Target (TGT) Exchange Rate Effect (2012 - 2015)
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.
Target (TGT) Exchange Rate Effect (2012 - 2015) 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 Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,659.84 Bn | 2,176.54 Bn | 104.83 Bn | -53.00 Mn |
| 2 | Home Depot | 287.59 Bn | 280.83 Bn | 16.12 Bn | -16.00 Mn |
| 3 | Tjx Companies | 147.38 Bn | 124.93 Bn | 5.07 Bn | -26.00 Mn |
| 4 | Lowes Companies | 105.03 Bn | 97.99 Bn | 8.58 Bn | - |
| 5 | Ross Stores | 74.93 Bn | 57.86 Bn | 2.12 Bn | - |
| 6 | Target | 71.05 Bn | 65.64 Bn | 8.94 Bn | - |
| 7 | O Reilly Automotive | 70.25 Bn | 69.33 Bn | 2.52 Bn | 680,000.00 |
| 8 | Carvana | 69.96 Bn | 61.56 Bn | 1.38 Bn | - |
| 9 | Autozone | 46.92 Bn | 45.82 Bn | 2.52 Bn | -503,000.00 |
| 10 | JD.com | 31.91 Bn | -78.27 Bn | 8.71 Bn | -178.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jan 31, 2015 | -1.00 Mn |
| Nov 1, 2014 | -2.00 Mn |
| Aug 2, 2014 | -6.00 Mn |
| May 3, 2014 | 9.00 Mn |
| Feb 1, 2014 | 22.00 Mn |
| Aug 3, 2013 | 3.00 Mn |
| May 4, 2013 | 1.00 Mn |
| Feb 2, 2013 | 1.00 Mn |
| Oct 27, 2012 | 1.00 Mn |
| Jul 28, 2012 | 5.00 Mn |
| Apr 28, 2012 | 1.00 Mn |
| Jan 28, 2012 | -6.00 Mn |
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_KEY
import 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();