Universal Display Corp \Pa\ (OLED) Accounts Payables (2010 - 2026)
Universal Display Corp \Pa\ (OLED) reported Accounts Payables of $18.6 million for Q2 2026, down 51.6% from $38.47 million a year earlier but up 9.2% from the prior quarter.
Universal Display Corp \Pa\ (OLED) Accounts Payables (2010 - 2026) Analysis & Trends
At the end of FY2025, Universal Display Corp \Pa\ posted Accounts Payables of $23.34 million, down 36.2% from FY2024.
- Accounts Payables has a five-year compound annual growth rate of 11.1% (FY2020 to FY2025).
- By year, Accounts Payables came in at $36.59 million in FY2024 (+234.7%), $10.93 million in FY2023 (+14.9%), $9.52 million in FY2022 (-36.3%) and $14.96 million in FY2021 (+8.4%).
- Five-year quarterly Accounts Payables spans a low of $7.33 million in Q2 2023 and a high of $38.47 million in Q2 2025.
- Year over year, Accounts Payables has now declined in each of the last three quarters, with growth averaging 43.8% over the last eight quarters.
- The high point for year-over-year Accounts Payables in five years was Q4 2024 (growth of 234.7%); the low point was Q1 2023 (a decline of 64.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $17.04 million (Q1 2026), $23.34 million (Q4 2025) and $34.73 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,515.53 Bn | 5,289.69 Bn | 72.14 Bn | 15.06 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,348.76 Bn | 1,974.46 Bn | 27.22 Bn | 3.45 Bn |
| 3 | Broadcom | 1,668.85 Bn | 1,594.89 Bn | 20.46 Bn | 4.00 Bn |
| 4 | Micron Technology | 1,189.94 Bn | 1,128.71 Bn | 35.06 Bn | 15.52 Bn |
| 5 | Advanced Micro Devices | 992.04 Bn | 948.79 Bn | 6.20 Bn | 5.36 Bn |
| 6 | Asml Holding | 682.73 Bn | 638.57 Bn | 5.90 Bn | 4.10 Bn |
| 7 | Intel | 585.14 Bn | 469.87 Bn | 6.51 Bn | 8.76 Bn |
| 8 | Lam Research | 393.49 Bn | 370.29 Bn | 3.48 Bn | 1.30 Bn |
| 9 | Applied Materials | 386.29 Bn | 351.73 Bn | 4.59 Bn | 5.79 Bn |
| 10 | Universal Display Corp \Pa\ | 3.49 Bn | 1.30 Bn | 115.37 Mn | 18.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.60 Mn |
| Mar 31, 2026 | 17.04 Mn |
| Dec 31, 2025 | 23.34 Mn |
| Sep 30, 2025 | 34.73 Mn |
| Jun 30, 2025 | 38.47 Mn |
| Mar 31, 2025 | 28.29 Mn |
| Dec 31, 2024 | 36.59 Mn |
| Sep 30, 2024 | 24.70 Mn |
| Jun 30, 2024 | 23.64 Mn |
| Mar 31, 2024 | 12.84 Mn |
| Dec 31, 2023 | 10.93 Mn |
| Sep 30, 2023 | 20.62 Mn |
| Jun 30, 2023 | 7.33 Mn |
| Mar 31, 2023 | 9.74 Mn |
| Dec 31, 2022 | 9.52 Mn |
| Sep 30, 2022 | 13.36 Mn |
| Jun 30, 2022 | 14.05 Mn |
| Mar 31, 2022 | 27.06 Mn |
| Dec 31, 2021 | 14.96 Mn |
| Sep 30, 2021 | 10.94 Mn |
Universal Display Corp \Pa\ Accounts Payables 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=accounts-payables&ticker=OLED&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-payables", "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=accounts-payables&ticker=OLED&period=max&api_key=YOUR_API_KEY");
const data = await res.json();