Universal Display Corp \Pa\ (OLED) Receivables (2010 - 2026)
Universal Display Corp \Pa\ (OLED) reported Receivables of $209.05 million for Q2 2026, down 6.6% from $223.71 million a year earlier but up 29.2% from the prior quarter.
Universal Display Corp \Pa\ (OLED) Receivables (2010 - 2026) Analysis & Trends
At the end of FY2025, Universal Display Corp \Pa\ posted Receivables of $191.3 million, up 7.2% from FY2024.
- Receivables has a five-year compound annual growth rate of 15.6% (FY2020 to FY2025).
- By year, Receivables came in at $178.52 million in FY2024 (-1.9%), $181.98 million in FY2023 (+38.8%), $131.12 million in FY2022 (+13.3%) and $115.77 million in FY2021 (+24.9%).
- Five-year quarterly Receivables spans a low of $87.33 million in Q2 2022 and a high of $223.71 million in Q2 2025.
- Year over year, Receivables gained in four of the last eight quarters, with growth averaging 2.6%.
- The high point for year-over-year Receivables in five years was Q3 2023 (growth of 77.5%); the low point was Q2 2022 (a decline of 32.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $161.82 million (Q1 2026), $191.3 million (Q4 2025) and $159.57 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,263.99 Bn | 5,038.15 Bn | 72.14 Bn | 63.30 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,250.16 Bn | 1,875.02 Bn | 27.22 Bn | 13.84 Bn |
| 3 | Broadcom | 1,620.15 Bn | 1,546.20 Bn | 20.46 Bn | 20.89 Bn |
| 4 | Micron Technology | 1,044.75 Bn | 950.39 Bn | 47.05 Bn | 36.65 Bn |
| 5 | Advanced Micro Devices | 902.12 Bn | 858.87 Bn | 6.20 Bn | 7.28 Bn |
| 6 | Asml Holding | 630.19 Bn | 585.88 Bn | 5.90 Bn | 4.07 Bn |
| 7 | Intel | 475.23 Bn | 344.37 Bn | 6.51 Bn | 4.03 Bn |
| 8 | Applied Materials | 310.03 Bn | 275.47 Bn | 4.59 Bn | 7.69 Bn |
| 9 | Lam Research | 297.07 Bn | 273.12 Bn | 4.30 Bn | 5.66 Bn |
| 10 | Universal Display Corp \Pa\ | 4.09 Bn | 1.90 Bn | 115.37 Mn | 209.05 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 209.05 Mn |
| Mar 31, 2026 | 161.82 Mn |
| Dec 31, 2025 | 191.30 Mn |
| Sep 30, 2025 | 159.57 Mn |
| Jun 30, 2025 | 223.71 Mn |
| Mar 31, 2025 | 206.62 Mn |
| Dec 31, 2024 | 178.52 Mn |
| Sep 30, 2024 | 167.15 Mn |
| Jun 30, 2024 | 186.54 Mn |
| Mar 31, 2024 | 163.74 Mn |
| Dec 31, 2023 | 181.98 Mn |
| Sep 30, 2023 | 162.99 Mn |
| Jun 30, 2023 | 136.20 Mn |
| Mar 31, 2023 | 122.51 Mn |
| Dec 31, 2022 | 131.12 Mn |
| Sep 30, 2022 | 91.82 Mn |
| Jun 30, 2022 | 87.33 Mn |
| Mar 31, 2022 | 117.72 Mn |
| Dec 31, 2021 | 115.77 Mn |
| Sep 30, 2021 | 123.73 Mn |
Universal Display Corp \Pa\ Receivables 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=receivables&ticker=OLED&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=OLED&period=max&api_key=YOUR_API_KEY");
const data = await res.json();