Universal Display Corp \Pa\ (OLED) Retained Earnings (2010 - 2026)
Universal Display Corp \Pa\ (OLED) recorded Retained Earnings of $1.13 billion in Q2 2026, up 10.3% from $1.02 billion a year earlier and up 2.4% from the prior quarter.
Universal Display Corp \Pa\ (OLED) Retained Earnings (2010 - 2026) Analysis & Trends
At the end of FY2025, Universal Display Corp \Pa\ reported Retained Earnings of $1.09 billion, up 16.7% from FY2024.
- Annual Retained Earnings has increased for eight straight years, with a five-year compound annual growth rate of 25.2% (FY2020 to FY2025).
- Across earlier years, Retained Earnings came in at $934.66 million in FY2024 (+18.4%), $789.55 million in FY2023 (+20.9%), $653.28 million in FY2022 (+30.6%) and $500.21 million in FY2021 (+41.3%).
- The Q2 2026 figure is the highest quarterly Retained Earnings in data going back to Q4 2010.
- On a year-over-year basis, Retained Earnings has increased for 34 consecutive quarters, with growth averaging 16.6% over the last eight quarters.
- Across the past five years, year-over-year growth in Retained Earnings ran from 10.3% in Q2 2026 to 51.0% in Q3 2021.
- Per Business Quant, the preceding three quarters came in at $1.1 billion (Q1 2026), $1.09 billion (Q4 2025) and $1.05 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,276.08 Bn | 5,050.24 Bn | 72.14 Bn | 219.16 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,267.33 Bn | 1,892.19 Bn | 27.22 Bn | 294.22 Bn |
| 3 | Broadcom | 1,632.21 Bn | 1,558.26 Bn | 20.46 Bn | 22.15 Bn |
| 4 | Micron Technology | 1,047.49 Bn | 953.13 Bn | 47.05 Bn | 131.85 Bn |
| 5 | Advanced Micro Devices | 914.36 Bn | 871.11 Bn | 6.20 Bn | 5.91 Bn |
| 6 | Asml Holding | 635.50 Bn | 591.18 Bn | 5.90 Bn | 20.66 Bn |
| 7 | Intel | 478.83 Bn | 347.96 Bn | 6.51 Bn | 33.84 Bn |
| 8 | Applied Materials | 314.54 Bn | 279.99 Bn | 4.59 Bn | 61.39 Bn |
| 9 | Lam Research | 301.55 Bn | 277.60 Bn | 4.30 Bn | 37.29 Bn |
| 10 | Universal Display Corp \Pa\ | 4.22 Bn | 2.02 Bn | 115.37 Mn | 1.13 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.13 Bn |
| Mar 31, 2026 | 1.10 Bn |
| Dec 31, 2025 | 1.09 Bn |
| Sep 30, 2025 | 1.05 Bn |
| Jun 30, 2025 | 1.02 Bn |
| Mar 31, 2025 | 977.56 Mn |
| Dec 31, 2024 | 934.66 Mn |
| Sep 30, 2024 | 907.78 Mn |
| Jun 30, 2024 | 860.06 Mn |
| Mar 31, 2024 | 826.88 Mn |
| Dec 31, 2023 | 789.55 Mn |
| Sep 30, 2023 | 744.23 Mn |
| Jun 30, 2023 | 709.37 Mn |
| Mar 31, 2023 | 676.35 Mn |
| Dec 31, 2022 | 653.28 Mn |
| Sep 30, 2022 | 602.40 Mn |
| Jun 30, 2022 | 563.19 Mn |
| Mar 31, 2022 | 535.94 Mn |
| Dec 31, 2021 | 500.21 Mn |
| Sep 30, 2021 | 463.82 Mn |
Universal Display Corp \Pa\ Retained Earnings 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=retained-earnings&ticker=OLED&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=OLED&period=max&api_key=YOUR_API_KEY");
const data = await res.json();