Vivid Seats (SEAT) Non-Current Debt (2020 - 2026)
Vivid Seats' Non-Current Debt was $385.77 million in Q2 2026, down 0.8% from $388.95 million a year earlier and down 0.2% from the prior quarter.
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Analysis
Vivid Seats (SEAT) Non-Current Debt (2020 - 2026) Analysis & Trends
At the end of FY2025, Non-Current Debt at Vivid Seats came in at $387.36 million, down 0.4% from FY2024.
- Non-Current Debt shows a five-year compound annual growth rate of -15.1% (FY2020 to FY2025).
- In earlier years, Non-Current Debt was $388.91 million in FY2024 (+44.8%), $268.57 million in FY2023 (+0.3%), $267.65 million in FY2022 (-41.8%) and $460.13 million in FY2021 (-47.6%).
- The Q2 2026 figure marks the lowest quarterly Non-Current Debt since Q1 2024.
- Compared with a year earlier, Non-Current Debt has declined for five straight quarters, with growth averaging 16.6% over the last eight quarters.
- The best year-over-year quarter for Non-Current Debt over five years was Q2 2024 (growth of 46.4%); the worst was Q4 2021 (a decline of 47.6%).
- Per Business Quant data, SEAT's Non-Current Debt in the three quarters before Q2 2026 was $386.56 million (Q1 2026), $387.36 million (Q4 2025) and $388.16 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 98.17 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 83.66 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 11.83 Bn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | 8.25 Bn |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | - |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 10.73 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 18.18 Bn |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | - |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 3.52 Bn |
| 10 | Vivid Seats | 60.49 Mn | -470.27 Mn | 91.22 Mn | 385.77 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 385.77 Mn |
| Mar 31, 2026 | 386.56 Mn |
| Dec 31, 2025 | 387.36 Mn |
| Sep 30, 2025 | 388.16 Mn |
| Jun 30, 2025 | 388.95 Mn |
| Mar 31, 2025 | 389.74 Mn |
| Dec 31, 2024 | 388.91 Mn |
| Sep 30, 2024 | 389.68 Mn |
| Jun 30, 2024 | 390.46 Mn |
| Mar 31, 2024 | 267.59 Mn |
| Dec 31, 2023 | 268.57 Mn |
| Sep 30, 2023 | 269.18 Mn |
| Jun 30, 2023 | 266.62 Mn |
| Mar 31, 2023 | 267.13 Mn |
| Dec 31, 2022 | 267.65 Mn |
| Sep 30, 2022 | 268.16 Mn |
| Jun 30, 2022 | 268.65 Mn |
| Mar 31, 2022 | 269.15 Mn |
| Dec 31, 2021 | 460.13 Mn |
| Dec 31, 2020 | 877.32 Mn |
API Access
Vivid Seats Non-Current Debt 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=non-current-debt&ticker=SEAT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=SEAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();