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).
AN’s FA Score shows that 2 FA rating(s) are green whileSBH’s FA Score has 1 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.
AN’s TA Score shows that 6 TA indicator(s) are bullish while SBH’s TA Score has 4 bullish TA indicator(s).
AN (@Specialty Stores) experienced а +8.10% price change this week, while SBH (@Specialty Stores) price change was +17.88% for the same time period.
The average weekly price growth across all stocks in the @Specialty Stores industry was +7.12%. For the same industry, the average monthly price growth was +11.69%, and the average quarterly price growth was -0.96%.
AN is expected to report earnings on Jul 17, 2025.
SBH is expected to report earnings on Jul 31, 2025.
The specialty stores sector includes companies dedicated to the sale of retail products focused on a single product category, such as clothing, carpet, books, or office supplies. A specialty store could face intense competition from big-box departmental chains, and therefore offering an adequate collection of the product type it specializes in is key in maintaining/growing its market.
AN | SBH | AN / SBH | |
Capitalization | 6.9B | 1.3B | 530% |
EBITDA | 1.9B | 413M | 459% |
Gain YTD | 12.323 | -10.431 | -118% |
P/E Ratio | 7.25 | 7.96 | 91% |
Revenue | 26.9B | 3.7B | 727% |
Total Cash | 60.8M | 121M | 50% |
Total Debt | 8.03B | 1.66B | 485% |
AN | SBH | ||
---|---|---|---|
OUTLOOK RATING 1..100 | 15 | 6 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 74 Overvalued | 48 Fair valued | |
PROFIT vs RISK RATING 1..100 | 7 | 86 | |
SMR RATING 1..100 | 34 | 33 | |
PRICE GROWTH RATING 1..100 | 46 | 51 | |
P/E GROWTH RATING 1..100 | 17 | 85 | |
SEASONALITY SCORE 1..100 | n/a | 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.
SBH's Valuation (48) in the Specialty Stores industry is in the same range as AN (74). This means that SBH’s stock grew similarly to AN’s over the last 12 months.
AN's Profit vs Risk Rating (7) in the Specialty Stores industry is significantly better than the same rating for SBH (86). This means that AN’s stock grew significantly faster than SBH’s over the last 12 months.
SBH's SMR Rating (33) in the Specialty Stores industry is in the same range as AN (34). This means that SBH’s stock grew similarly to AN’s over the last 12 months.
AN's Price Growth Rating (46) in the Specialty Stores industry is in the same range as SBH (51). This means that AN’s stock grew similarly to SBH’s over the last 12 months.
AN's P/E Growth Rating (17) in the Specialty Stores industry is significantly better than the same rating for SBH (85). This means that AN’s stock grew significantly faster than SBH’s over the last 12 months.
AN | SBH | |
---|---|---|
RSI ODDS (%) | 1 day ago84% | 1 day ago58% |
Stochastic ODDS (%) | 1 day ago68% | 1 day ago74% |
Momentum ODDS (%) | 1 day ago74% | 1 day ago63% |
MACD ODDS (%) | 3 days ago71% | 1 day ago70% |
TrendWeek ODDS (%) | 1 day ago72% | 1 day ago69% |
TrendMonth ODDS (%) | 1 day ago72% | 1 day ago68% |
Advances ODDS (%) | 1 day ago73% | 7 days ago69% |
Declines ODDS (%) | 29 days ago61% | 9 days ago81% |
BollingerBands ODDS (%) | 1 day ago71% | 1 day ago73% |
Aroon ODDS (%) | 1 day ago69% | 1 day ago80% |
A.I.dvisor indicates that over the last year, AN has been closely correlated with ABG. These tickers have moved in lockstep 82% of the time. This A.I.-generated data suggests there is a high statistical probability that if AN jumps, then ABG could also see price increases.
A.I.dvisor indicates that over the last year, SBH has been loosely correlated with PAG. These tickers have moved in lockstep 49% of the time. This A.I.-generated data suggests there is some statistical probability that if SBH jumps, then PAG could also see price increases.
Ticker / NAME | Correlation To SBH | 1D Price Change % | ||
---|---|---|---|---|
SBH | 100% | -6.21% | ||
PAG - SBH | 49% Loosely correlated | +0.20% | ||
AN - SBH | 47% Loosely correlated | +1.12% | ||
WINA - SBH | 47% Loosely correlated | +0.88% | ||
ULTA - SBH | 46% Loosely correlated | -0.04% | ||
ABG - SBH | 46% Loosely correlated | +1.64% | ||
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