Xeriant (XERI) Exchange Rate Effect (2013 - 2015)
Xeriant's Exchange Rate Effect was $81,844 in fiscal Q4 2015 (quarter ended Jun 30, 2015), compared with $44.00 a year earlier.
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Analysis
Xeriant (XERI) Exchange Rate Effect (2013 - 2015) Analysis & Trends
For FY2015 (ended Jun 30, 2015), Exchange Rate Effect at Xeriant came in at $43,686.
- Exchange Rate Effect shows a three-year compound annual growth rate of 767.1% (FY2012 to FY2015).
- In earlier fiscal years, Exchange Rate Effect was -$3,138 in FY2014, -$1,338 in FY2013 and $67.00 in FY2012.
- The fiscal Q4 2015 figure marks the highest quarterly Exchange Rate Effect in data going back to fiscal Q1 2014.
- Per Business Quant data, XERI's Exchange Rate Effect in the three fiscal quarters before Q4 2015 was -$61,777 (Q3 2015), $24,810 (Q2 2015) and -$1,191 (Q1 2015).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 100.25 Bn | 94.99 Bn | 2.26 Bn | 200,000.00 |
| 2 | Johnson Controls International | 90.55 Bn | 88.31 Bn | 2.47 Bn | -1.00 Mn |
| 3 | Comfort Systems Usa | 58.58 Bn | 53.83 Bn | 844.23 Mn | - |
| 4 | Carrier Global | 45.65 Bn | 40.28 Bn | 1.94 Bn | 3.00 Mn |
| 5 | Otis Worldwide | 24.99 Bn | 21.59 Bn | 1.14 Bn | -4.00 Mn |
| 6 | James Hardie Industries | 14.56 Bn | 13.29 Bn | 548.70 Mn | -1.40 Mn |
| 7 | Masco | 13.48 Bn | 11.59 Bn | 868.00 Mn | 1.00 Mn |
| 8 | Allegion | 13.22 Bn | 11.93 Bn | 517.50 Mn | -1.20 Mn |
| 9 | Carlisle Companies | 12.96 Bn | 9.31 Bn | 568.40 Mn | -300,000.00 |
| 10 | Xeriant | 8.68 Mn | 5.56 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2015 | 81,844.00 |
| Mar 31, 2015 | -61,777.00 |
| Dec 31, 2014 | 24,810.00 |
| Sep 30, 2014 | -1,191.00 |
| Jun 30, 2014 | 44.00 |
| Mar 31, 2014 | -1,111.00 |
| Dec 31, 2013 | -2,091.00 |
| Sep 30, 2013 | 20.00 |
API Access
Xeriant 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=XERI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "XERI", "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=XERI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();