Photronics (PLAB) Change in Accured Expenses (2010 - 2026)
Photronics' Change in Accured Expenses was $1.26 million in fiscal Q3 2026 (quarter ended Aug 2, 2026), compared with -$6.84 million a year earlier.
Photronics (PLAB) Change in Accured Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Photronics' Change in Accured Expenses was $1.28 million through Aug 2, 2026; for FY2025 (ended Oct 31, 2025), it was -$12.91 million.
- In earlier fiscal years, Change in Accured Expenses was -$9.64 million in FY2024, -$294,000 in FY2023, $60.57 million in FY2022 (+138.2%) and $25.43 million in FY2021.
- Quarterly Change in Accured Expenses has moved between -$26.35 million (fiscal Q2 2026) and $23.93 million (fiscal Q3 2022) over five years.
- Per Business Quant data, PLAB's Change in Accured Expenses in the three fiscal quarters before Q3 2026 was -$26.35 million (Q2 2026), $20.14 million (Q1 2026) and $6.24 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,109.17 Bn | 4,883.33 Bn | 72.14 Bn | 252.00 Mn |
| 2 | Taiwan Semiconductor Manufacturing | 2,161.49 Bn | 1,786.35 Bn | 27.22 Bn | 157.82 Mn |
| 3 | Broadcom | 1,533.75 Bn | 1,459.79 Bn | 20.46 Bn | 372.00 Mn |
| 4 | Micron Technology | 989.15 Bn | 894.78 Bn | 47.05 Bn | 5.38 Bn |
| 5 | Advanced Micro Devices | 840.45 Bn | 797.19 Bn | 6.20 Bn | -652.00 Mn |
| 6 | Asml Holding | 609.94 Bn | 565.63 Bn | 5.90 Bn | - |
| 7 | Intel | 442.11 Bn | 311.24 Bn | 6.51 Bn | 803.00 Mn |
| 8 | Applied Materials | 298.82 Bn | 264.26 Bn | 4.59 Bn | 633.00 Mn |
| 9 | Lam Research | 287.79 Bn | 263.84 Bn | 4.30 Bn | - |
| 10 | Photronics | 1.64 Bn | -897.72 Mn | 71.73 Mn | 1.26 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 1.26 Mn |
| May 3, 2026 | -26.35 Mn |
| Feb 1, 2026 | 20.14 Mn |
| Oct 31, 2025 | 6.24 Mn |
| Aug 3, 2025 | -6.84 Mn |
| May 4, 2025 | -3.59 Mn |
| Feb 2, 2025 | -8.73 Mn |
| Oct 31, 2024 | -1.39 Mn |
| Jul 28, 2024 | 6.03 Mn |
| Apr 28, 2024 | 1.22 Mn |
| Jan 28, 2024 | -15.51 Mn |
| Oct 31, 2023 | 5.90 Mn |
| Jul 30, 2023 | 8.79 Mn |
| Apr 30, 2023 | -11.71 Mn |
| Jan 29, 2023 | -3.28 Mn |
| Oct 31, 2022 | 11.49 Mn |
| Jul 31, 2022 | 23.93 Mn |
| May 1, 2022 | 9.53 Mn |
| Jan 30, 2022 | 15.62 Mn |
| Oct 31, 2021 | 14.79 Mn |
Photronics Change in Accured 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=change-in-accured-expenses&ticker=PLAB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=PLAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();