Photronics (PLAB) Accumulated Expenses (2010 - 2026)
Photronics' Accumulated Expenses was $76.11 million in fiscal Q3 2026 (quarter ended Aug 2, 2026), up 2.1% from $74.56 million a year earlier but down 3.6% from the prior quarter.
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Analysis
Photronics (PLAB) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 31, 2025), Accumulated Expenses at Photronics came in at $81.65 million, down 6.3% from FY2024.
- Accumulated Expenses has now declined for three consecutive fiscal years, though with a five-year compound annual growth rate of 8.7% (FY2020 to FY2025).
- In earlier fiscal years, Accumulated Expenses was $87.12 million in FY2024 (-7.9%), $94.58 million in FY2023 (-9.2%), $104.21 million in FY2022 (+44.0%) and $72.37 million in FY2021 (+34.3%).
- Quarterly Accumulated Expenses has moved between $72.37 million (fiscal Q4 2021) and $107.97 million (fiscal Q1 2023) over five years.
- Compared with a year earlier, Accumulated Expenses has increased for three straight quarters, with an average decline of 0.1% over the last eight quarters.
- The best year-over-year quarter for Accumulated Expenses over five years was fiscal Q2 2022 (growth of 90.2%); the worst was fiscal Q1 2024 (a decline of 28.1%).
- Per Business Quant data, PLAB's Accumulated Expenses in the three fiscal quarters before Q3 2026 was $78.98 million (Q2 2026), $94.99 million (Q1 2026) and $81.65 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,192.26 Bn | 4,966.42 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,155.94 Bn | 1,780.80 Bn | 27.22 Bn |
| 3 | Broadcom | 1,554.67 Bn | 1,480.71 Bn | 20.46 Bn |
| 4 | Micron Technology | 992.19 Bn | 897.82 Bn | 47.05 Bn |
| 5 | Advanced Micro Devices | 843.27 Bn | 800.02 Bn | 6.20 Bn |
| 6 | Asml Holding | 623.01 Bn | 578.70 Bn | 5.90 Bn |
| 7 | Intel | 445.93 Bn | 315.06 Bn | 6.51 Bn |
| 8 | Applied Materials | 306.13 Bn | 271.57 Bn | 4.59 Bn |
| 9 | Lam Research | 297.64 Bn | 274.44 Bn | 3.48 Bn |
| 10 | Photronics | 1.61 Bn | -923.77 Mn | 71.73 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 76.11 Mn |
| May 3, 2026 | 78.98 Mn |
| Feb 1, 2026 | 94.99 Mn |
| Oct 31, 2025 | 81.65 Mn |
| Aug 3, 2025 | 74.56 Mn |
| May 4, 2025 | 77.29 Mn |
| Feb 2, 2025 | 74.08 Mn |
| Oct 31, 2024 | 87.12 Mn |
| Jul 28, 2024 | 82.02 Mn |
| Apr 28, 2024 | 81.50 Mn |
| Jan 28, 2024 | 77.59 Mn |
| Oct 31, 2023 | 94.58 Mn |
| Jul 30, 2023 | 82.54 Mn |
| Apr 30, 2023 | 85.48 Mn |
| Jan 29, 2023 | 107.97 Mn |
| Oct 31, 2022 | 104.21 Mn |
| Jul 31, 2022 | 104.15 Mn |
| May 1, 2022 | 95.72 Mn |
| Jan 30, 2022 | 77.87 Mn |
| Oct 31, 2021 | 72.37 Mn |
API Access
Photronics Accumulated Expenses 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=accumulated-expenses&ticker=PLAB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=PLAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();