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FCFS vs SLM
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 FCFS is a Buy and SLM 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).
FCFS’s FA Score shows that 1 FA rating(s) are green whileSLM’s FA Score has 3 green FA rating(s).
- FCFS’s FA Score: 1 green, 4 red.
- SLM’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.
FCFS’s TA Score shows that 4 TA indicator(s) are bullish while SLM’s TA Score has 4 bullish TA indicator(s).
- FCFS’s TA Score: 4 bullish, 4 bearish.
- SLM’s TA Score: 4 bullish, 4 bearish.
Price Growth
FCFS (@Savings Banks) experienced а +4.12% price change this week, while SLM (@Savings Banks) price change was -1.30% for the same time period.
The average weekly price growth across all stocks in the @Savings Banks industry was -2.17%. For the same industry, the average monthly price growth was +2.13%, and the average quarterly price growth was +37.63%.
Reported Earning Dates
FCFS is expected to report earnings on Oct 30, 2025.
SLM is expected to report earnings on Oct 22, 2025.
Industries' Descriptions
@Savings Banks (-2.17% weekly)A savings bank primary function is to take deposits and paying interest on those deposits. Originating in Europe during the 18th century, these banks were generally introduced to incentivize people of all stripes to save money and park them with banks. By the 1990s, the internet ushered in online savings banks that allowed savers to deposit/transact with banks digitally, without requiring to visit a branch office. Savings banks have potentially encouraged lower-income population to save and have access to a financial institution to earn interest on their money. New York Community Bancorp, Inc, Webster Financial Corporation, Washington Federal, Inc. are examples of savings banks.
| FCFS | SLM | FCFS / SLM | |
| Capitalization | 6.86B | 5.85B | 117% |
| EBITDA | 969M | N/A | - |
| Gain YTD | 50.685 | 3.119 | 1,625% |
| P/E Ratio | 23.80 | 13.63 | 175% |
| Revenue | 3.39B | 1.76B | 193% |
| Total Cash | 101M | N/A | - |
| Total Debt | 2.02B | 6.41B | 32% |
FCFS | SLM | ||
|---|---|---|---|
OUTLOOK RATING 1..100 | 16 | 4 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 94 Overvalued | 68 Overvalued | |
PROFIT vs RISK RATING 1..100 | 9 | 15 | |
SMR RATING 1..100 | 56 | 11 | |
PRICE GROWTH RATING 1..100 | 47 | 61 | |
P/E GROWTH RATING 1..100 | 37 | 9 | |
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.
SLM's Valuation (68) in the Finance Or Rental Or Leasing industry is in the same range as FCFS (94). This means that SLM’s stock grew similarly to FCFS’s over the last 12 months.
FCFS's Profit vs Risk Rating (9) in the Finance Or Rental Or Leasing industry is in the same range as SLM (15). This means that FCFS’s stock grew similarly to SLM’s over the last 12 months.
SLM's SMR Rating (11) in the Finance Or Rental Or Leasing industry is somewhat better than the same rating for FCFS (56). This means that SLM’s stock grew somewhat faster than FCFS’s over the last 12 months.
FCFS's Price Growth Rating (47) in the Finance Or Rental Or Leasing industry is in the same range as SLM (61). This means that FCFS’s stock grew similarly to SLM’s over the last 12 months.
SLM's P/E Growth Rating (9) in the Finance Or Rental Or Leasing industry is in the same range as FCFS (37). This means that SLM’s stock grew similarly to FCFS’s over the last 12 months.
| FCFS | SLM | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 60% | 2 days ago 77% |
| Stochastic ODDS (%) | 2 days ago 50% | 2 days ago 70% |
| Momentum ODDS (%) | 2 days ago 68% | 2 days ago 73% |
| MACD ODDS (%) | 2 days ago 73% | 2 days ago 59% |
| TrendWeek ODDS (%) | 2 days ago 69% | 2 days ago 61% |
| TrendMonth ODDS (%) | 2 days ago 66% | 2 days ago 72% |
| Advances ODDS (%) | 2 days ago 67% | 9 days ago 71% |
| Declines ODDS (%) | 17 days ago 60% | 12 days ago 60% |
| BollingerBands ODDS (%) | 2 days ago 49% | 2 days ago 68% |
| Aroon ODDS (%) | 2 days ago 58% | 2 days ago 63% |
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FCFS and
Correlation & Price change
A.I.dvisor indicates that over the last year, FCFS has been loosely correlated with EZPW. These tickers have moved in lockstep 47% of the time. This A.I.-generated data suggests there is some statistical probability that if FCFS jumps, then EZPW could also see price increases.
| Ticker / NAME | Correlation To FCFS | 1D Price Change % | ||
|---|---|---|---|---|
| FCFS | 100% | +2.95% | ||
| EZPW - FCFS | 47% Loosely correlated | +1.66% | ||
| UPBD - FCFS | 43% Loosely correlated | -3.64% | ||
| BBDC - FCFS | 34% Loosely correlated | +0.56% | ||
| COF - FCFS | 32% Poorly correlated | -0.84% | ||
| SLM - FCFS | 32% Poorly correlated | -1.27% | ||
More | ||||
SLM and
Correlation & Price change
A.I.dvisor indicates that over the last year, SLM has been closely correlated with SYF. These tickers have moved in lockstep 76% of the time. This A.I.-generated data suggests there is a high statistical probability that if SLM jumps, then SYF could also see price increases.