Employed [ROCE] in the past five years was Q4 2022, with a gain of 1.53 percentage points; the weakest was Q1 2026, with a drop of 268.82 percentage points.
- According to Business Quant data, Return on Capital Employed [ROCE] for the three prior quarters was -267.39% (Q1 2026), -137.07% (Q4 2025) and -45.64% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,173.87 Bn | 3,931.39 Bn | 73.85 Bn | 21.49% |
| 2 | Meta Platforms | 1,849.67 Bn | 1,552.19 Bn | 49.47 Bn | 23.74% |
| 3 | Netflix | 279.23 Bn | 239.43 Bn | 6.52 Bn | 30.16% |
| 4 | Alibaba Group Holding | 245.86 Bn | 63.73 Bn | 15.11 Bn | 2.77% |
| 5 | Shopify | 196.08 Bn | 173.27 Bn | 1.71 Bn | 14.37% |
| 6 | Uber Technologies | 138.90 Bn | 110.88 Bn | 6.38 Bn | 13.97% |
| 7 | Booking Holdings | 119.48 Bn | 52.53 Bn | - | 121.68% |
| 8 | PDD Holdings | 107.30 Bn | -144.64 Bn | 9.45 Bn | 22.53% |
| 9 | Spotify Technology | 97.33 Bn | 54.56 Bn | 1.86 Bn | 19.81% |
| 10 | Vivid Seats | 56.33 Mn | -474.43 Mn | 91.22 Mn | -147.17% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -147.17% |
| Mar 31, 2026 | -267.39% |
| Dec 31, 2025 | -137.07% |
| Sep 30, 2025 | -45.64% |
| Jun 30, 2025 | -31.91% |
| Mar 31, 2025 | 1.43% |
| Dec 31, 2024 | 3.53% |
| Sep 30, 2024 | 4.05% |
| Jun 30, 2024 | 5.10% |
| Mar 31, 2024 | 6.56% |
| Dec 31, 2023 | 8.30% |
| Sep 30, 2023 | 10.66% |
| Jun 30, 2023 | 11.52% |
| Mar 31, 2023 | 12.90% |
| Dec 31, 2022 | 9.91% |
| Sep 30, 2022 | 12.42% |
| Jun 30, 2022 | 11.95% |
| Mar 31, 2022 | 11.76% |
| Dec 31, 2021 | 8.38% |
API Access
Vivid Seats Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=SEAT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=SEAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();