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).
FFWM’s FA Score shows that 1 FA rating(s) are green whileSFBS’s FA Score has 3 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.
FFWM’s TA Score shows that 8 TA indicator(s) are bullish while SFBS’s TA Score has 4 bullish TA indicator(s).
FFWM (@Regional Banks) experienced а -0.90% price change this week, while SFBS (@Regional Banks) price change was -1.46% for the same time period.
The average weekly price growth across all stocks in the @Regional Banks industry was +0.40%. For the same industry, the average monthly price growth was +3.87%, and the average quarterly price growth was +18.03%.
FFWM is expected to report earnings on Feb 04, 2025.
SFBS is expected to report earnings on Jan 27, 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.
FFWM | SFBS | FFWM / SFBS | |
Capitalization | 407M | 3.57B | 11% |
EBITDA | N/A | N/A | - |
Gain YTD | -20.117 | 43.811 | -46% |
P/E Ratio | 3.63 | 17.31 | 21% |
Revenue | 175M | 427M | 41% |
Total Cash | N/A | 112M | - |
Total Debt | 1.58B | 64.7M | 2,445% |
FFWM | SFBS | ||
---|---|---|---|
OUTLOOK RATING 1..100 | 72 | 16 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 89 Overvalued | 100 Overvalued | |
PROFIT vs RISK RATING 1..100 | 100 | 27 | |
SMR RATING 1..100 | 25 | 13 | |
PRICE GROWTH RATING 1..100 | 43 | 38 | |
P/E GROWTH RATING 1..100 | 78 | 11 | |
SEASONALITY SCORE 1..100 | n/a | n/a |
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.
FFWM's Valuation (89) in the Regional Banks industry is in the same range as SFBS (100). This means that FFWM’s stock grew similarly to SFBS’s over the last 12 months.
SFBS's Profit vs Risk Rating (27) in the Regional Banks industry is significantly better than the same rating for FFWM (100). This means that SFBS’s stock grew significantly faster than FFWM’s over the last 12 months.
SFBS's SMR Rating (13) in the Regional Banks industry is in the same range as FFWM (25). This means that SFBS’s stock grew similarly to FFWM’s over the last 12 months.
SFBS's Price Growth Rating (38) in the Regional Banks industry is in the same range as FFWM (43). This means that SFBS’s stock grew similarly to FFWM’s over the last 12 months.
SFBS's P/E Growth Rating (11) in the Regional Banks industry is significantly better than the same rating for FFWM (78). This means that SFBS’s stock grew significantly faster than FFWM’s over the last 12 months.
FFWM | SFBS | |
---|---|---|
RSI ODDS (%) | 3 days ago82% | 3 days ago82% |
Stochastic ODDS (%) | 3 days ago70% | 3 days ago58% |
Momentum ODDS (%) | 3 days ago71% | 3 days ago82% |
MACD ODDS (%) | 3 days ago63% | 3 days ago78% |
TrendWeek ODDS (%) | 3 days ago78% | 3 days ago60% |
TrendMonth ODDS (%) | 3 days ago72% | 3 days ago69% |
Advances ODDS (%) | 7 days ago64% | 7 days ago65% |
Declines ODDS (%) | 3 days ago75% | 3 days ago58% |
BollingerBands ODDS (%) | 3 days ago71% | 3 days ago68% |
Aroon ODDS (%) | 3 days ago72% | 3 days ago59% |
A.I.dvisor indicates that over the last year, FFWM has been closely correlated with SFNC. These tickers have moved in lockstep 71% of the time. This A.I.-generated data suggests there is a high statistical probability that if FFWM jumps, then SFNC could also see price increases.
Ticker / NAME | Correlation To FFWM | 1D Price Change % | ||
---|---|---|---|---|
FFWM | 100% | -1.15% | ||
SFNC - FFWM | 71% Closely correlated | -0.12% | ||
HBNC - FFWM | 70% Closely correlated | -1.08% | ||
CNOB - FFWM | 70% Closely correlated | -1.13% | ||
VLY - FFWM | 70% Closely correlated | +0.49% | ||
SFBS - FFWM | 70% Closely correlated | -0.13% | ||
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A.I.dvisor indicates that over the last year, SFBS has been closely correlated with FBK. These tickers have moved in lockstep 88% of the time. This A.I.-generated data suggests there is a high statistical probability that if SFBS jumps, then FBK could also see price increases.
Ticker / NAME | Correlation To SFBS | 1D Price Change % | ||
---|---|---|---|---|
SFBS | 100% | -0.13% | ||
FBK - SFBS | 88% Closely correlated | -0.68% | ||
UBSI - SFBS | 88% Closely correlated | -0.19% | ||
WSFS - SFBS | 87% Closely correlated | -0.09% | ||
SSB - SFBS | 87% Closely correlated | -0.39% | ||
ABCB - SFBS | 87% Closely correlated | +0.01% | ||
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