Photronics (PLAB) Restructuring Costs (2012)
Photronics' Restructuring Costs was $200,000 in fiscal Q4 2012 (quarter ended Oct 28, 2012).
Analysis
Photronics (PLAB) Restructuring Costs (2012) Analysis & Trends
For FY2012 (ended Oct 28, 2012), Restructuring Costs at Photronics came in at $1.43 million.
- Restructuring Costs shows a three-year compound annual growth rate of -48.6% (FY2009 to FY2012).
- In earlier fiscal years, Restructuring Costs was -$4.98 million in FY2010 and $10.51 million in FY2009.
- Quarterly Restructuring Costs has moved between $7,000 (fiscal Q3 2012) and $1.1 million (fiscal Q1 2012) over five years.
- Per Business Quant data, PLAB's Restructuring Costs in the three fiscal quarters before Q4 2012 was $7,000 (Q3 2012), $100,000 (Q2 2012) and $1.1 million (Q1 2012).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,235.65 Bn | 5,009.82 Bn | 72.14 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 |
| 4 | Micron Technology | 1,011.16 Bn | 916.79 Bn | 47.05 Bn |
| 5 | Advanced Micro Devices | 874.75 Bn | 831.50 Bn | 6.20 Bn |
| 6 | Asml Holding | 634.65 Bn | 590.34 Bn | 5.90 Bn |
| 7 | Intel | 469.01 Bn | 338.14 Bn | 6.51 Bn |
| 8 | Lam Research | 331.52 Bn | 308.31 Bn | 3.48 Bn |
| 9 | Applied Materials | 321.88 Bn | 287.32 Bn | 4.59 Bn |
| 10 | Photronics | 1.67 Bn | -868.63 Mn | 71.73 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Oct 28, 2012 | 200,000.00 |
| Jul 29, 2012 | 7,000.00 |
| Apr 29, 2012 | 100,000.00 |
| Jan 29, 2012 | 1.10 Mn |
API Access
Photronics Restructuring Costs 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=restructuring-costs&ticker=PLAB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=PLAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();