Photronics (PLAB) Gross Margin (2011 - 2026)
Photronics' Gross Margin was 33.20% in fiscal Q3 2026 (quarter ended Aug 2, 2026), down 0.47 percentage points from 33.68% a year earlier but up 1.88 percentage points from the prior quarter.
Photronics (PLAB) Gross Margin (2011 - 2026) Analysis & Trends
On a trailing twelve-month basis, Photronics' Gross Margin was 33.65% through Aug 2, 2026, down 2.16 percentage points year-over-year; for FY2025 (ended Oct 31, 2025), it was 35.30%, down 1.14 percentage points from FY2024.
- Gross Margin shows a five-year change of +13.22 percentage points (FY2020 to FY2025).
- In earlier fiscal years, Gross Margin was 36.44% in FY2024 (-1.24 pp), 37.68% in FY2023 (+2.00 pp), 35.68% in FY2022 (+10.52 pp) and 25.17% in FY2021 (+3.08 pp).
- Quarterly Gross Margin has moved between 28.65% (fiscal Q4 2021) and 38.71% (fiscal Q3 2023) over five years.
- Compared with a year earlier, Gross Margin has declined for five straight quarters, with an average year-over-year change of -1.45 percentage points over the last eight quarters.
- The best year-over-year quarter for Gross Margin over five years was fiscal Q3 2022 (a gain of 11.57 percentage points); the worst was fiscal Q2 2026 (a drop of 5.60 percentage points).
- Per Business Quant data, PLAB's Gross Margin in the three fiscal quarters before Q3 2026 was 31.32% (Q2 2026), 34.97% (Q1 2026) and 35.01% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,318.78 Bn | 5,092.94 Bn | 72.14 Bn | 74.98% |
| 2 | Taiwan Semiconductor Manufacturing | 2,235.45 Bn | 1,860.31 Bn | 27.22 Bn | 67.72% |
| 3 | Broadcom | 1,604.78 Bn | 1,530.83 Bn | 20.46 Bn | 69.13% |
| 4 | Micron Technology | 1,022.80 Bn | 928.43 Bn | 47.05 Bn | 86.76% |
| 5 | Advanced Micro Devices | 894.89 Bn | 851.64 Bn | 6.20 Bn | 53.77% |
| 6 | Asml Holding | 650.45 Bn | 606.14 Bn | 5.90 Bn | 51.98% |
| 7 | Intel | 471.61 Bn | 340.74 Bn | 6.51 Bn | 40.36% |
| 8 | Lam Research | 335.39 Bn | 312.19 Bn | 3.48 Bn | 51.75% |
| 9 | Applied Materials | 326.99 Bn | 292.43 Bn | 4.59 Bn | 50.31% |
| 10 | Photronics | 1.69 Bn | -849.03 Mn | 71.73 Mn | 33.20% |
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 33.20% |
| May 3, 2026 | 31.32% |
| Feb 1, 2026 | 34.97% |
| Oct 31, 2025 | 35.01% |
| Aug 3, 2025 | 33.68% |
| May 4, 2025 | 36.92% |
| Feb 2, 2025 | 35.61% |
| Oct 31, 2024 | 36.97% |
| Jul 28, 2024 | 35.61% |
| Apr 28, 2024 | 36.52% |
| Jan 28, 2024 | 36.64% |
| Oct 31, 2023 | 37.32% |
| Jul 30, 2023 | 38.71% |
| Apr 30, 2023 | 38.55% |
| Jan 29, 2023 | 36.04% |
| Oct 31, 2022 | 38.17% |
| Jul 31, 2022 | 38.13% |
| May 1, 2022 | 34.34% |
| Jan 30, 2022 | 31.54% |
| Oct 31, 2021 | 28.65% |
Photronics Gross Margin 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=gross-margin&ticker=PLAB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-margin", "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=gross-margin&ticker=PLAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();