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).
BURL’s FA Score shows that 1 FA rating(s) are green whileGAP’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.
BURL’s TA Score shows that 4 TA indicator(s) are bullish while GAP’s TA Score has 6 bullish TA indicator(s).
BURL (@Apparel/Footwear Retail) experienced а +2.15% price change this week, while GAP (@Apparel/Footwear Retail) price change was -0.69% for the same time period.
The average weekly price growth across all stocks in the @Apparel/Footwear Retail industry was -2.15%. For the same industry, the average monthly price growth was -4.48%, and the average quarterly price growth was -2.98%.
BURL is expected to report earnings on Feb 27, 2025.
GAP is expected to report earnings on Feb 27, 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.
BURL | GAP | BURL / GAP | |
Capitalization | 14.8B | 10.3B | 144% |
EBITDA | 851M | 1.17B | 73% |
Gain YTD | 38.287 | 3.669 | 1,043% |
P/E Ratio | 43.73 | 20.34 | 215% |
Revenue | 9.73B | 14.9B | 65% |
Total Cash | 925M | 1.87B | 49% |
Total Debt | 4.81B | 5.44B | 88% |
BURL | GAP | ||
---|---|---|---|
OUTLOOK RATING 1..100 | 24 | 73 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 82 Overvalued | 18 Undervalued | |
PROFIT vs RISK RATING 1..100 | 68 | 81 | |
SMR RATING 1..100 | 22 | 33 | |
PRICE GROWTH RATING 1..100 | 39 | 51 | |
P/E GROWTH RATING 1..100 | 39 | 99 | |
SEASONALITY SCORE 1..100 | 47 | 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.
GAP's Valuation (18) in the Apparel Or Footwear Retail industry is somewhat better than the same rating for BURL (82). This means that GAP’s stock grew somewhat faster than BURL’s over the last 12 months.
BURL's Profit vs Risk Rating (68) in the Apparel Or Footwear Retail industry is in the same range as GAP (81). This means that BURL’s stock grew similarly to GAP’s over the last 12 months.
BURL's SMR Rating (22) in the Apparel Or Footwear Retail industry is in the same range as GAP (33). This means that BURL’s stock grew similarly to GAP’s over the last 12 months.
BURL's Price Growth Rating (39) in the Apparel Or Footwear Retail industry is in the same range as GAP (51). This means that BURL’s stock grew similarly to GAP’s over the last 12 months.
BURL's P/E Growth Rating (39) in the Apparel Or Footwear Retail industry is somewhat better than the same rating for GAP (99). This means that BURL’s stock grew somewhat faster than GAP’s over the last 12 months.
BURL | GAP | |
---|---|---|
RSI ODDS (%) | N/A | N/A |
Stochastic ODDS (%) | 3 days ago68% | 3 days ago77% |
Momentum ODDS (%) | 3 days ago77% | 3 days ago83% |
MACD ODDS (%) | 3 days ago74% | 3 days ago79% |
TrendWeek ODDS (%) | 3 days ago70% | 3 days ago78% |
TrendMonth ODDS (%) | 3 days ago74% | 3 days ago82% |
Advances ODDS (%) | 4 days ago69% | 13 days ago79% |
Declines ODDS (%) | 17 days ago66% | 3 days ago77% |
BollingerBands ODDS (%) | 3 days ago62% | 3 days ago81% |
Aroon ODDS (%) | 3 days ago77% | 3 days ago77% |
A.I.dvisor indicates that over the last year, BURL has been loosely correlated with ROST. These tickers have moved in lockstep 49% of the time. This A.I.-generated data suggests there is some statistical probability that if BURL jumps, then ROST could also see price increases.
Ticker / NAME | Correlation To BURL | 1D Price Change % | ||
---|---|---|---|---|
BURL | 100% | -0.24% | ||
ROST - BURL | 49% Loosely correlated | -1.15% | ||
DBI - BURL | 41% Loosely correlated | -2.33% | ||
SCVL - BURL | 41% Loosely correlated | -4.20% | ||
BKE - BURL | 41% Loosely correlated | -1.68% | ||
GAP - BURL | 40% Loosely correlated | -2.62% | ||
More |
A.I.dvisor indicates that over the last year, GAP has been loosely correlated with DBI. These tickers have moved in lockstep 56% of the time. This A.I.-generated data suggests there is some statistical probability that if GAP jumps, then DBI could also see price increases.