DVA vs JBTM: Correlation
DaVita (DVA) and JBT Marel Corporation (JBTM) show a moderate relationship: their 3-year correlation of weekly returns is 0.39.
Data as of 2026-08-27 · refreshed every trading day · weekly returns · methodology
How correlated are DVA and JBTM?
Across a 3-year window, the weekly returns of DVA and JBTM correlate at 0.39, moderate. Lately the two have moved closer together, with the 1-year correlation at 0.57 versus 0.39 over 3 years. Stretching to 5 years gives 0.32, with an annualized covariance of 568.1 %².
By 3-year correlation, JBTM places #10 of the 38 assets tracked against DVA. Their recent paths diverged sharply: over the last 12 months DVA outperformed by 48.2 percentage points (+30.0% for DVA against -18.2% for JBTM).
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.
DVA vs JBTM: side by side
| DVA (DaVita) | JBTM (JBT Marel Corporation) | |
|---|---|---|
| 1-year return | +30.0% | -18.2% |
| 5-year return | +36.4% | -18.0% |
| Volatility (ann.) | 40.9% | 35.7% |
| Beta vs S&P 500 | 0.38 | 0.79 |
| Max drawdown (3Y) | -41.4% | -32.2% |
| Market cap | $11.4B | $6.1B |
| P/E (trailing) | 15.3 | 32.3 |
| Dividend yield | 0.00% | 0.33% |
| Sector / category | Health Care | US Listed |
Year-by-year returns
| Year | DVA | JBTM |
|---|---|---|
| 2022 | -34.4% | -40.3% |
| 2023 | +40.3% | +9.3% |
| 2024 | +42.8% | +28.3% |
| 2025 | -24.0% | +18.9% |
| 2026 | +57.5% | -21.5% |
Calendar-year price returns; the current year is year-to-date as of the data date above.
Are DVA and JBTM good diversifiers for each other?
A fair diversifier. At 0.39, enough of each asset's movement is its own that the pair has smoothed outcomes historically.
FAQ
What is the correlation between DVA and JBTM?
As of 2026-08-27, the correlation of weekly returns between DVA and JBTM is 0.39 over 3 years, 0.57 over 1 year and 0.32 over 5 years.
Is JBTM a good diversifier for DVA?
A fair diversifier. At 0.39, enough of each asset's movement is its own that the pair has smoothed outcomes historically.
What does a correlation of 0.39 mean?
A reading of 0.39 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/dva-vs-jbtm.json
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[](https://www.pairbook.io/pair/dva-vs-jbtm/)
The core API is free. Terms and every endpoint in the API documentation.
Related comparisons
Hubs: DVA correlations · JBTM correlations
