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NanJing GOVA Technology Co (SHSE:688539) Profitability Rank : 6 (As of Mar. 2024)


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What is NanJing GOVA Technology Co Profitability Rank?

NanJing GOVA Technology Co has the Profitability Rank of 6.

GuruFocus Profitability Rank ranks how profitable a company is and how likely the company's business will stay that way. It is based on these factors:

1. Operating Margin %
2. Piotroski F-Score
3. Trend of the Operating Margin % (5-year average). The company with an uptrend profit margin has a higher rank.
4. Consistency of the profitability
5. Predictability Rank

NanJing GOVA Technology Co's Operating Margin % for the quarter that ended in Mar. 2024 was 26.89%. As of today, NanJing GOVA Technology Co's Piotroski F-Score is 9999.


Competitive Comparison of NanJing GOVA Technology Co's Profitability Rank

For the Electronic Components subindustry, NanJing GOVA Technology Co's Profitability Rank, along with its competitors' market caps and Profitability Rank data, can be viewed below:

* Competitive companies are chosen from companies within the same industry, with headquarter located in same country, with closest market capitalization; x-axis shows the market cap, and y-axis shows the term value; the bigger the dot, the larger the market cap. Note that "N/A" values will not show up in the chart.


NanJing GOVA Technology Co's Profitability Rank Distribution in the Hardware Industry

For the Hardware industry and Technology sector, NanJing GOVA Technology Co's Profitability Rank distribution charts can be found below:

* The bar in red indicates where NanJing GOVA Technology Co's Profitability Rank falls into.



NanJing GOVA Technology Co Profitability Rank Calculation

GuruFocus Profitability Rank ranks how profitable a company is and how likely the company's business will stay that way.

The maximum rank is 10. A rank of 7 or higher means a higher profitability and may stay that way. A rank of 3 or lower indicates that the company has had trouble to make a profit.

NanJing GOVA Technology Co has the Profitability Rank of 6.

Profitability Rank is not directly related to the Financial Strength. But if a company is consistently profitable, its financial strength will be stronger.

Profitability Rank is based on these factors:

1. Operating Margin %

Operating Margin % - also known as operating income margin, operating profit margin and return on sales (ROS) - is the ratio of Operating Income divided by net sales or Revenue, usually presented in percent.

NanJing GOVA Technology Co's Operating Margin % for the quarter that ended in Mar. 2024 is calculated as:

Operating Margin %=Operating Income (Q: Mar. 2024 ) / Revenue (Q: Mar. 2024 )
=20.169 / 75.012
=26.89 %

* 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.

2. Piotroski F-Score

The zones of discrimination were as such:

Good or high score = 8 or 9
Bad or low score = 0 or 1

NanJing GOVA Technology Co has an F-score of 9999. It is a bad or low score, which usually implies poor business operation.

3. Trend of the Operating Margin % (5-year average). The company with an uptrend profit margin has a higher rank.

Good Sign:

NanJing GOVA Technology Co Ltd operating margin is expanding. Margin expansion is usually a good sign.

4. Consistency of the profitability

5. Predictability Rank


NanJing GOVA Technology Co Profitability Rank Related Terms

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NanJing GOVA Technology Co (SHSE:688539) Business Description

Traded in Other Exchanges
N/A
Address
No. 66, Qixia Avenue, Economic and Technological Development Zone, Jiangsu Province, Nanjing, CHN, 210046
NanJing GOVA Technology Co Ltd is a high-tech enterprise that develops, designs, produces and sells high-reliability sensors and sensor network systems. The main products are various pressure, acceleration, temperature and humidity, displacement and other sensors, and integrate the above sensors into a sensor network system through software algorithms.

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