Photronics (PLAB) Change in Inventory (2010 - 2026)
Photronics' Change in Inventory came in at -$3.24 million for fiscal Q3 2026 (quarter ended Aug 2, 2026), compared with $1.4 million a year earlier.
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Analysis
Photronics (PLAB) Change in Inventory (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 2, 2026, Photronics reported Change in Inventory of $1.86 million, down 71.2% year-over-year; for FY2025 (ended Oct 31, 2025), it was $4.94 million, down 19.7% from FY2024.
- Change in Inventory carries a five-year compound annual growth rate of -6.6% (FY2020 to FY2025).
- Going back by fiscal year, Change in Inventory was $6.15 million in FY2024, -$1.24 million in FY2023, $2.04 million in FY2022 and -$2.99 million in FY2021.
- The fiscal Q3 2026 figure represents the lowest quarterly Change in Inventory since fiscal Q4 2023.
- Year-over-year, Change in Inventory increased in two of the last four quarters, with growth averaging 7.2%.
- The fastest year-over-year change in Change in Inventory over five years came in fiscal Q4 2021 (growth of 166.4%), and the weakest in fiscal Q1 2026 (a decline of 61.2%).
- Business Quant data shows PLAB's Change in Inventory at $5.27 million (Q2 2026), $982,000 (Q1 2026) and -$1.15 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,235.65 Bn | 5,009.82 Bn | 72.14 Bn | 5.78 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,206.84 Bn | 1,831.70 Bn | 27.22 Bn | -2.34 Bn |
| 3 | Broadcom | 1,595.23 Bn | 1,521.27 Bn | 20.46 Bn | 195.00 Mn |
| 4 | Micron Technology | 1,011.16 Bn | 916.79 Bn | 47.05 Bn | 1.81 Bn |
| 5 | Advanced Micro Devices | 874.75 Bn | 831.50 Bn | 6.20 Bn | 423.00 Mn |
| 6 | Asml Holding | 634.65 Bn | 590.34 Bn | 5.90 Bn | - |
| 7 | Intel | 469.01 Bn | 338.14 Bn | 6.51 Bn | 66.00 Mn |
| 8 | Lam Research | 331.52 Bn | 308.31 Bn | 3.48 Bn | - |
| 9 | Applied Materials | 321.88 Bn | 287.32 Bn | 4.59 Bn | 208.00 Mn |
| 10 | Photronics | 1.67 Bn | -868.63 Mn | 71.73 Mn | -3.24 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | -3.24 Mn |
| May 3, 2026 | 5.27 Mn |
| Feb 1, 2026 | 982,000.00 |
| Oct 31, 2025 | -1.15 Mn |
| Aug 3, 2025 | 1.40 Mn |
| May 4, 2025 | 2.16 Mn |
| Feb 2, 2025 | 2.53 Mn |
| Oct 31, 2024 | 366,000.00 |
| Jul 28, 2024 | 1.38 Mn |
| Apr 28, 2024 | 4.82 Mn |
| Jan 28, 2024 | -409,000.00 |
| Oct 31, 2023 | -3.93 Mn |
| Jul 30, 2023 | 788,000.00 |
| Apr 30, 2023 | 3.61 Mn |
| Jan 29, 2023 | -1.71 Mn |
| Oct 31, 2022 | 3.61 Mn |
| Jul 31, 2022 | -6.65 Mn |
| May 1, 2022 | -1.94 Mn |
| Jan 30, 2022 | 7.02 Mn |
| Oct 31, 2021 | 2.09 Mn |
API Access
Photronics Change in Inventory 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-inventory&ticker=PLAB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "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-inventory&ticker=PLAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();