CRM vs PYPL: Correlation
How closely do Salesforce (CRM) and PayPal (PYPL) trade together? Their weekly returns over three years give a correlation of 0.48, which is moderate.
Data as of 2026-08-27 · refreshed every trading day · weekly returns · methodology
How correlated are CRM and PYPL?
Across a 3-year window, the weekly returns of CRM and PYPL correlate at 0.48, moderate. Recent behaviour matches the longer record: 0.42 over 1 year against 0.48 over 3. Stretching to 5 years gives 0.55, with an annualized covariance of 668.2 %².
By 3-year correlation, PYPL places #47 of the 68 assets tracked against CRM. The trailing year gives CRM the advantage: +1.6% versus -11.0%, a 12.6-point spread. On a rolling one-year basis the correlation drifted between 0.30 and 0.75, a moderate band.
How is this computed?
Pearson correlation on weekly returns: ρ(A,B) = cov(rA, rB) / (σA · σB), over windows of 52, 156 and 260 weeks. Covariance is annualized (×52) and expressed in %². Full definitions on the methodology page.
CRM vs PYPL: side by side
| CRM (Salesforce) | PYPL (PayPal) | |
|---|---|---|
| 1-year return | +1.6% | -11.0% |
| 5-year return | -3.2% | -78.5% |
| Volatility (ann.) | 37.6% | 37.1% |
| Beta vs S&P 500 | 1.21 | 1.15 |
| Max drawdown (3Y) | -58.7% | -57.3% |
| Market cap | $207.4B | $52.6B |
| P/E (trailing) | 18.8 | 11.7 |
| Dividend yield | 0.00% | 0.91% |
| Sector / category | Information Technology | Financials |
Year-by-year returns
| Year | CRM | PYPL |
|---|---|---|
| 2022 | -47.8% | -62.2% |
| 2023 | +98.5% | -13.8% |
| 2024 | +27.8% | +39.0% |
| 2025 | -20.2% | -31.4% |
| 2026 | -4.4% | +6.0% |
Calendar-year price returns; the current year is year-to-date as of the data date above.
Are CRM and PYPL good diversifiers for each other?
A fair diversifier. At 0.48, enough of each asset's movement is its own that the pair has smoothed outcomes historically.
FAQ
What is the correlation between CRM and PYPL?
As of 2026-08-27, the correlation of weekly returns between CRM and PYPL is 0.48 over 3 years, 0.42 over 1 year and 0.55 over 5 years.
Is PYPL a good diversifier for CRM?
A fair diversifier. At 0.48, enough of each asset's movement is its own that the pair has smoothed outcomes historically.
What does a correlation of 0.48 mean?
A reading of 0.48 sits on a scale from −1 (opposite moves) through 0 (unrelated) to +1 (identical moves). Correlation captures direction, not magnitude or performance.
Use this data
$ curl https://www.pairbook.io/api/v1/pairs/crm-vs-pypl.json
Drop this badge in a README or notebook; it updates with the data:
[](https://www.pairbook.io/pair/crm-vs-pypl/)
Free with attribution; caching and terms are described in the API documentation.
Related comparisons
Hubs: CRM correlations · PYPL correlations
