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CRM vs PM: Correlation

Measured on weekly returns over the past three years, Salesforce (CRM) and Philip Morris International (PM) carry a correlation of -0.24, a negative link.

Data as of 2026-08-27 · refreshed every trading day · weekly returns · methodology

Correlation (3Y)
-0.24
negative
Correlation (1Y)
-0.34
last 12 months
Correlation (5Y)
-0.03
long-run
Ann. covariance
-206.5
%² · weekly, annualized

How correlated are CRM and PM?

On 3 years of weekly data the CRM/PM correlation comes out at -0.24, negative, meaning they tend to move in opposite directions. The link has loosened recently: the 1-year correlation (-0.34) runs below the 3-year figure (-0.24). The 5-year figure is -0.03, and annualized covariance runs at -206.5 %².

Within CRM's tracked universe of 68 assets, PM comes in at #61 by 3-year correlation. The last year tells two different stories: PM led by 18.6 percentage points, +1.6% for CRM against +20.2% for PM. The relationship is regime-dependent: the rolling one-year correlation swung between -0.50 and 0.26 over the past three years, so this pair behaves very differently depending on the market environment. Note the risk asymmetry: CRM runs 1.6 times the annualized volatility of the other leg, so equal-weighting the two is not an equal-risk position.

+1.0+0.50-0.5-1.020232026-08-27
How the one-year correlation itself moved over the past three years.
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 PM: side by side

CRM (Salesforce)PM (Philip Morris International)
1-year return+1.6%+20.2%
5-year return-3.2%+133.5%
Volatility (ann.)37.6%23.1%
Beta vs S&P 5001.21-0.01
Max drawdown (3Y)-58.7%-20.6%
Market cap$207.4B$296.9B
P/E (trailing)18.826.7
Dividend yield0.00%3.03%
Sector / categoryInformation TechnologyConsumer Staples
Lower P/E: CRM 18.8 vs 26.7Higher yield: PM 3.03% vs 0.00%Smaller drawdown: PM -20.6% vs -58.7%Higher 5y return: PM +133.5% vs -3.2%
-39%0%+24%2025-09-052026-08-27
Twelve months of weekly closes, each series rebased to 100. CRM · PM

Year-by-year returns

YearCRMPM
2022-47.8%+12.3%
2023+98.5%-1.9%
2024+27.8%+34.3%
2025-20.2%+38.0%
2026-4.4%+20.8%

Calendar-year price returns; the current year is year-to-date as of the data date above.

Are CRM and PM good diversifiers for each other?

Yes: at -0.24, the two have gone their own ways historically, which is what genuine diversification looks like.

FAQ

What is the correlation between CRM and PM?

As of 2026-08-27, the correlation of weekly returns between CRM and PM is -0.24 over 3 years, -0.34 over 1 year and -0.03 over 5 years.

Is PM a good diversifier for CRM?

Yes: at -0.24, the two have gone their own ways historically, which is what genuine diversification looks like.

What does a correlation of -0.24 mean?

On the −1 to +1 scale, -0.24 describes how much the two returns move together: +1 is lockstep, 0 is independence, negative values mean opposite directions. It says nothing about which performed better.

Use this data

JSON API · no key required
$ curl https://www.pairbook.io/api/v1/pairs/crm-vs-pm.json

CRM vs PM: 3-year weekly correlation -0.24CRM vs PM-0.24

Drop this badge in a README or notebook; it updates with the data:

[![CRM vs PM correlation](https://www.pairbook.io/api/v1/badge/crm-vs-pm.svg)](https://www.pairbook.io/pair/crm-vs-pm/)

No key needed, free to use. Full endpoint list in the API documentation.

Related comparisons

Hubs: CRM correlations · PM correlations