HUBS vs PYPL: Correlation
How closely do HubSpot, Inc. (HUBS) and PayPal (PYPL) trade together? Their weekly returns over three years give a correlation of 0.50, which is moderate.
Data as of 2026-08-27 · refreshed every trading day · weekly returns · methodology
How correlated are HUBS and PYPL?
Over the past 3 years, HUBS and PYPL moved with a correlation of 0.50, which is moderate. The relationship has been stable: the 1-year correlation (0.55) sits close to the 3-year figure. Over 5 years the correlation is 0.49, and the annualized covariance of weekly returns is 933.9 %².
Within HUBS's tracked universe of 30 assets, PYPL comes in at #17 by 3-year correlation. Their recent paths diverged sharply: over the last 12 months PYPL outperformed by 34.5 percentage points (-45.5% for HUBS against -11.0% for PYPL).
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.
HUBS vs PYPL: side by side
| HUBS (HubSpot, Inc.) | PYPL (PayPal) | |
|---|---|---|
| 1-year return | -45.5% | -11.0% |
| 5-year return | -63.5% | -78.5% |
| Volatility (ann.) | 50.4% | 37.1% |
| Beta vs S&P 500 | 1.18 | 1.15 |
| Max drawdown (3Y) | -79.2% | -57.3% |
| Market cap | $13.1B | $52.6B |
| P/E (trailing) | 90.7 | 11.7 |
| Dividend yield | 0.00% | 0.91% |
| Sector / category | US Listed | Financials |
Year-by-year returns
| Year | HUBS | PYPL |
|---|---|---|
| 2022 | -56.1% | -62.2% |
| 2023 | +100.8% | -13.8% |
| 2024 | +20.0% | +39.0% |
| 2025 | -42.4% | -31.4% |
| 2026 | -36.2% | +6.0% |
Calendar-year price returns; the current year is year-to-date as of the data date above.
Are HUBS and PYPL good diversifiers for each other?
Only partially. A correlation of 0.50 means HUBS and PYPL share most of their swings. Pairing them dampens volatility somewhat, but it will not protect against a common drawdown.
FAQ
What is the correlation between HUBS and PYPL?
As of 2026-08-27, the correlation of weekly returns between HUBS and PYPL is 0.50 over 3 years, 0.55 over 1 year and 0.49 over 5 years.
Is PYPL a good diversifier for HUBS?
Only partially. A correlation of 0.50 means HUBS and PYPL share most of their swings. Pairing them dampens volatility somewhat, but it will not protect against a common drawdown.
What does a correlation of 0.50 mean?
A reading of 0.50 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/hubs-vs-pypl.json
Drop this badge in a README or notebook; it updates with the data:
[](https://www.pairbook.io/pair/hubs-vs-pypl/)
Free with attribution; caching and terms are described in the API documentation.
Related comparisons
Hubs: HUBS correlations · PYPL correlations
