Intel (INTC) Exchange Rate Effect (2011 - 2015)
Intel (INTC) recorded Exchange Rate Effect of $1 million in FY2015, compared with -$15 million in FY2014.
Analysis
Intel (INTC) Exchange Rate Effect (2011 - 2015) Analysis & Trends
Starting with FY2011, Intel's Exchange Rate Effect history includes 5 years.
- Annual Exchange Rate Effect has a four-year compound annual growth rate of -33.1% (FY2011 to FY2015).
- The FY2015 figure is the highest annual Exchange Rate Effect since FY2011.
- Per Business Quant data, INTC's Exchange Rate Effect was -$15 million in FY2014, -$9 million in FY2013, -$3 million in FY2012 and $5 million in FY2011.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (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 | -231.60 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 | 3.00 Mn |
| 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 | - |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | - |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | -2.06 Mn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | - |
| 10 | Arm Holdings | 326.25 Bn | 311.96 Bn | 1.25 Bn | -2.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2015 | 10.00 Mn |
| Mar 28, 2015 | -9.00 Mn |
| Dec 27, 2014 | -10.00 Mn |
| Sep 27, 2014 | -6.00 Mn |
| Mar 29, 2014 | 1.00 Mn |
| Dec 28, 2013 | -2.00 Mn |
| Sep 28, 2013 | 1.00 Mn |
| Jun 29, 2013 | 2.00 Mn |
| Mar 30, 2013 | -10.00 Mn |
| Dec 29, 2012 | -3.00 Mn |
| Sep 29, 2012 | 6.00 Mn |
| Jun 30, 2012 | -4.00 Mn |
| Mar 31, 2012 | -2.00 Mn |
| Dec 31, 2011 | -5.00 Mn |
| Oct 1, 2011 | -3.00 Mn |
| Jul 2, 2011 | 4.00 Mn |
| Apr 2, 2011 | 9.00 Mn |
API Access
Intel Exchange Rate Effect 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=exchange-rate-effect&ticker=INTC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "INTC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=exchange-rate-effect&ticker=INTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();