Compare Autozi to Camping, Group, KAR, Kingsway, CarMax, Lithia

Comparing Autozi to Camping, Group, KAR, Kingsway, CarMax, Lithia can provide valuable insights into potential diversification opportunities when combining these positions into a portfolio. By using this module, you can analyze the advantages of specified entities, assessing both technical and fundamental indicators across various peers. Please use the input box below to enter the symbols for specific investments you'd like to analyze. Check out your portfolio center.

Specify up to 10 symbols:

Correlation Matrix

Typically, diversification allows investors to combine positions across different asset classes to reduce overall portfolio risk. Correlation between positions in your portfolio represents the degree of relationship between the price movements of corresponding instruments. A correlation of about +1.0 implies that the prices 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.

	AZI	CWH	GPI	KAR	KFS	KMX	LAD
AZI		-0.12	0.33	0.63	-0.18	0.69	0.07	AZI
CWH	-0.12		0.63	0.24	0.02	-0.07	0.27	CWH
GPI	0.33	0.63		0.78	0.23	0.17	0.68	GPI
KAR	0.63	0.24	0.78		0.14	0.41	0.57	KAR
KFS	-0.18	0.02	0.23	0.14		-0.53	0.76	KFS
KMX	0.69	-0.07	0.17	0.41	-0.53		-0.32	KMX
LAD	0.07	0.27	0.68	0.57	0.76	-0.32		LAD
	AZI	CWH	GPI	KAR	KFS	KMX	LAD

Click cells to compare fundamentals

Check Volatility

Backtest Portfolio

High positive correlations

KAR	+ 0.78	GPI
LAD	+ 0.76	KFS
KMX	+ 0.69	AZI
LAD	+ 0.68	GPI
KAR	+ 0.63	AZI
GPI	+ 0.63	CWH

High negative correlations

KMX	- 0.53	KFS
LAD	- 0.32	KMX
KFS	- 0.18	AZI
CWH	- 0.12	AZI
KMX	- 0.07	CWH

Risk-Adjusted Indicators

There is a big difference between a company's stock performing well and the company itself 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 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
AZI	9.14	(0.10)	0.00	0.05	11.33	(10.99)	19.85	(24.17)	79.38
CWH	2.37	0.01	0.04	0.10	2.93	(2.60)	6.46	(3.59)	22.09
GPI	1.53	0.10	0.10	0.16	1.44	(1.69)	3.60	(2.49)	10.04
KAR	1.49	0.08	0.08	0.15	1.34	(1.71)	2.62	(2.01)	13.95
KFS	1.38	0.16	0.08	0.35	1.37	(1.70)	3.11	(2.51)	10.73
KMX	1.35	(0.15)	0.00	(0.02)	0.00	0.00	3.38	(3.24)	8.69
LAD	1.78	0.22	0.16	0.23	1.59	(2.21)	4.90	(3.18)	13.35

Cross Equities Net Income Analysis

Compare Autozi Internet Tech, Camping World Holdings, and Group 1 Automotive Net Income Over Time

	2010	2011	2012	2013	2014	2015	2016	2017	2018	2019	2020	2021	2022	2023	2024
AZI	(4.8 M)	(4.8 M)	(4.8 M)	(4.8 M)	(4.8 M)	(4.8 M)	(4.8 M)	(4.8 M)	(4.8 M)	(4.8 M)	(4.8 M)	(5.6 M)	(10.2 M)	(9.1 M)	(9.6 M)
CWH	20.8 M	20.8 M	20.8 M	20.8 M	123.6 M	178.5 M	191.7 M	(18.6 M)	10.4 M	(120.3 M)	344.2 M	642.1 M	351 M	31 M	29.5 M
GPI	11.4 M	82.4 M	100.2 M	114 M	93 M	94 M	147.1 M	213.4 M	157.8 M	174 M	286.5 M	552.1 M	751.5 M	601.6 M	631.7 M
KAR	(38.3 M)	72.2 M	92 M	67.7 M	169.3 M	214.6 M	222.4 M	362 M	328 M	92.4 M	500 K	66.5 M	28.6 M	(154.1 M)	(146.4 M)
KFS	2.8 M	(20.1 M)	(52.1 M)	(36.9 M)	(12.8 M)	1.1 M	803 K	(15.5 M)	(30.1 M)	(26.6 M)	(5.4 M)	1.9 M	24.7 M	23.6 M	24.7 M
KMX	(9.3 M)	434.3 M	434.3 M	492.6 M	597.4 M	627 M	627 M	664.1 M	842.4 M	746.9 M	746.9 M	1.2 B	484.8 M	479.2 M	396.4 M
LAD	3.4 M	58.9 M	80.4 M	106 M	138.7 M	183 M	197.1 M	245.2 M	265.7 M	271.5 M	470.3 M	1.1 B	1.3 B	1 B	1.1 B

Autozi Internet Tech, Camping World Holdings, and Group 1 Automotive Net Income description

Net income is one of the most important fundamental items in finance. It plays a large role in entities financial statement analysis. It represents the amount of money remaining after all of organizations operating expenses, interest, taxes and preferred stock dividends have been deducted from a company total revenue.

Competitive Analysis

Better Than Average

Worse Than Peers

View Performance Chart

	AZI	CWH	GPI	KAR	KFS	KMX	LAD
	7.53 1.72 Autozi	1.57 23.79 Camping	0.94 414.81 Group	1.48 19.86 KAR	1.60 8.88 Kingsway	0.23 78.03 CarMax	0.42 371.06 Lithia
Market Volatility (90 Days Market Risk)	Abnormally volatile	Not too volatile	Very steady	Not too volatile	Slightly risky	Very steady	Very steady
Market Performance (90 Days Performance)	Very Weak	OK	OK	OK	OK	Very Weak	Good
Odds of Financial Distress (Probability Of Bankruptcy)	Very High	Below Average	Very Small	Low	About Average	Very Low	Very Low
Current Valuation (Equity Enterprise Value)	Over Valued	Under Valued	Fairly Valued	Over Valued	Over Valued	Fairly Valued	Fairly Valued
Buy or Sell Advice (Average Analysts Consensus)	Not Available	Strong Buy	Strong Buy	Buy	Strong Sell	Buy	Strong Buy
Trade Advice (90 Days Macroaxis Advice)	Strong Sell	Cautious Hold	Hold	Buy	Strong Hold	Strong Hold	Strong Hold
Current Ratio	N/A	1.42 X	1.00 X	1.13 X	0.92 X	2.75 X	1.66 X
Net Asset	19.04 M	4.85 B	7.77 B	4.73 B	197.72 M	27.52 B	19.63 B
Profit Margin	(0.10) %	(0) %	0.03 %	0.04 %	(0.09) %	0.02 %	0.02 %
EBITDA	(6.9 M)	343.63 M	1.1 B	110.8 M	5.93 M	1.04 B	1.97 B
Operating Margin	(0.04) %	0.04 %	0.04 %	0.16 %	(0) %	0.03 %	0.05 %
Current Valuation	114.9 M	4.97 B	10.94 B	2.32 B	306.95 M	30.77 B	23.58 B
Price To Book	N/A	13.27 X	1.86 X	1.60 X	24.64 X	1.96 X	1.50 X
Retained Earnings	(166.02 M)	185.24 M	3.65 B	624.4 M	(346.87 M)	4.13 B	5.01 B
Current Asset	N/A	1.06 B	2.19 B	2.45 B	N/A	2.47 B	1.88 B
Five Year Return	N/A	2.80 %	1.15 %	3.31 %	N/A	N/A	0.79 %
Beta	N/A	2.52	1.33	1.45	-0.083	1.69	1.63
Number Of Employees	83	12.26 K	16.01 K	3.83 K	397	30 K	27.45 K
Shares Outstanding	70.39 M	60.13 M	13.32 M	106.84 M	27.57 M	154.92 M	26.64 M
Cash Flow From Operations	N/A	310.81 M	190.2 M	235.4 M	(26.19 M)	458.62 M	(472.4 M)
Annual Yield	N/A	0.02 %	0 %	N/A	N/A	N/A	0.01 %
Total Debt	12.29 M	3.86 B	3.89 B	427.4 M	45.61 M	19.53 B	11.33 B
Return On Equity	N/A	-0.31	0.18	0.0369	-0.26	0.0685	0.13
Return On Asset	-0.23	0.0229	0.0669	0.0342	-0.0035	0.0154	0.047
Number Of Shares Shorted	3.36 K	7.57 M	1.77 M	4.02 M	420.24 K	15.49 M	2.55 M
Book Value Per Share	(2.15) X	2.38 X	228.59 X	12.42 X	0.37 X	39.78 X	248.30 X
Current Liabilities	N/A	863.1 M	2.04 B	2.21 B	N/A	1.01 B	1.59 B
Total Asset	19.04 M	4.85 B	7.77 B	4.73 B	197.72 M	27.52 B	19.63 B
Short Ratio	0.03 X	5.09 X	15.01 X	8.08 X	12.83 X	9.64 X	9.83 X
Debt To Equity	N/A	9.53 %	1.50 %	1.26 %	N/A	3.59 %	1.37 %
Target Price	N/A	28.09	419.38	20.83	1.0	82.22	384.2
Last Dividend Paid	N/A	0.5	0.47	N/A	N/A	N/A	2.09
Shares Owned By Institutions	N/A	76.26 %	97.74 %	98.20 %	45.34 %	99.65 %	98.13 %
Market Capitalization	139.58 M	1.43 B	5.52 B	2.12 B	244.85 M	12.09 B	9.88 B
Price To Earning	N/A	5.87 X	9.85 X	116.25 X	(16.38) X	14.73 X	9.87 X
Price To Earnings To Growth	N/A	1.70 X	3.22 X	1.34 X	N/A	0.95 X	1.26 X
Price To Sales	1.19 X	0.24 X	0.29 X	1.26 X	2.25 X	0.44 X	0.28 X
Net Income	N/A	50.6 M	601.6 M	(154.1 M)	24.01 M	479.2 M	1 B
Earnings Per Share	(0.22) X	(0.66) X	37.54 X	0.18 X	(0.29) X	2.66 X	29.28 X
Shares Owned By Insiders	40.70 %	2.09 %	2.26 %	1.80 %	27.76 %	0.35 %	1.87 %
Revenue	117.73 M	6.23 B	17.87 B	1.65 B	109.12 M	26.54 B	31.04 B
Working Capital	(28.97 M)	401.27 M	285.6 M	363.1 M	N/A	2.91 B	2.02 B
Cash And Equivalents	N/A	130.13 M	47.9 M	225.7 M	64.17 M	102.72 M	246.7 M
Cash Per Share	N/A	3.52 X	1.79 X	6.95 X	0.50 X	0.36 X	8.44 X
Gross Profit	N/A	2.26 B	2.97 B	685.1 M	66.96 M	2.8 B	5.15 B
Day Typical Price	1.72	23.92	413.07	19.73	8.88	77.87	369.62
Accumulation Distribution	0.27	0.0408	0.0231	0.0266	0.0168	0.0159	0.0285
Market Facilitation Index	0.53	1.0	9.65	0.53	0.15	1.25	10.67
Daily Balance Of Power	(0.26)	(0.38)	0.399	0.5472	0.9333	(0.14)	(0.15)
Period Momentum Indicator	(0.14)	(0.38)	3.85	0.29	0.14	(0.18)	(1.55)
Rate Of Daily Change	0.92	0.98	1.01	1.01	1.02	1.0	1.0
Day Median Price	1.72	23.99	412.21	19.67	8.88	77.79	368.9
Price Action Indicator	(0.07)	(0.39)	4.53	0.34	0.075	0.16	1.39
Relative Strength Index	68.48	39.76	53.96	49.28	63.76	44.93	66.1
Coefficient Of Variation	10234.99	1388.9	783.72	985.29	816.0	(9,818)	621.83
Mean Deviation	9.14	2.37	1.53	1.49	1.38	1.35	1.78
Jensen Alpha	(0.10)	0.0086	0.1041	0.079	0.1608	(0.15)	0.2201
Total Risk Alpha	(1.62)	(0.20)	(0.01)	(0.07)	(0.02)	(0.26)	0.0689
Sortino Ratio	0.0021	0.0423	0.0967	0.0785	0.0797	N/A	0.1593
Downside Variance	146.97	10.23	2.95	2.21	2.46	N/A	3.2
Standard Deviation	13.54	3.36	2.14	2.2	1.89	1.82	2.44
Kurtosis	4.71	2.88	2.85	11.66	2.39	0.7427	3.41
Potential Upside	19.85	6.46	3.6	2.62	3.11	3.38	4.9
Treynor Ratio	0.0523	0.1006	0.1603	0.1537	0.3523	(0.02)	0.2288
Maximum Drawdown	79.38	22.09	10.04	13.95	10.73	8.69	13.35
Variance	183.38	11.31	4.58	4.85	3.57	3.31	5.93
Market Risk Adjusted Performance	0.0623	0.1106	0.1703	0.1637	0.3623	(0.01)	0.2388
Risk Adjusted Performance	0.0168	0.0621	0.1027	0.0831	0.0984	(0)	0.1282
Skewness	0.9793	(0.09)	1.23	2.59	0.8097	0.4412	1.17
Semi Deviation	11.33	2.93	1.44	1.34	1.37	N/A	1.59
Information Ratio	0.0019	0.0402	0.0777	0.053	0.066	(0.07)	0.1169
Value At Risk	(24.17)	(3.59)	(2.49)	(2.01)	(2.51)	(3.24)	(3.18)
Expected Short fall	(10.99)	(2.60)	(1.69)	(1.71)	(1.70)	N/A	(2.21)
Downside Deviation	12.12	3.2	1.72	1.49	1.57	N/A	1.79
Semi Variance	128.46	8.57	2.08	1.79	1.88	N/A	2.52

Market Neutrality

One of the main advantages of trading using market-neutral strategies is that every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses.

Please note, the success of pairs trading depends heavily on the modeling and forecasting of the spread time series. However, in general, pair trading minimizes risk from directional movements in the market unless the strategy's equities are perfectly correlated. For example, if an entire industry or sector drops because of unexpected headlines, the first equity's short position will appreciate offsetting losses from the drop in the long position's value.

Five steps to successful analysis of competition

Competitive analysis is the process of researching and evaluating the competitive landscape of a business entity. It provides an understanding of the company's strengths, weaknesses, opportunities, and threats (SWOT) in relation to its competition. The competition analysis typically involves several steps, including:

Identifying the key players in the market: This involves identifying the major competitors across the sector or industry, 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 the competitive landscape.
Identifying opportunities and threats: This involves using the information gathered during the analysis to identify opportunities and threats 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.

Trending Themes

If you are a self-driven investor, you will appreciate our idea-generating investing themes. Our themes help you align your investments inspirations with your core values and are essential building blocks of your portfolios. A typical investing theme is an unweighted collection of up to 20 funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of equities with common characteristics such as industry and growth potential, volatility, or market segment.

	Cars Invested over 100 shares	Go
	Electronics Invested over 500 shares	Go
	Furniture Invested over 500 shares	Go
	Artificial Intelligence Invested few shares	Go
	Business Services Invested few shares	Go

Check out your portfolio center.

Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Commodity Directory module to find actively traded commodities issued by global exchanges.

Other Complementary Tools

	CEOs Directory Screen CEOs from public companies around the world
	ETFs Find actively traded Exchange Traded Funds (ETF) from around the world
	Sync Your Broker Sync your existing holdings, watchlists, positions or portfolios from thousands of online brokerage services, banks, investment account aggregators and robo-advisors.
	Portfolio Center All portfolio management and optimization tools to improve performance of your portfolios
	Efficient Frontier Plot and analyze your portfolio and positions against risk-return landscape of the market.

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

Feedback Blog

Made with optimal in San Francisco

2024 Macroaxis LLC