This comparison examines PYPL and R to highlight differences in business models, recent market performance, and positioning within their respective sectors. PayPal Holdings, Inc. provides digital payment solutions, while Ryder System, Inc. delivers transportation, logistics, and fleet-management services. The analysis focuses on observable trends over recent weeks and broader performance metrics, offering insights relevant to investors evaluating relative momentum, sector exposure, and risk profiles in the current environment.
PayPal Holdings, Inc. operates a leading digital payments platform serving consumers and merchants globally. In recent market activity, shares have traded around $56, reflecting limited year-to-date gains amid broader market advances. Takeover speculation involving a potential bid from Stripe and Advent International generated volatility, with shares rising on reports before moderating after the board deemed an initial offer inadequate. Analyst commentary has included upgrades from firms such as Truist and Barclays, citing the possibility of strategic transactions. The company is scheduled to report second-quarter 2026 results on July 28, with consensus estimates pointing to revenue of approximately $8.51 billion and non-GAAP EPS of $1.28. Sentiment has been influenced by ongoing competition in payments and macroeconomic factors affecting transaction volumes.
Ryder System, Inc. provides integrated transportation, logistics, and fleet-management solutions primarily in North America. Recent market activity shows shares trading near $275, supported by robust year-to-date returns exceeding 44%. The company reported second-quarter 2026 results that beat expectations, with comparable EPS of $3.73 and revenue of $3.35 billion, prompting an upward revision to full-year 2026 EPS guidance of $14.40–$14.80. An earnings call on July 23 highlighted operational improvements and a favorable used-vehicle market. Performance has benefited from execution on strategic initiatives and share repurchases, contributing to sustained positive momentum over recent weeks.
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PYPL and R operate in distinct sectors—digital payments versus transportation and logistics—creating different growth drivers and risk exposures. PYPL contends with competitive pressures and sensitivity to consumer spending patterns, while R benefits from demand for fleet services and has demonstrated resilience through earnings beats and guidance increases. Recent momentum favors R, with superior year-to-date and longer-term returns compared to PYPL’s more modest performance. Risk factors for PYPL include merger-and-acquisition uncertainty and margin dynamics, whereas R faces typical cyclical exposure in transportation but has shown operational stability. Market sentiment reflects greater near-term optimism around R’s execution versus the event-driven volatility surrounding PYPL.
Based on observable factors such as trend consistency, earnings delivery, and relative positioning, Tickeron’s AI would currently assign a higher probability of favorable near-term performance to R. Stronger momentum, successful guidance raises, and sector tailwinds provide a clearer trajectory compared to PYPL’s event-driven environment and more muted year-to-date results. This assessment remains probabilistic and subject to evolving market conditions.
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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).
PYPL’s FA Score shows that 0 FA rating(s) are green whileR’s FA Score has 3 green FA rating(s).
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.
PYPL’s TA Score shows that 3 TA indicator(s) are bullish while R’s TA Score has 4 bullish TA indicator(s).
PYPL (@Savings Banks) experienced а +2.07% price change this week, while R (@Finance/Rental/Leasing) price change was -0.84% for the same time period.
The average weekly price growth across all stocks in the @Savings Banks industry was +0.54%. For the same industry, the average monthly price growth was +0.03%, and the average quarterly price growth was +9.39%.
The average weekly price growth across all stocks in the @Finance/Rental/Leasing industry was +2.75%. For the same industry, the average monthly price growth was +5.10%, and the average quarterly price growth was +11.29%.
PYPL is expected to report earnings on Oct 27, 2026.
R is expected to report earnings on Oct 22, 2026.
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.
@Finance/Rental/Leasing (+2.75% 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).
| PYPL | R | PYPL / R | |
| Capitalization | 50.5B | 9.98B | 506% |
| EBITDA | 7.29B | 3.31B | 220% |
| Gain YTD | 1.823 | 37.053 | 5% |
| P/E Ratio | 11.17 | 21.15 | 53% |
| Revenue | 34.1B | 12.9B | 264% |
| Total Cash | 11.3B | 219M | 5,160% |
| Total Debt | 13.4B | 8.45B | 159% |
PYPL | R | ||
|---|---|---|---|
OUTLOOK RATING 1..100 | 50 | 56 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 72 Overvalued | 13 Undervalued | |
PROFIT vs RISK RATING 1..100 | 100 | 3 | |
SMR RATING 1..100 | 39 | 53 | |
PRICE GROWTH RATING 1..100 | 38 | 44 | |
P/E GROWTH RATING 1..100 | 78 | 20 | |
SEASONALITY SCORE 1..100 | n/a | 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.
R's Valuation (13) in the Finance Or Rental Or Leasing industry is somewhat better than the same rating for PYPL (72) in the Data Processing Services industry. This means that R’s stock grew somewhat faster than PYPL’s over the last 12 months.
R's Profit vs Risk Rating (3) 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 R’s stock grew significantly faster than PYPL’s over the last 12 months.
PYPL's SMR Rating (39) in the Data Processing Services industry is in the same range as R (53) in the Finance Or Rental Or Leasing industry. This means that PYPL’s stock grew similarly to R’s over the last 12 months.
PYPL's Price Growth Rating (38) in the Data Processing Services industry is in the same range as R (44) in the Finance Or Rental Or Leasing industry. This means that PYPL’s stock grew similarly to R’s over the last 12 months.
R's P/E Growth Rating (20) in the Finance Or Rental Or Leasing industry is somewhat better than the same rating for PYPL (78) in the Data Processing Services industry. This means that R’s stock grew somewhat faster than PYPL’s over the last 12 months.
| PYPL | R | |
|---|---|---|
| RSI ODDS (%) | 5 days ago 77% | N/A |
| Stochastic ODDS (%) | 5 days ago 76% | 5 days ago 83% |
| Momentum ODDS (%) | N/A | 5 days ago 55% |
| MACD ODDS (%) | 5 days ago 76% | 5 days ago 54% |
| TrendWeek ODDS (%) | 5 days ago 66% | 5 days ago 73% |
| TrendMonth ODDS (%) | 5 days ago 68% | 5 days ago 46% |
| Advances ODDS (%) | 8 days ago 63% | 8 days ago 72% |
| Declines ODDS (%) | 12 days ago 75% | 5 days ago 49% |
| BollingerBands ODDS (%) | 5 days ago 86% | 5 days ago 79% |
| Aroon ODDS (%) | 5 days ago 64% | 5 days ago 67% |
A.I.dvisor indicates that over the last year, PYPL has been loosely correlated with AER. These tickers have moved in lockstep 52% of the time. This A.I.-generated data suggests there is some statistical probability that if PYPL jumps, then AER could also see price increases.
| Ticker / NAME | Correlation To PYPL | 1D Price Change % | ||
|---|---|---|---|---|
| PYPL | 100% | N/A | ||
| AER - PYPL | 52% Loosely correlated | -1.41% | ||
| R - PYPL | 51% Loosely correlated | -0.77% | ||
| URI - PYPL | 51% Loosely correlated | -2.18% | ||
| UPBD - PYPL | 46% Loosely correlated | -3.08% | ||
| OBDC - PYPL | 46% Loosely correlated | -0.77% | ||
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A.I.dvisor indicates that over the last year, R has been closely correlated with AXP. These tickers have moved in lockstep 73% of the time. This A.I.-generated data suggests there is a high statistical probability that if R jumps, then AXP could also see price increases.