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).
COST’s FA Score shows that 3 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.
COST’s TA Score shows that 4 TA indicator(s) are bullish while SBH’s TA Score has 4 bullish TA indicator(s).
COST (@Discount Stores) experienced а +0.12% price change this week, while SBH (@Specialty Stores) price change was +24.44% for the same time period.
The average weekly price growth across all stocks in the @Discount Stores industry was +1.93%. For the same industry, the average monthly price growth was +10.01%, and the average quarterly price growth was +6.31%.
The average weekly price growth across all stocks in the @Specialty Stores industry was +6.76%. For the same industry, the average monthly price growth was +11.45%, and the average quarterly price growth was -3.71%.
COST is expected to report earnings on May 30, 2025.
SBH is expected to report earnings on Jul 31, 2025.
Companies in the discount stores industry specialize in offering substantial discounts on a vast array of retail products. Some companies in this industry also operate general merchandise warehouse clubs. Products sold at discount stores are typically similar to those of any department store, but the pricing of the goods is generally much lower (and hence the name “discount”). Think Dollar General Corporation, Dollar Tree, Inc. and Five Below, Inc. Many discount stores target low-income households and/or price-sensitive consumers as their potential market. Discount stores’ profitability could hinge on factors like competitive pricing, sufficient locations, healthy revenue per square foot, and effective advertisement. These store operators could have an edge over other retailers during financial crises or recessions, when many consumers could be looking for less expensive alternatives.
@Specialty Stores (+6.76% weekly)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.
COST | SBH | COST / SBH | |
Capitalization | 451B | 1.3B | 34,612% |
EBITDA | 12.6B | 413M | 3,051% |
Gain YTD | 11.168 | -4.498 | -248% |
P/E Ratio | 58.85 | 7.96 | 740% |
Revenue | 264B | 3.7B | 7,131% |
Total Cash | 13.2B | 121M | 10,909% |
Total Debt | 8.04B | 1.66B | 486% |
COST | SBH | ||
---|---|---|---|
OUTLOOK RATING 1..100 | 11 | 8 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 97 Overvalued | 50 Fair valued | |
PROFIT vs RISK RATING 1..100 | 4 | 83 | |
SMR RATING 1..100 | 29 | 32 | |
PRICE GROWTH RATING 1..100 | 47 | 82 | |
P/E GROWTH RATING 1..100 | 32 | 75 | |
SEASONALITY SCORE 1..100 | 50 | 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 (50) in the Specialty Stores industry is somewhat better than the same rating for COST (97). This means that SBH’s stock grew somewhat faster than COST’s over the last 12 months.
COST's Profit vs Risk Rating (4) in the Specialty Stores industry is significantly better than the same rating for SBH (83). This means that COST’s stock grew significantly faster than SBH’s over the last 12 months.
COST's SMR Rating (29) in the Specialty Stores industry is in the same range as SBH (32). This means that COST’s stock grew similarly to SBH’s over the last 12 months.
COST's Price Growth Rating (47) in the Specialty Stores industry is somewhat better than the same rating for SBH (82). This means that COST’s stock grew somewhat faster than SBH’s over the last 12 months.
COST's P/E Growth Rating (32) in the Specialty Stores industry is somewhat better than the same rating for SBH (75). This means that COST’s stock grew somewhat faster than SBH’s over the last 12 months.
COST | SBH | |
---|---|---|
RSI ODDS (%) | N/A | 1 day ago65% |
Stochastic ODDS (%) | 1 day ago32% | 1 day ago74% |
Momentum ODDS (%) | N/A | 1 day ago63% |
MACD ODDS (%) | N/A | 1 day ago70% |
TrendWeek ODDS (%) | 1 day ago69% | 1 day ago69% |
TrendMonth ODDS (%) | 1 day ago65% | 1 day ago69% |
Advances ODDS (%) | 1 day ago67% | 5 days ago68% |
Declines ODDS (%) | 6 days ago39% | 7 days ago81% |
BollingerBands ODDS (%) | 1 day ago33% | 1 day ago82% |
Aroon ODDS (%) | 1 day ago57% | 1 day ago82% |
A.I.dvisor indicates that over the last year, SBH has been loosely correlated with PAG. These tickers have moved in lockstep 51% 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% | +22.15% | ||
PAG - SBH | 51% Loosely correlated | +3.92% | ||
AN - SBH | 49% Loosely correlated | +4.99% | ||
WINA - SBH | 47% Loosely correlated | +5.14% | ||
ULTA - SBH | 46% Loosely correlated | +5.15% | ||
ABG - SBH | 46% Loosely correlated | +4.86% | ||
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