All Things Mobile Analytic, Inc. (ATMH) Operating Expenses (2011 - 2014)
All Things Mobile Analytic's Operating Expenses came in at $16,100 for fiscal Q1 2015 (quarter ended Apr 30, 2014), up 84.8% from $8,712 a year earlier but down 20.2% from the prior quarter.
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All Things Mobile Analytic, Inc. (ATMH) Operating Expenses (2011 - 2014) Analysis & Trends
Over the trailing twelve months to Apr 30, 2014, All Things Mobile Analytic reported Operating Expenses of $82,965, down 53.0% year-over-year; for FY2014 (ended Jan 31, 2014), it came in at $75,577, down 95.4% from FY2013.
- Going back by fiscal year, Operating Expenses was $1.64 million in FY2013 (+349.8%) and $363,865 in FY2012.
- The five-year range for quarterly Operating Expenses is $8,712 (fiscal Q1 2014) to $1.47 million (fiscal Q1 2013).
- Year-over-year, Operating Expenses increased in two of the last eight quarters, with an average decline of 24.8%.
- The fastest year-over-year change in Operating Expenses over five years came in fiscal Q2 2013 (growth of 126.1%), and the weakest in fiscal Q1 2014 (a decline of 99.4%).
- Business Quant data shows ATMH's Operating Expenses at $20,163 (Q4 2014), $14,702 (Q3 2014) and $32,000 (Q2 2014) in the three fiscal quarters before Q1 2015.
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Historic Data
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Historic Data
| Date | Value |
|---|---|
| Apr 30, 2014 | 16,100.00 |
| Jan 31, 2014 | 20,163.00 |
| Oct 31, 2013 | 14,702.00 |
| Jul 31, 2013 | 32,000.00 |
| Apr 30, 2013 | 8,712.00 |
| Jan 31, 2013 | 83,197.00 |
| Oct 31, 2012 | 29,995.00 |
| Jul 31, 2012 | 54,657.00 |
| Apr 30, 2012 | 1.47 Mn |
| Jan 31, 2012 | 232,225.00 |
| Oct 31, 2011 | 131,640.00 |
| Jul 31, 2011 | 24,174.00 |
API Access
All Things Mobile Analytic, Inc. Operating Expenses 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=operating-expenses&ticker=ATMH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ATMH", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=ATMH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();