Photronics (PLAB) Cash & Equivalents (2010 - 2026)
Photronics' Cash & Equivalents was $549.51 million in fiscal Q3 2026 (quarter ended Aug 2, 2026), up 14.6% from $479.52 million a year earlier and up 7.4% from the prior quarter.
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Analysis
Photronics (PLAB) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 31, 2025), Cash & Equivalents at Photronics came in at $492.26 million, down 17.7% from FY2024.
- Cash & Equivalents shows a five-year compound annual growth rate of 12.1% (FY2020 to FY2025).
- In earlier fiscal years, Cash & Equivalents was $598.49 million in FY2024 (+19.9%), $499.29 million in FY2023 (+54.9%), $322.41 million in FY2022 (+16.5%) and $276.67 million in FY2021 (-0.7%).
- The fiscal Q3 2026 figure marks the highest quarterly Cash & Equivalents since fiscal Q1 2025.
- Compared with a year earlier, Cash & Equivalents was higher in four of the last eight quarters, with growth averaging 2.6%.
- The best year-over-year quarter for Cash & Equivalents over five years was fiscal Q4 2023 (growth of 54.9%); the worst was fiscal Q4 2025 (a decline of 17.7%).
- Per Business Quant data, PLAB's Cash & Equivalents in the three fiscal quarters before Q3 2026 was $511.49 million (Q2 2026), $544.13 million (Q1 2026) and $492.26 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,114.26 Bn | 4,888.42 Bn | 72.14 Bn | 22.44 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,138.81 Bn | 1,764.99 Bn | 27.22 Bn | 98.36 Bn |
| 3 | Broadcom | 1,543.15 Bn | 1,469.19 Bn | 20.46 Bn | 23.98 Bn |
| 4 | Micron Technology | 968.69 Bn | 874.33 Bn | 47.05 Bn | 38.36 Bn |
| 5 | Advanced Micro Devices | 828.94 Bn | 785.69 Bn | 6.20 Bn | 5.09 Bn |
| 6 | Asml Holding | 601.46 Bn | 557.15 Bn | 5.90 Bn | 15.17 Bn |
| 7 | Intel | 431.13 Bn | 315.86 Bn | 6.51 Bn | 12.87 Bn |
| 8 | Applied Materials | 298.06 Bn | 263.50 Bn | 4.59 Bn | 7.04 Bn |
| 9 | Lam Research | 287.49 Bn | 263.54 Bn | 4.30 Bn | 7.44 Bn |
| 10 | Photronics | 1.62 Bn | -448.87 Mn | 71.73 Mn | 549.51 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 549.51 Mn |
| May 3, 2026 | 511.49 Mn |
| Feb 1, 2026 | 544.13 Mn |
| Oct 31, 2025 | 492.26 Mn |
| Aug 3, 2025 | 479.52 Mn |
| May 4, 2025 | 530.71 Mn |
| Feb 2, 2025 | 642.20 Mn |
| Oct 31, 2024 | 598.49 Mn |
| Jul 28, 2024 | 537.33 Mn |
| Apr 28, 2024 | 493.91 Mn |
| Jan 28, 2024 | 508.52 Mn |
| Oct 31, 2023 | 499.29 Mn |
| Jul 30, 2023 | 448.48 Mn |
| Apr 30, 2023 | 367.49 Mn |
| Jan 29, 2023 | 334.79 Mn |
| Oct 31, 2022 | 322.41 Mn |
| Jul 31, 2022 | 380.83 Mn |
| May 1, 2022 | 329.28 Mn |
| Jan 30, 2022 | 314.20 Mn |
| Oct 31, 2021 | 276.67 Mn |
API Access
Photronics Cash & Equivalents 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=cash-and-equivalents&ticker=PLAB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=PLAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();