Universal Display Corp \Pa\ (OLED) Cash & Equivalents (2010 - 2026)
Universal Display Corp \Pa\ (OLED) posted Cash & Equivalents of $93.45 million for Q3 2026, down 23.2% from $121.61 million a year earlier and down 22.5% from the prior quarter.
Universal Display Corp \Pa\ (OLED) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Universal Display Corp \Pa\'s Cash & Equivalents came in at $138.35 million, up 39.8% from FY2024.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of -26.2% (FY2020 to FY2025).
- In prior years, Universal Display Corp \Pa\'s Cash & Equivalents was $98.98 million in FY2024 (+7.6%), $91.99 million in FY2023 (-1.5%), $93.43 million in FY2022 (-70.1%) and $311.99 million in FY2021 (-50.5%).
- The Q3 2026 figure stands as the lowest quarterly Cash & Equivalents since Q3 2024.
- On a year-over-year basis, Cash & Equivalents increased in seven of the last eight quarters, with growth averaging 27.5%.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q1 2025, with growth of 112.8%; the weakest was Q4 2022, with a decline of 70.1%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $120.56 million (Q2 2026), $159.35 million (Q1 2026) and $138.35 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 4,921.46 Bn | 4,695.62 Bn | 72.14 Bn | 22.44 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,095.29 Bn | 1,720.15 Bn | 27.22 Bn | 98.36 Bn |
| 3 | Broadcom | 1,543.66 Bn | 1,469.70 Bn | 20.46 Bn | 23.98 Bn |
| 4 | Micron Technology | 988.36 Bn | 893.99 Bn | 47.05 Bn | 38.36 Bn |
| 5 | Advanced Micro Devices | 817.26 Bn | 774.00 Bn | 6.20 Bn | 5.09 Bn |
| 6 | Asml Holding | 606.18 Bn | 561.86 Bn | 5.90 Bn | 15.17 Bn |
| 7 | Intel | 330.29 Bn | 330.29 Bn | 7.10 Bn | 21.85 Bn |
| 8 | Applied Materials | 307.60 Bn | 273.04 Bn | 4.59 Bn | 7.04 Bn |
| 9 | Lam Research | 297.52 Bn | 273.57 Bn | 4.30 Bn | 7.44 Bn |
| 10 | Universal Display Corp \Pa\ | 3.80 Bn | 1.78 Bn | 117.36 Mn | 93.45 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 93.45 Mn |
| Jun 30, 2026 | 120.56 Mn |
| Mar 31, 2026 | 159.35 Mn |
| Dec 31, 2025 | 138.35 Mn |
| Sep 30, 2025 | 121.61 Mn |
| Jun 30, 2025 | 95.80 Mn |
| Mar 31, 2025 | 157.47 Mn |
| Dec 31, 2024 | 98.98 Mn |
| Sep 30, 2024 | 79.56 Mn |
| Jun 30, 2024 | 92.86 Mn |
| Mar 31, 2024 | 74.01 Mn |
| Dec 31, 2023 | 91.99 Mn |
| Sep 30, 2023 | 79.32 Mn |
| Jun 30, 2023 | 93.47 Mn |
| Mar 31, 2023 | 158.29 Mn |
| Dec 31, 2022 | 93.43 Mn |
| Sep 30, 2022 | 187.75 Mn |
| Jun 30, 2022 | 213.90 Mn |
| Mar 31, 2022 | 357.42 Mn |
| Dec 31, 2021 | 311.99 Mn |
Universal Display Corp \Pa\ Cash & Equivalents 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=cash-and-equivalents&ticker=OLED&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=OLED&period=max&api_key=YOUR_API_KEY");
const data = await res.json();