Photronics (PLAB) EBITDA (2011 - 2026)
Photronics (PLAB) reported EBITDA of $66.51 million for fiscal Q3 2026 (quarter ended Aug 2, 2026), down 0.7% from $67.01 million a year earlier but up 6.9% from the prior quarter.
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Analysis
Photronics (PLAB) EBITDA (2011 - 2026) Analysis & Trends
Over the twelve months ended Aug 2, 2026, Photronics' EBITDA came in at $273.49 million, down 6.3% year-over-year; for FY2025 (ended Oct 31, 2025), it came in at $285.77 million, down 6.1% from FY2024.
- EBITDA has a five-year compound annual growth rate of 12.6% (FY2020 to FY2025).
- By fiscal year, EBITDA came in at $304.32 million in FY2024 (-8.9%), $333.89 million in FY2023 (+14.3%), $292.2 million in FY2022 (+58.0%) and $184.95 million in FY2021 (+17.2%).
- Five-year quarterly EBITDA spans a low of $51.75 million in fiscal Q4 2021 and a high of $87.03 million in fiscal Q2 2023.
- Year over year, EBITDA gained in 1 of the last eight quarters, with an average decline of 6.4%.
- The high point for year-over-year EBITDA in five years was fiscal Q1 2022 (growth of 66.3%); the low point was fiscal Q2 2026 (a decline of 17.4%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $62.19 million (Q2 2026), $74.66 million (Q1 2026) and $70.13 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 25,315.76 Bn | 25,299.34 Bn | 43.99 Bn | - |
| 2 | Taiwan Semiconductor Manufacturing | 10,307.80 Bn | 10,042.23 Bn | - | - |
| 3 | Nvidia | 4,179.08 Bn | 3,953.24 Bn | 72.14 Bn | 64.86 Bn |
| 4 | Broadcom | 1,586.53 Bn | 1,512.57 Bn | 20.46 Bn | 18.23 Bn |
| 5 | Advanced Micro Devices | 875.82 Bn | 824.04 Bn | 7.21 Bn | 3.61 Bn |
| 6 | Micron Technology | 828.06 Bn | 733.70 Bn | 47.05 Bn | 46.39 Bn |
| 7 | Asml Holding | 596.24 Bn | 551.71 Bn | - | - |
| 8 | Intel | 312.07 Bn | 158.13 Bn | 7.10 Bn | 5.75 Bn |
| 9 | Applied Materials | 301.25 Bn | 266.69 Bn | 4.59 Bn | 3.23 Bn |
| 10 | Photronics | 1.67 Bn | -862.81 Mn | 71.73 Mn | 66.51 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 66.51 Mn |
| May 3, 2026 | 62.19 Mn |
| Feb 1, 2026 | 74.66 Mn |
| Oct 31, 2025 | 70.13 Mn |
| Aug 3, 2025 | 67.01 Mn |
| May 4, 2025 | 75.31 Mn |
| Feb 2, 2025 | 72.97 Mn |
| Oct 31, 2024 | 76.65 Mn |
| Jul 28, 2024 | 72.27 Mn |
| Apr 28, 2024 | 76.84 Mn |
| Jan 28, 2024 | 78.19 Mn |
| Oct 31, 2023 | 85.74 Mn |
| Jul 30, 2023 | 85.70 Mn |
| Apr 30, 2023 | 87.03 Mn |
| Jan 29, 2023 | 75.06 Mn |
| Oct 31, 2022 | 79.30 Mn |
| Jul 31, 2022 | 83.53 Mn |
| May 1, 2022 | 70.00 Mn |
| Jan 30, 2022 | 59.01 Mn |
| Oct 31, 2021 | 51.75 Mn |
API Access
Photronics EBITDA 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=ebitda&ticker=PLAB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=PLAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();