MFG 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 MFG is a Sell 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).
MFG’s FA Score shows that 3 FA rating(s) are green whileSBNY’s FA Score has 2 green FA rating(s).
- MFG’s FA Score: 3 green, 2 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.
MFG’s TA Score shows that 5 TA indicator(s) are bullish while SBNY’s TA Score has 1 bullish TA indicator(s).
- MFG’s TA Score: 5 bullish, 4 bearish.
- SBNY’s TA Score: 1 bullish, 3 bearish.
Price Growth
MFG (@Regional Banks) experienced а +8.20% price change this week, while SBNY (@Regional Banks) price change was +1.54% 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%.
Reported Earning Dates
MFG is expected to report earnings on Jan 30, 2025.
SBNY is expected to report earnings on Jan 14, 2025.
Industries' Descriptions
@Regional Banks (+0.40% 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.
| MFG | SBNY | MFG / SBNY | |
| Capitalization | 49.2B | 3.15M | 1,562,401% |
| EBITDA | N/A | N/A | - |
| Gain YTD | 44.373 | -17.546 | -253% |
| P/E Ratio | 11.31 | 0.00 | 586,995% |
| Revenue | 2.88T | 2.7B | 106,825% |
| Total Cash | N/A | 11.3B | - |
| Total Debt | 20.53T | 2.31B | 888,106% |
MFG | SBNY | ||
|---|---|---|---|
OUTLOOK RATING 1..100 | 48 | 50 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 50 Fair valued | 1 Undervalued | |
PROFIT vs RISK RATING 1..100 | 9 | 100 | |
SMR RATING 1..100 | 1 | 8 | |
PRICE GROWTH RATING 1..100 | 40 | 34 | |
P/E GROWTH RATING 1..100 | 33 | 96 | |
SEASONALITY SCORE 1..100 | n/a | 95 |
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 somewhat better than the same rating for MFG (50) in the Major Banks industry. This means that SBNY’s stock grew somewhat faster than MFG’s over the last 12 months.
MFG's Profit vs Risk Rating (9) in the Major Banks industry is significantly better than the same rating for SBNY (100) in the Regional Banks industry. This means that MFG’s stock grew significantly faster than SBNY’s over the last 12 months.
MFG's SMR Rating (1) in the Major Banks industry is in the same range as SBNY (8) in the Regional Banks industry. This means that MFG’s stock grew similarly to SBNY’s over the last 12 months.
SBNY's Price Growth Rating (34) in the Regional Banks industry is in the same range as MFG (40) in the Major Banks industry. This means that SBNY’s stock grew similarly to MFG’s over the last 12 months.
MFG's P/E Growth Rating (33) in the Major Banks industry is somewhat better than the same rating for SBNY (96) in the Regional Banks industry. This means that MFG’s stock grew somewhat faster than SBNY’s over the last 12 months.
| MFG | SBNY | |
|---|---|---|
| RSI ODDS (%) | 3 days ago 64% | N/A |
| Stochastic ODDS (%) | 3 days ago 50% | 18 days ago 81% |
| Momentum ODDS (%) | 3 days ago 72% | N/A |
| MACD ODDS (%) | 3 days ago 61% | N/A |
| TrendWeek ODDS (%) | 3 days ago 61% | 18 days ago 84% |
| TrendMonth ODDS (%) | 3 days ago 61% | 18 days ago 90% |
| Advances ODDS (%) | 3 days ago 56% | N/A |
| Declines ODDS (%) | 10 days ago 48% | 18 days ago 82% |
| BollingerBands ODDS (%) | 3 days ago 53% | 18 days ago 82% |
| Aroon ODDS (%) | 3 days ago 64% | 18 days ago 90% |
MFG and
Correlation & Price change
A.I.dvisor indicates that over the last year, MFG has been closely correlated with SUTNY. These tickers have moved in lockstep 71% of the time. This A.I.-generated data suggests there is a high statistical probability that if MFG jumps, then SUTNY could also see price increases.
| Ticker / NAME | Correlation To MFG | 1D Price Change % | ||
|---|---|---|---|---|
| MFG | 100% | +2.52% | ||
| SUTNY - MFG | 71% Closely correlated | -1.05% | ||
| SBNY - MFG | 38% Loosely correlated | +3.13% | ||
| DBSDY - MFG | 37% Loosely correlated | +0.02% | ||
| AMTB - MFG | 36% Loosely correlated | -0.58% | ||
| CFB - MFG | 35% Loosely correlated | -0.81% | ||
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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% | +3.13% | ||
| WAL - SBNY | 84% Closely correlated | -1.20% | ||
| FITB - SBNY | 74% Closely correlated | -0.57% | ||
| SNV - SBNY | 74% Closely correlated | +0.09% | ||
| OZK - SBNY | 73% Closely correlated | +1.51% | ||
| BKU - SBNY | 73% Closely correlated | +0.10% | ||
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