COF vs RM
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 COF is a Hold and RM is a StrongSell.
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).
COF’s FA Score shows that 4 FA rating(s) are green whileRM’s FA Score has 3 green FA rating(s).
- COF’s FA Score: 4 green, 1 red.
- RM’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.
COF’s TA Score shows that 3 TA indicator(s) are bullish while RM’s TA Score has 3 bullish TA indicator(s).
- COF’s TA Score: 3 bullish, 4 bearish.
- RM’s TA Score: 3 bullish, 6 bearish.
Price Growth
COF (@Finance/Rental/Leasing) experienced а -0.66% price change this week, while RM (@Finance/Rental/Leasing) price change was -3.57% for the same time period.
The average weekly price growth across all stocks in the @Finance/Rental/Leasing industry was +0.36%. For the same industry, the average monthly price growth was +5.33%, and the average quarterly price growth was +20.26%.
Reported Earning Dates
COF is expected to report earnings on Jan 28, 2025.
RM is expected to report earnings on Feb 05, 2025.
Industries' Descriptions
@Finance/Rental/Leasing (+0.36% weekly)A leasing company (e.g. United Rentals, Inc. ) is typically the legal owner of the asset for the duration of the lease, while the lessee has operating control over the asset while also having some share of the economic risks and returns from the change in the valuation of the underlying asset. Per capita disposable income and corporate earnings or cash flow could be some of the critical metrics for this business – the higher the values of these metrics, the potentially greater ability of consumers/businesses to afford apartments/office spaces for rent. Other finance companies include credit/debit card payment processing companies (e.g. Visa Inc. and Mastercard), private label credit cards providers (e.g. Synchrony Financial) and automobile finance companies (e.g. Credit Acceptance Corporation).
| COF | RM | COF / RM | |
| Capitalization | 56.6B | 236M | 23,983% |
| EBITDA | N/A | N/A | - |
| Gain YTD | 41.869 | 22.556 | 186% |
| P/E Ratio | 12.16 | 14.49 | 84% |
| Revenue | 36.8B | 484M | 7,603% |
| Total Cash | 3.36B | 7.41M | 45,326% |
| Total Debt | 49.3B | 1.43B | 3,443% |
COF | RM | ||
|---|---|---|---|
OUTLOOK RATING 1..100 | 12 | 71 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 91 Overvalued | 16 Undervalued | |
PROFIT vs RISK RATING 1..100 | 28 | 86 | |
SMR RATING 1..100 | 2 | 13 | |
PRICE GROWTH RATING 1..100 | 4 | 55 | |
P/E GROWTH RATING 1..100 | 10 | 25 | |
SEASONALITY SCORE 1..100 | 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.
RM's Valuation (16) in the Finance Or Rental Or Leasing industry is significantly better than the same rating for COF (91) in the Major Banks industry. This means that RM’s stock grew significantly faster than COF’s over the last 12 months.
COF's Profit vs Risk Rating (28) in the Major Banks industry is somewhat better than the same rating for RM (86) in the Finance Or Rental Or Leasing industry. This means that COF’s stock grew somewhat faster than RM’s over the last 12 months.
COF's SMR Rating (2) in the Major Banks industry is in the same range as RM (13) in the Finance Or Rental Or Leasing industry. This means that COF’s stock grew similarly to RM’s over the last 12 months.
COF's Price Growth Rating (4) in the Major Banks industry is somewhat better than the same rating for RM (55) in the Finance Or Rental Or Leasing industry. This means that COF’s stock grew somewhat faster than RM’s over the last 12 months.
COF's P/E Growth Rating (10) in the Major Banks industry is in the same range as RM (25) in the Finance Or Rental Or Leasing industry. This means that COF’s stock grew similarly to RM’s over the last 12 months.
| COF | RM | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 68% | 2 days ago 74% |
| Stochastic ODDS (%) | 2 days ago 64% | 2 days ago 78% |
| Momentum ODDS (%) | N/A | 2 days ago 77% |
| MACD ODDS (%) | 2 days ago 66% | 2 days ago 76% |
| TrendWeek ODDS (%) | 2 days ago 62% | 2 days ago 72% |
| TrendMonth ODDS (%) | 2 days ago 72% | 2 days ago 74% |
| Advances ODDS (%) | 5 days ago 67% | 10 days ago 0% |
| Declines ODDS (%) | 2 days ago 60% | 3 days ago 72% |
| BollingerBands ODDS (%) | 2 days ago 69% | 2 days ago 65% |
| Aroon ODDS (%) | 2 days ago 72% | 2 days ago 79% |
COF and
Correlation & Price change
A.I.dvisor indicates that over the last year, COF has been closely correlated with SYF. These tickers have moved in lockstep 84% of the time. This A.I.-generated data suggests there is a high statistical probability that if COF jumps, then SYF could also see price increases.
RM and
Correlation & Price change
A.I.dvisor indicates that over the last year, RM has been loosely correlated with SYF. These tickers have moved in lockstep 49% of the time. This A.I.-generated data suggests there is some statistical probability that if RM jumps, then SYF could also see price increases.