Photronics (PLAB) EBIT (2011 - 2026)
Photronics (PLAB) reported EBIT of $45.5 million for fiscal Q3 2026 (quarter ended Aug 2, 2026), down 5.5% from $48.16 million a year earlier but up 7.9% from the prior quarter.
Photronics (PLAB) EBIT (2011 - 2026) Analysis & Trends
Over the twelve months ended Aug 2, 2026, Photronics' EBIT came in at $194.65 million, down 8.1% year-over-year; for FY2025 (ended Oct 31, 2025), it was $208.16 million, down 6.0% from FY2024.
- EBIT has a five-year compound annual growth rate of 26.6% (FY2020 to FY2025).
- By fiscal year, EBIT came in at $221.52 million in FY2024 (-12.5%), $253.05 million in FY2023 (+19.4%), $211.87 million in FY2022 (+124.1%) and $94.55 million in FY2021 (+47.9%).
- Five-year quarterly EBIT spans a low of $33.52 million in fiscal Q4 2021 and a high of $67.05 million in fiscal Q2 2023.
- Year over year, EBIT gained in 1 of the last eight quarters, with an average decline of 7.8%.
- The high point for year-over-year EBIT in five years was fiscal Q1 2022 (growth of 224.6%); the low point was fiscal Q2 2026 (a decline of 24.3%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $42.18 million (Q2 2026), $54.86 million (Q1 2026) and $52.11 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,349.74 Bn | 5,123.90 Bn | 72.14 Bn | 63.73 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,237.56 Bn | 1,862.42 Bn | 27.22 Bn | 24.25 Bn |
| 3 | Broadcom | 1,606.74 Bn | 1,532.78 Bn | 20.46 Bn | 15.96 Bn |
| 4 | Micron Technology | 1,034.40 Bn | 940.04 Bn | 47.05 Bn | 43.75 Bn |
| 5 | Advanced Micro Devices | 907.32 Bn | 864.07 Bn | 6.20 Bn | 1.99 Bn |
| 6 | Asml Holding | 651.75 Bn | 607.44 Bn | 5.90 Bn | - |
| 7 | Intel | 474.57 Bn | 343.70 Bn | 6.51 Bn | 1.80 Bn |
| 8 | Lam Research | 329.70 Bn | 306.49 Bn | 3.48 Bn | 2.51 Bn |
| 9 | Applied Materials | 324.85 Bn | 290.29 Bn | 4.59 Bn | 3.08 Bn |
| 10 | Photronics | 1.69 Bn | -848.27 Mn | 71.73 Mn | 45.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 45.50 Mn |
| May 3, 2026 | 42.18 Mn |
| Feb 1, 2026 | 54.86 Mn |
| Oct 31, 2025 | 52.11 Mn |
| Aug 3, 2025 | 48.16 Mn |
| May 4, 2025 | 55.72 Mn |
| Feb 2, 2025 | 52.18 Mn |
| Oct 31, 2024 | 55.83 Mn |
| Jul 28, 2024 | 52.15 Mn |
| Apr 28, 2024 | 56.05 Mn |
| Jan 28, 2024 | 57.49 Mn |
| Oct 31, 2023 | 64.79 Mn |
| Jul 30, 2023 | 65.26 Mn |
| Apr 30, 2023 | 67.05 Mn |
| Jan 29, 2023 | 55.96 Mn |
| Oct 31, 2022 | 60.54 Mn |
| Jul 31, 2022 | 63.73 Mn |
| May 1, 2022 | 49.40 Mn |
| Jan 30, 2022 | 38.20 Mn |
| Oct 31, 2021 | 33.52 Mn |
Photronics EBIT 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=ebit&ticker=PLAB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=PLAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();