Photronics (PLAB) Prepaid Assets (2017 - 2025)
Photronics (PLAB) reported Prepaid Assets of $8.5 million for fiscal Q4 2025 (quarter ended Oct 31, 2025), up 47.4% from $5.77 million a year earlier.
Analysis
Photronics (PLAB) Prepaid Assets (2017 - 2025) Analysis & Trends
Dating back to fiscal Q4 2017, Photronics' Prepaid Assets record includes 14 quarters.
- Prepaid Assets has a five-year compound annual growth rate of 6.7% (FY2020 to FY2025).
- By fiscal year, Prepaid Assets came in at $5.77 million in FY2024 (-42.5%), $10.03 million in FY2023 (+21.4%), $8.26 million in FY2022 (+3.3%) and $8 million in FY2021 (+30.0%).
- The fiscal Q4 2025 figure ranks as the highest quarterly Prepaid Assets since fiscal Q4 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,369.70 Bn | 5,143.86 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,240.62 Bn | 1,865.48 Bn | 27.22 Bn |
| 3 | Broadcom | 1,610.24 Bn | 1,536.29 Bn | 20.46 Bn |
| 4 | Micron Technology | 1,032.70 Bn | 938.34 Bn | 47.05 Bn |
| 5 | Advanced Micro Devices | 903.31 Bn | 860.06 Bn | 6.20 Bn |
| 6 | Asml Holding | 651.41 Bn | 607.10 Bn | 5.90 Bn |
| 7 | Intel | 474.60 Bn | 343.73 Bn | 6.51 Bn |
| 8 | Lam Research | 327.65 Bn | 304.45 Bn | 3.48 Bn |
| 9 | Applied Materials | 324.38 Bn | 289.82 Bn | 4.59 Bn |
| 10 | Photronics | 1.68 Bn | -854.37 Mn | 71.73 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Oct 31, 2025 | 8.50 Mn |
| Oct 31, 2024 | 5.77 Mn |
| Oct 31, 2023 | 10.03 Mn |
| Oct 31, 2022 | 8.26 Mn |
| Oct 31, 2021 | 8.00 Mn |
| Oct 31, 2020 | 6.15 Mn |
| Oct 31, 2019 | 6.51 Mn |
| Jul 28, 2019 | 10.44 Mn |
| Apr 28, 2019 | 8.53 Mn |
| Jan 27, 2019 | 4.58 Mn |
| Oct 31, 2018 | 6.90 Mn |
| Jul 29, 2018 | 9.10 Mn |
| Apr 29, 2018 | 7.54 Mn |
| Oct 29, 2017 | 3.16 Mn |
API Access
Photronics Prepaid 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=prepaid-assets&ticker=PLAB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-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=prepaid-assets&ticker=PLAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();