Universal Display Corp \Pa\ (OLED) Change in Inventory (2010 - 2026)
Universal Display Corp \Pa\ (OLED) recorded Change in Inventory of $1.43 million in Q2 2026, down 86.7% from $10.8 million a year earlier and down 80.4% from the prior quarter.
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Analysis
Universal Display Corp \Pa\ (OLED) Change in Inventory (2010 - 2026) Analysis & Trends
On a TTM basis, Universal Display Corp \Pa\'s Change in Inventory came in at $41.45 million as of Jun 30, 2026, up 14.0% year-over-year; for FY2025, it came in at $57.97 million, up 711.6% from FY2024.
- Annual Change in Inventory has a five-year compound annual growth rate of 16.0% (FY2020 to FY2025).
- Across earlier years, Change in Inventory came in at $7.14 million in FY2024, -$7.43 million in FY2023, $49.06 million in FY2022 (+15.2%) and $42.57 million in FY2021 (+54.0%).
- The Q2 2026 figure is the lowest quarterly Change in Inventory since Q2 2024.
- On a year-over-year basis, Change in Inventory rose in two of the last five quarters, with growth averaging 30.1%.
- Peak year-over-year performance for Change in Inventory in the last five years was growth of 508.4% in Q2 2022, against a decline of 92.8% in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $7.3 million (Q1 2026), $28.29 million (Q4 2025) and $4.42 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,290.23 Bn | 5,064.39 Bn | 72.14 Bn | 5.78 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,267.07 Bn | 1,891.93 Bn | 27.22 Bn | -2.34 Bn |
| 3 | Broadcom | 1,627.83 Bn | 1,553.87 Bn | 20.46 Bn | 195.00 Mn |
| 4 | Micron Technology | 1,049.84 Bn | 955.48 Bn | 47.05 Bn | 1.81 Bn |
| 5 | Advanced Micro Devices | 911.81 Bn | 868.56 Bn | 6.20 Bn | 423.00 Mn |
| 6 | Asml Holding | 636.14 Bn | 591.83 Bn | 5.90 Bn | - |
| 7 | Intel | 479.55 Bn | 348.68 Bn | 6.51 Bn | 66.00 Mn |
| 8 | Applied Materials | 315.89 Bn | 281.33 Bn | 4.59 Bn | 208.00 Mn |
| 9 | Lam Research | 301.25 Bn | 277.30 Bn | 4.30 Bn | - |
| 10 | Universal Display Corp \Pa\ | 4.12 Bn | 1.93 Bn | 115.37 Mn | 1.43 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.43 Mn |
| Mar 31, 2026 | 7.30 Mn |
| Dec 31, 2025 | 28.29 Mn |
| Sep 30, 2025 | 4.42 Mn |
| Jun 30, 2025 | 10.80 Mn |
| Mar 31, 2025 | 14.46 Mn |
| Dec 31, 2024 | 6.98 Mn |
| Sep 30, 2024 | 4.12 Mn |
| Jun 30, 2024 | -1.06 Mn |
| Mar 31, 2024 | -2.89 Mn |
| Dec 31, 2023 | -5.61 Mn |
| Sep 30, 2023 | 5.55 Mn |
| Jun 30, 2023 | 1.61 Mn |
| Mar 31, 2023 | -8.98 Mn |
| Dec 31, 2022 | 3.03 Mn |
| Sep 30, 2022 | 14.56 Mn |
| Jun 30, 2022 | 22.40 Mn |
| Mar 31, 2022 | 9.08 Mn |
| Dec 31, 2021 | 10.62 Mn |
| Sep 30, 2021 | 17.77 Mn |
API Access
Universal Display Corp \Pa\ Change in Inventory 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=change-in-inventory&ticker=OLED&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "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=change-in-inventory&ticker=OLED&period=max&api_key=YOUR_API_KEY");
const data = await res.json();