Page 11 - Market Analysis Report of Optical Communications Field in China & Global market 2022

ZTE
NEC
CIENA
Infinera
ADVA
NOKIA
HUAWEI
Ericsson
Company
FiberHome
Sumitomo Electric
3
2
1
6
7
8
4
5
9
10
Ranking
18%
Sales
weight
0.3951
0.6375
0.1433
0.0714
0.1323
0.2174
0.3938
-0.2593
revenues
-0.1136
Net
13%
assets
weight
0.6713
0.1379
1.1298
0.5623
0.0681
0.4372
1.8333
0.0319
Net
13%
profits
weight
0.2042
0.0176
1.1120
0.0351
0.0822
0.1480
0.0184
-0.1415 -0.0181 -0.0008
-0.0217 -0.0205
-0.0026
8%
Return
weight
assets
on total
0.0308
0.0138
0.1202
0.0838
0.1380
0.0262
0.1614
-0.2700
-0.0426
-0.0048
8%
weight
assets
on net
Return
0.0294
0.0586
0.1168
0.0017
0.0523
0.1264
0.0431
0.0333
-0.2910
-0.0071
per
5%
Sales
weight
0.0713
0.0894
0.0690
0.1215
0.0580
0.2031
0.1738
0.2096
0.0722
employee
revenues
-0.0155
contribution
6%
weight
0.1172
0.1054
0.0003
0.0669
0.0054
revenues
revenue
0.0540
0.0014
-0.0144
-0.0348
-0.0095
The ratio of
international
to total sales
14%
weight
the released annual reports of the enterprises listed in the rankings, and make no more in subdivision.
0.0272
0.0781
-0.1400
-0.0232
-0.0091
-0.0729
-0.0864
-0.0373
-0.0311
-0.0848
for the last
three years
The average
growth rate of
sales revenues
calculated according to the contribution rate of the enterprise’s total profit rate, net assets and total assets.
The weighted standard value indexs of financial datač70% weightĎ
15%
weight
0.0195
0.0072
0.0053
0.0830
0.0069
0.0163
-0.0031
-0.1500
-0.1500
-0.0070
for the last
three years
growth rate
of net profits
The average
(A)
of
Total
3.9899
0.8550
0.2474
1.5227
weighted
0.1969
0.0913
1.7687
standard
0.9256
-0.2290
-0.2533
value indexs
financial data
34%
weight
0.4741
0.6021
0.5922
0.6379
0.5234
0.4476
0.6460
0.5119
0.4277
0.4817
innovation
Technology
18%
weight
0.2932
0.3046
0.4411
0.4283
0.6256
Customer
0.4109
0.4123
0.4263
0.4340
0.4012
satisfaction
[-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.
the relevant products in the optical communications division of the enterprise; Net assets data is collected from the optical communications division of the enterprise.
12%
Brand
weight
0.4261
0.2955
0.6604
0.5191
0.3070
0.3467
0.3195
0.3151
0.4191
0.4241
awareness
11%
of net profits. The formula of calculating “return on net assets” is: Return on net assets=net profit before tax/ net assets; Return on total assets=Net profits before tax/ total assets.
level of
weight
0.4684
0.4302
0.2842
0.2908
0.2790
0.3630
0.2209
0.1960
0.3719
0.3516
enterprise
Management
25%
weight
culture
0.5264
0.5977
0.4368
0.5488
0.5054
0.5842
0.4238
0.5578
0.6067
0.4570
Corporation
(B)
The weighted standard value indexs of survey data(30% weight)
2.1835
2.2112
2.0043
2.0809
2.8343
2.0414
2.0499
2.3245
2.1713
2.1541
indexs of
survey data
Total weighted
standard value
indexs of
1.7632
0.4521
1.8932
1.3113
0.6881
0.4240
3.6432
1.2448
0.7892
0.7882
$ %
Comprehensive
competitiveness
Optical Communications of China & Global Market (2022)
897
888
916
900
919
939
934
887
899
1000
scores of
competitiveness
Comprehensive
The 16 th Ranking Event of Top 10 Competitiveness Enterprises in the
for public
Source of financial data
Annual report of company
Annual report of listed company
Annual report of listed company
Annual report of listed company
Annual report of listed company
Annual report of listed company
Annual report of listed company
Annual report of listed company
Annual report of listed company
Annual report of listed company
Rankings of the Top 10 competitiveness enterprises in the optical transmission and network access equipment field of Global market in 2022 (16 th )
USA
USA
China
China
Japan
Japan
China
Finland
Sweden
Country
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
Note 2: The calculation data of return on net assets and return on total assets are collected from the net profit, net assets and total assets of the communication division of the selected enterprises. If the enterprise listed does not reveal relevant data in its annual report, they will be
Note 5: 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
Note 1: For the financial data of sales revenues indicator, due to enterprises’ sales revenues derived from diversified products, the data we collect is based on the revenues of relevant products in each sub-sectors of optical communications division. Net profit data is collected from
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
Note 4: “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
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
Germany
Note 3: As for the four indicators of sales revenues contribution per employee, the ratio of international revenue to total sales revenues, the average growth rate of sales revenues for the last three years and the average growth rate of net profit for the last three years, we refer to
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
9