Photronics (PLAB) Research & Development (2011 - 2026)
Photronics (PLAB) reported Research & Development of $3.71 million for fiscal Q3 2026 (quarter ended Aug 2, 2026), down 13.2% from $4.27 million a year earlier but up 31.4% from the prior quarter.
Photronics (PLAB) Research & Development (2011 - 2026) Analysis & Trends
Over the twelve months ended Aug 2, 2026, Photronics' Research & Development came in at $12.3 million, down 31.4% year-over-year; for FY2025 (ended Oct 31, 2025), it was $15.8 million, down 4.8% from FY2024.
- Research & Development has a five-year compound annual growth rate of -1.6% (FY2020 to FY2025).
- By fiscal year, Research & Development came in at $16.6 million in FY2024 (+21.2%), $13.7 million in FY2023 (-25.3%), $18.34 million in FY2022 (-0.8%) and $18.49 million in FY2021 (+7.9%).
- Five-year quarterly Research & Development spans a low of $2.59 million in fiscal Q1 2026 and a high of $5.94 million in fiscal Q1 2022.
- Year over year, Research & Development has now declined in each of the last four quarters, with an average decline of 3.6% over the last eight quarters.
- The high point for year-over-year Research & Development in five years was fiscal Q4 2024 (growth of 55.6%); the low point was fiscal Q1 2023 (a decline of 44.4%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $2.82 million (Q2 2026), $2.59 million (Q1 2026) and $3.19 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,369.70 Bn | 5,143.86 Bn | 72.14 Bn | 7.05 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,240.62 Bn | 1,865.48 Bn | 27.22 Bn | 2.31 Bn |
| 3 | Broadcom | 1,610.24 Bn | 1,536.29 Bn | 20.46 Bn | 2.90 Bn |
| 4 | Micron Technology | 1,032.70 Bn | 938.34 Bn | 47.05 Bn | 1.91 Bn |
| 5 | Advanced Micro Devices | 903.31 Bn | 860.06 Bn | 6.20 Bn | 2.53 Bn |
| 6 | Asml Holding | 651.41 Bn | 607.10 Bn | 5.90 Bn | - |
| 7 | Intel | 474.60 Bn | 343.73 Bn | 6.51 Bn | 3.37 Bn |
| 8 | Lam Research | 327.65 Bn | 304.45 Bn | 3.48 Bn | 642.92 Mn |
| 9 | Applied Materials | 324.38 Bn | 289.82 Bn | 4.59 Bn | 1.10 Bn |
| 10 | Photronics | 1.68 Bn | -854.37 Mn | 71.73 Mn | 3.71 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 3.71 Mn |
| May 3, 2026 | 2.82 Mn |
| Feb 1, 2026 | 2.59 Mn |
| Oct 31, 2025 | 3.19 Mn |
| Aug 3, 2025 | 4.27 Mn |
| May 4, 2025 | 4.09 Mn |
| Feb 2, 2025 | 4.26 Mn |
| Oct 31, 2024 | 5.31 Mn |
| Jul 28, 2024 | 3.56 Mn |
| Apr 28, 2024 | 4.29 Mn |
| Jan 28, 2024 | 3.45 Mn |
| Oct 31, 2023 | 3.41 Mn |
| Jul 30, 2023 | 3.51 Mn |
| Apr 30, 2023 | 3.48 Mn |
| Jan 29, 2023 | 3.30 Mn |
| Oct 31, 2022 | 4.04 Mn |
| Jul 31, 2022 | 4.15 Mn |
| May 1, 2022 | 4.21 Mn |
| Jan 30, 2022 | 5.94 Mn |
| Oct 31, 2021 | 4.10 Mn |
Photronics Research & Development 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=research-and-development&ticker=PLAB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "ticker": "PLAB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=research-and-development&ticker=PLAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();