PAG vs SVV
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 PAG is a StrongBuy and SVV is a Buy.
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).
PAG’s FA Score shows that 2 FA rating(s) are green whileSVV’s FA Score has 0 green FA rating(s).
- PAG’s FA Score: 2 green, 3 red.
- SVV’s FA Score: 0 green, 5 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.
PAG’s TA Score shows that 3 TA indicator(s) are bullish while SVV’s TA Score has 6 bullish TA indicator(s).
- PAG’s TA Score: 3 bullish, 6 bearish.
- SVV’s TA Score: 6 bullish, 2 bearish.
Price Growth
PAG (@Specialty Stores) experienced а -2.61% price change this week, while SVV (@Specialty Stores) price change was -0.58% for the same time period.
The average weekly price growth across all stocks in the @Specialty Stores industry was -2.09%. For the same industry, the average monthly price growth was -2.41%, and the average quarterly price growth was +1.40%.
Reported Earning Dates
PAG is expected to report earnings on Feb 05, 2025.
SVV is expected to report earnings on Mar 07, 2025.
Industries' Descriptions
@Specialty Stores (-2.09% 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.
| PAG | SVV | PAG / SVV | |
| Capitalization | 10.9B | 3.12B | 350% |
| EBITDA | 1.79B | 202M | 884% |
| Gain YTD | 0.709 | -41.024 | -2% |
| P/E Ratio | 10.37 | 56.82 | 18% |
| Revenue | 29.5B | 1.5B | 1,967% |
| Total Cash | 96.4M | 180M | 54% |
| Total Debt | 7.74B | 1.29B | 601% |
PAG | ||
|---|---|---|
OUTLOOK RATING 1..100 | 6 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 74 Overvalued | |
PROFIT vs RISK RATING 1..100 | 6 | |
SMR RATING 1..100 | 50 | |
PRICE GROWTH RATING 1..100 | 56 | |
P/E GROWTH RATING 1..100 | 24 | |
SEASONALITY SCORE 1..100 | 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.
| PAG | SVV | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 71% | 2 days ago 90% |
| Stochastic ODDS (%) | 2 days ago 75% | 2 days ago 86% |
| Momentum ODDS (%) | 2 days ago 55% | 2 days ago 73% |
| MACD ODDS (%) | 2 days ago 61% | 2 days ago 77% |
| TrendWeek ODDS (%) | 2 days ago 54% | 2 days ago 87% |
| TrendMonth ODDS (%) | 2 days ago 57% | 2 days ago 74% |
| Advances ODDS (%) | 6 days ago 72% | 3 days ago 74% |
| Declines ODDS (%) | 8 days ago 57% | 14 days ago 88% |
| BollingerBands ODDS (%) | 2 days ago 81% | N/A |
| Aroon ODDS (%) | 2 days ago 58% | 2 days ago 81% |
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.
SVV and
Correlation & Price change
A.I.dvisor indicates that over the last year, SVV has been loosely correlated with RH. These tickers have moved in lockstep 42% of the time. This A.I.-generated data suggests there is some statistical probability that if SVV jumps, then RH could also see price increases.