It is best to consider a long-term outlook for a ticker by using Fundamental Analysis (FA) ratings. The rating of 1 to 100, where 1 is best and 100 is worst, is divided into thirds. The first third (a green rating of 1-33) indicates that the ticker is undervalued; the second third (a grey number between 34 and 66) means that the ticker is valued fairly; and the last third (red number of 67 to 100) reflects that the ticker is undervalued. We use an FA Score to show how many ratings show the ticker to be undervalued (green) or overvalued (red).
SBCF’s FA Score shows that 1 FA rating(s) are green whileSFNC’s FA Score has 2 green FA rating(s).
It is best to consider a short-term outlook for a ticker by using Technical Analysis (TA) indicators. We use Odds of Success as the percentage of outcomes which confirm successful trade signals in the past.
If the Odds of Success (the likelihood of the continuation of a trend) for each indicator are greater than 50%, then the generated signal is confirmed. A green percentage from 90% to 51% indicates that the ticker is in a bullish trend. A red percentage from 90% - 51% indicates that the ticker is in a bearish trend. All grey percentages are below 50% and are considered not to confirm the trend signal.
SBCF’s TA Score shows that 6 TA indicator(s) are bullish while SFNC’s TA Score has 4 bullish TA indicator(s).
SBCF (@Regional Banks) experienced а +3.63% price change this week, while SFNC (@Regional Banks) price change was +1.39% for the same time period.
The average weekly price growth across all stocks in the @Regional Banks industry was +1.14%. For the same industry, the average monthly price growth was +5.85%, and the average quarterly price growth was +20.86%.
SBCF is expected to report earnings on Jan 23, 2025.
SFNC is expected to report earnings on Jan 28, 2025.
Regional banks have a smaller reach than major banks, and cater mostly to one region of a country, such as a state or within a group of states. They offer services often similar – albeit with some limitations/smaller scale – compared to major banks. Taking deposits, making loans, mortgages, leases, credit cards , fund management, insurance and investment banking. SunTrust Banks, State Street Corp., M&T Bank Corp. are some examples of U.S. regional banks.
SBCF | SFNC | SBCF / SFNC | |
Capitalization | 2.1B | 2.42B | 87% |
EBITDA | N/A | N/A | - |
Gain YTD | 9.824 | 29.502 | 33% |
P/E Ratio | 20.13 | 13.98 | 144% |
Revenue | 567M | 782M | 73% |
Total Cash | 168M | 345M | 49% |
Total Debt | 156M | 1.34B | 12% |
SBCF | SFNC | ||
---|---|---|---|
OUTLOOK RATING 1..100 | 83 | 88 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 79 Overvalued | 59 Fair valued | |
PROFIT vs RISK RATING 1..100 | 72 | 68 | |
SMR RATING 1..100 | 13 | 12 | |
PRICE GROWTH RATING 1..100 | 41 | 40 | |
P/E GROWTH RATING 1..100 | 47 | 6 | |
SEASONALITY SCORE 1..100 | 75 | 50 |
Tickeron ratings are formulated such that a rating of 1 designates the most successful stocks in a given industry, while a rating of 100 points to the least successful stocks for that industry.
SFNC's Valuation (59) in the Major Banks industry is in the same range as SBCF (79) in the Regional Banks industry. This means that SFNC’s stock grew similarly to SBCF’s over the last 12 months.
SFNC's Profit vs Risk Rating (68) in the Major Banks industry is in the same range as SBCF (72) in the Regional Banks industry. This means that SFNC’s stock grew similarly to SBCF’s over the last 12 months.
SFNC's SMR Rating (12) in the Major Banks industry is in the same range as SBCF (13) in the Regional Banks industry. This means that SFNC’s stock grew similarly to SBCF’s over the last 12 months.
SFNC's Price Growth Rating (40) in the Major Banks industry is in the same range as SBCF (41) in the Regional Banks industry. This means that SFNC’s stock grew similarly to SBCF’s over the last 12 months.
SFNC's P/E Growth Rating (6) in the Major Banks industry is somewhat better than the same rating for SBCF (47) in the Regional Banks industry. This means that SFNC’s stock grew somewhat faster than SBCF’s over the last 12 months.
SBCF | SFNC | |
---|---|---|
RSI ODDS (%) | 2 days ago51% | 2 days ago73% |
Stochastic ODDS (%) | 2 days ago85% | 2 days ago57% |
Momentum ODDS (%) | 2 days ago67% | 2 days ago69% |
MACD ODDS (%) | 2 days ago63% | 2 days ago69% |
TrendWeek ODDS (%) | 2 days ago64% | 2 days ago66% |
TrendMonth ODDS (%) | 2 days ago61% | 2 days ago65% |
Advances ODDS (%) | 2 days ago61% | 2 days ago62% |
Declines ODDS (%) | 4 days ago69% | 5 days ago72% |
BollingerBands ODDS (%) | 2 days ago77% | 2 days ago74% |
Aroon ODDS (%) | 2 days ago62% | 2 days ago66% |
A.I.dvisor indicates that over the last year, SBCF has been closely correlated with ABCB. These tickers have moved in lockstep 92% of the time. This A.I.-generated data suggests there is a high statistical probability that if SBCF jumps, then ABCB could also see price increases.
Ticker / NAME | Correlation To SBCF | 1D Price Change % | ||
---|---|---|---|---|
SBCF | 100% | +1.87% | ||
ABCB - SBCF | 92% Closely correlated | +2.94% | ||
UCB - SBCF | 91% Closely correlated | +3.44% | ||
WSFS - SBCF | 90% Closely correlated | +3.01% | ||
PPBI - SBCF | 90% Closely correlated | +2.94% | ||
SSB - SBCF | 90% Closely correlated | +2.03% | ||
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A.I.dvisor indicates that over the last year, SFNC has been closely correlated with UBSI. These tickers have moved in lockstep 89% of the time. This A.I.-generated data suggests there is a high statistical probability that if SFNC jumps, then UBSI could also see price increases.
Ticker / NAME | Correlation To SFNC | 1D Price Change % | ||
---|---|---|---|---|
SFNC | 100% | +2.60% | ||
UBSI - SFNC | 89% Closely correlated | +2.56% | ||
SBCF - SFNC | 88% Closely correlated | +1.87% | ||
WSBC - SFNC | 88% Closely correlated | +1.08% | ||
WSFS - SFNC | 88% Closely correlated | +3.01% | ||
BUSE - SFNC | 87% Closely correlated | +1.71% | ||
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