BCOW vs SBNY
To compare these two companies we present long-term analysis, their fundamental ratings and make comparative short-term technical analysis which are presented below. The conclusion is BCOW is a Hold and SBNY is a Hold.
Long-Term Analysis
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).
BCOW’s FA Score shows that 1 FA rating(s) are green whileSBNY’s FA Score has 2 green FA rating(s).
- BCOW’s FA Score: 1 green, 4 red.
- SBNY’s FA Score: 2 green, 3 red.
Short-Term Analysis
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.
BCOW’s TA Score shows that 2 TA indicator(s) are bullish while SBNY’s TA Score has 2 bullish TA indicator(s).
- BCOW’s TA Score: 2 bullish, 6 bearish.
- SBNY’s TA Score: 2 bullish, 7 bearish.
Price Growth
BCOW (@Regional Banks) experienced а -1.39% price change this week, while SBNY (@Regional Banks) price change was -15.09% for the same time period.
The average weekly price growth across all stocks in the @Regional Banks industry was -2.30%. For the same industry, the average monthly price growth was -0.53%, and the average quarterly price growth was +20.55%.
Reported Earning Dates
BCOW is expected to report earnings on Mar 30, 2023.
SBNY is expected to report earnings on Jan 14, 2025.
Industries' Descriptions
@Regional Banks (-2.30% weekly)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.
| BCOW | SBNY | BCOW / SBNY | |
| Capitalization | 41.7M | 3.15M | 1,324% |
| EBITDA | N/A | N/A | - |
| Gain YTD | 42.346 | -15.672 | -270% |
| P/E Ratio | 1000.00 | 0.00 | 51,894,136% |
| Revenue | 12.8M | 2.7B | 0% |
| Total Cash | N/A | 11.3B | - |
| Total Debt | 78.5M | 2.31B | 3% |
BCOW | SBNY | ||
|---|---|---|---|
OUTLOOK RATING 1..100 | 77 | 2 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 95 Overvalued | 1 Undervalued | |
PROFIT vs RISK RATING 1..100 | 100 | 100 | |
SMR RATING 1..100 | 89 | 8 | |
PRICE GROWTH RATING 1..100 | 42 | 35 | |
P/E GROWTH RATING 1..100 | 1 | 96 | |
SEASONALITY SCORE 1..100 | 65 | 85 |
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.
SBNY's Valuation (1) in the Regional Banks industry is significantly better than the same rating for BCOW (95) in the null industry. This means that SBNY’s stock grew significantly faster than BCOW’s over the last 12 months.
SBNY's Profit vs Risk Rating (100) in the Regional Banks industry is in the same range as BCOW (100) in the null industry. This means that SBNY’s stock grew similarly to BCOW’s over the last 12 months.
SBNY's SMR Rating (8) in the Regional Banks industry is significantly better than the same rating for BCOW (89) in the null industry. This means that SBNY’s stock grew significantly faster than BCOW’s over the last 12 months.
SBNY's Price Growth Rating (35) in the Regional Banks industry is in the same range as BCOW (42) in the null industry. This means that SBNY’s stock grew similarly to BCOW’s over the last 12 months.
BCOW's P/E Growth Rating (1) in the null industry is significantly better than the same rating for SBNY (96) in the Regional Banks industry. This means that BCOW’s stock grew significantly faster than SBNY’s over the last 12 months.
| BCOW | SBNY | |
|---|---|---|
| RSI ODDS (%) | N/A | 1 day ago 76% |
| Stochastic ODDS (%) | 1 day ago 38% | 1 day ago 83% |
| Momentum ODDS (%) | 1 day ago 34% | 1 day ago 88% |
| MACD ODDS (%) | 1 day ago 52% | 1 day ago 81% |
| TrendWeek ODDS (%) | 1 day ago 43% | 1 day ago 86% |
| TrendMonth ODDS (%) | 1 day ago 43% | 1 day ago 76% |
| Advances ODDS (%) | 9 days ago 48% | 1 day ago 80% |
| Declines ODDS (%) | 1 day ago 43% | 4 days ago 84% |
| BollingerBands ODDS (%) | 1 day ago 51% | 1 day ago 81% |
| Aroon ODDS (%) | N/A | N/A |
BCOW and
Correlation & Price change
A.I.dvisor indicates that over the last year, BCOW has been loosely correlated with SBNY. These tickers have moved in lockstep 34% of the time. This A.I.-generated data suggests there is some statistical probability that if BCOW jumps, then SBNY could also see price increases.
| Ticker / NAME | Correlation To BCOW | 1D Price Change % | ||
|---|---|---|---|---|
| BCOW | 100% | -1.00% | ||
| SBNY - BCOW | 34% Loosely correlated | +3.85% | ||
| ECBK - BCOW | 34% Loosely correlated | -2.72% | ||
| CLST - BCOW | 27% Poorly correlated | -2.50% | ||
| SMBC - BCOW | 27% Poorly correlated | -5.62% | ||
| FFWM - BCOW | 27% Poorly correlated | -8.91% | ||
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SBNY and
Correlation & Price change
A.I.dvisor indicates that over the last year, SBNY has been closely correlated with WAL. These tickers have moved in lockstep 84% of the time. This A.I.-generated data suggests there is a high statistical probability that if SBNY jumps, then WAL could also see price increases.
| Ticker / NAME | Correlation To SBNY | 1D Price Change % | ||
|---|---|---|---|---|
| SBNY | 100% | +3.85% | ||
| WAL - SBNY | 84% Closely correlated | -5.20% | ||
| FITB - SBNY | 74% Closely correlated | -5.46% | ||
| SNV - SBNY | 74% Closely correlated | -5.53% | ||
| OZK - SBNY | 73% Closely correlated | -5.67% | ||
| BKU - SBNY | 73% Closely correlated | -5.24% | ||
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