Universal Display Corp \Pa\ (OLED) Capital Expenditures (2010 - 2026)
Universal Display Corp \Pa\'s Capital Expenditures came in at $4.63 million for Q2 2026, down 68.0% from $14.48 million a year earlier and down 46.2% from the prior quarter.
Universal Display Corp \Pa\ (OLED) Capital Expenditures (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Universal Display Corp \Pa\ reported Capital Expenditures of $42.17 million, down 21.7% year-over-year; for FY2025, it was $56.47 million, up 32.4% from FY2024.
- Capital Expenditures carries a five-year compound annual growth rate of 15.1% (FY2020 to FY2025).
- Going back by year, Capital Expenditures was $42.64 million in FY2024 (-28.7%), $59.79 million in FY2023 (+40.7%), $42.5 million in FY2022 (-1.5%) and $43.16 million in FY2021 (+54.2%).
- The Q2 2026 figure represents the lowest quarterly Capital Expenditures since Q4 2018.
- Year-over-year, Capital Expenditures increased in four of the last eight quarters, with growth averaging 10.1%.
- The fastest year-over-year change in Capital Expenditures over five years came in Q3 2023 (growth of 154.9%), and the weakest in Q2 2026 (a decline of 68.0%).
- Business Quant data shows OLED's Capital Expenditures at $8.61 million (Q1 2026), $16.09 million (Q4 2025) and $12.85 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,503.96 Bn | 5,278.12 Bn | 72.14 Bn | 2.68 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,366.45 Bn | 1,992.15 Bn | 27.22 Bn | - |
| 3 | Broadcom | 1,676.58 Bn | 1,602.63 Bn | 20.46 Bn | 532.00 Mn |
| 4 | Micron Technology | 1,202.51 Bn | 1,141.27 Bn | 35.06 Bn | 7.83 Bn |
| 5 | Advanced Micro Devices | 998.39 Bn | 955.14 Bn | 6.20 Bn | 808.00 Mn |
| 6 | Asml Holding | 698.25 Bn | 654.08 Bn | 5.90 Bn | - |
| 7 | Intel | 606.32 Bn | 491.05 Bn | 6.51 Bn | 2.56 Bn |
| 8 | Lam Research | 411.06 Bn | 387.85 Bn | 3.48 Bn | 188.80 Mn |
| 9 | Applied Materials | 405.83 Bn | 371.27 Bn | 4.59 Bn | 707.00 Mn |
| 10 | Universal Display Corp \Pa\ | 3.56 Bn | 1.37 Bn | 115.37 Mn | 4.63 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.63 Mn |
| Mar 31, 2026 | 8.61 Mn |
| Dec 31, 2025 | 16.09 Mn |
| Sep 30, 2025 | 12.85 Mn |
| Jun 30, 2025 | 14.48 Mn |
| Mar 31, 2025 | 13.06 Mn |
| Dec 31, 2024 | 12.68 Mn |
| Sep 30, 2024 | 13.63 Mn |
| Jun 30, 2024 | 9.13 Mn |
| Mar 31, 2024 | 7.21 Mn |
| Dec 31, 2023 | 7.58 Mn |
| Sep 30, 2023 | 24.93 Mn |
| Jun 30, 2023 | 18.18 Mn |
| Mar 31, 2023 | 9.10 Mn |
| Dec 31, 2022 | 11.38 Mn |
| Sep 30, 2022 | 9.78 Mn |
| Jun 30, 2022 | 10.59 Mn |
| Mar 31, 2022 | 10.75 Mn |
| Dec 31, 2021 | 13.67 Mn |
| Sep 30, 2021 | 8.83 Mn |
Universal Display Corp \Pa\ Capital Expenditures 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=capital-expenditures&ticker=OLED&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=OLED&period=max&api_key=YOUR_API_KEY");
const data = await res.json();