Universal Display Corp \Pa\ (OLED) Total Liabilities (2010 - 2026)
Universal Display Corp \Pa\'s Total Liabilities came in at $203.77 million for Q2 2026, down 6.1% from $217.09 million a year earlier but up 6.8% from the prior quarter.
Universal Display Corp \Pa\ (OLED) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Universal Display Corp \Pa\'s Total Liabilities was $202.74 million, down 6.1% from FY2024.
- Total Liabilities has declined in each of the last four years, with a five-year compound annual growth rate of -10.7% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $215.81 million in FY2024 (-2.7%), $221.74 million in FY2023 (-13.9%), $257.45 million in FY2022 (-29.9%) and $367.01 million in FY2021 (+2.9%).
- The five-year range for quarterly Total Liabilities is $190.74 million (Q1 2026) to $392.27 million (Q3 2021).
- Year-over-year, Total Liabilities has declined for five consecutive quarters, with an average decline of 6.0% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q2 2024 (growth of 23.6%), and the weakest in Q2 2023 (a decline of 39.5%).
- Business Quant data shows OLED's Total Liabilities at $190.74 million (Q1 2026), $202.74 million (Q4 2025) and $202.65 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,263.99 Bn | 5,038.15 Bn | 72.14 Bn | 91.29 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,250.16 Bn | 1,875.02 Bn | 27.22 Bn | 92.36 Bn |
| 3 | Broadcom | 1,620.15 Bn | 1,546.20 Bn | 20.46 Bn | 88.46 Bn |
| 4 | Micron Technology | 1,044.75 Bn | 950.39 Bn | 47.05 Bn | 57.51 Bn |
| 5 | Advanced Micro Devices | 902.12 Bn | 858.87 Bn | 6.20 Bn | 17.24 Bn |
| 6 | Asml Holding | 630.19 Bn | 585.88 Bn | 5.90 Bn | 36.36 Bn |
| 7 | Intel | 475.23 Bn | 344.37 Bn | 6.51 Bn | 99.30 Bn |
| 8 | Applied Materials | 310.03 Bn | 275.47 Bn | 4.59 Bn | 17.90 Bn |
| 9 | Lam Research | 297.07 Bn | 273.12 Bn | 4.30 Bn | 12.44 Bn |
| 10 | Universal Display Corp \Pa\ | 4.09 Bn | 1.90 Bn | 115.37 Mn | 203.77 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 203.77 Mn |
| Mar 31, 2026 | 190.74 Mn |
| Dec 31, 2025 | 202.74 Mn |
| Sep 30, 2025 | 202.65 Mn |
| Jun 30, 2025 | 217.09 Mn |
| Mar 31, 2025 | 205.16 Mn |
| Dec 31, 2024 | 215.81 Mn |
| Sep 30, 2024 | 224.13 Mn |
| Jun 30, 2024 | 249.72 Mn |
| Mar 31, 2024 | 198.82 Mn |
| Dec 31, 2023 | 221.74 Mn |
| Sep 30, 2023 | 240.55 Mn |
| Jun 30, 2023 | 202.09 Mn |
| Mar 31, 2023 | 236.25 Mn |
| Dec 31, 2022 | 257.45 Mn |
| Sep 30, 2022 | 318.50 Mn |
| Jun 30, 2022 | 334.13 Mn |
| Mar 31, 2022 | 355.93 Mn |
| Dec 31, 2021 | 367.01 Mn |
| Sep 30, 2021 | 392.27 Mn |
Universal Display Corp \Pa\ Total Liabilities 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=total-liabilities&ticker=OLED&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "OLED", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=total-liabilities&ticker=OLED&period=max&api_key=YOUR_API_KEY");
const data = await res.json();