KFS vs KMX
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 KFS is a StrongSell and KMX 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).
KFS’s FA Score shows that 2 FA rating(s) are green whileKMX’s FA Score has 0 green FA rating(s).
- KFS’s FA Score: 2 green, 3 red.
- KMX’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.
KFS’s TA Score shows that 3 TA indicator(s) are bullish while KMX’s TA Score has 5 bullish TA indicator(s).
- KFS’s TA Score: 3 bullish, 4 bearish.
- KMX’s TA Score: 5 bullish, 4 bearish.
Price Growth
KFS (@Specialty Stores) experienced а -6.32% price change this week, while KMX (@Specialty Stores) price change was +2.32% for the same time period.
The average weekly price growth across all stocks in the @Specialty Stores industry was +1.42%. For the same industry, the average monthly price growth was +0.63%, and the average quarterly price growth was +25.09%.
Reported Earning Dates
KFS is expected to report earnings on Nov 06, 2024.
KMX is expected to report earnings on Dec 19, 2024.
Industries' Descriptions
@Specialty Stores (+1.42% 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.
| KFS | KMX | KFS / KMX | |
| Capitalization | 229M | 13.8B | 2% |
| EBITDA | N/A | 1.61B | - |
| Gain YTD | 4.048 | 1.916 | 211% |
| P/E Ratio | 8.59 | 27.46 | 31% |
| Revenue | 108M | 26.6B | 0% |
| Total Cash | 15.2M | 605M | 3% |
| Total Debt | 45.6M | 19.5B | 0% |
KFS | KMX | ||
|---|---|---|---|
OUTLOOK RATING 1..100 | 76 | 15 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 66 Overvalued | 79 Overvalued | |
PROFIT vs RISK RATING 1..100 | 18 | 100 | |
SMR RATING 1..100 | 12 | 80 | |
PRICE GROWTH RATING 1..100 | 46 | 49 | |
P/E GROWTH RATING 1..100 | 40 | 41 | |
SEASONALITY SCORE 1..100 | 65 | 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.
KFS's Valuation (66) in the Property Or Casualty Insurance industry is in the same range as KMX (79) in the Specialty Stores industry. This means that KFS’s stock grew similarly to KMX’s over the last 12 months.
KFS's Profit vs Risk Rating (18) in the Property Or Casualty Insurance industry is significantly better than the same rating for KMX (100) in the Specialty Stores industry. This means that KFS’s stock grew significantly faster than KMX’s over the last 12 months.
KFS's SMR Rating (12) in the Property Or Casualty Insurance industry is significantly better than the same rating for KMX (80) in the Specialty Stores industry. This means that KFS’s stock grew significantly faster than KMX’s over the last 12 months.
KFS's Price Growth Rating (46) in the Property Or Casualty Insurance industry is in the same range as KMX (49) in the Specialty Stores industry. This means that KFS’s stock grew similarly to KMX’s over the last 12 months.
KFS's P/E Growth Rating (40) in the Property Or Casualty Insurance industry is in the same range as KMX (41) in the Specialty Stores industry. This means that KFS’s stock grew similarly to KMX’s over the last 12 months.
| KFS | KMX | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 56% | N/A |
| Stochastic ODDS (%) | 2 days ago 68% | 2 days ago 73% |
| Momentum ODDS (%) | 2 days ago 55% | 2 days ago 72% |
| MACD ODDS (%) | 2 days ago 54% | N/A |
| TrendWeek ODDS (%) | 2 days ago 59% | 2 days ago 69% |
| TrendMonth ODDS (%) | 2 days ago 69% | 2 days ago 69% |
| Advances ODDS (%) | N/A | 2 days ago 67% |
| Declines ODDS (%) | 4 days ago 61% | 8 days ago 0% |
| BollingerBands ODDS (%) | N/A | 2 days ago 63% |
| Aroon ODDS (%) | 2 days ago 67% | 2 days ago 64% |
KFS and
Correlation & Price change
A.I.dvisor tells us that KFS and TTSH have been poorly correlated (+27% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that KFS and TTSH's prices will move in lockstep.
| Ticker / NAME | Correlation To KFS | 1D Price Change % | ||
|---|---|---|---|---|
| KFS | 100% | -1.91% | ||
| TTSH - KFS | 27% Poorly correlated | -6.37% | ||
| KAR - KFS | 25% Poorly correlated | -2.05% | ||
| AAP - KFS | 25% Poorly correlated | +0.64% | ||
| CHPT - KFS | 24% Poorly correlated | +1.82% | ||
| KMX - KFS | 24% Poorly correlated | +0.45% | ||
More | ||||
KMX and
Correlation & Price change
A.I.dvisor indicates that over the last year, KMX has been closely correlated with AN. These tickers have moved in lockstep 70% of the time. This A.I.-generated data suggests there is a high statistical probability that if KMX jumps, then AN could also see price increases.