Page 11 - Market Analysis Report of Optical Communications Field in China & Global market 2018
P. 11
ZTT
HTGD
YOFC
Futong
Corning
Fujikura
Furukawa
Prysmian
FiberHome
Company
Electric/OFS
Communications
Sumitomo Electric
5
8
9
6
7
3
1
2
4
10
Ranking
18%
Sales
weight
0.4699
1.1789
0.7704
0.8017
0.8386
0.5566
0.9978
0.5557
1.2881
0.2271
revenues
Net
13%
assets
weight
0.0962
0.0311
0.1476
0.2237
0.1011
0.2449
0.0897
0.2869
0.1189
0.0558
Net
13%
profit
weight
0.0503
0.0273
0.0390
0.0347
0.1817
0.0477
0.1261
0.0381
0.1223
0.0825
8%
assets
weight
Return
on total
0.0060
0.0972
0.0516
0.0960
0.1218
0.0606
0.0362
0.2556
0.0556
0.0304
8%
weight
on net
assets
Return
0.1050
0.0264
0.0115
0.0368
0.0146
0.0074
0.0583
0.0133
0.0221
0.0960
per
5%
Sales
weight
0.0025
0.0029
0.0117
0.0114
0.0096
0.0019
0.0102
-0.0047
-0.0047
-0.0024
revenues
employee
contribution
6%
weight
0.2234
0.3190
0.0407
0.0178
0.1663
0.0215
revenue
0.0783
0.2603
0.0273
0.2185
revenues
The ratio of
international
to total sales
14%
the released annual reports of the enterprises listed in the rankings, and make no more in subdivision.
weight
0.0958
0.1400
0.0677
-0.0838
-0.0939
-0.0400
-0.0359
-0.1064
-0.1400
-0.1097
Standard value weighted of the financial data(70% weight)
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.
15%
weight
0.0033
0.0374
0.0187
0.0072
0.0403
0.0105
0.0015
0.0026
0.0141
-0.0022
for the last
three years
growth rate
of net profit
The average
$
data
Total
value
standard
1.7901
1.0055
0.8480
1.8884
1.0073
1.0074
1.0599
0.5371
2.0518
1.0762
weighted of
the financial
34%
weight
0.8357
0.6685
0.3240
0.7079
0.6780
0.7556
0.4715
0.4870
0.6321
0.4466
innovation
Technology
18%
weight
0.5844
0.5029
0.3742
0.3191
0.3180
0.3031
0.4063
0.3251
0.4488
0.3160
Customer
satisfaction
the relevant products in the optical communications division of the enterprise; Net assets data is collected from the optical communications division of the enterprise.
[-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.
12%
weight
Brand
0.3403
0.3556
0.3767
0.6375
0.3603
0.3319
0.3899
0.3042
0.5292
0.2911
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.
weight
level of
0.3261
0.3540
0.2766
0.3191
0.3675
0.1964
0.4547
0.4185
0.3162
0.4104
enterprise
Management
25%
weight
culture
0.5074
0.4331
0.5114
0.6099
0.4125
0.5257
0.4903
0.3656
0.4582
0.3785
Corporation
Standard value weighted of the survey data(30% weight)
%
data
1.6964
1.8942
2.0994
2.9021
2.0968
2.0568
2.3061
2.6547
2.1985
2.0489
of the survey
Total standard
value weighted
index of
2.3069
0.9443
1.3198
1.3710
1.2128
2.1183
1.2234
1.3222
1.9449
1.4128
$ %
Comprehensive
competitiveness
Communications Field of China & Global Market (2018)
954
933
951
982
947
952
990
956
946
1000
score of
Comprehensive
competitiveness
Ranking of "the Top 10 competitiveness enterprises in the optical fiber and cable field of Global market in 2018"
The 12 th Ranking Event of Top 10 Competitiveness Enterprises in the Optical
Ranking of "the Top 10 competitiveness enterprises in the optical communications field of Global market in 2018"
Source of financial data
Taxationǃresearch ˂ survey
and operators' tender results
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
information˗self-reported figures
Italy
USA
China
China
China
China
China
Japan
Japan
Japan
Country
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
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
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
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 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 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 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
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
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
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