Photronics (PLAB) Other Accumulated Expenses (2011 - 2025)
Photronics (PLAB) posted Other Accumulated Expenses of $8.17 million for fiscal Q4 2025 (quarter ended Oct 31, 2025), down 13.5% from $9.44 million a year earlier.
Photronics (PLAB) Other Accumulated Expenses (2011 - 2025) Analysis & Trends
Since fiscal Q4 2011, Photronics has reported Other Accumulated Expenses for 15 quarters.
- Annual Other Accumulated Expenses shows a five-year compound annual growth rate of 3.1% (FY2020 to FY2025).
- In prior fiscal years, Photronics' Other Accumulated Expenses was $9.44 million in FY2024 (+28.7%), $7.33 million in FY2023 (+32.3%), $5.54 million in FY2022 (-45.7%) and $10.21 million in FY2021 (+45.7%).
- The fiscal Q4 2025 figure stands as the lowest quarterly Other Accumulated Expenses since fiscal Q4 2023.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,150.66 Bn | 4,924.82 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,177.77 Bn | 1,802.63 Bn | 27.22 Bn |
| 3 | Broadcom | 1,557.96 Bn | 1,484.00 Bn | 20.46 Bn |
| 4 | Micron Technology | 1,000.35 Bn | 905.98 Bn | 47.05 Bn |
| 5 | Advanced Micro Devices | 850.88 Bn | 807.62 Bn | 6.20 Bn |
| 6 | Asml Holding | 610.33 Bn | 566.02 Bn | 5.90 Bn |
| 7 | Intel | 444.84 Bn | 313.97 Bn | 6.51 Bn |
| 8 | Applied Materials | 303.38 Bn | 268.82 Bn | 4.59 Bn |
| 9 | Lam Research | 288.62 Bn | 264.67 Bn | 4.30 Bn |
| 10 | Photronics | 1.64 Bn | -899.46 Mn | 71.73 Mn |
Historic Data
| Date | Value |
|---|---|
| Oct 31, 2025 | 8.17 Mn |
| Oct 31, 2024 | 9.44 Mn |
| Oct 31, 2023 | 7.33 Mn |
| Oct 31, 2022 | 5.54 Mn |
| Oct 31, 2021 | 10.21 Mn |
| Oct 31, 2020 | 7.01 Mn |
| Oct 31, 2019 | 4.98 Mn |
| Oct 31, 2018 | 5.97 Mn |
| Oct 29, 2017 | 4.28 Mn |
| Oct 30, 2016 | 9.80 Mn |
| Nov 1, 2015 | 17.80 Mn |
| Nov 2, 2014 | 7.20 Mn |
| Nov 3, 2013 | 6.35 Mn |
| Oct 28, 2012 | 8.11 Mn |
| Oct 30, 2011 | 7.82 Mn |
Photronics Other 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=other-accumulated-expenses&ticker=PLAB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-accumulated-expenses&ticker=PLAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();