HMNY (Helios and Matheson Analytics) Inventory Turnover: 0.00 (As of Sep. 2018)


What is Helios and Matheson Analytics Inventory Turnover?

Helios and Matheson Analytics HMNY -90.00% Inventory Turnover is 0.00 as of Sep. 2018.

Inventory Turnover measures how fast the company turns over its inventory within a year. It is calculated as Cost of Goods Sold divided by Total Inventories. Helios and Matheson Analytics's Cost of Goods Sold for the three months ended in Sep. 2018 was $109.6 Mil. Helios and Matheson Analytics's Average Total Inventories for the quarter that ended in Sep. 2018 was $0.0 Mil.

Days Inventory indicates the number of days of goods in sales that a company has in the inventory. Helios and Matheson Analytics's Days Inventory for the three months ended in Sep. 2018 was 0.00.

Inventory-to-Revenue determines the ability of a company to manage their inventory levels. It measures the percentage of Inventories the company currently has on hand to support the current amount of Revenue. Helios and Matheson Analytics's Inventory-to-Revenue for the quarter that ended in Sep. 2018 was 0.00.


Helios and Matheson Analytics  (OTCPK:HMNY) Inventory Turnover Explanation

Inventory Turnover measures how fast the company turns over its inventory within a year. A higher Inventory Turnover means the company has light inventory. Therefore the company spends less money on storage, write downs, and obsolete inventory. If the inventory is too light, it may affect sales because the company may not have enough to meet demand.

1. Days Inventory indicates the number of days of goods in sales that a company has in the inventory.

Helios and Matheson Analytics's Days Inventory for the three months ended in Sep. 2018 is calculated as:

Days Inventory =Average Total Inventories (Q: Sep. 2018 )/Cost of Goods Sold (Q: Sep. 2018 )*Days in Period
=0/109.635*365 / 4
=0.00

2. Inventory-to-Revenue determines the ability of a company to manage their inventory levels. It measures the percentage of Inventories the company currently has on hand to support the current amount of Revenue.

Helios and Matheson Analytics's Inventory to Revenue for the quarter that ended in Sep. 2018 is calculated as

Inventory-to-Revenue=Average Total Inventories (Q: Sep. 2018 ) / Revenue (Q: Sep. 2018 )
=0 / 74.702
=0.00

* For Operating Data section: All numbers are indicated by the unit behind each term and all currency related amount are in USD.
* For other sections: All numbers are in millions except for per share data, ratio, and percentage. All currency related amount are indicated in the company's associated stock exchange currency.


Be Aware

Usually retailers pile up their inventories at holiday seasons to meet the stronger demand. Therefore, the inventory of a particular quarter of a year should not be used to calculate Inventory Turnover. An average inventory is a better indication.


Helios and Matheson Analytics Inventory Turnover Related Terms


Helios and Matheson Analytics Inventory Turnover Historical Data

* Premium members only.

The historical data trend for Helios and Matheson Analytics's Inventory Turnover can be seen below:

* For Operating Data section: All numbers are indicated by the unit behind each term and all currency related amount are in USD.
* For other sections: All numbers are in millions except for per share data, ratio, and percentage. All currency related amount are indicated in the company's associated stock exchange currency.

Helios and Matheson Analytics Inventory Turnover Chart

Helios and Matheson Analytics Annual Data
Trend Dec08 Dec09 Dec10 Dec11 Dec12 Dec13 Dec14 Dec15 Dec16 Dec17
Inventory Turnover
Get a 7-Day Free Trial Premium Member Only Premium Member Only 0.00 0.00 0.00 0.00 0.00

Helios and Matheson Analytics Quarterly Data
Dec13 Mar14 Jun14 Sep14 Dec14 Mar15 Jun15 Sep15 Dec15 Mar16 Jun16 Sep16 Dec16 Mar17 Jun17 Sep17 Dec17 Mar18 Jun18 Sep18
Inventory Turnover Get a 7-Day Free Trial Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only 0.00 0.00 0.00 0.00 0.00

Helios and Matheson Analytics Inventory Turnover Calculation

Helios and Matheson Analytics's Inventory Turnover for the fiscal year that ended in Dec. 2017 is calculated as

Inventory Turnover (A: Dec. 2017 )
=Cost of Goods Sold / Average Total Inventories
=Cost of Goods Sold (A: Dec. 2017 ) / ((Total Inventories (A: Dec. 2016 ) + Total Inventories (A: Dec. 2017 )) / count )
=20.539 / ((0 + 0) / 1 )
=20.539 / 0
=N/A

Helios and Matheson Analytics's Inventory Turnover for the quarter that ended in Sep. 2018 is calculated as

Inventory Turnover (Q: Sep. 2018 )
=Cost of Goods Sold / Average Total Inventories
=Cost of Goods Sold (Q: Sep. 2018 ) / ((Total Inventories (Q: Jun. 2018 ) + Total Inventories (Q: Sep. 2018 )) / count )
=109.635 / ((0 + 0) / 1 )
=109.635 / 0
=N/A

* For Operating Data section: All numbers are indicated by the unit behind each term and all currency related amount are in USD.
* For other sections: All numbers are in millions except for per share data, ratio, and percentage. All currency related amount are indicated in the company's associated stock exchange currency.

Frequently Asked Questions Learn more about Inventory Turnover →
What does a Inventory Turnover of 0.00 mean?
Helios and Matheson Analytics (HMNY) has a Inventory Turnover of 0.00 as of Sep. 2018. Inventory turnover equals current-period cost of goods sold divided by average two-period total inventories. View historical data on Helios and Matheson Analytics and its competitors.
Is Helios and Matheson Analytics' Inventory Turnover too high?
Helios and Matheson Analytics' current Inventory Turnover is 0.00.
How does Helios and Matheson Analytics' Inventory Turnover compare to competitors?
Helios and Matheson Analytics' Inventory Turnover of 0.00 can be compared against companies in the Software industry. See the competitive comparison table and distribution chart on this page for a detailed peer-by-peer breakdown.
What is a good Inventory Turnover for a Software company?
A good Inventory Turnover depends on the Software industry context. However, Inventory Turnover should not be evaluated in isolation — investors should consider it alongside profitability, growth, and financial strength metrics. Use the industry distribution chart on this page to see where any company falls relative to its peers.
What does a high Inventory Turnover mean?
A high Inventory Turnover can signal that a stock is expensive relative to its fundamentals. Inventory turnover equals current-period cost of goods sold divided by average two-period total inventories. View historical data on Helios and Matheson Analytics and its competitors. Helios and Matheson Analytics's current Inventory Turnover is 0.00. However, context matters — high-growth companies often justify higher valuations. Always evaluate alongside other metrics like GF Score™ and GF Value™.
Is Helios and Matheson Analytics stock overvalued right now?
Helios and Matheson Analytics (HMNY) has a current Inventory Turnover of 0.00. The current Inventory Turnover is 0.00. Investors should evaluate multiple metrics — including profitability, growth, and financial strength — before making a decision.
How is Inventory Turnover calculated?
Inventory Turnover is calculated from a company's financial statements. For Helios and Matheson Analytics (HMNY), the current Inventory Turnover is 0.00 as of Sep. 2018. GuruFocus calculates this using data sourced from SEC filings and annual reports. See the calculation section and 30-year financial data on this page for the full breakdown.

Helios and Matheson Analytics Business Description

Address Empire State Building, 350 Fifth Avenue, New York, NY, USA, 10118
Helios and Matheson Analytics Inc is a United States-based company, that engages in the provision of information technology services and solutions. Its services include application value management, application development, integration, independent validation, infrastructure, information management, and analytics services. The company serves various industries including financial, healthcare, retail, education, and government.