Photronics (PLAB) Shares Outstanding (2010 - 2026)
Photronics (PLAB) recorded Shares Outstanding of 58.18 million in fiscal Q3 2026 (quarter ended Aug 2, 2026), up 0.4% from 57.94 million a year earlier and up 0.1% from the prior quarter.
Photronics (PLAB) Shares Outstanding (2010 - 2026) Analysis & Trends
For FY2025 (ended Oct 31, 2025), Photronics reported Shares Outstanding of 59.61 million, down 3.4% from FY2024.
- Annual Shares Outstanding has a five-year compound annual growth rate of -1.7% (FY2020 to FY2025).
- Across earlier fiscal years, Shares Outstanding came in at 61.73 million in FY2024 (+1.0%), 61.14 million in FY2023 (+1.0%), 60.56 million in FY2022 (-1.4%) and 61.41 million in FY2021 (-5.3%).
- Quarterly Shares Outstanding has ranged from 57.79 million in fiscal Q1 2026 to 62.09 million in fiscal Q1 2025 over the past five years.
- On a year-over-year basis, Shares Outstanding rose in three of the last eight quarters, with an average decline of 2.5%.
- Peak year-over-year performance for Shares Outstanding in the last five years was growth of 1.2% in fiscal Q1 2023, against a decline of 6.9% in fiscal Q1 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 58.12 million (Q2 2026), 57.79 million (Q1 2026) and 59.61 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,352.52 Bn | 5,126.68 Bn | 72.14 Bn | 24.19 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,233.20 Bn | 1,858.07 Bn | 27.22 Bn | 5.19 Bn |
| 3 | Broadcom | 1,605.83 Bn | 1,531.88 Bn | 20.46 Bn | 4.77 Bn |
| 4 | Micron Technology | 1,033.46 Bn | 939.10 Bn | 47.05 Bn | 1.13 Bn |
| 5 | Advanced Micro Devices | 905.18 Bn | 861.93 Bn | 6.20 Bn | 1.63 Bn |
| 6 | Asml Holding | 649.81 Bn | 605.49 Bn | 5.90 Bn | 388.50 Mn |
| 7 | Intel | 471.51 Bn | 340.64 Bn | 6.51 Bn | 5.10 Bn |
| 8 | Lam Research | 328.20 Bn | 305.00 Bn | 3.48 Bn | 1.26 Bn |
| 9 | Applied Materials | 324.42 Bn | 289.86 Bn | 4.59 Bn | 794.00 Mn |
| 10 | Photronics | 1.68 Bn | -851.17 Mn | 71.73 Mn | 58.18 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 58.18 Mn |
| May 3, 2026 | 58.12 Mn |
| Feb 1, 2026 | 57.79 Mn |
| Oct 31, 2025 | 59.61 Mn |
| Aug 3, 2025 | 57.94 Mn |
| May 4, 2025 | 60.79 Mn |
| Feb 2, 2025 | 62.09 Mn |
| Oct 31, 2024 | 61.73 Mn |
| Jul 28, 2024 | 61.82 Mn |
| Apr 28, 2024 | 61.77 Mn |
| Jan 28, 2024 | 61.46 Mn |
| Oct 31, 2023 | 61.14 Mn |
| Jul 30, 2023 | 61.23 Mn |
| Apr 30, 2023 | 61.14 Mn |
| Jan 29, 2023 | 60.89 Mn |
| Oct 31, 2022 | 60.56 Mn |
| Jul 31, 2022 | 60.70 Mn |
| May 1, 2022 | 60.61 Mn |
| Jan 30, 2022 | 60.16 Mn |
| Oct 31, 2021 | 61.41 Mn |
Photronics Shares Outstanding 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=shares-outstanding&ticker=PLAB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=PLAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();