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).
GCO’s FA Score shows that 1 FA rating(s) are green whileJILL’s FA Score has 2 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.
GCO’s TA Score shows that 3 TA indicator(s) are bullish while JILL’s TA Score has 2 bullish TA indicator(s).
GCO (@Apparel/Footwear Retail) experienced а -4.77% price change this week, while JILL (@Apparel/Footwear Retail) price change was -3.97% for the same time period.
The average weekly price growth across all stocks in the @Apparel/Footwear Retail industry was -2.45%. For the same industry, the average monthly price growth was -3.01%, and the average quarterly price growth was -0.89%.
GCO is expected to report earnings on Dec 06, 2024.
JILL is expected to report earnings on Mar 05, 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.
GCO | JILL | GCO / JILL | |
Capitalization | 323M | 346M | 93% |
EBITDA | 35.4M | 91.2M | 39% |
Gain YTD | -25.760 | -6.604 | 390% |
P/E Ratio | 84.75 | 14.47 | 586% |
Revenue | 2.33B | 603M | 386% |
Total Cash | 35.2M | 48.9M | 72% |
Total Debt | 523M | 311M | 168% |
GCO | JILL | ||
---|---|---|---|
OUTLOOK RATING 1..100 | 63 | 75 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 71 Overvalued | 35 Fair valued | |
PROFIT vs RISK RATING 1..100 | 100 | 33 | |
SMR RATING 1..100 | 90 | 16 | |
PRICE GROWTH RATING 1..100 | 61 | 79 | |
P/E GROWTH RATING 1..100 | 1 | 92 | |
SEASONALITY SCORE 1..100 | n/a | 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.
JILL's Valuation (35) in the Apparel Or Footwear Retail industry is somewhat better than the same rating for GCO (71). This means that JILL’s stock grew somewhat faster than GCO’s over the last 12 months.
JILL's Profit vs Risk Rating (33) in the Apparel Or Footwear Retail industry is significantly better than the same rating for GCO (100). This means that JILL’s stock grew significantly faster than GCO’s over the last 12 months.
JILL's SMR Rating (16) in the Apparel Or Footwear Retail industry is significantly better than the same rating for GCO (90). This means that JILL’s stock grew significantly faster than GCO’s over the last 12 months.
GCO's Price Growth Rating (61) in the Apparel Or Footwear Retail industry is in the same range as JILL (79). This means that GCO’s stock grew similarly to JILL’s over the last 12 months.
GCO's P/E Growth Rating (1) in the Apparel Or Footwear Retail industry is significantly better than the same rating for JILL (92). This means that GCO’s stock grew significantly faster than JILL’s over the last 12 months.
GCO | JILL | |
---|---|---|
RSI ODDS (%) | N/A | N/A |
Stochastic ODDS (%) | 1 day ago84% | 1 day ago82% |
Momentum ODDS (%) | 1 day ago77% | 1 day ago78% |
MACD ODDS (%) | 1 day ago76% | N/A |
TrendWeek ODDS (%) | 1 day ago77% | 1 day ago76% |
TrendMonth ODDS (%) | 1 day ago76% | 1 day ago77% |
Advances ODDS (%) | 19 days ago76% | 21 days ago83% |
Declines ODDS (%) | 5 days ago77% | 6 days ago81% |
BollingerBands ODDS (%) | 1 day ago84% | 1 day ago78% |
Aroon ODDS (%) | 1 day ago77% | 1 day ago89% |
A.I.dvisor indicates that over the last year, GCO has been loosely correlated with DBI. These tickers have moved in lockstep 64% of the time. This A.I.-generated data suggests there is some statistical probability that if GCO jumps, then DBI could also see price increases.
Ticker / NAME | Correlation To GCO | 1D Price Change % | ||
---|---|---|---|---|
GCO | 100% | +4.90% | ||
DBI - GCO | 64% Loosely correlated | +0.79% | ||
BKE - GCO | 54% Loosely correlated | +1.80% | ||
SCVL - GCO | 54% Loosely correlated | +1.33% | ||
CAL - GCO | 49% Loosely correlated | -1.02% | ||
ZUMZ - GCO | 44% Loosely correlated | +0.77% | ||
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A.I.dvisor indicates that over the last year, JILL has been loosely correlated with SCVL. These tickers have moved in lockstep 36% of the time. This A.I.-generated data suggests there is some statistical probability that if JILL jumps, then SCVL could also see price increases.
Ticker / NAME | Correlation To JILL | 1D Price Change % | ||
---|---|---|---|---|
JILL | 100% | -0.17% | ||
SCVL - JILL | 36% Loosely correlated | +1.33% | ||
CAL - JILL | 35% Loosely correlated | -1.02% | ||
GES - JILL | 33% Poorly correlated | +1.06% | ||
BKE - JILL | 31% Poorly correlated | +1.80% | ||
GCO - JILL | 30% Poorly correlated | +4.90% | ||
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