Photronics (PLAB) Tax Provisions (2011 - 2026)
Photronics' Tax Provisions came in at $10.99 million for fiscal Q3 2026 (quarter ended Aug 2, 2026), up 14.5% from $9.59 million a year earlier and up 3.6% from the prior quarter.
Photronics (PLAB) Tax Provisions (2011 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 2, 2026, Photronics reported Tax Provisions of $33.29 million, down 31.7% year-over-year; for FY2025 (ended Oct 31, 2025), it came in at $31.55 million, down 50.4% from FY2024.
- Tax Provisions carries a five-year compound annual growth rate of 8.2% (FY2020 to FY2025).
- Going back by fiscal year, Tax Provisions was $63.57 million in FY2024 (-9.6%), $70.31 million in FY2023 (+17.6%), $59.79 million in FY2022 (+157.8%) and $23.19 million in FY2021 (+9.1%).
- The five-year range for quarterly Tax Provisions is -$2.66 million (fiscal Q4 2025) to $21.34 million (fiscal Q2 2023).
- Year-over-year, Tax Provisions increased in three of the last seven quarters, with an average decline of 3.9%.
- The fastest year-over-year change in Tax Provisions over five years came in fiscal Q2 2022 (growth of 287.5%), and the weakest in fiscal Q2 2025 (a decline of 71.7%).
- Business Quant data shows PLAB's Tax Provisions at $10.61 million (Q2 2026), $14.36 million (Q1 2026) and -$2.66 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,355.19 Bn | 5,129.36 Bn | 72.14 Bn | 11.82 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,236.39 Bn | 1,861.26 Bn | 27.22 Bn | 4.92 Bn |
| 3 | Broadcom | 1,607.52 Bn | 1,533.57 Bn | 20.46 Bn | 2.19 Bn |
| 4 | Micron Technology | 1,031.27 Bn | 936.91 Bn | 47.05 Bn | 6.58 Bn |
| 5 | Advanced Micro Devices | 906.49 Bn | 863.24 Bn | 6.20 Bn | 252.00 Mn |
| 6 | Asml Holding | 650.69 Bn | 606.38 Bn | 5.90 Bn | - |
| 7 | Intel | 473.34 Bn | 342.48 Bn | 6.51 Bn | 29.00 Mn |
| 8 | Lam Research | 328.59 Bn | 305.39 Bn | 3.48 Bn | 277.86 Mn |
| 9 | Applied Materials | 324.85 Bn | 290.29 Bn | 4.59 Bn | 369.00 Mn |
| 10 | Photronics | 1.69 Bn | -848.27 Mn | 71.73 Mn | 10.99 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 10.99 Mn |
| May 3, 2026 | 10.61 Mn |
| Feb 1, 2026 | 14.36 Mn |
| Oct 31, 2025 | -2.66 Mn |
| Aug 3, 2025 | 9.59 Mn |
| May 4, 2025 | 5.71 Mn |
| Feb 2, 2025 | 18.90 Mn |
| Oct 31, 2024 | 14.57 Mn |
| Jul 28, 2024 | 14.12 Mn |
| Apr 28, 2024 | 20.21 Mn |
| Jan 28, 2024 | 14.66 Mn |
| Oct 31, 2023 | 20.29 Mn |
| Jul 30, 2023 | 16.10 Mn |
| Apr 30, 2023 | 21.34 Mn |
| Jan 29, 2023 | 12.58 Mn |
| Oct 31, 2022 | 16.07 Mn |
| Jul 31, 2022 | 18.15 Mn |
| May 1, 2022 | 14.39 Mn |
| Jan 30, 2022 | 11.18 Mn |
| Oct 31, 2021 | 8.70 Mn |
Photronics Tax Provisions 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=tax-provisions&ticker=PLAB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=PLAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();