Compx International (CIX) Exchange Rate Effect (2010 - 2012)
Compx International (CIX) reported Exchange Rate Effect of $130,000 for Q4 2012, compared with -$68,000 a year earlier.
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Analysis
Compx International (CIX) Exchange Rate Effect (2010 - 2012) Analysis & Trends
For FY2012, Compx International posted Exchange Rate Effect of $176,000.
- Exchange Rate Effect has a three-year compound annual growth rate of -9.6% (FY2009 to FY2012).
- By year, Exchange Rate Effect came in at -$313,000 in FY2011, $447,000 in FY2010 (+87.8%) and $238,000 in FY2009.
- The Q4 2012 figure ranks as the highest quarterly Exchange Rate Effect since Q4 2010.
- Per Business Quant data, the three quarters before Q4 2012 came in at -$26,000 (Q3 2012), -$39,000 (Q2 2012) and $111,000 (Q1 2012).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 338.40 Bn | 310.10 Bn | 7.76 Bn | 20.00 Mn |
| 2 | Amphenol | 197.43 Bn | 192.01 Bn | 3.55 Bn | 30.10 Mn |
| 3 | Deere | 170.03 Bn | 138.13 Bn | 4.66 Bn | -74.00 Mn |
| 4 | Eaton | 152.39 Bn | 149.58 Bn | 2.86 Bn | -1.00 Mn |
| 5 | Parker-Hannifin | 120.20 Bn | 118.32 Bn | 2.25 Bn | 4.00 Mn |
| 6 | Emerson Electric | 90.58 Bn | 83.32 Bn | 2.66 Bn | -12.00 Mn |
| 7 | 3M | 88.69 Bn | 70.09 Bn | 2.68 Bn | 8.00 Mn |
| 8 | Vertiv Holdings | 82.99 Bn | 73.61 Bn | 1.23 Bn | 3.50 Mn |
| 9 | Illinois Tool Works | 79.01 Bn | 75.57 Bn | 1.90 Bn | 6.00 Mn |
| 10 | Compx International | 447.42 Mn | 245.20 Mn | 15.54 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2012 | 130,000.00 |
| Sep 30, 2012 | -26,000.00 |
| Jun 30, 2012 | -39,000.00 |
| Mar 31, 2012 | 111,000.00 |
| Dec 31, 2011 | -68,000.00 |
| Sep 30, 2011 | -240,000.00 |
| Jun 30, 2011 | 23,000.00 |
| Mar 31, 2011 | -28,000.00 |
| Dec 31, 2010 | 262,000.00 |
| Sep 30, 2010 | 99,000.00 |
API Access
Compx International 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=CIX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "CIX", "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=CIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();