Universal Display Corp \Pa\ (OLED) Selling, General & Administrative (2010 - 2026)
Analysis
Universal Display Corp \Pa\ (OLED) Selling, General & Administrative (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 4,921.46 Bn | 4,695.62 Bn | 72.14 Bn | 1.35 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,095.29 Bn | 1,720.15 Bn | 27.22 Bn | 676.02 Mn |
| 3 | Broadcom | 1,543.66 Bn | 1,469.70 Bn | 20.46 Bn | 996.00 Mn |
| 4 | Micron Technology | 988.36 Bn | 893.99 Bn | 47.05 Bn | 859.00 Mn |
| 5 | Advanced Micro Devices | 817.26 Bn | 774.00 Bn | 6.20 Bn | 1.40 Bn |
| 6 | Asml Holding | 606.18 Bn | 561.86 Bn | 5.90 Bn | - |
| 7 | Intel | 330.29 Bn | 330.29 Bn | 7.10 Bn | 1.03 Bn |
| 8 | Applied Materials | 307.60 Bn | 273.04 Bn | 4.59 Bn | 162.00 Mn |
| 9 | Lam Research | 297.52 Bn | 273.57 Bn | 4.30 Bn | 348.73 Mn |
| 10 | Universal Display Corp \Pa\ | 3.80 Bn | 1.78 Bn | 117.36 Mn | 20.89 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 20.89 Mn |
| Jun 30, 2026 | 18.57 Mn |
| Mar 31, 2026 | 20.03 Mn |
| Dec 31, 2025 | 18.83 Mn |
| Sep 30, 2025 | 18.04 Mn |
| Jun 30, 2025 | 20.44 Mn |
| Mar 31, 2025 | 17.01 Mn |
| Dec 31, 2024 | 19.53 Mn |
| Sep 30, 2024 | 15.66 Mn |
| Jun 30, 2024 | 19.84 Mn |
| Mar 31, 2024 | 19.25 Mn |
| Dec 31, 2023 | 16.83 Mn |
| Sep 30, 2023 | 18.08 Mn |
| Jun 30, 2023 | 17.08 Mn |
| Mar 31, 2023 | 15.40 Mn |
| Dec 31, 2022 | 18.51 Mn |
| Sep 30, 2022 | 18.44 Mn |
| Jun 30, 2022 | 19.87 Mn |
| Mar 31, 2022 | 21.06 Mn |
| Dec 31, 2021 | 22.77 Mn |
API Access
Universal Display Corp \Pa\ Selling, General & Administrative 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=selling-general-and-administrative&ticker=OLED&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=OLED&period=max&api_key=YOUR_API_KEY");
const data = await res.json();