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GPI vs WINA
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 GPI is a Hold and WINA is a StrongBuy.
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).
GPI’s FA Score shows that 2 FA rating(s) are green whileWINA’s FA Score has 3 green FA rating(s).
- GPI’s FA Score: 2 green, 3 red.
- WINA’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.
GPI’s TA Score shows that 4 TA indicator(s) are bullish while WINA’s TA Score has 4 bullish TA indicator(s).
- GPI’s TA Score: 4 bullish, 6 bearish.
- WINA’s TA Score: 4 bullish, 4 bearish.
Price Growth
GPI (@Automotive Aftermarket) experienced а -3.91% price change this week, while WINA (@Specialty Stores) price change was +5.26% for the same time period.
The average weekly price growth across all stocks in the @Automotive Aftermarket industry was -0.29%. For the same industry, the average monthly price growth was +0.96%, and the average quarterly price growth was +4.81%.
The average weekly price growth across all stocks in the @Specialty Stores industry was +1.95%. For the same industry, the average monthly price growth was +2.66%, and the average quarterly price growth was +16.28%.
Reported Earning Dates
GPI is expected to report earnings on Oct 22, 2025.
WINA is expected to report earnings on Oct 15, 2025.
Industries' Descriptions
@Automotive Aftermarket (-0.29% weekly)The Automotive Aftermarket consists of the manufacturing, remanufacturing, distribution, retailing, and installation of vehicle parts and accessories, after the sale of the automobile by the original equipment manufacturer (OEM) to the consumer. The aftermarket parts many not be manufactured by the OEM. According to a Technavio study, the US automotive parts aftermarket size is estimated to grow by USD 24.33 billion during 2018-2022 (CAGR 3%). Like many other industries, the automotive aftermarket is also being intensely penetrated by the digital boom. The online auto parts sales market is predicted to exceed $13B by 2020 (according to a study by Mirakl).
@Specialty Stores (+1.95% 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.
| GPI | WINA | GPI / WINA | |
| Capitalization | 5.93B | 1.77B | 336% |
| EBITDA | 1.03B | 56.5M | 1,823% |
| Gain YTD | 9.136 | 27.653 | 33% |
| P/E Ratio | 12.66 | 44.37 | 29% |
| Revenue | 22B | 83.4M | 26,379% |
| Total Cash | 52.7M | 28.8M | 183% |
| Total Debt | 5.47B | 62.7M | 8,721% |
GPI | WINA | ||
|---|---|---|---|
OUTLOOK RATING 1..100 | 21 | 40 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 72 Overvalued | 49 Fair valued | |
PROFIT vs RISK RATING 1..100 | 8 | 13 | |
SMR RATING 1..100 | 53 | 2 | |
PRICE GROWTH RATING 1..100 | 47 | 40 | |
P/E GROWTH RATING 1..100 | 15 | 21 | |
SEASONALITY SCORE 1..100 | 50 | 21 |
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.
WINA's Valuation (49) in the Specialty Stores industry is in the same range as GPI (72). This means that WINA’s stock grew similarly to GPI’s over the last 12 months.
GPI's Profit vs Risk Rating (8) in the Specialty Stores industry is in the same range as WINA (13). This means that GPI’s stock grew similarly to WINA’s over the last 12 months.
WINA's SMR Rating (2) in the Specialty Stores industry is somewhat better than the same rating for GPI (53). This means that WINA’s stock grew somewhat faster than GPI’s over the last 12 months.
WINA's Price Growth Rating (40) in the Specialty Stores industry is in the same range as GPI (47). This means that WINA’s stock grew similarly to GPI’s over the last 12 months.
GPI's P/E Growth Rating (15) in the Specialty Stores industry is in the same range as WINA (21). This means that GPI’s stock grew similarly to WINA’s over the last 12 months.
| GPI | WINA | |
|---|---|---|
| RSI ODDS (%) | 4 days ago 72% | 4 days ago 61% |
| Stochastic ODDS (%) | 4 days ago 67% | 4 days ago 52% |
| Momentum ODDS (%) | 4 days ago 63% | N/A |
| MACD ODDS (%) | 4 days ago 74% | N/A |
| TrendWeek ODDS (%) | 4 days ago 58% | 4 days ago 68% |
| TrendMonth ODDS (%) | 4 days ago 73% | 4 days ago 70% |
| Advances ODDS (%) | 11 days ago 74% | 5 days ago 70% |
| Declines ODDS (%) | 6 days ago 61% | 8 days ago 56% |
| BollingerBands ODDS (%) | 4 days ago 71% | 4 days ago 49% |
| Aroon ODDS (%) | 4 days ago 69% | 4 days ago 63% |
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WINA and
Correlation & Price change
A.I.dvisor indicates that over the last year, WINA has been loosely correlated with CPRT. These tickers have moved in lockstep 47% of the time. This A.I.-generated data suggests there is some statistical probability that if WINA jumps, then CPRT could also see price increases.
| Ticker / NAME | Correlation To WINA | 1D Price Change % | ||
|---|---|---|---|---|
| WINA | 100% | +1.90% | ||
| CPRT - WINA | 47% Loosely correlated | -1.65% | ||
| AN - WINA | 47% Loosely correlated | -0.84% | ||
| HVT - WINA | 42% Loosely correlated | +1.62% | ||
| CARS - WINA | 42% Loosely correlated | -0.15% | ||
| ACVA - WINA | 40% Loosely correlated | +0.70% | ||
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