Nli Holdings (NL) Exchange Rate Effect (2010 - 2012)
Nli Holdings (NL) posted Exchange Rate Effect of $130,000 for Q4 2012, compared with -$68,000 a year earlier.
Analysis
Nli Holdings (NL) Exchange Rate Effect (2010 - 2012) Analysis & Trends
For FY2012, Nli Holdings' Exchange Rate Effect came in at $176,000.
- Annual Exchange Rate Effect shows a three-year compound annual growth rate of -9.6% (FY2009 to FY2012).
- In prior years, Nli Holdings' Exchange Rate Effect was -$313,000 in FY2011, $447,000 in FY2010 (+87.8%) and $238,000 in FY2009.
- The Q4 2012 figure stands as the highest quarterly Exchange Rate Effect since Q4 2010.
- According to Business Quant data, Exchange Rate Effect for the three prior quarters was -$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 | 376.87 Bn | 348.57 Bn | 7.76 Bn | 20.00 Mn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 30.10 Mn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | -74.00 Mn |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | -1.00 Mn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 4.00 Mn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 3.50 Mn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | -12.00 Mn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 8.00 Mn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | 6.00 Mn |
| 10 | Nli Holdings | 342.53 Mn | -73.46 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
Nli Holdings 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=NL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "NL", "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=NL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();