PYPL vs XYZ: Correlation
Measured on weekly returns over the past three years, PayPal (PYPL) and Block, Inc. (XYZ) carry a correlation of 0.57, a moderate link.
Data as of 2026-08-27 · refreshed every trading day · weekly returns · methodology
How correlated are PYPL and XYZ?
On 3 years of weekly data the PYPL/XYZ correlation comes out at 0.57, moderate. The relationship has been stable: the 1-year correlation (0.56) sits close to the 3-year figure. The 5-year figure is 0.64, and annualized covariance runs at 1059.6 %².
Few assets follow PYPL as closely as XYZ, which ranks #1 of 28 tracked partners. Correlation aside, the last 12 months split them widely, with XYZ ahead by 17.9 points (-11.0% versus +6.9%). Across three years, the rolling one-year figure varied moderately, from 0.38 to 0.70.
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.
PYPL vs XYZ: side by side
| PYPL (PayPal) | XYZ (Block, Inc.) | |
|---|---|---|
| 1-year return | -11.0% | +6.9% |
| 5-year return | -78.5% | -68.8% |
| Volatility (ann.) | 37.1% | 50.2% |
| Beta vs S&P 500 | 1.15 | 1.80 |
| Max drawdown (3Y) | -57.3% | -53.0% |
| Market cap | $52.6B | $51.0B |
| P/E (trailing) | 11.7 | 151.5 |
| Dividend yield | 0.91% | 0.00% |
| Sector / category | Financials | Financials |
Year-by-year returns
| Year | PYPL | XYZ |
|---|---|---|
| 2022 | -62.2% | -61.1% |
| 2023 | -13.8% | +23.1% |
| 2024 | +39.0% | +9.9% |
| 2025 | -31.4% | -23.4% |
| 2026 | +6.0% | +30.4% |
Calendar-year price returns; the current year is year-to-date as of the data date above.
Are PYPL and XYZ good diversifiers for each other?
Somewhat, no more. With 0.57 correlation, most large moves hit both names, and the diversification benefit stays modest.
FAQ
What is the correlation between PYPL and XYZ?
As of 2026-08-27, the correlation of weekly returns between PYPL and XYZ is 0.57 over 3 years, 0.56 over 1 year and 0.64 over 5 years.
Is XYZ a good diversifier for PYPL?
Somewhat, no more. With 0.57 correlation, most large moves hit both names, and the diversification benefit stays modest.
What does a correlation of 0.57 mean?
A reading of 0.57 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/pypl-vs-xyz.json
Markdown for the live badge, attribution link included:
[](https://www.pairbook.io/pair/pypl-vs-xyz/)
Free with attribution; caching and terms are described in the API documentation.
Related comparisons
Hubs: PYPL correlations · XYZ correlations
