Zeo ScientifiX (ZEOX) Exchange Rate Effect (2012 - 2015)
Zeo ScientifiX's Exchange Rate Effect came in at -$1,611 for fiscal Q2 2015 (quarter ended Apr 30, 2015).
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Analysis
Zeo ScientifiX (ZEOX) Exchange Rate Effect (2012 - 2015) Analysis & Trends
For FY2014 (ended Oct 31, 2014), Zeo ScientifiX's Exchange Rate Effect was $2,222, up 41.5% from FY2013.
- Going back by fiscal year, Exchange Rate Effect was $1,570 in FY2013 and -$997.00 in FY2012.
- The fiscal Q2 2015 figure represents the lowest quarterly Exchange Rate Effect since fiscal Q3 2013.
- Business Quant data shows ZEOX's Exchange Rate Effect at $3,469 (Q1 2015), $2,454 (Q4 2014) and $507.00 (Q3 2014) in the three fiscal quarters before Q2 2015.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 5.00 Mn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | -7.00 Mn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | -37.00 Mn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | -18.00 Mn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 9.00 Mn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | - |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | -19.00 Mn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | -4.00 Mn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | -3.70 Mn |
| 10 | Zeo ScientifiX | 9.19 Mn | 5.78 Mn | 2.06 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2015 | -1,611.00 |
| Jan 31, 2015 | 3,469.00 |
| Oct 31, 2014 | 2,454.00 |
| Jul 31, 2014 | 507.00 |
| Oct 31, 2013 | -803.00 |
| Jul 31, 2013 | -3,203.00 |
| Apr 30, 2013 | 3,409.00 |
| Jan 31, 2013 | 2,167.00 |
| Oct 31, 2012 | -997.00 |
| Jul 31, 2012 | 934.00 |
| Apr 30, 2012 | -67.00 |
| Jan 31, 2012 | -867.00 |
API Access
Zeo ScientifiX 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=ZEOX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "ZEOX", "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=ZEOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();