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AN or GPI or PAG
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).
AN’s FA Score shows that 2 FA rating(s) are green whileGPI’s FA Score has 2 green FA rating(s), and PAG’s FA Score reflects 2 green FA rating(s).
- AN’s FA Score: 2 green, 3 red.
- GPI’s FA Score: 2 green, 3 red.
- PAG’s FA Score: 2 green, 3 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.
AN’s TA Score shows that 5 TA indicator(s) are bullish while GPI’s TA Score has 4 bullish TA indicator(s), and PAG’s TA Score reflects 5 bullish TA indicator(s).
- AN’s TA Score: 5 bullish, 4 bearish.
- GPI’s TA Score: 4 bullish, 4 bearish.
- PAG’s TA Score: 5 bullish, 4 bearish.
Price Growth
AN (@Specialty Stores) experienced а +3.67% price change this week, while GPI (@Specialty Stores) price change was +4.91% , and PAG (@Specialty Stores) price fluctuated +4.81% for the same time period.
The average weekly price growth across all stocks in the @Specialty Stores industry was +0.35%. For the same industry, the average monthly price growth was +2.79%, and the average quarterly price growth was +0.33%.
Reported Earning Dates
AN is expected to report earnings on Jul 17, 2025.
GPI is expected to report earnings on Jul 23, 2025.
PAG is expected to report earnings on Jul 23, 2025.
Industries' Descriptions
@Specialty Stores (+0.35% 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.
| AN | GPI | PAG | |
| Capitalization | 6.9B | 3.96B | 10.9B |
| EBITDA | 1.9B | 1.06B | 1.79B |
| Gain YTD | 15.744 | 5.987 | 15.548 |
| P/E Ratio | 7.25 | 6.77 | 10.37 |
| Revenue | 26.9B | 17.9B | 29.5B |
| Total Cash | 60.8M | 57.2M | 96.4M |
| Total Debt | 8.03B | 3.9B | 7.74B |
AN | GPI | PAG | ||
|---|---|---|---|---|
OUTLOOK RATING 1..100 | 50 | 79 | 50 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 72 Overvalued | 69 Overvalued | 63 Fair valued | |
PROFIT vs RISK RATING 1..100 | 8 | 6 | 4 | |
SMR RATING 1..100 | 34 | 52 | 48 | |
PRICE GROWTH RATING 1..100 | 43 | 44 | 44 | |
P/E GROWTH RATING 1..100 | 15 | 11 | 30 | |
SEASONALITY SCORE 1..100 | 95 | 50 | 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.
PAG's Valuation (63) in the Specialty Stores industry is in the same range as GPI (69) and is in the same range as AN (72). This means that PAG's stock grew similarly to GPI’s and similarly to AN’s over the last 12 months.
PAG's Profit vs Risk Rating (4) in the Specialty Stores industry is in the same range as GPI (6) and is in the same range as AN (8). This means that PAG's stock grew similarly to GPI’s and similarly to AN’s over the last 12 months.
AN's SMR Rating (34) in the Specialty Stores industry is in the same range as PAG (48) and is in the same range as GPI (52). This means that AN's stock grew similarly to PAG’s and similarly to GPI’s over the last 12 months.
AN's Price Growth Rating (43) in the Specialty Stores industry is in the same range as PAG (44) and is in the same range as GPI (44). This means that AN's stock grew similarly to PAG’s and similarly to GPI’s over the last 12 months.
GPI's P/E Growth Rating (11) in the Specialty Stores industry is in the same range as AN (15) and is in the same range as PAG (30). This means that GPI's stock grew similarly to AN’s and similarly to PAG’s over the last 12 months.
| AN | GPI | PAG | |
|---|---|---|---|
| RSI ODDS (%) | 3 days ago 81% | 3 days ago 64% | 3 days ago 68% |
| Stochastic ODDS (%) | 3 days ago 72% | 3 days ago 71% | 3 days ago 63% |
| Momentum ODDS (%) | 3 days ago 77% | 3 days ago 81% | 3 days ago 65% |
| MACD ODDS (%) | 3 days ago 77% | 3 days ago 87% | 3 days ago 71% |
| TrendWeek ODDS (%) | 3 days ago 72% | 3 days ago 74% | 3 days ago 70% |
| TrendMonth ODDS (%) | 3 days ago 72% | 3 days ago 73% | 3 days ago 67% |
| Advances ODDS (%) | 3 days ago 72% | 3 days ago 75% | 3 days ago 72% |
| Declines ODDS (%) | 10 days ago 62% | 10 days ago 63% | 10 days ago 56% |
| BollingerBands ODDS (%) | 3 days ago 67% | 3 days ago 67% | 3 days ago 64% |
| Aroon ODDS (%) | 3 days ago 66% | 3 days ago 77% | 3 days ago 64% |
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GPI and
Correlation & Price change
A.I.dvisor indicates that over the last year, GPI has been closely correlated with ABG. These tickers have moved in lockstep 83% of the time. This A.I.-generated data suggests there is a high statistical probability that if GPI jumps, then ABG could also see price increases.
PAG and
Correlation & Price change
A.I.dvisor indicates that over the last year, PAG has been closely correlated with GPI. These tickers have moved in lockstep 85% of the time. This A.I.-generated data suggests there is a high statistical probability that if PAG jumps, then GPI could also see price increases.