LYG 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 LYG is a Buy and SBNY is a Buy.
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).
LYG’s FA Score shows that 3 FA rating(s) are green whileSBNY’s FA Score has 2 green FA rating(s).
- LYG’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.
LYG’s TA Score shows that 5 TA indicator(s) are bullish while SBNY’s TA Score has 4 bullish TA indicator(s).
- LYG’s TA Score: 5 bullish, 1 bearish.
- SBNY’s TA Score: 4 bullish, 6 bearish.
Price Growth
LYG (@Regional Banks) experienced а +0.99% price change this week, while SBNY (@Regional Banks) price change was +12.50% for the same time period.
The average weekly price growth across all stocks in the @Regional Banks industry was +2.64%. For the same industry, the average monthly price growth was +4.29%, and the average quarterly price growth was +14.71%.
Reported Earning Dates
LYG is expected to report earnings on Oct 23, 2024.
SBNY is expected to report earnings on Oct 15, 2024.
Industries' Descriptions
@Regional Banks (+2.64% 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.
| LYG | SBNY | LYG / SBNY | |
| Capitalization | 41.6B | 3.15M | 1,321,054% |
| EBITDA | N/A | N/A | - |
| Gain YTD | 35.778 | 40.546 | 88% |
| P/E Ratio | 6.79 | 0.00 | 352,126% |
| Revenue | 19.2B | 2.7B | 712% |
| Total Cash | N/A | 11.3B | - |
| Total Debt | 93.7B | 2.31B | 4,053% |
LYG | SBNY | ||
|---|---|---|---|
OUTLOOK RATING 1..100 | 20 | 26 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 29 Undervalued | 1 Undervalued | |
PROFIT vs RISK RATING 1..100 | 52 | 100 | |
SMR RATING 1..100 | 4 | 7 | |
PRICE GROWTH RATING 1..100 | 42 | 34 | |
P/E GROWTH RATING 1..100 | 21 | 86 | |
SEASONALITY SCORE 1..100 | 50 | 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.
SBNY's Valuation (1) in the Regional Banks industry is in the same range as LYG (29) in the Major Banks industry. This means that SBNY’s stock grew similarly to LYG’s over the last 12 months.
LYG's Profit vs Risk Rating (52) in the Major Banks industry is somewhat better than the same rating for SBNY (100) in the Regional Banks industry. This means that LYG’s stock grew somewhat faster than SBNY’s over the last 12 months.
LYG's SMR Rating (4) in the Major Banks industry is in the same range as SBNY (7) in the Regional Banks industry. This means that LYG’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 LYG (42) in the Major Banks industry. This means that SBNY’s stock grew similarly to LYG’s over the last 12 months.
LYG's P/E Growth Rating (21) in the Major Banks industry is somewhat better than the same rating for SBNY (86) in the Regional Banks industry. This means that LYG’s stock grew somewhat faster than SBNY’s over the last 12 months.
| LYG | SBNY | |
|---|---|---|
| RSI ODDS (%) | N/A | 1 day ago 67% |
| Stochastic ODDS (%) | 1 day ago 51% | 1 day ago 81% |
| Momentum ODDS (%) | 1 day ago 69% | 1 day ago 81% |
| MACD ODDS (%) | 1 day ago 67% | 1 day ago 77% |
| TrendWeek ODDS (%) | 1 day ago 65% | 1 day ago 79% |
| TrendMonth ODDS (%) | 1 day ago 64% | 1 day ago 78% |
| Advances ODDS (%) | 4 days ago 65% | 4 days ago 79% |
| Declines ODDS (%) | N/A | 29 days ago 80% |
| BollingerBands ODDS (%) | N/A | 1 day ago 86% |
| Aroon ODDS (%) | 1 day ago 58% | 1 day ago 90% |
LYG and
Correlation & Price change
A.I.dvisor indicates that over the last year, LYG has been closely correlated with NWG. These tickers have moved in lockstep 66% of the time. This A.I.-generated data suggests there is a high statistical probability that if LYG jumps, then NWG could also see price increases.
| Ticker / NAME | Correlation To LYG | 1D Price Change % | ||
|---|---|---|---|---|
| LYG | 100% | +0.66% | ||
| NWG - LYG | 66% Closely correlated | -0.66% | ||
| SBNY - LYG | 53% Loosely correlated | +4.65% | ||
| HBAN - LYG | 47% Loosely correlated | -0.07% | ||
| DB - LYG | 47% Loosely correlated | +0.12% | ||
| TFC - LYG | 47% Loosely correlated | +0.33% | ||
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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% | +4.65% | ||
| WAL - SBNY | 84% Closely correlated | +1.96% | ||
| FITB - SBNY | 74% Closely correlated | +0.28% | ||
| SNV - SBNY | 74% Closely correlated | +0.58% | ||
| OZK - SBNY | 73% Closely correlated | +1.23% | ||
| BKU - SBNY | 73% Closely correlated | -0.14% | ||
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