Snet Competitors

Stocks . Korea . 
Stock . Snet systems
038680 Stock  KRW 4,140  125.00  2.93%   
Snet systems competes with Samsung Electronics, Samsung Electronics, LG Energy, SK Hynix, and Samsung Biologics; as well as few others. Analyzing Snet Systems competition allows you to expand the diversification possibilities of your existing portfolios and to get a better perspective on locking in new positions. Investors sometimes prefer comparable analysis of Snet Systems to its intrinsic valuation because they are able to contrast its competitors on a relative basis. Check out Snet Systems Correlation with its peers.
You can use the Comparative Equity Analysis module to analyze the advantages of investing in your portfolio's related equities across multiple sectors and thematic ideas. Please use the input box below to enter symbols for particular investments you would like to analyze. With the equity comparison module, you can estimate the relative effect of Snet Systems competition on your existing holdings.
  
Hype
Prediction
LowEstimatedHigh
4,1374,1404,143
Details
Intrinsic
Valuation
LowRealHigh
4,0964,0994,554
Details
Naive
Forecast
LowNextHigh
3,9893,9923,995
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
3,9104,2364,563
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Snet Systems. Your research has to be compared to or analyzed against Snet Systems' peers to derive any actionable benefits. When done correctly, Snet Systems' competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Snet systems.

Snet Systems Competition Correlation Matrix

Typically, diversification allows investors to combine positions across different asset classes to reduce overall portfolio risk. Correlation between Snet Systems and its competitors represents the degree of relationship between the price movements of corresponding stocks. A correlation of about +1.0 implies that the price of Snet and its corresponding peer move in tandem. A correlation of -1.0 means that prices move in opposite directions. A correlation of close to zero suggests that the price movements of assets are uncorrelated; in other words, the historical price movement of Snet systems does not affect the price movement of the other competitor.
Click cells to compare fundamentals   Check Volatility   Backtest Portfolio
High positive correlations   
051910
+ 0.98
051915
005385
+ 0.98
005387
005930
+ 0.96
005935
006400
+ 0.91
051910
005387
+ 0.91
006400
006400
+ 0.9
005930
  
High negative correlations   
005385
- 0.03
000660
000660
- 0.03
005935

Risk-Adjusted Indicators

There is a big difference between Snet Stock performing well and Snet Systems Company doing well as a business compared to the competition. There are so many exceptions to the norm that investors cannot definitively determine what's good or bad unless they analyze Snet Systems' multiple risk-adjusted performance indicators across the competitive landscape. These indicators are quantitative in nature and help investors forecast volatility and risk-adjusted expected returns across various positions.
Mean DeviationJensen AlphaSortino RatioTreynor RatioSemi DeviationExpected ShortfallPotential UpsideValue @RiskMaximum Drawdown
005935  1.59 (0.30) 0.00  1.17  0.00 
 0.00 
 2.42 
(3.67)
 10.84 
005930  1.68 (0.31) 0.00  8.94  0.00 
 0.00 
 3.94 
(3.64)
 10.64 
373220  2.22 (0.18) 0.00  0.50  0.00 
 0.00 
 4.09 
(3.90)
 17.72 
000660  2.64  0.04  0.01  0.32  3.21 
(2.70)
 4.89 
(4.97)
 14.85 
207940  0.85 (0.05) 0.00 (3.20) 0.00 
 0.00 
 2.57 
(2.50)
 7.43 
051915  2.12 (0.38) 0.00  1.11  0.00 
 0.00 
 4.35 
(4.61)
 14.51 
051910  1.93 (0.30) 0.00  1.31  0.00 
 0.00 
 4.14 
(5.40)
 15.97 
006400  2.43 (0.53) 0.00  0.68  0.00 
 0.00 
 4.45 
(5.98)
 15.04 
005387  1.43 (0.12) 0.00  3.57  0.00 
 0.00 
 3.23 
(2.97)
 7.99 
005385  1.28 (0.13) 0.00  0.89  0.00 
 0.00 
 3.49 
(2.23)
 7.67 
All Fundamental Data

Snet Systems Competitive Analysis

The better you understand Snet Systems competitors, the better chance you have of utilizing it as a position in your portfolios. From an individual investor's perspective, Snet Systems' competitive analysis can cover a whole range of metrics. Some of these will be more critical depending on who you are as an investor and how you react to market volatility. However, if you are locking your investment sandscape to a long-term horizon, comparing the fundamental indicator across Snet Systems' competition over several years is one of the best ways to analyze its investment potential.
    
 Better Than Average     
    
 Worse Than Peers    View Performance Chart
038680 005935 005930 373220 000660 207940 051915 051910 006400 005387
 2.93 
 4,140 
Snet
 2.71 
 43,050 
Samsung
 0.19 
 53,000 
Samsung
 3.90 
 357,500 
373220
 3.71 
 168,500 
000660
 1.98 
 939,000 
Samsung
 0.99 
 162,500 
051915
 0.19 
 257,500 
051910
 2.36 
 248,000 
Samsung
 0.90 
 155,000 
Hyundai
Market Volatility
(90 Days Market Risk)
Very steady
Very steady
Very steady
Very steady
Very steady
Very steady
Very steady
Very steady
Very steady
Very steady
Market Performance
(90 Days Performance)
Insignificant
Very Weak
Very Weak
Very Weak
Weak
Very Weak
Very Weak
Very Weak
Very Weak
Very Weak
Odds of Financial Distress
(Probability Of Bankruptcy)
Low
Low
Low
Low
Low
Low
Low
Low
Low
Low
Current Valuation
(Equity Enterprise Value)
Fairly Valued
Over Valued
Fairly Valued
Over Valued
Over Valued
Over Valued
Over Valued
Over Valued
Over Valued
Over Valued
Buy or Sell Advice
(Average Analysts Consensus)
Not Available
Not Available
Not Available
Not Available
Not Available
Not Available
Not Available
Not Available
Not Available
Not Available
Trade Advice
(90 Days Macroaxis Advice)
Hold
Strong Sell
Strong Hold
Strong Sell
Strong Sell
Sell
Strong Sell
Strong Sell
Strong Sell
Cautious Hold
Current Ratio
1.83
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
Net Asset
N/A
426.62 T
426.62 T
23.76 T
96.39 T
7.97 T
51.14 T
51.14 T
25.83 T
233.95 T
Profit Margin
0.48
0.18
0.18
0.0255
0.19
0.2
0.0454
0.0454
0.0955
0.046
EBITDA
N/A
88.03 T
88.03 T
2.3 T
24.33 T
737.78 B
7.94 T
7.94 T
2.97 T
12.82 T
Operating Margin
-1.45
0.14
0.14
0.0489
0.26
0.32
0.0725
0.0725
0.0881
0.0592
Price To Book
1.5
1.1
1.23
6.04
0.82
6.92
0.71
1.55
2.73
0.25
Current Valuation
N/A
289.78 T
289.78 T
118.57 T
72.86 T
58.92 T
55.66 T
55.66 T
46.33 T
126.62 T
Retained Earnings
19.96 B
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
Current Asset
83.8 B
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
Beta
N/A
0.95
0.95
N/A
0.93
0.58
1.26
1.26
0.69
1.04
Number Of Employees
5
10
10
10.55 K
10
10
14.33 K
14.33 K
10
64.05 K
Shares Outstanding
14.99 M
822.89 M
5.97 B
234 M
687.65 M
71.17 M
7.68 M
70.22 M
65.43 M
34.77 M
Cash Flow From Operations
(3.9 B)
65.11 T
65.11 T
978.59 B
19.8 T
454.6 B
5.51 T
5.51 T
2.18 T
(1.18 T)
Annual Yield
N/A
0.0258
0.023
N/A
0.0293
N/A
0.0335
0.0147
0.0014
0.0803
Total Debt
3.55 B
509.73 B
509.73 B
4.71 T
14.74 T
1.11 T
11.04 T
11.04 T
2.11 T
74.13 T
Return On Equity
N/A
0.17
0.17
0.0859
0.15
0.0751
0.0819
0.0819
0.11
0.0796
Z Score
16.6
N/A
N/A
15.6
2.4
30.6
2.4
2.4
13.8
N/A
Return On Asset
-1.38
0.062
0.062
0.022
0.0838
0.0422
0.0372
0.0372
0.0361
0.02
Current Liabilities
45.7 B
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
Total Asset
118.74 B
426.62 T
426.62 T
23.76 T
96.39 T
7.97 T
51.14 T
51.14 T
25.83 T
233.95 T
Debt To Equity
0.05
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
Target Price
N/A
65400.0
75711.0
629400.0
116956.0
1000000.0
N/A
851720.0
870607.0
N/A
Last Dividend Paid
N/A
1448.0
1444.0
N/A
2740.0
N/A
10050.0
10000.0
1030.0
7100.0
Shares Owned By Institutions
N/A
35.3
27.58
8.75
38.42
13.8
32.1
36.2
33.68
33.23
Market Capitalization
95.06 B
424.67 T
424.25 T
127.09 T
64.23 T
57.3 T
50.06 T
49.76 T
48.83 T
42.38 T
Price To Earning
104.66
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
Price To Earnings To Growth
N/A
3.6
4.0
N/A
25.81
N/A
N/A
N/A
0.71
N/A
Price To Sales
0.53
1.29
1.29
5.28
1.1
23.45
0.98
0.97
2.45
0.28
Net Income
895.39 M
39.24 T
39.24 T
792.52 B
9.6 T
393.59 B
3.67 T
3.67 T
1.17 T
4.94 T
Earnings Per Share
59.43
873.86
1039.75
1533.23
187.08
2417.83
N/A
4956.35
8634.37
N/A
Shares Owned By Insiders
N/A
0.07
19.25
85.22
25.6
75.18
N/A
33.36
20.42
N/A
Revenue
187.84 B
279.6 T
279.6 T
17.85 T
43 T
1.57 T
42.65 T
42.65 T
13.55 T
117.61 T
Working Capital
38.1 B
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
Cash And Equivalents
32.18 B
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
Gross Profit
21.34 B
112.19 T
112.19 T
3.9 T
18.95 T
723.35 B
11.22 T
11.22 T
3.08 T
21.93 T
Day Typical Price
4163.33
43416.67
52666.67
363500.0
170133.0
931667.0
162500.0
257667.0
251500.0
155900.0
Accumulation Distribution
0.0399
0.0271
0.0226
0.0557
0.0441
0.0422
0.0219
0.0287
0.0406
0.0171
Market Facilitation Index
170.0
1200.0
1200.0
21000.0
7700.0
40000.0
3600.0
7500.0
10500.0
2700.0
Daily Balance Of Power
(0.74)
(1.00)
(0.08)
(0.69)
(0.84)
(0.47)
0.4444
(0.07)
(0.57)
(0.52)
Period Momentum Indicator
(125.00)
(1,200)
(100.00)
(14,500)
(6,500)
(19,000)
1600.0
(500.00)
(6,000)
(1,400)
Rate Of Daily Change
0.97
0.97
1.0
0.96
0.96
0.98
1.01
1.0
0.98
0.99
Day Median Price
4175.0
43600.0
52500.0
366500.0
170950.0
928000.0
162500.0
257750.0
253250.0
156350.0
Price Action Indicator
(97.50)
(1,150)
450.0
(16,250)
(5,700)
1500.0
800.0
(500.00)
(8,250)
(2,050)
Relative Strength Index
62.58
40.57
44.59
45.47
56.7
50.59
32.01
35.97
37.48
40.42
Coefficient Of Variation
2222.87
(721.32)
(751.19)
(1,721)
6240.15
(3,390)
(747.70)
(981.37)
(569.80)
(1,598)
Mean Deviation
1.77
1.59
1.68
2.22
2.64
0.8514
2.12
1.93
2.43
1.43
Jensen Alpha
0.1188
(0.30)
(0.31)
(0.18)
0.0396
(0.05)
(0.38)
(0.30)
(0.53)
(0.12)
Total Risk Alpha
0.0391
(0.36)
(0.38)
(0.27)
(0.05)
(0.09)
(0.47)
(0.38)
(0.63)
(0.17)
Sortino Ratio
0.0457
N/A
N/A
N/A
0.006
N/A
N/A
N/A
N/A
N/A
Downside Variance
4.57
N/A
N/A
N/A
11.44
N/A
N/A
N/A
N/A
N/A
Standard Deviation
2.89
2.12
2.29
3.03
3.28
1.4
2.82
2.86
3.04
1.81
Kurtosis
8.86
2.02
1.43
2.89
(0.19)
2.54
1.16
2.38
0.3521
(0.25)
Potential Upside
5.01
2.42
3.94
4.09
4.89
2.57
4.35
4.14
4.45
3.23
Treynor Ratio
2.3
1.17
8.94
0.502
0.3232
(3.20)
1.11
1.31
0.6834
3.57
Maximum Drawdown
18.91
10.84
10.64
17.72
14.85
7.43
14.51
15.97
15.04
7.99
Variance
8.34
4.49
5.24
9.18
10.75
1.95
7.96
8.15
9.26
3.29
Market Risk Adjusted Performance
2.31
1.18
8.95
0.512
0.3332
(3.19)
1.12
1.32
0.6934
3.58
Risk Adjusted Performance
0.0429
(0.10)
(0.1)
(0.04)
0.0203
(0.02)
(0.1)
(0.07)
(0.13)
(0.04)
Skewness
2.32
0.706
0.8315
(0.72)
0.2166
0.3972
0.504
0.3273
0.2214
0.1578
Semi Deviation
1.86
N/A
N/A
N/A
3.21
N/A
N/A
N/A
N/A
N/A
Information Ratio
0.0338
(0.15)
(0.15)
(0.07)
0.0062
(0.05)
(0.15)
(0.11)
(0.19)
(0.08)
Value At Risk
(3.19)
(3.67)
(3.64)
(3.90)
(4.97)
(2.50)
(4.61)
(5.40)
(5.98)
(2.97)
Expected Short fall
(2.22)
N/A
N/A
N/A
(2.70)
N/A
N/A
N/A
N/A
N/A
Downside Deviation
2.14
N/A
N/A
N/A
3.38
N/A
N/A
N/A
N/A
N/A
Semi Variance
3.47
N/A
N/A
N/A
10.31
N/A
N/A
N/A
N/A
N/A

Snet Systems Competition Performance Charts

Five steps to successful analysis of Snet Systems Competition

Snet Systems' competitive analysis is the process of researching and evaluating its competitive landscape. It provides an understanding of the strengths, weaknesses, opportunities, and threats (SWOT) faced by Snet systems in relation to its competition. Snet Systems' competition analysis typically involves several steps, including:
  • Identifying the key players in the market: This involves identifying the major competitors of Snet Systems in the market, both direct and indirect, as well as new entrants and disruptive technologies.
  • Assessing the strengths and weaknesses of each competitor: This involves evaluating each competitor's strengths and weaknesses in areas such as product offerings, market share, brand recognition, financial performance, and distribution channels.
  • Understanding the competitive environment: This involves evaluating the regulatory environment, economic conditions, and other factors that may impact Snet Systems' competitive landscape.
  • Identifying opportunities and threats: This involves using the information gathered during the analysis to identify opportunities and threats to Snet systems, and developing a strategy to address them.
  • Evaluating the competitive landscape: This involves understanding the competitive dynamics of the market, such as pricing, marketing, and distribution strategies, as well as analyzing the competitive advantage of each competitor.
Competitive analysis is an essential tool for businesses to stay ahead of the competition and can be used to inform decision-making and strategy development. By understanding the competitive landscape and staying informed about the activities of competitors, a company can make more informed decisions and improve its overall performance.

Complement your Snet Systems position

In addition to having Snet Systems in your portfolios, you can quickly add positions using our predefined set of ideas and optimize them against your very unique investing style. A single investing idea is a collection of funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of investment themes. After you determine your investment opportunity, you can then find an optimal portfolio that will maximize potential returns on the chosen idea or minimize its exposure to market volatility.

Did You Try This Idea?

Run Non-Metallic and Industrial Metal Mining Thematic Idea Now

Non-Metallic and Industrial Metal Mining
Non-Metallic and Industrial Metal Mining Theme
Fama and French investing themes focus on testing asset pricing under different economic assumptions. The Non-Metallic and Industrial Metal Mining theme has 61 constituents at this time.
You can either use a buy-and-hold strategy to lock in the entire theme or actively trade it to take advantage of the short-term price volatility of individual constituents. Macroaxis can help you discover thousands of investment opportunities in different asset classes. In addition, you can partner with us for reliable portfolio optimization as you plan to utilize Non-Metallic and Industrial Metal Mining Theme or any other thematic opportunities.
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Other Information on Investing in Snet Stock

Snet Systems financial ratios help investors to determine whether Snet Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Snet with respect to the benefits of owning Snet Systems security.
Macroaxis helps investors of all levels and skills to maximize the upside of all their holdings and minimize the risk associated with market volatility, economic swings, and company-specific events. View terms and conditions
 
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