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PTLE vs WSM
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 PTLE is a Hold and WSM is a Hold.
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).
PTLE’s FA Score shows that 0 FA rating(s) are green whileWSM’s FA Score has 3 green FA rating(s).
- PTLE’s FA Score: 0 green, 5 red.
- WSM’s FA Score: 3 green, 2 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.
PTLE’s TA Score shows that 4 TA indicator(s) are bullish while WSM’s TA Score has 7 bullish TA indicator(s).
- PTLE’s TA Score: 4 bullish, 5 bearish.
- WSM’s TA Score: 7 bullish, 4 bearish.
Price Growth
PTLE (@Specialty Stores) experienced а +14.47% price change this week, while WSM (@Specialty Stores) price change was +3.74% for the same time period.
The average weekly price growth across all stocks in the @Specialty Stores industry was -0.51%. For the same industry, the average monthly price growth was +14.49%, and the average quarterly price growth was +4.13%.
Reported Earning Dates
WSM is expected to report earnings on Aug 26, 2026.
Industries' Descriptions
@Specialty Stores (-0.51% 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.
| PTLE | WSM | PTLE / WSM | |
| Capitalization | 36M | 26.7B | 0% |
| EBITDA | -3.4M | 1.65B | -0% |
| Gain YTD | -28.384 | 27.971 | -101% |
| P/E Ratio | 57.76 | 25.44 | 227% |
| Revenue | 91.4M | 7.88B | 1% |
| Total Cash | 2.69M | 652M | 0% |
| Total Debt | 18.5K | 1.49B | 0% |
WSM | ||
|---|---|---|
OUTLOOK RATING 1..100 | 39 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 94 Overvalued | |
PROFIT vs RISK RATING 1..100 | 23 | |
SMR RATING 1..100 | 19 | |
PRICE GROWTH RATING 1..100 | 39 | |
P/E GROWTH RATING 1..100 | 25 | |
SEASONALITY SCORE 1..100 | 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.
| PTLE | WSM | |
|---|---|---|
| RSI ODDS (%) | 3 days ago 90% | 3 days ago 71% |
| Stochastic ODDS (%) | 3 days ago 90% | 3 days ago 76% |
| Momentum ODDS (%) | 3 days ago 90% | 3 days ago 78% |
| MACD ODDS (%) | 3 days ago 71% | 3 days ago 81% |
| TrendWeek ODDS (%) | 3 days ago 88% | 3 days ago 73% |
| TrendMonth ODDS (%) | 3 days ago 87% | 3 days ago 72% |
| Advances ODDS (%) | 4 days ago 90% | 9 days ago 74% |
| Declines ODDS (%) | 10 days ago 90% | 13 days ago 66% |
| BollingerBands ODDS (%) | 3 days ago 90% | 3 days ago 80% |
| Aroon ODDS (%) | 3 days ago 90% | 3 days ago 66% |
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PTLE and
Correlation & Price change
A.I.dvisor tells us that PTLE and BWMX have been poorly correlated (+24% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that PTLE and BWMX's prices will move in lockstep.
| Ticker / NAME | Correlation To PTLE | 1D Price Change % | ||
|---|---|---|---|---|
| PTLE | 100% | -4.10% | ||
| BWMX - PTLE | 24% Poorly correlated | +2.53% | ||
| JBDI - PTLE | 9% Poorly correlated | +9.83% | ||
| CGTL - PTLE | 8% Poorly correlated | +0.02% | ||
| ULTA - PTLE | 5% Poorly correlated | +1.19% | ||
| WSM - PTLE | 5% Poorly correlated | +2.61% | ||
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WSM and
Correlation & Price change
A.I.dvisor indicates that over the last year, WSM has been loosely correlated with FND. These tickers have moved in lockstep 65% of the time. This A.I.-generated data suggests there is some statistical probability that if WSM jumps, then FND could also see price increases.
| Ticker / NAME | Correlation To WSM | 1D Price Change % | ||
|---|---|---|---|---|
| WSM | 100% | +2.61% | ||
| FND - WSM | 65% Loosely correlated | +5.89% | ||
| RH - WSM | 64% Loosely correlated | +9.15% | ||
| CPRT - WSM | 62% Loosely correlated | +2.41% | ||
| ARHS - WSM | 59% Loosely correlated | +5.52% | ||
| LOW - WSM | 58% Loosely correlated | +2.27% | ||
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