Ses Ai Corp Stock Beta

SES Stock

USD 0.44 0.04 10.00%

SES AI Corp fundamentals help investors to digest information that contributes to SES AI's financial success or failures. It also enables traders to predict the movement of SES Stock. The fundamental analysis module provides a way to measure SES AI's intrinsic value by examining its available economic and financial indicators, including the cash flow records, the balance sheet account changes, the income statement patterns, and various microeconomic indicators and financial ratios related to SES AI stock.

Short Long Term Debt Total Total Assets

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SES AI Corp Company Beta Analysis

SES AI's Beta is one of the most important measures of equity market volatility. Beta can be thought of as asset elasticity or sensitivity to market. In other words, it is a number that shows the relationship of an equity instrument to the financial market in which this instrument is traded. For example, if Beta of equity is 2, it is expected to significantly outperform market when the market is going up and significantly underperform when the market is going down. Similarly, Beta of 1 indicates that an asset and market will generate similar returns over time.

Beta

Covariance

Variance

More About Beta | All Equity Analysis

Current SES AI Beta

0.4

Most of SES AI's fundamental indicators, such as Beta, are part of a valuation analysis module that helps investors searching for stocks that are currently trading at higher or lower prices than their real value. If the real value is higher than the market price, SES AI Corp is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.

SES Beta Driver Correlations

Understanding the fundamental principles of building solid financial models for SES AI is extremely important. It helps to project a fair market value of SES Stock properly, considering its historical fundamentals such as Beta. Since SES AI's main accounts across its financial reports are all linked and dependent on each other, it is essential to analyze all possible correlations between related accounts. However, instead of reviewing all of SES AI's historical financial statements, investors can examine the correlated drivers to determine its overall health. This can be effectively done using a conventional correlation matrix of SES AI's interrelated accounts and indicators.

	Total Assets	Total Stockholder Equity	Net Debt	Retained Earnings	Accounts Payable	Net Receivables	Total Liab	Total Current Assets	Intangible Assets	Common Stock	Short Term Debt	Current Deferred Revenue	Net Tangible Assets	Net Invested Capital	Net Working Capital	Property Plant Equipment	Capital Surpluse	Short Long Term Debt	Cash And Equivalents	Long Term Debt	Deferred Long Term Liab
Total Assets		0.89	-0.74	-0.23	0.71	0.18	0.19	0.99	0.26	-0.4	0.45	0.47	0.9	0.94	0.92	0.92	0.91	-0.47	0.91	-0.47	0.89
Total Stockholder Equity	0.89		-0.43	-0.38	0.53	-0.17	-0.28	0.85	-0.03	-0.18	0.5	0.26	0.89	0.73	0.91	0.85	0.88	-0.45	0.88	-0.45	0.86
Net Debt	-0.74	-0.43		-0.01	-0.56	-0.34	-0.62	-0.76	-0.46	0.42	-0.13	-0.4	-0.54	-0.74	-0.47	-0.62	-0.57	0.45	-0.57	0.45	-0.54
Retained Earnings	-0.23	-0.38	-0.01		0.09	0.36	0.35	-0.23	0.61	0.02	-0.09	0.27	-0.5	-0.27	-0.34	-0.49	-0.49	0.54	-0.49	0.54	-0.45
Accounts Payable	0.71	0.53	-0.56	0.09		0.35	0.37	0.69	0.19	-0.13	0.56	0.63	0.44	0.72	0.6	0.47	0.45	0.04	0.45	0.04	0.48
Net Receivables	0.18	-0.17	-0.34	0.36	0.35		0.76	0.23	0.56	-0.44	-0.06	0.49	0.02	0.34	0.06	0.1	0.06	0.06	0.06	0.06	0.06
Total Liab	0.19	-0.28	-0.62	0.35	0.37	0.76		0.25	0.63	-0.48	-0.14	0.43	-0.03	0.4	-0.03	0.09	0.02	-0.01	0.02	-0.01	0.02
Total Current Assets	0.99	0.85	-0.76	-0.23	0.69	0.23	0.25		0.34	-0.51	0.33	0.52	0.9	0.96	0.92	0.92	0.91	-0.46	0.91	-0.46	0.89
Intangible Assets	0.26	-0.03	-0.46	0.61	0.19	0.56	0.63	0.34		-0.67	-0.25	0.43	0.16	0.3	0.16	0.2	0.18	-0.12	0.18	-0.12	0.14
Common Stock	-0.4	-0.18	0.42	0.02	-0.13	-0.44	-0.48	-0.51	-0.67		0.27	-0.39	-0.47	-0.56	-0.45	-0.51	-0.49	0.3	-0.49	0.3	-0.48
Short Term Debt	0.45	0.5	-0.13	-0.09	0.56	-0.06	-0.14	0.33	-0.25	0.27		0.22	0.33	0.34	0.38	0.33	0.32	-0.11	0.32	-0.11	0.33
Current Deferred Revenue	0.47	0.26	-0.4	0.27	0.63	0.49	0.43	0.52	0.43	-0.39	0.22		0.27	0.55	0.46	0.3	0.28	0.13	0.28	0.13	0.32
Net Tangible Assets	0.9	0.89	-0.54	-0.5	0.44	0.02	-0.03	0.9	0.16	-0.47	0.33	0.27		0.84	0.92	0.99	1.0	-0.68	1.0	-0.68	0.96
Net Invested Capital	0.94	0.73	-0.74	-0.27	0.72	0.34	0.4	0.96	0.3	-0.56	0.34	0.55	0.84		0.89	0.89	0.86	-0.38	0.86	-0.38	0.87
Net Working Capital	0.92	0.91	-0.47	-0.34	0.6	0.06	-0.03	0.92	0.16	-0.45	0.38	0.46	0.92	0.89		0.9	0.92	-0.35	0.92	-0.35	0.95
Property Plant Equipment	0.92	0.85	-0.62	-0.49	0.47	0.1	0.09	0.92	0.2	-0.51	0.33	0.3	0.99	0.89	0.9		1.0	-0.7	1.0	-0.7	0.95
Capital Surpluse	0.91	0.88	-0.57	-0.49	0.45	0.06	0.02	0.91	0.18	-0.49	0.32	0.28	1.0	0.86	0.92	1.0		-0.69	1.0	-0.69	0.95
Short Long Term Debt	-0.47	-0.45	0.45	0.54	0.04	0.06	-0.01	-0.46	-0.12	0.3	-0.11	0.13	-0.68	-0.38	-0.35	-0.7	-0.69		-0.69	1.0	-0.5
Cash And Equivalents	0.91	0.88	-0.57	-0.49	0.45	0.06	0.02	0.91	0.18	-0.49	0.32	0.28	1.0	0.86	0.92	1.0	1.0	-0.69		-0.69	0.95
Long Term Debt	-0.47	-0.45	0.45	0.54	0.04	0.06	-0.01	-0.46	-0.12	0.3	-0.11	0.13	-0.68	-0.38	-0.35	-0.7	-0.69	1.0	-0.69		-0.5
Deferred Long Term Liab	0.89	0.86	-0.54	-0.45	0.48	0.06	0.02	0.89	0.14	-0.48	0.33	0.32	0.96	0.87	0.95	0.95	0.95	-0.5	0.95	-0.5

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In a nutshell, Beta is a measure of individual stock risk relative to the overall volatility of the stock market. and is calculated based on very sound finance theory - Capital Assets Pricing Model (CAPM).However, since Beta is calculated based on historical price movements it may not predict how a firm's stock is going to perform in the future.

Competition

Predict SES AI

In accordance with the recently published financial statements, SES AI Corp has a Beta of 0.402. This is 52.14% lower than that of the Automobile Components sector and 72.84% lower than that of the Consumer Discretionary industry. The beta for all United States stocks is notably lower than that of the firm.

SES Beta Peer Comparison

Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses SES AI's direct or indirect competition against its Beta to detect undervalued stocks with similar characteristics or determine the stocks which would be a good addition to a portfolio. Peer analysis of SES AI could also be used in its relative valuation, which is a method of valuing SES AI by comparing valuation metrics of similar companies.

SES AI is currently under evaluation in beta category among its peers.

SES AI Current Valuation Drivers

We derive many important indicators used in calculating different scores of SES AI from analyzing SES AI's financial statements. These drivers represent accounts that assess SES AI's ability to generate profits relative to its revenue, operating costs, and shareholders' equity. Below are some of SES AI's important valuation drivers and their relationship over time.

		2020	2021	2022	2023	2024	2025 (projected)
Enterprise Value		3.7B	447.3M	813.6M	586.6M	674.5M	640.8M

SES AI Institutional Holders

Institutional Holdings refers to the ownership stake in SES AI that is held by large financial organizations, pension funds or endowments. Institutions may purchase large blocks of SES AI's outstanding shares and can exert considerable influence upon its management. Institutional holders may also work to push the share price higher once they own the stock. Extensive social media coverage, TV shows, articles in high-profile magazines, and presentations at investor conferences help move the stock higher, increasing SES AI's value.

		Shares
Two Sigma Investments Llc	2024-12-31	513 K
Goldman Sachs Group Inc	2024-12-31	484 K
Jpmorgan Chase & Co	2024-12-31	460.7 K
Nuveen Asset Management, Llc	2024-12-31	447.7 K
Fidelity International Ltd	2024-12-31	400 K
Millennium Management Llc	2024-12-31	395.3 K
Susquehanna International Group, Llp	2024-12-31	344.9 K
Bank Of New York Mellon Corp	2024-12-31	334.4 K
Morgan Stanley - Brokerage Accounts	2024-12-31	300.6 K
Temasek Holdings Ltd.	2024-12-31	30.7 M
General Motors Holdings Llc	2024-12-31	19.7 M

As returns on the market increase, SES AI's returns are expected to increase less than the market. However, during the bear market, the loss of holding SES AI is expected to be smaller as well.

SES Fundamentals

	Return On Equity	-0.31
	Return On Asset	-0.19
	Operating Margin	(14.28) %
	Current Valuation	(104.99 M)
	Shares Outstanding	320.78 M
	Shares Owned By Insiders	16.77 %
	Shares Owned By Institutions	32.32 %
	Number Of Shares Shorted	16.41 M
	Price To Book	0.53 X
	Price To Sales	78.62 X
	Revenue	2.04 M
	Gross Profit	1.29 M
	EBITDA	(109.25 M)
	Net Income	(100.19 M)
	Cash And Equivalents	106.62 M
	Cash Per Share	1.16 X
	Total Debt	10.56 M
	Debt To Equity	0.03 %
	Current Ratio	27.52 X
	Book Value Per Share	0.77 X
	Cash Flow From Operations	(66.09 M)
	Short Ratio	1.01 X
	Earnings Per Share	(0.31) X
	Target Price	1.0
	Number Of Employees	250
	Beta	0.4
	Market Capitalization	160.38 M
	Total Asset	329.79 M
	Retained Earnings	(298.87 M)
	Working Capital	254.09 M
	Net Asset	329.79 M

About SES AI Fundamental Analysis

The Macroaxis Fundamental Analysis modules help investors analyze SES AI Corp's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of SES AI using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of SES AI Corp based on its fundamental data. In general, a quantitative approach, as applied to this company, focuses on analyzing financial statements comparatively, whereas a qaualitative method uses data that is important to a company's growth but cannot be measured and presented in a numerical way.

Please read more on our fundamental analysis page.

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Additional Tools for SES Stock Analysis

When running SES AI's price analysis, check to measure SES AI'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 SES AI is operating at the current time. Most of SES AI's value examination focuses on studying past and present price action to predict the probability of SES AI's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move SES AI's price. Additionally, you may evaluate how the addition of SES AI to your portfolios can decrease your overall portfolio volatility.

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