Universal Display Corp \Pa\ (OLED) Return on Sales [ROS] (2010 - 2026)
Universal Display Corp \Pa\ (OLED) recorded Return on Sales [ROS] of 35.26% in Q2 2026, down 4.64 percentage points from 39.90% a year earlier but up 5.20 percentage points from the prior quarter.
Universal Display Corp \Pa\ (OLED) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a TTM basis, Universal Display Corp \Pa\'s Return on Sales [ROS] came in at 34.07% as of Jun 30, 2026, down 4.86 percentage points year-over-year; for FY2025, it came in at 38.21%, up 1.34 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of +1.48 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at 36.87% in FY2024 (-0.81 pp), 37.68% in FY2023 (-5.64 pp), 43.32% in FY2022 (+2.19 pp) and 41.13% in FY2021 (+4.40 pp).
- Quarterly Return on Sales [ROS] has ranged from 30.06% in Q1 2026 to 49.15% in Q4 2022 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] rose in four of the last eight quarters, with an average year-over-year change of -1.72 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 10.54 percentage points in Q4 2022, against a drop of 11.83 percentage points in Q1 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at 30.06% (Q1 2026), 38.88% (Q4 2025) and 30.90% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,503.96 Bn | 5,278.12 Bn | 72.14 Bn | 66.24% |
| 2 | Taiwan Semiconductor Manufacturing | 2,366.45 Bn | 1,992.15 Bn | 27.22 Bn | 60.34% |
| 3 | Broadcom | 1,676.58 Bn | 1,602.63 Bn | 20.46 Bn | 53.92% |
| 4 | Micron Technology | 1,202.51 Bn | 1,141.27 Bn | 35.06 Bn | 80.37% |
| 5 | Advanced Micro Devices | 998.39 Bn | 955.14 Bn | 6.20 Bn | 17.25% |
| 6 | Asml Holding | 698.25 Bn | 654.08 Bn | 5.90 Bn | - |
| 7 | Intel | 606.32 Bn | 491.05 Bn | 6.51 Bn | 11.14% |
| 8 | Lam Research | 411.06 Bn | 387.85 Bn | 3.48 Bn | 37.39% |
| 9 | Applied Materials | 405.83 Bn | 371.27 Bn | 4.59 Bn | 33.74% |
| 10 | Universal Display Corp \Pa\ | 3.56 Bn | 1.37 Bn | 115.37 Mn | 35.26% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 35.26% |
| Mar 31, 2026 | 30.06% |
| Dec 31, 2025 | 38.88% |
| Sep 30, 2025 | 30.90% |
| Jun 30, 2025 | 39.90% |
| Mar 31, 2025 | 41.90% |
| Dec 31, 2024 | 32.34% |
| Sep 30, 2024 | 41.46% |
| Jun 30, 2024 | 35.61% |
| Mar 31, 2024 | 38.04% |
| Dec 31, 2023 | 40.90% |
| Sep 30, 2023 | 34.33% |
| Jun 30, 2023 | 40.01% |
| Mar 31, 2023 | 34.77% |
| Dec 31, 2022 | 49.15% |
| Sep 30, 2022 | 42.64% |
| Jun 30, 2022 | 39.04% |
| Mar 31, 2022 | 41.37% |
| Dec 31, 2021 | 38.61% |
| Sep 30, 2021 | 40.20% |
Universal Display Corp \Pa\ Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=OLED&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=OLED&period=max&api_key=YOUR_API_KEY");
const data = await res.json();