Sumitomo Mitsui Financial Stock Price on January 26, 2024
| SMFG Stock | USD 16.28 0.07 0.43% |
If you're considering investing in Sumitomo Stock, it is important to understand the factors that can impact its price. As of today, the current price of Sumitomo Mitsui stands at 16.28, as last reported on the 2nd of November, with the highest price reaching 16.33 and the lowest price hitting 16.16 during the day. At this point, Sumitomo Mitsui is very steady. Sumitomo Mitsui Financial owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0924, which indicates the firm had a 0.0924 % return per unit of risk over the last 3 months. We have found thirty technical indicators for Sumitomo Mitsui Financial, which you can use to evaluate the volatility of the company. Please validate Sumitomo Mitsui's Risk Adjusted Performance of 0.0677, semi deviation of 1.31, and Coefficient Of Variation of 1018.21 to confirm if the risk estimate we provide is consistent with the expected return of 0.14%. Sumitomo Stock price history is provided at the adjusted basis, taking into account all of the recent filings.
Price Book 1.0682 | Price Sales 0.0312 | Shares Float 3.9 B | Dividend Share 122 | Wall Street Target Price 18.6107 |
Sumitomo Mitsui Valuation on January 26, 2024
It is possible to determine the worth of Sumitomo Mitsui on a given historical date. On January 26, 2024 Sumitomo was worth 9.43 at the beginning of the trading date compared to the closed value of 9.47. We use multiple weighted factors in our valuation methodologies to arrive at the intrinsic value of Sumitomo Mitsui stock. Still, in general, we apply an absolute valuation method to find Sumitomo Mitsui's value based on its fundamental and technical indicators available within our service. As compared to an absolute model, our relative valuation model uses a comparative analysis of Sumitomo Mitsui where we calculate exposure to its market risk and evaluate relevant financial multiples and ratios against Sumitomo Mitsui's related companies.
| Open | High | Low | Close | Volume | |
| 9.67 | 9.71 | 9.58 | 9.64 | 1,706,200 | |
01/26/2024 | 9.43 | 9.50 | 9.40 | 9.47 | 1,320,400 |
| 9.54 | 9.56 | 9.47 | 9.53 | 1,175,000 |
| Backtest Sumitomo Mitsui | | | Sumitomo Mitsui History | | | Sumitomo Mitsui Valuation | Previous | Next |
Sumitomo Mitsui Trading Date Momentum on January 26, 2024
| On January 29 2024 Sumitomo Mitsui Financial was traded for 9.53 at the closing time. The top price for the day was 9.56 and the lowest listed price was 9.47 . The trading volume for the day was 1.2 M. The trading history from January 29, 2024 was a factor to the next trading day price rise. The trading price change against the next closing price was 0.63% . The trading price change against the current closing price is 2.96% . |
Sumitomo Mitsui Financial Fundamentals Correlations and Trends
By evaluating Sumitomo Mitsui's financials over time, investors can gain insight into future company performance. However, you can also analyze the published financial statements to find patterns among Sumitomo Mitsui's main balance sheet or income statement drivers and many other relevant indicators that can statistically be found significantly correlated or uncorrelated. Sumitomo financial account trend analysis is a perfect complement when working with valuation or volatility modules.About Sumitomo Mitsui Stock history
Sumitomo Mitsui investors dedicate a lot of time and effort to gaining insight into how a market's past behavior relates to its future. Access to timely market data for Sumitomo is vital when making an investment decision, and regardless of whether you use fundamental or technical analysis, your return on investment in Sumitomo Mitsui Financial will depend on recognizing future opportunities and eliminating past mistakes. Historical data analysis is the study of market behavior over a given time. Recorded market-related data such as price, volatility, and volume can be quantified and studied over a defined period. Through a detailed examination of a market's past behavior, traders and investors can gain perspective on the inner workings of that market. The information obtained throughout analyzing Sumitomo Mitsui stock prices may prove useful in developing a viable investing in Sumitomo Mitsui
Sumitomo Mitsui Financial Group, Inc., together with its subsidiaries, provides commercial banking, leasing, securities, consumer finance, and other services in Japan, the Americas, Europe, the Middle East, Asia, and Oceania. Sumitomo Mitsui Financial Group, Inc. was incorporated in 2002 and is headquartered in Tokyo, Japan. Sumitomo Mitsui operates under BanksDiversified classification in the United States and is traded on New York Stock Exchange. It employs 101000 people.
Sumitomo Mitsui Stock Technical Analysis
Sumitomo Mitsui technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.
Price Boundaries
Sumitomo Mitsui Period Price Range
Low | November 2, 2025
| High |
0.00 | 0.00 |
Sumitomo Mitsui Financial cannot be verified against its exchange. Please verify the symbol is currently traded on New York Stock Exchange. If you still believe the symbol you are trying to look up is valid, please let us know, and we will check it as soon as possible.
Sumitomo Mitsui November 2, 2025 Market Strength
Market strength indicators help investors to evaluate how Sumitomo Mitsui stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Sumitomo Mitsui shares will generate the highest return on investment. By undertsting and applying Sumitomo Mitsui stock market strength indicators, traders can identify Sumitomo Mitsui Financial entry and exit signals to maximize returns
Sumitomo Mitsui Technical and Predictive Indicators
Predictive indicators are helping investors to find signals for Sumitomo Mitsui's price direction in advance. Along with the technical and fundamental analysis of Sumitomo Stock historical price patterns, it is also worthwhile for investors to track various predictive indicators of Sumitomo to make sure they correctly time the market and exploit it's hidden potentials. Even though most predictive indicators are useful for the short-term horizon, it's virtually impossible to predict the unforeseen market. For traders with a short-term horizon, predictive indicators add value when properly applied. Long-term investors, however, may find many predictive indicators less useful.
| Risk Adjusted Performance | 0.0677 | |||
| Jensen Alpha | 0.0119 | |||
| Total Risk Alpha | (0.11) | |||
| Sortino Ratio | 0.0208 | |||
| Treynor Ratio | 0.1156 |
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Complementary Tools for Sumitomo Stock analysis
When running Sumitomo Mitsui's price analysis, check to measure Sumitomo Mitsui'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 Sumitomo Mitsui is operating at the current time. Most of Sumitomo Mitsui's value examination focuses on studying past and present price action to predict the probability of Sumitomo Mitsui's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Sumitomo Mitsui's price. Additionally, you may evaluate how the addition of Sumitomo Mitsui to your portfolios can decrease your overall portfolio volatility.
| Pair Correlation Compare performance and examine fundamental relationship between any two equity instruments | |
| Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm |