TGT or TJX or TYL
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 undervalued. We use an FA Score to show how many ratings show the ticker to be undervalued (green) or overvalued (red).
TGT’s FA Score shows that 2 FA rating(s) are green whileTJX’s FA Score has 3 green FA rating(s), and TYL’s FA Score reflects 1 green FA rating(s).
- TGT’s FA Score: 2 green, 3 red.
- TJX’s FA Score: 3 green, 2 red.
- TYL’s FA Score: 1 green, 4 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.
TGT’s TA Score shows that 3 TA indicator(s) are bullish while TJX’s TA Score has 3 bullish TA indicator(s), and TYL’s TA Score reflects 1 bullish TA indicator(s).
- TGT’s TA Score: 3 bullish, 4 bearish.
- TJX’s TA Score: 3 bullish, 2 bearish.
- TYL’s TA Score: 1 bullish, 2 bearish.
Price Growth
TGT (@Discount Stores) experienced а +0.92% price change this week, while TJX (@Apparel/Footwear Retail) price change was +2.90% , and TYL (@Packaged Software) price fluctuated +2.47% for the same time period.
The average weekly price growth across all stocks in the @Discount Stores industry was +1.68%. For the same industry, the average monthly price growth was +6.19%, and the average quarterly price growth was -9.50%.
The average weekly price growth across all stocks in the @Apparel/Footwear Retail industry was +1.21%. For the same industry, the average monthly price growth was -0.83%, and the average quarterly price growth was -2.49%.
The average weekly price growth across all stocks in the @Packaged Software industry was +2.08%. For the same industry, the average monthly price growth was +5.76%, and the average quarterly price growth was +17.47%.
Reported Earning Dates
TGT is expected to report earnings on Mar 11, 2025.
TJX is expected to report earnings on Feb 26, 2025.
TYL is expected to report earnings on Apr 23, 2025.
Industries' Descriptions
@Discount Stores (+1.68% weekly)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.
@Apparel/Footwear Retail (+1.21% 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.
@Packaged Software (+2.08% weekly)Packaged software comprises multiple software programs bundled together and sold as a group. For example, Microsoft Office includes multiple applications such as Excel, Word, and PowerPoint. In some cases, buying a bundled product is cheaper than purchasing each item individually[s20] . Microsoft Corporation, Oracle Corp. and Adobe are some major American packaged software makers.
| TGT | TJX | TYL | |
| Capitalization | 62.9B | 114B | 17.6B |
| EBITDA | 9.01B | 6.49B | 393M |
| Gain YTD | 0.436 | 1.457 | 1.628 |
| P/E Ratio | 14.55 | 25.83 | 107.39 |
| Revenue | 108B | 52.3B | 1.95B |
| Total Cash | 3.43B | N/A | 176M |
| Total Debt | 19.4B | 12.5B | 697M |
TGT | TJX | TYL | ||
|---|---|---|---|---|
OUTLOOK RATING 1..100 | 61 | 67 | 13 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 21 Undervalued | 77 Overvalued | 83 Overvalued | |
PROFIT vs RISK RATING 1..100 | 80 | 9 | 30 | |
SMR RATING 1..100 | 29 | 16 | 77 | |
PRICE GROWTH RATING 1..100 | 55 | 30 | 50 | |
P/E GROWTH RATING 1..100 | 81 | 49 | 69 | |
SEASONALITY SCORE 1..100 | n/a | n/a | 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.
TGT's Valuation (21) in the Specialty Stores industry is somewhat better than the same rating for TJX (77) in the Apparel Or Footwear Retail industry, and is somewhat better than the same rating for TYL (83) in the Data Processing Services industry. This means that TGT's stock grew somewhat faster than TJX’s and somewhat faster than TYL’s over the last 12 months.
TJX's Profit vs Risk Rating (9) in the Apparel Or Footwear Retail industry is in the same range as TYL (30) in the Data Processing Services industry, and is significantly better than the same rating for TGT (80) in the Specialty Stores industry. This means that TJX's stock grew similarly to TYL’s and significantly faster than TGT’s over the last 12 months.
TJX's SMR Rating (16) in the Apparel Or Footwear Retail industry is in the same range as TGT (29) in the Specialty Stores industry, and is somewhat better than the same rating for TYL (77) in the Data Processing Services industry. This means that TJX's stock grew similarly to TGT’s and somewhat faster than TYL’s over the last 12 months.
TJX's Price Growth Rating (30) in the Apparel Or Footwear Retail industry is in the same range as TYL (50) in the Data Processing Services industry, and is in the same range as TGT (55) in the Specialty Stores industry. This means that TJX's stock grew similarly to TYL’s and similarly to TGT’s over the last 12 months.
TJX's P/E Growth Rating (49) in the Apparel Or Footwear Retail industry is in the same range as TYL (69) in the Data Processing Services industry, and is in the same range as TGT (81) in the Specialty Stores industry. This means that TJX's stock grew similarly to TYL’s and similarly to TGT’s over the last 12 months.
| TGT | TJX | TYL | |
|---|---|---|---|
| RSI ODDS (%) | N/A | N/A | 16 days ago 90% |
| Stochastic ODDS (%) | 16 days ago 54% | 16 days ago 81% | N/A |
| Momentum ODDS (%) | 16 days ago 67% | N/A | N/A |
| MACD ODDS (%) | N/A | N/A | N/A |
| TrendWeek ODDS (%) | 16 days ago 65% | 16 days ago 65% | 16 days ago 51% |
| TrendMonth ODDS (%) | 16 days ago 68% | 16 days ago 46% | 16 days ago 55% |
| Advances ODDS (%) | 22 days ago 67% | 29 days ago 62% | N/A |
| Declines ODDS (%) | 16 days ago 60% | 24 days ago 43% | 17 days ago 53% |
| BollingerBands ODDS (%) | 16 days ago 59% | N/A | N/A |
| Aroon ODDS (%) | 16 days ago 67% | 16 days ago 37% | 16 days ago 56% |
TGT and
Correlation & Price change
A.I.dvisor indicates that over the last year, TGT has been loosely correlated with DLTR. These tickers have moved in lockstep 33% of the time. This A.I.-generated data suggests there is some statistical probability that if TGT jumps, then DLTR could also see price increases.
| Ticker / NAME | Correlation To TGT | 1D Price Change % | ||
|---|---|---|---|---|
| TGT | 100% | -1.14% | ||
| DLTR - TGT | 33% Loosely correlated | -2.43% | ||
| DG - TGT | 30% Poorly correlated | -1.70% | ||
| BIGGQ - TGT | 28% Poorly correlated | +13.83% | ||
| PSMT - TGT | 27% Poorly correlated | +0.21% | ||
| BJ - TGT | 23% Poorly correlated | -2.36% | ||
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TJX and
Correlation & Price change
A.I.dvisor indicates that over the last year, TJX has been closely correlated with ROST. These tickers have moved in lockstep 66% of the time. This A.I.-generated data suggests there is a high statistical probability that if TJX jumps, then ROST could also see price increases.
| Ticker / NAME | Correlation To TJX | 1D Price Change % | ||
|---|---|---|---|---|
| TJX | 100% | -0.59% | ||
| ROST - TJX | 66% Closely correlated | +0.57% | ||
| BURL - TJX | 47% Loosely correlated | -0.23% | ||
| GAP - TJX | 42% Loosely correlated | -1.04% | ||
| CRI - TJX | 40% Loosely correlated | +0.09% | ||
| DBI - TJX | 37% Loosely correlated | -1.91% | ||
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TYL and
Correlation & Price change
A.I.dvisor indicates that over the last year, TYL has been loosely correlated with COIN. These tickers have moved in lockstep 59% of the time. This A.I.-generated data suggests there is some statistical probability that if TYL jumps, then COIN could also see price increases.
| Ticker / NAME | Correlation To TYL | 1D Price Change % | ||
|---|---|---|---|---|
| TYL | 100% | +0.25% | ||
| COIN - TYL | 59% Loosely correlated | +0.56% | ||
| CLSK - TYL | 58% Loosely correlated | +1.64% | ||
| RIOT - TYL | 55% Loosely correlated | +3.14% | ||
| COMP - TYL | 50% Loosely correlated | +2.07% | ||
| NOW - TYL | 43% Loosely correlated | +2.58% | ||
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