SOFTWARE Competitors

SWM Stock

31.00 1.00 3.33%

SOFTWARE MANSION SPOLKA competes with Banco Santander, UniCredit SpA, CEZ As, Polski Koncern, and Dino Polska; as well as few others. Analyzing SOFTWARE MANSION 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 SOFTWARE MANSION to its intrinsic valuation because they are able to contrast its competitors on a relative basis. Check out World Market Map to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in housing.

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 SOFTWARE MANSION competition on your existing holdings.

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Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of SOFTWARE MANSION's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.

SOFTWARE MANSION Competition Correlation Matrix

Typically, diversification allows investors to combine positions across different asset classes to reduce overall portfolio risk. Correlation between SOFTWARE MANSION 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 SOFTWARE 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 SOFTWARE MANSION SPOLKA does not affect the price movement of the other competitor.

	SAN	UCG	CEZ	PKN	DNP	ALE	SPL	KGH	PCO	PEO
SAN		0.72	0.38	-0.65	0.42	-0.53	-0.51	0.36	-0.07	-0.48	SAN
UCG	0.72		0.62	-0.85	0.56	-0.67	-0.57	0.21	-0.22	-0.59	UCG
CEZ	0.38	0.62		-0.57	0.47	-0.47	-0.19	-0.21	-0.54	-0.31	CEZ
PKN	-0.65	-0.85	-0.57		-0.56	0.67	0.68	-0.09	0.37	0.66	PKN
DNP	0.42	0.56	0.47	-0.56		-0.73	-0.39	-0.04	-0.11	-0.35	DNP
ALE	-0.53	-0.67	-0.47	0.67	-0.73		0.62	0.08	0.33	0.75	ALE
SPL	-0.51	-0.57	-0.19	0.68	-0.39	0.62		-0.43	-0.03	0.89	SPL
KGH	0.36	0.21	-0.21	-0.09	-0.04	0.08	-0.43		0.76	-0.22	KGH
PCO	-0.07	-0.22	-0.54	0.37	-0.11	0.33	-0.03	0.76		0.17	PCO
PEO	-0.48	-0.59	-0.31	0.66	-0.35	0.75	0.89	-0.22	0.17		PEO
	SAN	UCG	CEZ	PKN	DNP	ALE	SPL	KGH	PCO	PEO

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High positive correlations

PEO	+ 0.89	SPL
PCO	+ 0.76	KGH
PEO	+ 0.75	ALE
UCG	+ 0.72	SAN
SPL	+ 0.68	PKN
ALE	+ 0.67	PKN

High negative correlations

PKN	- 0.85	UCG
ALE	- 0.73	DNP
ALE	- 0.67	UCG
PKN	- 0.65	SAN
PEO	- 0.59	UCG
PKN	- 0.57	CEZ

Risk-Adjusted Indicators

There is a big difference between SOFTWARE Stock performing well and SOFTWARE MANSION 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 SOFTWARE MANSION's 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 Deviation	Jensen Alpha	Sortino Ratio	Treynor Ratio	Semi Deviation	Expected Shortfall	Potential Upside	Value @Risk	Maximum Drawdown
SAN	1.32	0.07	0.01	0.26	2.10	(1.27)	2.22	(3.53)	9.22
UCG	1.47	0.19	0.07	0.48	1.53	(2.12)	2.88	(3.70)	9.55
CEZ	1.04	0.10	0.00	(1.45)	1.22	(1.21)	1.96	(2.09)	6.75
PKN	1.32	(0.18)	0.00	(9.20)	0.00	0.00	2.50	(2.91)	7.71
DNP	2.02	0.22	0.07	0.56	2.30	(2.50)	5.03	(2.77)	16.97
ALE	1.50	(0.40)	0.00	(1.44)	0.00	0.00	2.66	(3.49)	15.02
SPL	1.46	(0.23)	0.00	(0.80)	0.00	0.00	2.97	(3.09)	11.50
KGH	1.79	(0.10)	0.00	(0.27)	0.00	0.00	3.84	(3.69)	14.11
PCO	1.63	(0.20)	0.00	(0.29)	0.00	0.00	3.43	(3.14)	11.47
PEO	1.57	(0.23)	0.00	(0.37)	0.00	0.00	3.00	(3.09)	10.89

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SOFTWARE MANSION Competitive Analysis

The better you understand SOFTWARE MANSION competitors, the better chance you have of utilizing it as a position in your portfolios. From an individual investor's perspective, SOFTWARE MANSION's 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 SOFTWARE MANSION's competition over several years is one of the best ways to analyze its investment potential.

Better Than Average

Worse Than Peers

View Performance Chart

	SWM	SAN	UCG	CEZ	PKN	DNP	ALE	SPL	KGH	PCO
	3.33 31.00 SOFTWARE	1.61 18.95 Banco	4.55 163.80 UniCredit	0.80 164.30 CEZ	0.78 51.83 Polski	0.30 396.30 Dino	0.35 28.82 Allegroeu	0.57 443.00 Santander	0.15 130.50 KGHM	1.91 15.89 Pepco
Market Volatility (90 Days Market Risk)	Very steady	Not too volatile	Very steady	Very steady	Very steady	Very steady	Very steady	Very steady	Very steady	Not too volatile
Market Performance (90 Days Performance)	Very Weak	Insignificant	Modest	Modest	Very Weak	OK	Very Weak	Very Weak	Very Weak	Very Weak
Odds of Financial Distress (Probability Of Bankruptcy)	Unknown	Low	Low	Low	Low	Low	About Average	Low	Low	Low
Current Valuation (Equity Enterprise Value)	Over Valued	Over Valued	Fairly Valued	Over Valued	Over Valued	Over Valued	Over Valued	Over Valued	Over Valued	Under 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)	Strong Sell	Strong Sell	Cautious Hold	Strong Sell	Strong Sell	Cautious Hold	Strong Sell	Strong Sell	Strong Sell	Sell
Net Asset		1.73 T	857.8 B	1.18 T	106.75 B	7.17 B	16.87 B	244.88 B	48.03 B	4 B
Profit Margin		0.23	0.35	0.2	0.11	0.0578	-0.25	0.24	0.2	0.036
EBITDA		28.87 B	N/A	55.27 B	19.45 B	1.27 B	2.1 B	N/A	10.06 B	669.9 M
Operating Margin		0.37	0.42	N/A	0.12	0.0781	0.15	0.53	0.13	0.0594
Price To Book		0.51	0.4	4.78	0.84	9.63	3.1	1.01	0.8	4.52
Current Valuation		N/A	N/A	104.74 B	80.18 B	38.7 B	34.32 B	N/A	30.06 B	29.69 B
Beta		1.42	1.7	0.51	0.8	0.51	0.76	1.05	1.44	N/A
Number Of Employees		206.46 K	10	27.5 K	35.42 K	35.65 K	3.61 K	10	33.5 K	43.21 K
Shares Outstanding		16.76 B	1.94 B	536.79 M	1.16 B	98.04 M	1.06 B	102.82 M	200 M	575 M
Cash Flow From Operations		56.69 B	(7.52 B)	59.16 B	13.29 B	1.33 B	1.41 B	(3.9 B)	4.27 B	363.31 M
Annual Yield		0.0315	0.0284	0.0467	0.0551	N/A	N/A	0.0094	0.0224	N/A
Total Debt		280.34 B	N/A	95.92 B	13.74 B	1.03 B	5.36 B	N/A	4.9 B	546.2 M
Return On Equity		0.11	0.1	0.41	0.35	0.31	-0.21	0.11	0.23	0.16
Z Score		0.6	N/A	0.6	4.0	21.4	3.0	N/A	3.0	28.0
Return On Asset		0.0065	0.0073	0.0306	0.12	0.12	0.0402	0.0119	0.0564	0.0475
Book Value Per Share		5.38	28.9	N/A	137.23	39.52	8.39	277.11	161.03	1.99
Total Asset		1.73 T	857.8 B	1.18 T	106.75 B	7.17 B	16.87 B	244.88 B	48.03 B	4 B
Target Price		N/A	N/A	818.0	83.72	384.86	31.14	292.57	114.37	53.03
Last Dividend Paid		N/A	N/A	N/A	3.5	N/A	N/A	N/A	3.0	N/A
Shares Owned By Institutions		30.84	43.98	4.2	15.08	21.6	38.07	11.72	29.68	8.19
Market Capitalization		282.76 B	179.97 B	112.51 B	73.7 B	35.23 B	31.25 B	29.61 B	26.72 B	24.78 B
Price To Earnings To Growth		13.26	N/A	N/A	N/A	N/A	N/A	N/A	N/A	N/A
Price To Sales		5.21	8.16	1.2	0.34	2.06	3.49	2.5	0.73	1.09
Net Income		9.61 B	6.46 B	13.43 B	11.12 B	805.3 M	1.09 B	1.11 B	6.16 B	173.6 M
Earnings Per Share		2.56	15.82	21.28	40.1	10.28	0.63	20.45	33.3	1.39
Shares Owned By Insiders		0.53	8.58	69.7	16.8	51.16	33.16	67.4	31.79	78.88
Revenue		54.22 B	18.27 B	236.14 B	131.34 B	13.36 B	5.35 B	9.05 B	29.8 B	4.82 B
Gross Profit		41.27 B	18.27 B	102.01 B	20.55 B	3.32 B	2.42 B	11.49 B	6.57 B	1.97 B
Day Typical Price	31.07	19.15	164.99	163.33	51.96	396.67	28.92	440.63	130.03	16.09
Accumulation Distribution	0.0064	33.87	40.63	11.53	43825.28	4536.08	69850.68	4331.41	10627.62	54214.56
Market Facilitation Index	0.2	6.0E-4	0.0091	0.0044	0.0	0.0	N/A	2.0E-4	0.0	0.0
Daily Balance Of Power	5.0	(0.51)	(0.99)	0.4483	(0.31)	(0.16)	(0.13)	0.1282	0.0588	(0.42)
Period Momentum Indicator	1.0	(0.31)	(7.80)	1.3	(0.41)	(1.20)	(0.10)	2.5	0.2	(0.31)
Rate Of Daily Change	1.03	0.98	0.95	1.01	0.99	1.0	1.0	1.01	1.0	0.98
Day Median Price	31.1	19.26	165.59	162.85	52.03	396.85	28.98	439.45	129.8	16.19
Price Action Indicator	0.4	(0.46)	(5.69)	2.1	(0.40)	(1.15)	(0.21)	4.8	0.8	(0.45)
Coefficient Of Variation	(2,337)	1441.08	768.94	1468.08	(979.14)	1098.59	(649.17)	(1,078)	(4,043)	(1,566)
Mean Deviation	1.6	1.32	1.47	1.04	1.32	2.02	1.5	1.46	1.79	1.63
Jensen Alpha	(0.13)	0.0701	0.1904	0.1036	(0.18)	0.2216	(0.40)	(0.23)	(0.1)	(0.20)
Total Risk Alpha	(0.39)	(0.12)	(0.01)	(0.11)	(0.40)	(0.13)	(0.68)	(0.49)	(0.39)	(0.43)
Sortino Ratio	N/A	0.0064	0.0715	(0)	N/A	0.0683	N/A	N/A	N/A	N/A
Downside Variance	N/A	5.5	3.89	1.87	N/A	6.23	N/A	N/A	N/A	N/A
Standard Deviation	2.21	1.79	1.93	1.57	1.67	3.08	2.35	2.13	2.42	2.15
Kurtosis	0.7716	1.7	0.3644	7.5	0.224	6.9	8.44	4.44	2.21	0.4044
Potential Upside	3.56	2.22	2.88	1.96	2.5	5.03	2.66	2.97	3.84	3.43
Treynor Ratio	(0.49)	0.2565	0.4769	(1.45)	(9.20)	0.5557	(1.44)	(0.80)	(0.27)	(0.29)
Maximum Drawdown	9.93	9.22	9.55	6.75	7.71	16.97	15.02	11.5	14.11	11.47
Variance	4.89	3.22	3.71	2.47	2.78	9.46	5.53	4.55	5.86	4.64
Market Risk Adjusted Performance	(0.48)	0.2665	0.4869	(1.44)	(9.19)	0.5657	(1.43)	(0.79)	(0.26)	(0.28)
Risk Adjusted Performance	(0.03)	0.0587	0.1052	0.0571	(0.07)	0.0769	(0.11)	(0.06)	(0.01)	(0.04)
Skewness	(0.18)	(1.16)	(0.23)	1.35	0.2075	1.09	(2.28)	(0.37)	(0.81)	0.1235
Semi Deviation	N/A	2.1	1.53	1.22	N/A	2.3	N/A	N/A	N/A	N/A
Information Ratio	(0.09)	0.0084	0.0732	(0)	(0.17)	0.0554	(0.20)	(0.14)	(0.07)	(0.11)
Value At Risk	(4.09)	(3.53)	(3.70)	(2.09)	(2.91)	(2.77)	(3.49)	(3.09)	(3.69)	(3.14)
Expected Short fall	N/A	(1.27)	(2.12)	(1.21)	N/A	(2.50)	N/A	N/A	N/A	N/A
Downside Deviation	N/A	2.35	1.97	1.37	N/A	2.5	N/A	N/A	N/A	N/A
Semi Variance	N/A	4.39	2.34	1.49	N/A	5.28	N/A	N/A	N/A	N/A

SOFTWARE MANSION Competition Performance Charts

Five steps to successful analysis of SOFTWARE MANSION Competition

SOFTWARE MANSION's 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 SOFTWARE MANSION SPOLKA in relation to its competition. SOFTWARE MANSION's competition analysis typically involves several steps, including:

Identifying the key players in the market: This involves identifying the major competitors of SOFTWARE MANSION 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 SOFTWARE MANSION's competitive landscape.
Identifying opportunities and threats: This involves using the information gathered during the analysis to identify opportunities and threats to SOFTWARE MANSION SPOLKA, 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 SOFTWARE MANSION position

In addition to having SOFTWARE MANSION 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.

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Additional Tools for SOFTWARE Stock Analysis

When running SOFTWARE MANSION's price analysis, check to measure SOFTWARE MANSION's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy SOFTWARE MANSION is operating at the current time. Most of SOFTWARE MANSION's value examination focuses on studying past and present price action to predict the probability of SOFTWARE MANSION's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move SOFTWARE MANSION's price. Additionally, you may evaluate how the addition of SOFTWARE MANSION to your portfolios can decrease your overall portfolio volatility.

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