Universal Display Corp \Pa\ (OLED) Short-term Investments (2010 - 2026)
Universal Display Corp \Pa\'s Short-term Investments came in at $340.02 million for Q3 2026, down 29.4% from $481.37 million a year earlier and down 3.1% from the prior quarter.
Universal Display Corp \Pa\ (OLED) Short-term Investments (2010 - 2026) Analysis & Trends
At the end of FY2025, Universal Display Corp \Pa\'s Short-term Investments was $464 million, up 17.9% from FY2024.
- Short-term Investments carries a five-year compound annual growth rate of 35.9% (FY2020 to FY2025).
- Going back by year, Short-term Investments was $393.69 million in FY2024 (-6.7%), $422.14 million in FY2023 (-12.8%), $484.35 million in FY2022 (+37.9%) and $351.19 million in FY2021 (+251.2%).
- The Q3 2026 figure represents the lowest quarterly Short-term Investments since Q1 2022.
- Year-over-year, Short-term Investments has declined for three consecutive quarters, with an average decline of 7.7% over the last eight quarters.
- The fastest year-over-year change in Short-term Investments over five years came in Q4 2021 (growth of 251.2%), and the weakest in Q3 2026 (a decline of 29.4%).
- Business Quant data shows OLED's Short-term Investments at $350.75 million (Q2 2026), $357.06 million (Q1 2026) and $464 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 4,921.46 Bn | 4,695.62 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,095.29 Bn | 1,720.15 Bn | 27.22 Bn |
| 3 | Broadcom | 1,543.66 Bn | 1,469.70 Bn | 20.46 Bn |
| 4 | Micron Technology | 988.36 Bn | 893.99 Bn | 47.05 Bn |
| 5 | Advanced Micro Devices | 817.26 Bn | 774.00 Bn | 6.20 Bn |
| 6 | Asml Holding | 606.18 Bn | 561.86 Bn | 5.90 Bn |
| 7 | Intel | 330.29 Bn | 330.29 Bn | 7.10 Bn |
| 8 | Applied Materials | 307.60 Bn | 273.04 Bn | 4.59 Bn |
| 9 | Lam Research | 297.52 Bn | 273.57 Bn | 4.30 Bn |
| 10 | Universal Display Corp \Pa\ | 3.80 Bn | 1.78 Bn | 117.36 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 340.02 Mn |
| Jun 30, 2026 | 350.75 Mn |
| Mar 31, 2026 | 357.06 Mn |
| Dec 31, 2025 | 464.00 Mn |
| Sep 30, 2025 | 481.37 Mn |
| Jun 30, 2025 | 429.40 Mn |
| Mar 31, 2025 | 413.81 Mn |
| Dec 31, 2024 | 393.69 Mn |
| Sep 30, 2024 | 471.99 Mn |
| Jun 30, 2024 | 437.67 Mn |
| Mar 31, 2024 | 465.29 Mn |
| Dec 31, 2023 | 422.14 Mn |
| Sep 30, 2023 | 412.35 Mn |
| Jun 30, 2023 | 465.68 Mn |
| Mar 31, 2023 | 487.81 Mn |
| Dec 31, 2022 | 484.35 Mn |
| Sep 30, 2022 | 501.05 Mn |
| Jun 30, 2022 | 439.45 Mn |
| Mar 31, 2022 | 325.06 Mn |
| Dec 31, 2021 | 351.19 Mn |
Universal Display Corp \Pa\ Short-term Investments 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=short-term-investments&ticker=OLED&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-investments", "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=short-term-investments&ticker=OLED&period=max&api_key=YOUR_API_KEY");
const data = await res.json();