Page 9 - Market Analysis Report of Optical Communications Field in China & Global market 2015

Rankings of Top 10 competitiveness enterprises in the optical communications field of China during 2014-2015

Standard value weighted of the financial data(70% weight) Standard value weighted of the survey data(30% weight)

Company Sales The ratio of The average The average Total
revenues international growth rate of growth rate standard
Sales Net Net Return Return contribution revenue sales revenues of net profit value Technology Customer Brand Management Corporation Total standard Comprehensive
profit on total on net for the last weighted of innovation satisfaction awareness level of culture index of Comprehensive
The group of three The group of two Ranking revenues assets assets assets per to total sales for the last three years the financial enterprise value weighted Source of financial data
weight employee revenues three years weight weight weight weight competitiveness score of
items products in items products in weight weight weight data weight of the survey competitiveness
optical optical weight weight weight $
data $
%

communication communication %
weight weight

18% 13% 13% 8% 8% 5% 6% 14% 15% 34% 18% 12% 11% 25%

FiberHome Huawei 1 0.9013 0.9101 0.2609 0.0329 0.3214 0.0302 0.2183 0.1013 0.1500 2.9264 0.7218 0.5196 0.2551 0.2576 0.4407 2.1948 2.7069 Annual report of Annual report
Technologies 1000 listed Subsidiary of company

company for public

ZTE 3 0.4352 0.5171 0.0279 -0.0062 0.2107 0.0093 0.1732 -0.1400 -0.1500 1.0772 0.6586 0.3665 0.2068 0.1529 0.4731 1.8579 1.3114 935 Annual report of listed company

Hengtong 4 0.0935 0.0259 -0.0191 -0.0043 0.1413 0.0228 0.0079 0.1400 0.1500 0.5580 0.2458 0.3262 0.2513 0.2727 0.3003 1.3963 0.8095 825 Annual report of listed company
Futong 5 0.0779 -0.0047 -0.0192 0.0112 0.1497 0.0240 0.0056 0.1400 0.1500 0.5345 0.3093 0.2688 0.2229 0.2652 0.3033 1.3695 0.7850
Zhongtian 6 0.0494 0.0464 -0.0181 0.0083 0.0935 0.0263 0.0414 0.1400 0.1500 0.5372 0.2576 0.2382 0.2577 0.2517 0.3015 1.3067 0.7681 Taxationǃresearch ˂ survey
822 information˗self-reported figures

and operators' tender results

819 Annual report of listed company

Yongding 7 -0.0428 -0.0308 -0.0255 0.0183 0.1655 0.0545 0.1566 0.0198 0.1500 0.4656 0.1133 0.1406 0.1746 0.1454 0.2026 0.7765 0.5589 754 Annual report of listed company

Zhongli 8 -0.0528 0.0283 -0.0214 -0.0126 0.0843 0.0301 0.0341 0.1400 0.1500 0.3800 0.1432 0.1528 0.1880 0.2045 0.2061 0.8946 0.5344 750 Annual report of listed company

SDGI 9 -0.0039 -0.0456 -0.0247 -0.0065 0.0693 0.0040 0.0113 0.1400 0.1500 0.2939 0.2318 0.1300 0.1602 0.1306 0.1879 0.8405 0.4579 741 Annual report of listed company

Fuchunjiang 10 -0.0440 -0.0536 -0.0246 0.0101 0.1200 0.0342 0.0038 -0.0221 0.0770 0.1008 0.1089 0.1405 0.1749 0.1843 0.1965 0.8051 0.3121 Taxationǃresearch ˂ survey
725 information˗self-reported figures

and operators' tender results

Note 1: Enterprises qualified for the competitiveness selection in the optical communications field of China shall have 2 or more items of relevant products as core businesses. FiberHome Technologies is the only company with 3 types of products that participates in the selection.
Note 2: What makes the list of comprehensive competitiveness enterprises in the optical communications field different from the other lists of 3 sub-sectors is the data resource of the sales revenues indicator. The data of the former list comes from the total revenues in the optical communications business, while the
data of the other 3 lists is the sales revenues of the related products in the sub-sectors of the optical communications industry.
Note 3: “Return on net assets” can be defined in different formula. To avoid the incomparable problem of net profit caused by the different corporate income tax rate in listed companies and unlisted companies, we define the molecular in the formula as net profit before tax instead of net profits. The formula of calculating
“return on net assets” is: Return on net assets=net profit before tax/ net assets.
Note 4: From the monitoring data, it is found that if the enterprise competitiveness comes mainly from the increase indicators (that is, the average growth rate of revenues for the last three years & the average growth rate of net profit for the last th ree years), the monitoring data of the enterprise competitiveness is
usually unstable. The main reason for the enterprise competitiveness instability is that the original sales revenues base in these enterprises was small and the increasing sales revenues of recent 2 years make the average growth rate of the past 3 years far higher than the industry average level. The extremely high
standard value of a certain indicator in the company may cause the standard value of financial data competitiveness index over high on the whole. But in the second or third years, when the growth rate of sales revenues drops to the normal average level and instead there is no higher growth in the other indicators,
the monitoring index of the enterprise competitiveness will decline significantly. To avoid the impact of abnormal change in financial indicators on the objectivity of the enterprise competitiveness evaluation, we find a practical way to improve it. That is, we set the upper and low limit of standard value in the increase
indicators (the average growth rate of revenues for the last three years & the average growth rate of net profit for the last three years) within [-1,1]. With the consistency of statistical test, the overdone impact on overall standard value of financial data by the abnormal data of growth index can be eliminated.