Lyft Inc Stock Probability Of Bankruptcy

LYFT Stock  USD 17.18  0.43  2.44%   
LYFT's probability of distress is under 34% at this time. It has slight risk of undergoing some form of financial hardship in the near future. Probability of financial unrest prediction helps decision makers evaluate LYFT's chance of financial distress in relation to its going-concern outlook and evaluation. All items used in analyzing the odds of distress are taken from the LYFT balance sheet, as well as cash flow and income statements available from the company's most recent filings. Check out LYFT Piotroski F Score and LYFT Altman Z Score analysis.
  

LYFT Inc Company probability of financial unrest Analysis

LYFT's Probability Of Bankruptcy is a relative measure of the likelihood of financial distress. For stocks, the Probability Of Bankruptcy is the normalized value of Z-Score. For funds and ETFs, it is derived from a multi-factor model developed by Macroaxis. The score is used to predict the probability of a firm or a fund experiencing financial distress within the next 24 months. Unlike Z-Score, Probability Of Bankruptcy is the value between 0 and 100, indicating the firm's actual probability it will be financially distressed in the next 2 fiscal years.

Probability Of Bankruptcy

 = 

Normalized

Z-Score

More About Probability Of Bankruptcy | All Equity Analysis

Current LYFT Probability Of Bankruptcy

    
  Less than 34%  
Most of LYFT's fundamental indicators, such as Probability Of Bankruptcy, 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, LYFT Inc is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
Our calculation of LYFT probability of bankruptcy is based on Altman Z-Score and Piotroski F-Score, but not limited to these measures. To be applied to a broader range of industries and markets, we use several other techniques to enhance the accuracy of predicting LYFT odds of financial distress. These include financial statement analysis, different types of price predictions, earning estimates, analysis consensus, and basic intrinsic valuation. Please use the options below to get a better understanding of different measures that drive the calculation of LYFT Inc financial health.
Is Passenger Ground Transportation space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of LYFT. If investors know LYFT will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about LYFT listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share
(0.16)
Revenue Per Share
13.511
Quarterly Revenue Growth
0.315
Return On Assets
(0.02)
Return On Equity
(0.12)
The market value of LYFT Inc is measured differently than its book value, which is the value of LYFT that is recorded on the company's balance sheet. Investors also form their own opinion of LYFT's value that differs from its market value or its book value, called intrinsic value, which is LYFT's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because LYFT's market value can be influenced by many factors that don't directly affect LYFT's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between LYFT's value and its price as these two are different measures arrived at by different means. Investors typically determine if LYFT is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, LYFT's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.

LYFT Probability Of Bankruptcy Driver Correlations

Understanding the fundamental principles of building solid financial models for LYFT is extremely important. It helps to project a fair market value of LYFT Stock properly, considering its historical fundamentals such as Probability Of Bankruptcy. Since LYFT'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 LYFT'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 LYFT's interrelated accounts and indicators.
0.880.69-0.860.560.950.830.980.930.90.730.870.950.06-0.850.85-0.340.440.44-0.510.280.480.410.1
0.880.65-0.680.310.890.480.80.850.780.520.730.970.29-0.730.91-0.20.20.2-0.270.30.240.220.15
0.690.65-0.620.490.70.420.610.870.710.570.820.670.01-0.480.36-0.170.210.21-0.270.380.240.220.21
-0.86-0.68-0.62-0.74-0.69-0.77-0.8-0.87-0.98-0.95-0.93-0.830.370.97-0.710.57-0.74-0.740.82-0.21-0.8-0.680.01
0.560.310.49-0.740.440.650.540.610.720.680.720.48-0.64-0.630.28-0.20.390.39-0.490.630.460.280.5
0.950.890.7-0.690.440.740.950.860.780.540.730.910.24-0.690.81-0.210.160.16-0.280.290.230.160.2
0.830.480.42-0.770.650.740.90.680.730.690.710.65-0.2-0.720.57-0.350.530.53-0.580.190.560.450.02
0.980.80.61-0.80.540.950.90.850.830.680.790.880.09-0.780.79-0.340.390.39-0.460.240.440.380.1
0.930.850.87-0.870.610.860.680.850.940.760.970.92-0.06-0.810.71-0.290.460.46-0.510.380.480.420.12
0.90.780.71-0.980.720.780.730.830.940.890.950.9-0.29-0.940.76-0.470.620.62-0.720.290.680.550.05
0.730.520.57-0.950.680.540.690.680.760.890.850.67-0.41-0.910.57-0.710.820.82-0.90.040.90.79-0.11
0.870.730.82-0.930.720.730.710.790.970.950.850.83-0.25-0.850.63-0.340.620.62-0.640.390.620.540.1
0.950.970.67-0.830.480.910.650.880.920.90.670.830.1-0.850.92-0.310.360.36-0.440.310.410.360.13
0.060.290.010.37-0.640.24-0.20.09-0.06-0.29-0.41-0.250.10.260.210.34-0.43-0.430.5-0.21-0.47-0.39-0.04
-0.85-0.73-0.480.97-0.63-0.69-0.72-0.78-0.81-0.94-0.91-0.85-0.850.26-0.840.56-0.73-0.730.81-0.12-0.79-0.640.06
0.850.910.36-0.710.280.810.570.790.710.760.570.630.920.21-0.84-0.30.370.37-0.450.090.420.31-0.03
-0.34-0.2-0.170.57-0.2-0.21-0.35-0.34-0.29-0.47-0.71-0.34-0.310.340.56-0.3-0.6-0.60.730.45-0.74-0.830.43
0.440.20.21-0.740.390.160.530.390.460.620.820.620.36-0.43-0.730.37-0.61.0-0.92-0.220.960.87-0.47
0.440.20.21-0.740.390.160.530.390.460.620.820.620.36-0.43-0.730.37-0.61.0-0.92-0.220.960.87-0.47
-0.51-0.27-0.270.82-0.49-0.28-0.58-0.46-0.51-0.72-0.9-0.64-0.440.50.81-0.450.73-0.92-0.920.27-0.99-0.80.42
0.280.30.38-0.210.630.290.190.240.380.290.040.390.31-0.21-0.120.090.45-0.22-0.220.27-0.27-0.250.86
0.480.240.24-0.80.460.230.560.440.480.680.90.620.41-0.47-0.790.42-0.740.960.96-0.99-0.270.86-0.43
0.410.220.22-0.680.280.160.450.380.420.550.790.540.36-0.39-0.640.31-0.830.870.87-0.8-0.250.86-0.46
0.10.150.210.010.50.20.020.10.120.05-0.110.10.13-0.040.06-0.030.43-0.47-0.470.420.86-0.43-0.46
Click cells to compare fundamentals
The Probability of Bankruptcy SHOULD NOT be confused with the actual chance of a company to file for chapter 7, 11, 12, or 13 bankruptcy protection. Macroaxis simply defines Financial Distress as an operational condition where a company is having difficulty meeting its current financial obligations towards its creditors or delivering on the expectations of its investors. Macroaxis derives these conditions daily from both public financial statements as well as analysis of stock prices reacting to market conditions or economic downturns, including short-term and long-term historical volatility. Other factors taken into account include analysis of liquidity, revenue patterns, R&D expenses, and commitments, as well as public headlines and social sentiment.
Competition

Based on the latest financial disclosure, LYFT Inc has a Probability Of Bankruptcy of 34.0%. This is 15.97% lower than that of the Ground Transportation sector and significantly higher than that of the Industrials industry. The probability of bankruptcy for all United States stocks is 14.64% higher than that of the company.

LYFT Probability Of Bankruptcy Peer Comparison

Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses LYFT's direct or indirect competition against its Probability Of Bankruptcy to detect undervalued stocks with similar characteristics or determine the stocks which would be a good addition to a portfolio. Peer analysis of LYFT could also be used in its relative valuation, which is a method of valuing LYFT by comparing valuation metrics of similar companies.
LYFT is currently under evaluation in probability of bankruptcy category among its peers.

LYFT Main Bankruptcy Drivers

201920202021202220232024 (projected)
Return On Assets(0.46)(0.37)(0.21)(0.35)(0.0746)(0.0783)
Asset Turnover0.640.510.670.90.960.49
Gross Profit Margin0.40.390.490.410.330.3
Net Debt118.0M639.6M461.8M744.3M568.3M596.7M
Total Current Liabilities2.5B2.1B2.5B3.1B3.0B2.2B
Non Current Liabilities Total385.9M928.3M916.3M1.0B1.1B989.4M
Total Assets5.7B4.7B4.8B4.6B4.6B4.4B
Total Current Assets3.2B2.6B2.8B2.6B2.6B2.7B
Total Cash From Operating Activities(105.7M)(1.4B)(101.7M)(237.3M)(98.2M)(103.2M)

LYFT ESG Sustainability

Some studies have found that companies with high sustainability scores are getting higher valuations than competitors with lower social-engagement activities. While most ESG disclosures are voluntary and do not directly affect the long term financial condition, LYFT's sustainability indicators can be used to identify proper investment strategies using environmental, social, and governance scores that are crucial to LYFT's managers, analysts, and investors.
Environmental
Governance
Social

LYFT Fundamentals

About LYFT Fundamental Analysis

The Macroaxis Fundamental Analysis modules help investors analyze LYFT Inc's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of LYFT using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of LYFT Inc 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.

Thematic Opportunities

Explore Investment Opportunities

Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.
Explore Investing Ideas  

Additional Tools for LYFT Stock Analysis

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