Bank Historical Financial Ratios
| BK Stock | USD 56.29 1.04 1.88% |
Bank of New York is presently reporting on over 113 different financial statement accounts. To analyze all of these accounts together requires a lot of time and effort. However, using these accounts to derive some meaningful and actionable indicators such as Dividend Yield of 0.0318 or PTB Ratio of 0.95 will help investors to properly organize and evaluate Bank of New York financial condition quickly.
Bank |
About Bank Financial Ratios Analysis
Bank of New YorkFinancial ratios are relationships based on a company's financial information. They can serve as useful tools to evaluate Bank of New York investment potential. Financial ratio analysis can also be defined as the process of presenting financial ratios, which are mathematical indicators calculated by comparing key financial information appearing on Bank financial statements. Financial ratios are useful tools that help investors analyze and compare relationships between different pieces of financial information across Bank of New York history.
Bank of New York Financial Ratios Chart
Bank of New financial ratios usually calculated using numerical values taken directly from Bank of New York financial statements such as income statements or balance sheets. They help investors to obtain meaningful information about Bank of New York. Most financial ratios help to conduct quantitative analysis to assess vital information about the company's valuation as well as profitability and liquidity indicators such as leverage, growth, profit margins, and different types of rates of return.
At this time, Bank of New York's Net Income Per Share is quite stable compared to the past year. Sales General And Administrative To Revenue is expected to rise to 0.30 this year, although the value of PTB Ratio will most likely fall to 0.95. Add Fundamental
Price To Sales Ratio
Price to Sales Ratio is figured by comparing Bank of New York stock price to its revenues. An advantage to using Price to Sales ratio is that it is based on Bank of New York sales, a figure that is much harder to manipulate than other Bank of New multiples. Because sales tend to be more stable P/S ratio can be a good tool for screening cyclical companies fluctuating earnings patterns. A valuation ratio that compares a company’s stock price to its revenues, calculated by dividing the company’s market cap by its total sales or revenue over a 12-month period.Dividend Yield
Dividend Yield is Bank of New dividend as a percentage of Bank of New York stock price. Bank of New York dividend yield is a measure of Bank of New York stock productivity, which can be interpreted as interest rate earned on an Bank of New York investment. A financial ratio that shows how much a company pays out in dividends each year relative to its stock price, calculated as annual dividends per share divided by price per share.Ptb Ratio
Price-to-Book ratio, a financial valuation metric used to compare a company's current market price to its book value. It provides insight into the value that market participants place on the company's equity relative to its net asset value.Most ratios from Bank of New York's fundamentals are interrelated and interconnected. However, analyzing fundamentals ratios one by one will only give a small insight into Bank of New York current financial condition. On the other hand, looking into the entire matrix of fundamentals ratios, and analyzing their relationships over time can provide a more complete picture of the company financial strength now and in the future. Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Bank of New. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in industry. At this time, Bank of New York's Net Income Per Share is quite stable compared to the past year. Sales General And Administrative To Revenue is expected to rise to 0.30 this year, although the value of PTB Ratio will most likely fall to 0.95.
| 2021 | 2022 | 2023 | 2024 (projected) | Dividend Yield | 0.0267 | 0.0373 | 0.0364 | 0.0318 | Price To Sales Ratio | 3.17 | 2.3 | 1.21 | 1.15 |
Bank of New York fundamentals Correlations
Click cells to compare fundamentals
Bank of New York Account Relationship Matchups
High Positive Relationship
High Negative Relationship
Bank of New York fundamentals Accounts
| 2019 | 2020 | 2021 | 2022 | 2023 | 2024 (projected) | ||
| Price To Sales Ratio | 2.94 | 2.44 | 3.17 | 2.3 | 1.21 | 1.15 | |
| Dividend Yield | 0.0273 | 0.0343 | 0.0267 | 0.0373 | 0.0364 | 0.0318 | |
| Ptb Ratio | 1.14 | 0.83 | 1.15 | 0.91 | 1.0 | 0.95 | |
| Days Sales Outstanding | 14.16 | 12.03 | 137.82 | 19.53 | 92.97 | 66.06 | |
| Book Value Per Share | 44.15 | 51.41 | 50.52 | 50.22 | 52.13 | 54.74 | |
| Free Cash Flow Yield | 0.0618 | 0.1 | (0.0236) | 0.0328 | 0.37 | 0.17 | |
| Invested Capital | 0.77 | 1.48 | 1.55 | 1.78 | 1.59 | 1.67 | |
| Operating Cash Flow Per Share | 0.1 | 5.66 | 3.33 | 18.58 | 7.54 | 7.92 | |
| Capex To Depreciation | (0.92) | (0.75) | (0.65) | (0.82) | (0.7) | (0.73) | |
| Pb Ratio | 1.14 | 0.83 | 1.15 | 0.91 | 1.0 | 0.95 | |
| Ev To Sales | (2.2) | (6.54) | (2.89) | (2.87) | (0.55) | (0.52) | |
| Free Cash Flow Per Share | (1.19) | 4.28 | 1.91 | 16.92 | 5.98 | 6.28 | |
| Roic | 0.0605 | 0.0318 | 0.0343 | 0.0579 | (1.5E-5) | (1.4E-5) | |
| Net Income Per Share | 4.73 | 4.06 | 4.41 | 3.17 | 4.19 | 4.4 | |
| Capex To Revenue | (0.0752) | (0.079) | (0.0777) | (0.0839) | (0.0362) | (0.038) | |
| Cash Per Share | 183.53 | 252.12 | 195.8 | 197.87 | 215.94 | 226.73 | |
| Pocfratio | 492.62 | 7.5 | 17.43 | 2.45 | 6.9 | 13.04 | |
| Interest Coverage | 1.28 | 3.94 | 20.42 | 2.36 | (8.61E-4) | (8.18E-4) | |
| Payout Ratio | 0.3 | 0.29 | 0.36 | 0.53 | 0.45 | 0.48 | |
| Capex To Operating Cash Flow | (12.6) | (0.24) | (0.43) | (0.0893) | (0.21) | (0.22) | |
| Pfcf Ratio | (42.45) | 9.91 | 30.49 | 2.69 | 8.7 | 9.13 | |
| Income Quality | 0.0216 | 1.39 | 0.75 | 5.86 | 1.8 | 2.44 | |
| Roe | 0.11 | 0.079 | 0.0873 | 0.0632 | 0.0804 | 0.13 | |
| Ev To Operating Cash Flow | (368.05) | (20.08) | (15.92) | (3.06) | (3.11) | (3.27) | |
| Pe Ratio | 10.65 | 10.45 | 13.16 | 14.35 | 12.42 | 15.81 | |
| Return On Tangible Assets | 0.0123 | 0.008053 | 0.008911 | 0.006653 | 0.00846 | 0.00872 | |
| Ev To Free Cash Flow | 31.72 | (26.52) | (27.84) | (3.36) | (3.92) | (4.11) | |
| Earnings Yield | 0.0939 | 0.0957 | 0.076 | 0.0697 | 0.0805 | 0.0877 | |
| Intangibles To Total Assets | 0.0537 | 0.0437 | 0.0508 | 0.0469 | 0.0526 | 0.0671 | |
| Net Debt To E B I T D A | (14.55) | (30.46) | (20.06) | (9.66) | (1.1K) | (1.0K) | |
| Current Ratio | 7.09 | 7.62 | 8.97 | 6.87 | 1.73 | 1.64 | |
| Tangible Book Value Per Share | 22.6 | 28.75 | 24.41 | 26.88 | 24.82 | 26.07 | |
| Receivables Turnover | 25.78 | 30.34 | 2.65 | 18.69 | 3.93 | 3.73 | |
| Graham Number | 68.52 | 68.53 | 70.82 | 59.87 | 70.11 | 73.62 | |
| Shareholders Equity Per Share | 44.15 | 51.41 | 50.52 | 50.22 | 52.13 | 54.74 | |
| Debt To Equity | 0.77 | 1.48 | 1.55 | 1.78 | 1.59 | 1.67 | |
| Capex Per Share | (1.29) | (1.37) | (1.43) | (1.66) | (1.56) | (1.48) | |
| Graham Net Net | (265.64) | (345.66) | (375.07) | (344.32) | (177.6) | (186.48) |
Bank of New York Investors Sentiment
The influence of Bank of New York's investor sentiment on the probability of its price appreciation or decline could be a good factor in your decision-making process regarding taking a position in Bank. The overall investor sentiment generally increases the direction of a stock movement in a one-year investment horizon. However, the impact of investor sentiment on the entire stock market does not have solid backing from leading economists and market statisticians.
Investor biases related to Bank of New York's public news can be used to forecast risks associated with an investment in Bank. The trend in average sentiment can be used to explain how an investor holding Bank can time the market purely based on public headlines and social activities around Bank of New. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
Bank of New York's market sentiment shows the aggregated news analyzed to detect positive and negative mentions from the text and comments. The data is normalized to provide daily scores for Bank of New York's and other traded tickers. The bigger the bubble, the more accurate is the estimated score. Higher bars for a given day show more participation in the average Bank of New York's news discussions. The higher the estimated score, the more favorable is the investor's outlook on Bank of New York.
Bank of New York Implied Volatility | 23.67 |
Bank of New York's implied volatility exposes the market's sentiment of Bank of New stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if Bank of New York's implied volatility is high, the market thinks the stock has potential for high price swings in either direction. On the other hand, the low implied volatility suggests that Bank of New York stock will not fluctuate a lot when Bank of New York's options are near their expiration.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Bank of New York in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Bank of New York's short interest history, or implied volatility extrapolated from Bank of New York options trading.
Pair Trading with Bank of New York
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Bank of New York position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Bank of New York will appreciate offsetting losses from the drop in the long position's value.Moving together with Bank Stock
| 0.64 | BX | Blackstone Group Financial Report 18th of July 2024 | PairCorr |
| 0.78 | GS | Goldman Sachs Group Financial Report 17th of July 2024 | PairCorr |
The ability to find closely correlated positions to Bank of New York could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Bank of New York when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Bank of New York - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Bank of New to buy it.
The correlation of Bank of New York is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Bank of New York moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Bank of New York moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Bank of New York can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Bank of New. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in industry. You can also try the Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
Complementary Tools for Bank Stock analysis
When running Bank of New York's price analysis, check to measure Bank of New York'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 Bank of New York is operating at the current time. Most of Bank of New York's value examination focuses on studying past and present price action to predict the probability of Bank of New York's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Bank of New York's price. Additionally, you may evaluate how the addition of Bank of New York to your portfolios can decrease your overall portfolio volatility.
| Equity Analysis Research over 250,000 global equities including funds, stocks and ETFs to find investment opportunities | |
| Pair Correlation Compare performance and examine fundamental relationship between any two equity instruments | |
| Transaction History View history of all your transactions and understand their impact on performance | |
| Content Syndication Quickly integrate customizable finance content to your own investment portal | |
| Sectors List of equity sectors categorizing publicly traded companies based on their primary business activities | |
| Portfolio File Import Quickly import all of your third-party portfolios from your local drive in csv format | |
| Global Markets Map Get a quick overview of global market snapshot using zoomable world map. Drill down to check world indexes | |
| AI Portfolio Architect Use AI to generate optimal portfolios and find profitable investment opportunities | |
| Portfolio Anywhere Track or share privately all of your investments from the convenience of any device | |
| ETFs Find actively traded Exchange Traded Funds (ETF) from around the world | |
| Global Correlations Find global opportunities by holding instruments from different markets | |
| Technical Analysis Check basic technical indicators and analysis based on most latest market data |
Is Bank of New York's industry 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 Bank of New York. If investors know Bank 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 Bank of New York listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth (0.68) | Dividend Share 1.58 | Earnings Share 3.87 | Revenue Per Share 22.17 | Quarterly Revenue Growth 0.084 |
The market value of Bank of New York is measured differently than its book value, which is the value of Bank that is recorded on the company's balance sheet. Investors also form their own opinion of Bank of New York's value that differs from its market value or its book value, called intrinsic value, which is Bank of New York'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 Bank of New York's market value can be influenced by many factors that don't directly affect Bank of New York'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 Bank of New York's value and its price as these two are different measures arrived at by different means. Investors typically determine if Bank of New York is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Bank of New York'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.