Photronics (PLAB) Capital Expenditures (2010 - 2026)
Photronics (PLAB) reported Capital Expenditures of $36.97 million for fiscal Q3 2026 (quarter ended Aug 2, 2026), up 48.9% from $24.84 million a year earlier but down 19.3% from the prior quarter.
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Analysis
Photronics (PLAB) Capital Expenditures (2010 - 2026) Analysis & Trends
Over the twelve months ended Aug 2, 2026, Photronics' Capital Expenditures came in at $197.96 million, up 20.9% year-over-year; for FY2025 (ended Oct 31, 2025), it came in at $188.14 million, up 43.7% from FY2024.
- Capital Expenditures has a five-year compound annual growth rate of 21.6% (FY2020 to FY2025).
- By fiscal year, Capital Expenditures came in at $130.94 million in FY2024 (-0.3%), $131.3 million in FY2023 (+16.9%), $112.34 million in FY2022 (+3.0%) and $109.1 million in FY2021 (+54.1%).
- Five-year quarterly Capital Expenditures spans a low of $11.53 million in fiscal Q3 2022 and a high of $67.55 million in fiscal Q4 2025.
- Year over year, Capital Expenditures gained in five of the last eight quarters, with growth averaging 35.5%.
- The high point for year-over-year Capital Expenditures in five years was fiscal Q4 2022 (growth of 292.9%); the low point was fiscal Q2 2022 (a decline of 72.1%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $45.8 million (Q2 2026), $47.64 million (Q1 2026) and $67.55 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,235.65 Bn | 5,009.82 Bn | 72.14 Bn | 2.68 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,206.84 Bn | 1,831.70 Bn | 27.22 Bn | - |
| 3 | Broadcom | 1,595.23 Bn | 1,521.27 Bn | 20.46 Bn | 532.00 Mn |
| 4 | Micron Technology | 1,011.16 Bn | 916.79 Bn | 47.05 Bn | 11.11 Bn |
| 5 | Advanced Micro Devices | 874.75 Bn | 831.50 Bn | 6.20 Bn | 808.00 Mn |
| 6 | Asml Holding | 634.65 Bn | 590.34 Bn | 5.90 Bn | - |
| 7 | Intel | 469.01 Bn | 338.14 Bn | 6.51 Bn | 2.56 Bn |
| 8 | Lam Research | 331.52 Bn | 308.31 Bn | 3.48 Bn | 188.80 Mn |
| 9 | Applied Materials | 321.88 Bn | 287.32 Bn | 4.59 Bn | 707.00 Mn |
| 10 | Photronics | 1.67 Bn | -868.63 Mn | 71.73 Mn | 36.97 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 36.97 Mn |
| May 3, 2026 | 45.80 Mn |
| Feb 1, 2026 | 47.64 Mn |
| Oct 31, 2025 | 67.55 Mn |
| Aug 3, 2025 | 24.84 Mn |
| May 4, 2025 | 60.55 Mn |
| Feb 2, 2025 | 35.20 Mn |
| Oct 31, 2024 | 43.21 Mn |
| Jul 28, 2024 | 24.42 Mn |
| Apr 28, 2024 | 20.00 Mn |
| Jan 28, 2024 | 43.31 Mn |
| Oct 31, 2023 | 52.48 Mn |
| Jul 30, 2023 | 21.09 Mn |
| Apr 30, 2023 | 26.63 Mn |
| Jan 29, 2023 | 31.10 Mn |
| Oct 31, 2022 | 66.00 Mn |
| Jul 31, 2022 | 11.53 Mn |
| May 1, 2022 | 15.63 Mn |
| Jan 30, 2022 | 19.18 Mn |
| Oct 31, 2021 | 16.80 Mn |
API Access
Photronics Capital Expenditures 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=capital-expenditures&ticker=PLAB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=PLAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();