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LE vs SBH
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 LE is a StrongBuy and SBH is a StrongBuy.
LE | SBH | ||
|---|---|---|---|
OUTLOOK RATING 1..100 | 9 | 62 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 36 Fair valued | 66 Overvalued | |
PROFIT vs RISK RATING 1..100 | 100 | 100 | |
SMR RATING 1..100 | 14 | 41 | |
PRICE GROWTH RATING 1..100 | 74 | 43 | |
P/E GROWTH RATING 1..100 | 100 | 38 | |
SEASONALITY SCORE 1..100 | 50 | 39 |
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.
LE's Valuation (36) in the Internet Retail industry is in the same range as SBH (66) in the Specialty Stores industry. This means that LE’s stock grew similarly to SBH’s over the last 12 months.
LE's Profit vs Risk Rating (100) in the Internet Retail industry is in the same range as SBH (100) in the Specialty Stores industry. This means that LE’s stock grew similarly to SBH’s over the last 12 months.
LE's SMR Rating (14) in the Internet Retail industry is in the same range as SBH (41) in the Specialty Stores industry. This means that LE’s stock grew similarly to SBH’s over the last 12 months.
SBH's Price Growth Rating (43) in the Specialty Stores industry is in the same range as LE (74) in the Internet Retail industry. This means that SBH’s stock grew similarly to LE’s over the last 12 months.
SBH's P/E Growth Rating (38) in the Specialty Stores industry is somewhat better than the same rating for LE (100) in the Internet Retail industry. This means that SBH’s stock grew somewhat faster than LE’s over the last 12 months.
| LE | SBH | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 90% | N/A |
| Stochastic ODDS (%) | 2 days ago 82% | 2 days ago 72% |
| Momentum ODDS (%) | 2 days ago 86% | 2 days ago 72% |
| MACD ODDS (%) | 2 days ago 79% | 2 days ago 76% |
| TrendWeek ODDS (%) | 2 days ago 83% | 2 days ago 76% |
| TrendMonth ODDS (%) | 2 days ago 87% | 2 days ago 81% |
| Advances ODDS (%) | 2 days ago 82% | 8 days ago 71% |
| Declines ODDS (%) | 15 days ago 84% | 2 days ago 77% |
| BollingerBands ODDS (%) | 2 days ago 80% | 2 days ago 79% |
| Aroon ODDS (%) | 2 days ago 89% | 2 days ago 79% |
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 overvalued. We use an FA Score to show how many ratings show the ticker to be undervalued (green) or overvalued (red).
LE’s FA Score shows that 1 FA rating(s) are green while SBH’s FA Score has 0 green FA rating(s).
- LE’s FA Score: 1 green, 4 red.
- SBH’s FA Score: 0 green, 5 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.
LE’s TA Score shows that 6 TA indicator(s) are bullish while SBH’s TA Score has 2 bullish TA indicator(s).
- LE’s TA Score: 6 bullish, 4 bearish.
- SBH’s TA Score: 2 bullish, 6 bearish.
Price Growth
LE (@Apparel/Footwear Retail) experienced а +1.45% price change this week, while SBH (@Specialty Stores) price change was -5.47% for the same time period.
The average weekly price growth across all stocks in the @Apparel/Footwear Retail industry was +1.36%. For the same industry, the average monthly price growth was -4.64%, and the average quarterly price growth was -3.98%.
The average weekly price growth across all stocks in the @Specialty Stores industry was -0.08%. For the same industry, the average monthly price growth was -1.85%, and the average quarterly price growth was +6.19%.
Reported Earning Dates
LE is expected to report earnings on Nov 26, 2026.
SBH is expected to report earnings on Nov 12, 2026.
Industries' Descriptions
@Apparel/Footwear Retail (+1.36% weekly)Companies in the apparel and/or footwear retail industry sell clothing, accessories and footwear, for different age groups and genders. The industry’s product categories could range from basics, such as underwear, to luxury items. Some retailers source items from wholesalers or an apparel brand to sell in their stores; some others are licensed to make and market their own retail goods under particular brands. Several companies outsource production of clothing to developing/emerging economies where labor costs are relatively inexpensive. Apparel retail is often influenced by fashion trends, and many companies feel the need to adapt to what’s “in vogue” to retain customers and attract new ones. A major disruption in this industry has been the burgeoning trend in digital shopping – to compete with rapidly growing e-commerce, even traditional retail players are upping the ante on their online platforms. Much of the products’ performance in apparel/footwear retail is cyclical, i.e., economic boom times encourage consumer spending, while recessions induce thriftiness among people. Some large-cap U.S. apparel/footwear retail companies include TJX Companies Inc., Ross Stores, Inc., Lululemon Athletica Inc. and Burlington Stores, Inc.
@Specialty Stores (-0.08% 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.
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SBH and
Correlation & Price change
A.I.dvisor indicates that over the last year, SBH has been loosely correlated with PAG. These tickers have moved in lockstep 52% 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.