Page 16 - Market Analysis Report of Optical Communications Field in China & Global market 2024

CHINA

14
The 18th Ranking Event of Top 10 Competitiveness Enterprises in the
Optical Communications of China & Global Market (2024)

Rankings of the Top 10 competitiveness enterprises in the optical components and auxiliary equipment field of China in 2024 (18th)

The weighted standard value indexs of financial data 70% weight The weighted standard value indexs of survey data(30% weight)

Company Sales Net Net Return Return Sales The ratio of The average The average Total Customer Brand Management Corporation Total Comprehensive Source of financial data
Ranking revenues assets profits on total on net revenues international growth rate of growth rate satisfaction awareness level of culture weighted indexs of Comprehensive
assets assets contribution revenue sales revenues of net profits weighted Technology enterprise standard
weight weight for the last standard value innovation value indexs competitiveness scores of
18% 13% per to total sales for the last three years competitiveness
employee revenues three years indexs of
$
%

financial data

weight weight weight weight weight weight weight weight weight weight weight weight of survey data
(B)
13% 8% 8% 5% 6% 14% 15% (A) 34% 18% 12% 11% 25%

Accelink 1 1.1782 1.3911 0.0764 0.0029 0.0036 0.1900 0.0042 -0.0015 -0.0002 2.8446 0.5458 0.4172 0.3449 0.3579 0.4385 2.1043 2.6225 1000 Annual report of listed company

Zhongji Innolight 2 1.2004 1.4300 0.0901 0.0084 0.0112 0.2015 0.0153 0.0026 0.0086 2.9681 0.4659 0.3533 0.3253 0.3287 0.3383 1.8115 2.6211 999 Annual report of listed company

Eoptolink 3 0.5855 0.8387 0.0853 0.0082 0.0087 0.2029 0.0152 0.0033 0.0020 1.7499 0.4005 0.3496 0.2504 0.3100 0.2987 1.6092 1.7077 960 Annual report of listed company

TFC 4 0.3519 0.4165 0.0907 0.0157 0.0183 0.0598 0.0151 0.0073 0.0095 0.9846 0.3743 0.3221 0.2157 0.2101 0.2241 1.3463 1.0931 933 Annual report of listed company

JONHON 5 0.5955 0.0578 0.0228 0.0068 0.0118 0.1389 -0.0122 0.0053 0.0071 0.8338 0.4098 0.3491 0.1666 0.2978 0.2699 1.4931 1.0316 930 Annual report of listed company
HGTECH 6 0.5881 0.0473 0.0159 0.0035 0.0068 0.1543 -0.0092 0.0047 0.0041 0.8157 0.3828 0.2895 0.3005 0.2529 0.2841 1.5098 1.0239
LUSTER 7 0.1181 0.5010 0.0172 0.0003 -0.0004 0.1660 -0.0111 0.0028 0.0000 0.7938 0.4017 0.3211 0.2058 0.2013 0.2150 1.3448 0.9591 929 Annual report of listed
parent company

926 Annual report of listed company

O-Net 8 0.1415 0.2091 0.0090 0.0006 0.0012 0.0927 0.0123 -0.0020 -0.0016 0.4628 0.3836 0.2790 0.2171 0.2430 0.2781 1.4009 0.7442 917 Annual report of listed company

AFR 9 0.1080 0.1399 0.0036 0.0004 -0.0005 0.0306 0.0070 0.0023 0.0035 0.2948 0.3376 0.2942 0.1899 0.2126 0.2115 1.2458 0.5801 910 Annual report of listed company

Sunstar 10 0.0652 -0.1145 -0.0016 0.0015 0.0026 0.1285 -0.0133 -0.0014 -0.0041 0.0628 0.3879 0.3577 0.2752 0.2779 0.2785 1.5772 0.5171 907 Annual report of listed
parent company

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 three 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 co nsistency of statistical test, the overdone impact
on overall standard value of financial data by the abnormal data of growth index can be eliminated.