Photronics (PLAB) Long-Term Investments (2010 - 2016)
Photronics (PLAB) recorded Long-Term Investments of $92.91 million in fiscal Q2 2016 (quarter ended May 1, 2016), down 0.2% from $93.06 million a year earlier and unchanged from the prior quarter.
Powered by 
Analysis
Photronics (PLAB) Long-Term Investments (2010 - 2016) Analysis & Trends
At the end of FY2015 (ended Nov 1, 2015), Photronics reported Long-Term Investments of $93.02 million, down 0.1% from FY2014.
- Annual Long-Term Investments has a five-year compound annual growth rate of 8.8% (FY2010 to FY2015).
- Across earlier fiscal years, Long-Term Investments came in at $93.12 million in FY2014 (unchanged), $93.12 million in FY2013 (-0.1%), $93.25 million in FY2012 (+16.6%) and $79.98 million in FY2011 (+30.8%).
- The fiscal Q2 2016 figure is the lowest quarterly Long-Term Investments since fiscal Q2 2012.
- On a year-over-year basis, Long-Term Investments has declined for four consecutive quarters, with an average decline of 0.1% over the last eight quarters.
- Peak year-over-year performance for Long-Term Investments in the last five years was growth of 30.8% in fiscal Q4 2011, against a decline of 0.3% in fiscal Q3 2013 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $92.93 million (Q1 2016), $93.02 million (Q4 2015) and $93.04 million (Q3 2015).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (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 | 568.83 Mn |
| 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 | 30.02 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 | 1.55 Bn |
| 7 | Intel | 474.60 Bn | 343.73 Bn | 6.51 Bn | 8.41 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 | 5.27 Bn |
| 10 | Photronics | 1.68 Bn | -854.37 Mn | 71.73 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 1, 2016 | 92.91 Mn |
| Jan 31, 2016 | 92.93 Mn |
| Nov 1, 2015 | 93.02 Mn |
| Aug 2, 2015 | 93.04 Mn |
| May 3, 2015 | 93.06 Mn |
| Feb 1, 2015 | 93.08 Mn |
| Nov 2, 2014 | 93.12 Mn |
| Aug 3, 2014 | 93.14 Mn |
| May 4, 2014 | 93.09 Mn |
| Feb 2, 2014 | 93.10 Mn |
| Nov 3, 2013 | 93.12 Mn |
| Jul 28, 2013 | 93.03 Mn |
| Apr 28, 2013 | 93.05 Mn |
| Jan 27, 2013 | 93.09 Mn |
| Oct 28, 2012 | 93.25 Mn |
| Jul 29, 2012 | 93.27 Mn |
| Apr 29, 2012 | 85.83 Mn |
| Jan 29, 2012 | 80.37 Mn |
| Oct 30, 2011 | 79.98 Mn |
| Jul 31, 2011 | 72.50 Mn |
API Access
Photronics Long-Term Investments 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=long-term-investments&ticker=PLAB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "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=long-term-investments&ticker=PLAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();