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AL vs PYPL
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 AL is a StrongBuy and PYPL 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).
AL’s FA Score shows that 1 FA rating(s) are green whilePYPL’s FA Score has 0 green FA rating(s).
- AL’s FA Score: 1 green, 4 red.
- PYPL’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.
AL’s TA Score shows that 4 TA indicator(s) are bullish while PYPL’s TA Score has 6 bullish TA indicator(s).
- AL’s TA Score: 4 bullish, 5 bearish.
- PYPL’s TA Score: 6 bullish, 2 bearish.
Price Growth
AL (@Finance/Rental/Leasing) experienced а -0.02% price change this week, while PYPL (@Savings Banks) price change was -1.11% for the same time period.
The average weekly price growth across all stocks in the @Finance/Rental/Leasing industry was -2.03%. For the same industry, the average monthly price growth was +0.02%, and the average quarterly price growth was +14.61%.
The average weekly price growth across all stocks in the @Savings Banks industry was -1.51%. For the same industry, the average monthly price growth was +3.17%, and the average quarterly price growth was +37.41%.
Reported Earning Dates
AL is expected to report earnings on Oct 30, 2025.
PYPL is expected to report earnings on Oct 28, 2025.
Industries' Descriptions
@Finance/Rental/Leasing (-2.03% 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).
@Savings Banks (-1.51% 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.
| AL | PYPL | AL / PYPL | |
| Capitalization | 7.1B | 64.8B | 11% |
| EBITDA | 2.47B | 7.26B | 34% |
| Gain YTD | 33.387 | -20.492 | -163% |
| P/E Ratio | 7.71 | 14.53 | 53% |
| Revenue | 2.87B | 32.3B | 9% |
| Total Cash | 455M | 10B | 5% |
| Total Debt | 20.3B | 11.3B | 180% |
AL | PYPL | ||
|---|---|---|---|
OUTLOOK RATING 1..100 | 10 | 55 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 86 Overvalued | 83 Overvalued | |
PROFIT vs RISK RATING 1..100 | 25 | 100 | |
SMR RATING 1..100 | 63 | 41 | |
PRICE GROWTH RATING 1..100 | 44 | 62 | |
P/E GROWTH RATING 1..100 | 73 | 78 | |
SEASONALITY SCORE 1..100 | 50 | 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.
PYPL's Valuation (83) in the Data Processing Services industry is in the same range as AL (86) in the Finance Or Rental Or Leasing industry. This means that PYPL’s stock grew similarly to AL’s over the last 12 months.
AL's Profit vs Risk Rating (25) in the Finance Or Rental Or Leasing industry is significantly better than the same rating for PYPL (100) in the Data Processing Services industry. This means that AL’s stock grew significantly faster than PYPL’s over the last 12 months.
PYPL's SMR Rating (41) in the Data Processing Services industry is in the same range as AL (63) in the Finance Or Rental Or Leasing industry. This means that PYPL’s stock grew similarly to AL’s over the last 12 months.
AL's Price Growth Rating (44) in the Finance Or Rental Or Leasing industry is in the same range as PYPL (62) in the Data Processing Services industry. This means that AL’s stock grew similarly to PYPL’s over the last 12 months.
AL's P/E Growth Rating (73) in the Finance Or Rental Or Leasing industry is in the same range as PYPL (78) in the Data Processing Services industry. This means that AL’s stock grew similarly to PYPL’s over the last 12 months.
| AL | PYPL | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 76% | 2 days ago 68% |
| Stochastic ODDS (%) | 2 days ago 78% | 2 days ago 72% |
| Momentum ODDS (%) | 2 days ago 68% | 2 days ago 69% |
| MACD ODDS (%) | 2 days ago 70% | 2 days ago 72% |
| TrendWeek ODDS (%) | 2 days ago 67% | 2 days ago 71% |
| TrendMonth ODDS (%) | 2 days ago 63% | 2 days ago 71% |
| Advances ODDS (%) | 29 days ago 65% | 28 days ago 67% |
| Declines ODDS (%) | 14 days ago 71% | 3 days ago 73% |
| BollingerBands ODDS (%) | 2 days ago 76% | 2 days ago 69% |
| Aroon ODDS (%) | 2 days ago 59% | 2 days ago 65% |
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AL and
Correlation & Price change
A.I.dvisor indicates that over the last year, AL has been closely correlated with OMF. These tickers have moved in lockstep 75% of the time. This A.I.-generated data suggests there is a high statistical probability that if AL jumps, then OMF could also see price increases.
PYPL and
Correlation & Price change
A.I.dvisor indicates that over the last year, PYPL has been loosely correlated with SYF. These tickers have moved in lockstep 63% of the time. This A.I.-generated data suggests there is some statistical probability that if PYPL jumps, then SYF could also see price increases.
| Ticker / NAME | Correlation To PYPL | 1D Price Change % | ||
|---|---|---|---|---|
| PYPL | 100% | +0.82% | ||
| SYF - PYPL | 63% Loosely correlated | -0.15% | ||
| OMF - PYPL | 56% Loosely correlated | -0.46% | ||
| COF - PYPL | 56% Loosely correlated | +0.59% | ||
| BFH - PYPL | 56% Loosely correlated | -0.56% | ||
| AL - PYPL | 56% Loosely correlated | +0.05% | ||
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