Synaptics (SYNA) Long-Term Investments (2010 - 2014)
Synaptics' Long-Term Investments was $17.86 million in fiscal Q1 2015 (quarter ended Sep 30, 2014), up 1.8% from $17.54 million a year earlier but down 9.7% from the prior quarter.
Synaptics (SYNA) Long-Term Investments (2010 - 2014) Analysis & Trends
At the end of FY2014 (ended Jun 28, 2014), Long-Term Investments at Synaptics came in at $19.79 million, up 16.6% from FY2013.
- Long-Term Investments shows a four-year compound annual growth rate of -8.3% (FY2010 to FY2014).
- In earlier fiscal years, Long-Term Investments was $16.97 million in FY2013 (+10.8%), $15.32 million in FY2012 (-40.8%), $25.88 million in FY2011 (-7.6%) and $28.01 million in FY2010.
- Quarterly Long-Term Investments has moved between $14.45 million (fiscal Q1 2013) and $29.08 million (fiscal Q3 2011) over five years.
- Compared with a year earlier, Long-Term Investments has increased for six straight quarters, with growth averaging 5.7% over the last eight quarters.
- The best year-over-year quarter for Long-Term Investments over five years was fiscal Q2 2014 (growth of 21.7%); the worst was fiscal Q4 2012 (a decline of 40.8%).
- Per Business Quant data, SYNA's Long-Term Investments in the three fiscal quarters before Q1 2015 was $19.79 million (Q4 2014), $18.57 million (Q3 2014) and $18.26 million (Q2 2014).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | - |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 573.49 Mn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | - |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 4.11 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | - |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | 957.54 Mn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 8.41 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | - |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 5.27 Bn |
| 10 | Synaptics | 4.73 Bn | 2.99 Bn | 145.80 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2014 | 17.86 Mn |
| Jun 28, 2014 | 19.79 Mn |
| Mar 31, 2014 | 18.57 Mn |
| Dec 31, 2013 | 18.26 Mn |
| Sep 30, 2013 | 17.54 Mn |
| Jun 29, 2013 | 16.97 Mn |
| Mar 31, 2013 | 15.80 Mn |
| Dec 31, 2012 | 15.01 Mn |
| Sep 30, 2012 | 14.45 Mn |
| Jun 30, 2012 | 15.32 Mn |
| Mar 31, 2012 | 18.09 Mn |
| Dec 31, 2011 | 21.92 Mn |
| Sep 30, 2011 | 23.81 Mn |
| Jun 25, 2011 | 25.88 Mn |
| Mar 31, 2011 | 29.08 Mn |
| Dec 31, 2010 | 28.45 Mn |
| Sep 30, 2010 | 28.36 Mn |
| Jun 26, 2010 | 28.01 Mn |
Synaptics 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=SYNA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "ticker": "SYNA", "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=SYNA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();