Advertisement
KGFHY vs PAG
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 KGFHY is a StrongBuy and PAG 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).
KGFHY’s FA Score shows that 2 FA rating(s) are green whilePAG’s FA Score has 2 green FA rating(s).
- KGFHY’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.
KGFHY’s TA Score shows that 4 TA indicator(s) are bullish while PAG’s TA Score has 4 bullish TA indicator(s).
- KGFHY’s TA Score: 4 bullish, 6 bearish.
- PAG’s TA Score: 4 bullish, 4 bearish.
Price Growth
KGFHY (@Specialty Stores) experienced а +7.17% price change this week, while PAG (@Specialty Stores) price change was -0.06% for the same time period.
The average weekly price growth across all stocks in the @Specialty Stores industry was +2.57%. For the same industry, the average monthly price growth was +2.72%, and the average quarterly price growth was +2.70%.
Reported Earning Dates
KGFHY is expected to report earnings on Sep 23, 2025.
PAG is expected to report earnings on Jul 23, 2025.
Industries' Descriptions
@Specialty Stores (+2.57% 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.
| KGFHY | PAG | KGFHY / PAG | |
| Capitalization | 6B | 10.9B | 55% |
| EBITDA | 1.32B | 1.79B | 74% |
| Gain YTD | 32.356 | 15.475 | 209% |
| P/E Ratio | 10.43 | 10.37 | 101% |
| Revenue | 13.1B | 29.5B | 44% |
| Total Cash | N/A | 96.4M | - |
| Total Debt | N/A | 7.74B | - |
KGFHY | PAG | ||
|---|---|---|---|
OUTLOOK RATING 1..100 | 57 | 15 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 19 Undervalued | 62 Fair valued | |
PROFIT vs RISK RATING 1..100 | 48 | 4 | |
SMR RATING 1..100 | 93 | 48 | |
PRICE GROWTH RATING 1..100 | 45 | 43 | |
P/E GROWTH RATING 1..100 | 9 | 30 | |
SEASONALITY SCORE 1..100 | 85 | 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.
KGFHY's Valuation (19) in the null industry is somewhat better than the same rating for PAG (62) in the Specialty Stores industry. This means that KGFHY’s stock grew somewhat faster than PAG’s over the last 12 months.
PAG's Profit vs Risk Rating (4) in the Specialty Stores industry is somewhat better than the same rating for KGFHY (48) in the null industry. This means that PAG’s stock grew somewhat faster than KGFHY’s over the last 12 months.
PAG's SMR Rating (48) in the Specialty Stores industry is somewhat better than the same rating for KGFHY (93) in the null industry. This means that PAG’s stock grew somewhat faster than KGFHY’s over the last 12 months.
PAG's Price Growth Rating (43) in the Specialty Stores industry is in the same range as KGFHY (45) in the null industry. This means that PAG’s stock grew similarly to KGFHY’s over the last 12 months.
KGFHY's P/E Growth Rating (9) in the null industry is in the same range as PAG (30) in the Specialty Stores industry. This means that KGFHY’s stock grew similarly to PAG’s over the last 12 months.
| KGFHY | PAG | |
|---|---|---|
| RSI ODDS (%) | 5 days ago 55% | 2 days ago 71% |
| Stochastic ODDS (%) | 2 days ago 58% | 2 days ago 62% |
| Momentum ODDS (%) | 2 days ago 64% | 2 days ago 75% |
| MACD ODDS (%) | 2 days ago 66% | 2 days ago 67% |
| TrendWeek ODDS (%) | 2 days ago 64% | 2 days ago 70% |
| TrendMonth ODDS (%) | 2 days ago 65% | 2 days ago 67% |
| Advances ODDS (%) | 2 days ago 65% | 5 days ago 72% |
| Declines ODDS (%) | 10 days ago 65% | 2 days ago 57% |
| BollingerBands ODDS (%) | 2 days ago 57% | 2 days ago 60% |
| Aroon ODDS (%) | 2 days ago 63% | 2 days ago 67% |
Advertisement
KGFHY and
Correlation & Price change
A.I.dvisor indicates that over the last year, KGFHY has been loosely correlated with PAG. These tickers have moved in lockstep 45% of the time. This A.I.-generated data suggests there is some statistical probability that if KGFHY jumps, then PAG could also see price increases.
| Ticker / NAME | Correlation To KGFHY | 1D Price Change % | ||
|---|---|---|---|---|
| KGFHY | 100% | +0.77% | ||
| PAG - KGFHY | 45% Loosely correlated | +0.03% | ||
| CWH - KGFHY | 44% Loosely correlated | +2.68% | ||
| ABG - KGFHY | 44% Loosely correlated | +1.77% | ||
| KAR - KGFHY | 44% Loosely correlated | +2.22% | ||
| DUFRY - KGFHY | 44% Loosely correlated | +0.38% | ||
More | ||||
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.