Photronics (PLAB) EPS (Diluted) (2011 - 2026)
Photronics (PLAB) recorded EPS (Diluted) of $0.49 in fiscal Q3 2026 (quarter ended Aug 2, 2026), up 24.9% from $0.39 a year earlier but down 8.0% from the prior quarter.
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Analysis
Photronics (PLAB) EPS (Diluted) (2011 - 2026) Analysis & Trends
On a TTM basis, Photronics' EPS (Diluted) came in at $2.81 as of Aug 2, 2026, up 50.5% year-over-year; for FY2025 (ended Oct 31, 2025), it was $2.28, up 8.7% from FY2024.
- Annual EPS (Diluted) has increased for six straight fiscal years, with a five-year compound annual growth rate of 34.5% (FY2020 to FY2025).
- Across earlier fiscal years, EPS (Diluted) came in at $2.09 in FY2024 (+3.1%), $2.03 in FY2023 (+4.7%), $1.94 in FY2022 (+117.1%) and $0.89 in FY2021 (+73.1%).
- Quarterly EPS (Diluted) has ranged from $0.15 in fiscal Q2 2025 to $1.03 in fiscal Q4 2025 over the past five years.
- On a year-over-year basis, EPS (Diluted) has increased for four consecutive quarters, with growth averaging 40.6% over the last eight quarters.
- Peak year-over-year performance for EPS (Diluted) in the last five years was growth of 268.1% in fiscal Q2 2026, against a decline of 75.0% in fiscal Q2 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $0.54 (Q2 2026), $0.74 (Q1 2026) and $1.03 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,156.82 Bn | 4,930.99 Bn | 72.14 Bn | 2.46 |
| 2 | Taiwan Semiconductor Manufacturing | 2,142.90 Bn | 1,767.76 Bn | 27.22 Bn | 4.31 |
| 3 | Broadcom | 1,538.35 Bn | 1,464.39 Bn | 20.46 Bn | 2.68 |
| 4 | Micron Technology | 981.84 Bn | 887.48 Bn | 47.05 Bn | 32.98 |
| 5 | Advanced Micro Devices | 835.24 Bn | 791.99 Bn | 6.20 Bn | 1.38 |
| 6 | Asml Holding | 618.41 Bn | 574.10 Bn | 5.90 Bn | 8.50 |
| 7 | Intel | 444.25 Bn | 313.39 Bn | 6.51 Bn | -2.16 |
| 8 | Applied Materials | 302.57 Bn | 268.01 Bn | 4.59 Bn | 3.17 |
| 9 | Lam Research | 292.93 Bn | 269.73 Bn | 3.48 Bn | 1.81 |
| 10 | Photronics | 1.61 Bn | -922.74 Mn | 71.73 Mn | 0.49 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 0.49 |
| May 3, 2026 | 0.54 |
| Feb 1, 2026 | 0.74 |
| Oct 31, 2025 | 1.03 |
| Aug 3, 2025 | 0.39 |
| May 4, 2025 | 0.15 |
| Feb 2, 2025 | 0.68 |
| Oct 31, 2024 | 0.54 |
| Jul 28, 2024 | 0.55 |
| Apr 28, 2024 | 0.58 |
| Jan 28, 2024 | 0.42 |
| Oct 31, 2023 | 0.72 |
| Jul 30, 2023 | 0.44 |
| Apr 30, 2023 | 0.65 |
| Jan 29, 2023 | 0.23 |
| Oct 31, 2022 | 0.61 |
| Jul 31, 2022 | 0.51 |
| May 1, 2022 | 0.45 |
| Jan 30, 2022 | 0.38 |
| Oct 31, 2021 | 0.32 |
API Access
Photronics EPS (Diluted) 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=eps-diluted&ticker=PLAB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=PLAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();