Vivid Seats (SEAT) Receivables (2020 - 2026)
Vivid Seats (SEAT) recorded Receivables of $59.11 million in Q2 2026, down 4.6% from $61.98 million a year earlier but up 19.8% from the prior quarter.
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Analysis
Vivid Seats (SEAT) Receivables (2020 - 2026) Analysis & Trends
At the end of FY2025, Vivid Seats reported Receivables of $43.53 million, down 27.8% from FY2024.
- Annual Receivables has a five-year compound annual growth rate of 4.3% (FY2020 to FY2025).
- Across earlier years, Receivables came in at $60.3 million in FY2024 (-19.1%), $74.52 million in FY2023 (+82.8%), $40.76 million in FY2022 (+12.8%) and $36.12 million in FY2021 (+2.5%).
- Quarterly Receivables has ranged from $7.2 million in Q4 2021 to $78.31 million in Q2 2024 over the past five years.
- On a year-over-year basis, Receivables has declined for seven consecutive quarters, with an average decline of 15.8% over the last eight quarters.
- Peak year-over-year performance for Receivables in the last five years was growth of 466.1% in Q4 2022, against a decline of 69.2% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $49.34 million (Q1 2026), $43.53 million (Q4 2025) and $51.24 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 69.18 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 21.75 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | - |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | - |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 466.00 Mn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 4.30 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 4.34 Bn |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | - |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 2.17 Bn |
| 10 | Vivid Seats | 60.49 Mn | -470.27 Mn | 91.22 Mn | 59.11 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 59.11 Mn |
| Mar 31, 2026 | 49.34 Mn |
| Dec 31, 2025 | 43.53 Mn |
| Sep 30, 2025 | 51.24 Mn |
| Jun 30, 2025 | 61.98 Mn |
| Mar 31, 2025 | 69.20 Mn |
| Dec 31, 2024 | 60.30 Mn |
| Sep 30, 2024 | 75.25 Mn |
| Jun 30, 2024 | 78.31 Mn |
| Mar 31, 2024 | 76.58 Mn |
| Dec 31, 2023 | 74.52 Mn |
| Sep 30, 2023 | 64.83 Mn |
| Jun 30, 2023 | 46.30 Mn |
| Mar 31, 2023 | 46.53 Mn |
| Dec 31, 2022 | 40.76 Mn |
| Sep 30, 2022 | 40.49 Mn |
| Jun 30, 2022 | 44.37 Mn |
| Mar 31, 2022 | 53.98 Mn |
| Dec 31, 2021 | 7.20 Mn |
| Sep 30, 2021 | 54.03 Mn |
API Access
Vivid Seats Receivables 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=receivables&ticker=SEAT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=SEAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();