Page 7 - Analysis Report of Global Market in the Submarine Cable Field (2017)

ZTT
Futong
Zhongli
Hengtong
Jiangnan
Company
Baosheng
Zhongchao
Shangshang
Hanhe Cable
Tongling Jingda
5
7
1
9
8
6
4
3
2
10
Ranking
18%
Sales
weight
revenues
Net
13%
assets
weight
Net
13%
profit
weight
8%
Return
assets
weight
on total
8%
on net
assets
weight
Return
0.9128 0.1700 0.0122 0.0335 0.0803
1.3595 0.4507 0.0533 0.0488 0.1211
1.3035 0.2878 0.0318 0.0559 0.0707
1.7818 0.2717 0.0223 -0.0002 0.0473
0.6146 0.0862 0.0030 -0.0082 0.0477
1.6984 0.4182 0.0566 0.0472 0.2439
0.7730 0.3788 0.0233 0.0378 0.1302
0.4999 0.3353 0.0399 0.0384 0.0714
0.8241 0.3009 0.0352 0.0339 0.1471
1.0815 0.3504 0.0479 0.0227 0.0834
per
5%
Sales
weight
revenues
0.0133
0.0312
0.0599
0.0437
0.0526
0.0206
0.0343
0.0603
employee
0.0121
-0.0161
contribution
6%
weight
revenue
revenues
0.0035
0.0032
0.0014
0.0132
-0.0005
-0.0019
-0.0026
-0.0006
-0.0001
The ratio of
-0.0005
international
to total sales
14%
weight
Chapter 2 Ranking of "the T
0.1400
Standard value weighted of the financial data(70% weight)
0.1397
0.1400
0.1400
0.1400
for the last
0.1213
0.1400
0.1400
-0.1400
-0.1400
three years
The average
growth rate of
sales revenues
15%
weight
0.0003
0.0090
0.0004
0.0047
0.0157
0.0096
0.0005
-0.0053
-0.0007
for the last
-0.0012
of net profit
three years
growth rate
The average
$
data
value
Total
standard
1.1275
0.8643
2.6356
0.8404
1.9495
1.5110
2.3318
1.7683
1.5099
2.2199
weighted of
the financial
30%
weight
0.4961
of net profit for the last three years), we refer to the released annual reports of the enterprises listed in the rankings, and make no more in subdivision.
0.4947
0.6578
0.4313
innovation
0.6539
0.5837
0.6287
0.5016
0.6184
0.4328
Technology
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.
20%
weight
Quality
Product
0.4827
0.5823
0.4232
0.5289
0.3872
0.5007
0.3792
0.4890
0.4132
0.5079
Note 1: Enterprises qualified for the competitiveness selection in the wire and cable industry of China shall have 2 or more items of relevant products as core businesses.
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.
10%
weight
Brand
0.4791
0.6372
0.5828
0.2077
0.3962
0.4547
0.3424
0.6461
0.4181
0.5758
awareness
industry of China in 2017"
20%
weight
level of
0.5796
0.5851
0.5362
0.5345
0.5154
0.6450
0.4768
0.5652
0.5365
0.6037
enterprise
Management
20%
weight
0.4787
Industry
0.4132
0.4537
0.5068
0.4188
0.3960
0.4390
0.5255
0.3604
0.3520
Contribution
Standard value weighted of the survey data(30% weight)
%
data
2.8663
2.8640
2.3623
2.2265
2.5162
2.4776
2.8666
2.2262
2.2268
2.2230
of the survey
Total standard
value weighted
index of
2.7041
2.2246
1.7256
1.3432
2.2209
2.4921
1.9465
1.4573
1.7249
1.3483
$ %
Comprehensive
competitiveness
rate will be calculated by relevant products contribution rate in sales revenues, if the enterprise listed does not reveal net profit of relevant products in its annual report. Net asset data is collected from the wire and cable group of the enterprise.
Ranking of the Top 10 competitiveness enterprises in the wire and cable industry of China in 2017
979
963
952
956
962
951
990
978
969
1000
score of
Comprehensive
competitiveness
op 10 competitiveness enterprises in the wire and cable
1. Ranking of "the Top 10 competitiveness enterprises in the wire and cable industry of China in 2017"
listed company
listed company
listed company
listed company
listed company
listed company
listed company
listed company
Annual report of
Annual report of
Annual report of
Annual report of
Annual report of
Annual report of
Annual report of
Annual report of
Source of financial data
Taxationǃresearch ˂ survey
Taxationǃresearch ˂ survey
information˗self-reported figures
information˗self-reported figures
and grid companies' tender results
and grid companies' tender results
Note 2: For sales revenues and net profit indicator, due to enterprises’ sales revenues from diversified products revenues, the data we collect is based on the revenues of relevant products of wire and cable business and net profits of relevant wire and cable products. The net profit
Note 3: As for the other six indicators (of return on net assets, return on total assets, 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
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
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
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].
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 of
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 the
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
7