Target (TGT) Exchange Rate Effect (2011 - 2014)
Target (TGT) posted Exchange Rate Effect of -$1 million for fiscal Q4 2015 (quarter ended Jan 31, 2015), compared with $22 million a year earlier.
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Analysis
Target (TGT) Exchange Rate Effect (2011 - 2014) Analysis & Trends
For FY2014 (ended Feb 1, 2014), Target's Exchange Rate Effect came in at $26 million, up 225.0% from FY2013.
- In prior fiscal years, Target's Exchange Rate Effect was $8 million in FY2013 and -$32 million in FY2012.
- Quarterly Exchange Rate Effect has run from a low of -$6 million in fiscal Q4 2012 to a high of $22 million in fiscal Q4 2014 over five years.
- According to Business Quant data, Exchange Rate Effect for the three prior fiscal quarters was -$2 million (Q3 2015), -$6 million (Q2 2015) and $9 million (Q1 2015).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,979.57 Bn | 2,476.24 Bn | 107.37 Bn | 72.00 Mn |
| 2 | Home Depot | 350.34 Bn | 343.58 Bn | 16.12 Bn | -16.00 Mn |
| 3 | Tjx Companies | 150.76 Bn | 128.31 Bn | 5.07 Bn | -26.00 Mn |
| 4 | Lowes Companies | 130.11 Bn | 123.07 Bn | 8.58 Bn | - |
| 5 | Carvana | 80.38 Bn | 71.27 Bn | 1.52 Bn | - |
| 6 | Ross Stores | 76.38 Bn | 59.31 Bn | 2.12 Bn | - |
| 7 | Target | 73.52 Bn | 68.11 Bn | 8.94 Bn | - |
| 8 | O Reilly Automotive | 71.92 Bn | 71.02 Bn | 2.68 Bn | -244,000.00 |
| 9 | Autozone | 52.04 Bn | 50.89 Bn | 3.52 Bn | 11.91 Mn |
| 10 | JD.com | 34.34 Bn | -76.55 Bn | 8.74 Bn | -178.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Nov 1, 2014 | -2.00 Mn |
| Aug 2, 2014 | -6.00 Mn |
| May 3, 2014 | 9.00 Mn |
| Dec 31, 2013 | 22.00 Mn |
| Aug 3, 2013 | 3.00 Mn |
| May 4, 2013 | 1.00 Mn |
| Oct 27, 2012 | 1.00 Mn |
| Jul 28, 2012 | 5.00 Mn |
| Apr 28, 2012 | 1.00 Mn |
| Dec 31, 2011 | -32.00 Mn |
API Access
Target 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=TGT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "TGT", "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=TGT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();