Photronics (PLAB) Retained Earnings (2010 - 2026)
Photronics' Retained Earnings was $874.67 million in fiscal Q3 2026 (quarter ended Aug 2, 2026), up 23.1% from $710.4 million a year earlier and up 3.4% from the prior quarter.
Photronics (PLAB) Retained Earnings (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 31, 2025), Retained Earnings at Photronics came in at $772.2 million, up 11.6% from FY2024.
- Retained Earnings has now increased for 14 consecutive fiscal years, with a five-year compound annual growth rate of 22.6% (FY2020 to FY2025).
- In earlier fiscal years, Retained Earnings was $691.81 million in FY2024 (+23.3%), $561.12 million in FY2023 (+28.8%), $435.63 million in FY2022 (+37.1%) and $317.85 million in FY2021 (+13.9%).
- The fiscal Q3 2026 figure marks the highest quarterly Retained Earnings in data going back to fiscal Q4 2010.
- Compared with a year earlier, Retained Earnings has increased for 57 straight quarters, with growth averaging 16.9% over the last eight quarters.
- Over the past five years, the year-over-year growth in Retained Earnings ranged from 8.0% (fiscal Q3 2025) to 37.1% (fiscal Q4 2022).
- Per Business Quant data, PLAB's Retained Earnings in the three fiscal quarters before Q3 2026 was $845.75 million (Q2 2026), $814.32 million (Q1 2026) and $772.2 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,369.70 Bn | 5,143.86 Bn | 72.14 Bn | 219.16 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,240.62 Bn | 1,865.48 Bn | 27.22 Bn | 294.22 Bn |
| 3 | Broadcom | 1,610.24 Bn | 1,536.29 Bn | 20.46 Bn | 22.15 Bn |
| 4 | Micron Technology | 1,032.70 Bn | 938.34 Bn | 47.05 Bn | 131.85 Bn |
| 5 | Advanced Micro Devices | 903.31 Bn | 860.06 Bn | 6.20 Bn | 5.91 Bn |
| 6 | Asml Holding | 651.41 Bn | 607.10 Bn | 5.90 Bn | 20.66 Bn |
| 7 | Intel | 474.60 Bn | 343.73 Bn | 6.51 Bn | 33.84 Bn |
| 8 | Lam Research | 327.65 Bn | 304.45 Bn | 3.48 Bn | 34.95 Bn |
| 9 | Applied Materials | 324.38 Bn | 289.82 Bn | 4.59 Bn | 61.39 Bn |
| 10 | Photronics | 1.68 Bn | -854.37 Mn | 71.73 Mn | 874.67 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 874.67 Mn |
| May 3, 2026 | 845.75 Mn |
| Feb 1, 2026 | 814.32 Mn |
| Oct 31, 2025 | 772.20 Mn |
| Aug 3, 2025 | 710.40 Mn |
| May 4, 2025 | 698.42 Mn |
| Feb 2, 2025 | 731.71 Mn |
| Oct 31, 2024 | 691.81 Mn |
| Jul 28, 2024 | 657.94 Mn |
| Apr 28, 2024 | 623.55 Mn |
| Jan 28, 2024 | 587.30 Mn |
| Oct 31, 2023 | 561.12 Mn |
| Jul 30, 2023 | 516.51 Mn |
| Apr 30, 2023 | 489.55 Mn |
| Jan 29, 2023 | 449.62 Mn |
| Oct 31, 2022 | 435.63 Mn |
| Jul 31, 2022 | 398.57 Mn |
| May 1, 2022 | 367.34 Mn |
| Jan 30, 2022 | 339.91 Mn |
| Oct 31, 2021 | 317.85 Mn |
Photronics Retained Earnings 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=retained-earnings&ticker=PLAB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=PLAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();