Photronics (PLAB) Non-Current Assets (2010 - 2026)
Photronics' Non-Current Assets came in at $258.63 million for fiscal Q3 2026 (quarter ended Aug 2, 2026), up 3.2% from $250.51 million a year earlier and up 0.4% from the prior quarter.
Photronics (PLAB) Non-Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 31, 2025), Photronics' Non-Current Assets was $250.15 million, up 10.4% from FY2024.
- Non-Current Assets has increased in each of the last three fiscal years, with a five-year compound annual growth rate of 3.4% (FY2020 to FY2025).
- Going back by fiscal year, Non-Current Assets was $226.57 million in FY2024 (+10.8%), $204.52 million in FY2023 (+14.2%), $179.1 million in FY2022 (-13.4%) and $206.71 million in FY2021 (-2.3%).
- The five-year range for quarterly Non-Current Assets is $179.1 million (fiscal Q4 2022) to $259.15 million (fiscal Q1 2026).
- Year-over-year, Non-Current Assets has increased for six consecutive quarters, with growth averaging 9.2% over the last eight quarters.
- The fastest year-over-year change in Non-Current Assets over five years came in fiscal Q1 2026 (growth of 17.8%), and the weakest in fiscal Q4 2022 (a decline of 13.4%).
- Business Quant data shows PLAB's Non-Current Assets at $257.49 million (Q2 2026), $259.15 million (Q1 2026) and $250.15 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,353.85 Bn | 5,128.01 Bn | 72.14 Bn | 122.86 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,236.78 Bn | 1,861.64 Bn | 27.22 Bn | 150.94 Bn |
| 3 | Broadcom | 1,610.07 Bn | 1,536.12 Bn | 20.46 Bn | 135.98 Bn |
| 4 | Micron Technology | 1,032.81 Bn | 938.45 Bn | 47.05 Bn | 104.82 Bn |
| 5 | Advanced Micro Devices | 906.55 Bn | 863.30 Bn | 6.20 Bn | 52.94 Bn |
| 6 | Asml Holding | 651.24 Bn | 606.93 Bn | 5.90 Bn | 23.44 Bn |
| 7 | Intel | 472.66 Bn | 341.80 Bn | 6.51 Bn | 145.23 Bn |
| 8 | Lam Research | 329.58 Bn | 306.37 Bn | 3.48 Bn | 7.92 Bn |
| 9 | Applied Materials | 325.37 Bn | 290.82 Bn | 4.59 Bn | 18.43 Bn |
| 10 | Photronics | 1.69 Bn | -844.77 Mn | 71.73 Mn | 258.63 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 258.63 Mn |
| May 3, 2026 | 257.49 Mn |
| Feb 1, 2026 | 259.15 Mn |
| Oct 31, 2025 | 250.15 Mn |
| Aug 3, 2025 | 250.51 Mn |
| May 4, 2025 | 250.80 Mn |
| Feb 2, 2025 | 220.03 Mn |
| Oct 31, 2024 | 226.57 Mn |
| Jul 28, 2024 | 217.32 Mn |
| Apr 28, 2024 | 216.67 Mn |
| Jan 28, 2024 | 225.13 Mn |
| Oct 31, 2023 | 204.52 Mn |
| Jul 30, 2023 | 214.09 Mn |
| Apr 30, 2023 | 218.22 Mn |
| Jan 29, 2023 | 225.56 Mn |
| Oct 31, 2022 | 179.10 Mn |
| Jul 31, 2022 | 194.73 Mn |
| May 1, 2022 | 202.38 Mn |
| Jan 30, 2022 | 215.04 Mn |
| Oct 31, 2021 | 206.71 Mn |
Photronics Non-Current Assets 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=non-current-assets&ticker=PLAB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=PLAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();