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).
CAL’s FA Score shows that 1 FA rating(s) are green whileKTB’s FA Score has 3 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.
CAL’s TA Score shows that 4 TA indicator(s) are bullish while KTB’s TA Score has 5 bullish TA indicator(s).
CAL (@Apparel/Footwear Retail) experienced а -6.33% price change this week, while KTB (@Apparel/Footwear) price change was -3.03% for the same time period.
The average weekly price growth across all stocks in the @Apparel/Footwear Retail industry was -2.04%. For the same industry, the average monthly price growth was -3.61%, and the average quarterly price growth was -3.89%.
The average weekly price growth across all stocks in the @Apparel/Footwear industry was -0.78%. For the same industry, the average monthly price growth was -2.26%, and the average quarterly price growth was -2.31%.
CAL is expected to report earnings on Mar 18, 2025.
KTB is expected to report earnings on Mar 04, 2025.
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.
@Apparel/Footwear (-0.78% weekly)Apparel/footwear might be slightly more ‘cyclical’ in the largely non-cyclical category of non-durables. While digital giants like Amazon have been rapidly expanding their presence, traditional clothing/footwear retailers have also been bulking up their online presence in recent years, to milk the burgeoning trend of online shopping among consumers across the globe. The apparel and footwear retail market was valued at around $ 360 billion in 2018, and this figure was expected to reach about $386 billion by 2020 (according to a Statista report). NIKE, Inc, V.F. Corporation and Under Armour, Inc. are some of the companies with the largest U.S. stock market caps in this segment.
CAL | KTB | CAL / KTB | |
Capitalization | 1.46B | 3.37B | 43% |
EBITDA | 248M | 350M | 71% |
Gain YTD | -2.591 | 43.399 | -6% |
P/E Ratio | 9.21 | 14.86 | 62% |
Revenue | 2.82B | 2.61B | 108% |
Total Cash | N/A | 215M | - |
Total Debt | 786M | 842M | 93% |
CAL | ||
---|---|---|
OUTLOOK RATING 1..100 | 57 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 31 Undervalued | |
PROFIT vs RISK RATING 1..100 | 58 | |
SMR RATING 1..100 | 38 | |
PRICE GROWTH RATING 1..100 | 64 | |
P/E GROWTH RATING 1..100 | 73 | |
SEASONALITY SCORE 1..100 | 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.
CAL | KTB | |
---|---|---|
RSI ODDS (%) | 2 days ago76% | 2 days ago69% |
Stochastic ODDS (%) | 2 days ago88% | 2 days ago72% |
Momentum ODDS (%) | 2 days ago73% | 2 days ago76% |
MACD ODDS (%) | 2 days ago82% | 2 days ago76% |
TrendWeek ODDS (%) | 2 days ago74% | 2 days ago75% |
TrendMonth ODDS (%) | 2 days ago71% | 2 days ago73% |
Advances ODDS (%) | 10 days ago79% | 3 days ago75% |
Declines ODDS (%) | 2 days ago77% | 23 days ago75% |
BollingerBands ODDS (%) | 2 days ago82% | N/A |
Aroon ODDS (%) | 2 days ago74% | 2 days ago79% |
1 Day | |||
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A.I.dvisor indicates that over the last year, CAL has been closely correlated with DBI. These tickers have moved in lockstep 67% of the time. This A.I.-generated data suggests there is a high statistical probability that if CAL jumps, then DBI could also see price increases.
Ticker / NAME | Correlation To CAL | 1D Price Change % | ||
---|---|---|---|---|
CAL | 100% | -0.03% | ||
DBI - CAL | 67% Closely correlated | -4.31% | ||
SCVL - CAL | 60% Loosely correlated | -0.56% | ||
SHOO - CAL | 58% Loosely correlated | -2.21% | ||
OXM - CAL | 48% Loosely correlated | -1.19% | ||
KTB - CAL | 47% Loosely correlated | -3.68% | ||
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A.I.dvisor indicates that over the last year, KTB has been loosely correlated with SHOO. These tickers have moved in lockstep 53% of the time. This A.I.-generated data suggests there is some statistical probability that if KTB jumps, then SHOO could also see price increases.
Ticker / NAME | Correlation To KTB | 1D Price Change % | ||
---|---|---|---|---|
KTB | 100% | -3.68% | ||
SHOO - KTB | 53% Loosely correlated | -2.21% | ||
COLM - KTB | 52% Loosely correlated | -2.11% | ||
LEVI - KTB | 51% Loosely correlated | -1.19% | ||
PVH - KTB | 48% Loosely correlated | -2.22% | ||
CAL - KTB | 46% Loosely correlated | -0.03% | ||
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