Photronics (PLAB) EBT (2011 - 2026)
Photronics' EBT came in at $54.87 million for fiscal Q3 2026 (quarter ended Aug 2, 2026), up 41.7% from $38.73 million a year earlier and up 1.9% from the prior quarter.
Photronics (PLAB) EBT (2011 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 2, 2026, Photronics reported EBT of $259.22 million, up 29.2% year-over-year; for FY2025 (ended Oct 31, 2025), it came in at $221.78 million, down 10.4% from FY2024.
- EBT carries a five-year compound annual growth rate of 29.2% (FY2020 to FY2025).
- Going back by fiscal year, EBT was $247.42 million in FY2024 (-8.3%), $269.95 million in FY2023 (+12.9%), $239.03 million in FY2022 (+134.3%) and $102.01 million in FY2021 (+65.6%).
- The five-year range for quarterly EBT is $29.93 million (fiscal Q2 2025) to $83.45 million (fiscal Q4 2023).
- Year-over-year, EBT increased in four of the last eight quarters, with growth averaging 8.4%.
- The fastest year-over-year change in EBT over five years came in fiscal Q1 2022 (growth of 244.7%), and the weakest in fiscal Q2 2025 (a decline of 60.9%).
- Business Quant data shows PLAB's EBT at $53.86 million (Q2 2026), $74.53 million (Q1 2026) and $75.96 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,235.65 Bn | 5,009.82 Bn | 72.14 Bn | 71.51 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,206.84 Bn | 1,831.70 Bn | 27.22 Bn | 27.29 Bn |
| 3 | Broadcom | 1,595.23 Bn | 1,521.27 Bn | 20.46 Bn | 15.28 Bn |
| 4 | Micron Technology | 1,011.16 Bn | 916.79 Bn | 47.05 Bn | 44.24 Bn |
| 5 | Advanced Micro Devices | 874.75 Bn | 831.50 Bn | 6.20 Bn | 2.55 Bn |
| 6 | Asml Holding | 634.65 Bn | 590.34 Bn | 5.90 Bn | - |
| 7 | Intel | 469.01 Bn | 338.14 Bn | 6.51 Bn | -10.82 Bn |
| 8 | Lam Research | 331.52 Bn | 308.31 Bn | 3.48 Bn | 2.56 Bn |
| 9 | Applied Materials | 321.88 Bn | 287.32 Bn | 4.59 Bn | 2.91 Bn |
| 10 | Photronics | 1.67 Bn | -868.63 Mn | 71.73 Mn | 54.87 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 54.87 Mn |
| May 3, 2026 | 53.86 Mn |
| Feb 1, 2026 | 74.53 Mn |
| Oct 31, 2025 | 75.96 Mn |
| Aug 3, 2025 | 38.73 Mn |
| May 4, 2025 | 29.93 Mn |
| Feb 2, 2025 | 77.16 Mn |
| Oct 31, 2024 | 54.79 Mn |
| Jul 28, 2024 | 62.29 Mn |
| Apr 28, 2024 | 76.59 Mn |
| Jan 28, 2024 | 53.74 Mn |
| Oct 31, 2023 | 83.45 Mn |
| Jul 30, 2023 | 64.35 Mn |
| Apr 30, 2023 | 80.62 Mn |
| Jan 29, 2023 | 41.53 Mn |
| Oct 31, 2022 | 71.34 Mn |
| Jul 31, 2022 | 67.37 Mn |
| May 1, 2022 | 57.42 Mn |
| Jan 30, 2022 | 42.90 Mn |
| Oct 31, 2021 | 37.33 Mn |
Photronics EBT 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=ebt&ticker=PLAB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=PLAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();