JLL vs SOLV: Correlation
How closely do Jones Lang LaSalle Incorporated (JLL) and Solventum (SOLV) 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 JLL and SOLV?
On 3 years of weekly data the JLL/SOLV correlation comes out at 0.48, moderate. Recent behaviour matches the longer record: 0.47 over 1 year against 0.48 over 3. The 5-year figure is n/a, and annualized covariance runs at 467.2 %².
By 3-year correlation, SOLV places #16 of the 26 assets tracked against JLL. Twelve-month performance is nearly a tie, at +23.8% for JLL and +24.7% for SOLV.
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.
JLL vs SOLV: side by side
| JLL (Jones Lang LaSalle Incorporated) | SOLV (Solventum) | |
|---|---|---|
| 1-year return | +23.8% | +24.7% |
| 5-year return | +55.9% | n/a |
| Volatility (ann.) | 34.9% | 30.4% |
| Beta vs S&P 500 | 1.30 | 0.62 |
| Max drawdown (3Y) | -30.6% | -40.0% |
| Market cap | $17.4B | $15.5B |
| P/E (trailing) | 18.5 | 11.2 |
| Dividend yield | 0.00% | 0.00% |
| Sector / category | US Listed | Health Care |
Year-by-year returns
| Year | JLL | SOLV |
|---|---|---|
| 2022 | -40.8% | – |
| 2023 | +18.5% | – |
| 2024 | +34.0% | – |
| 2025 | +32.9% | +20.0% |
| 2026 | +12.6% | +14.8% |
Calendar-year price returns; the current year is year-to-date as of the data date above.
Are JLL and SOLV good diversifiers for each other?
Reasonably. At 0.48, JLL and SOLV keep a meaningful degree of independence, and combining them has historically reduced portfolio volatility.
FAQ
What is the correlation between JLL and SOLV?
The JLL/SOLV correlation stands at 0.48 on a 3-year window (1 year: 0.47, 5 years: n/a), computed from weekly returns as of 2026-08-27.
Is SOLV a good diversifier for JLL?
Reasonably. At 0.48, JLL and SOLV keep a meaningful degree of independence, and combining them has historically reduced portfolio volatility.
What does a correlation of 0.48 mean?
Correlation ranges from −1 to +1. Values near +1 mean two assets move together, near 0 that they move independently, and negative values that they tend to move in opposite directions. It measures co-movement, not performance.
Use this data
$ curl https://www.pairbook.io/api/v1/pairs/jll-vs-solv.json
Drop this badge in a README or notebook; it updates with the data:
[](https://www.pairbook.io/pair/jll-vs-solv/)
No key needed, free to use. Full endpoint list in the API documentation.
Related comparisons
Hubs: JLL correlations · SOLV correlations