DLB vs GRMN: Correlation
Dolby Laboratories (DLB) and Garmin (GRMN) show a moderate relationship: their 3-year correlation of weekly returns is 0.48.
Data as of 2026-08-27 · refreshed every trading day · weekly returns · methodology
How correlated are DLB and GRMN?
On 3 years of weekly data the DLB/GRMN correlation comes out at 0.48, moderate. Little has changed lately, as the 1-year reading of 0.48 lands near the 3-year figure. The 5-year figure is 0.48, and annualized covariance runs at 433.6 %².
Among the 12 assets we track against DLB, GRMN ranks #4 by 3-year correlation. Correlation aside, the last 12 months split them widely, with GRMN ahead by 37.4 points (-12.3% versus +25.1%).
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.
DLB vs GRMN: side by side
| DLB (Dolby Laboratories) | GRMN (Garmin) | |
|---|---|---|
| 1-year return | -12.3% | +25.1% |
| 5-year return | -31.8% | +80.9% |
| Volatility (ann.) | 26.0% | 34.7% |
| Beta vs S&P 500 | 0.78 | 1.06 |
| Max drawdown (3Y) | -43.2% | -28.0% |
| Market cap | $5.8B | $55.9B |
| P/E (trailing) | 27.6 | 29.9 |
| Dividend yield | 2.22% | 1.45% |
| Sector / category | US Listed | Consumer Discretionary |
Year-by-year returns
| Year | DLB | GRMN |
|---|---|---|
| 2022 | -24.9% | -30.2% |
| 2023 | +23.8% | +43.1% |
| 2024 | -7.9% | +63.3% |
| 2025 | -16.3% | -0.1% |
| 2026 | -1.1% | +44.1% |
Calendar-year price returns; the current year is year-to-date as of the data date above.
Are DLB and GRMN good diversifiers for each other?
Yes, to a useful degree: a correlation of 0.48 leaves real independence between the two, which historically damped combined volatility.
FAQ
What is the correlation between DLB and GRMN?
The DLB/GRMN correlation stands at 0.48 on a 3-year window (1 year: 0.48, 5 years: 0.48), computed from weekly returns as of 2026-08-27.
Is GRMN a good diversifier for DLB?
Yes, to a useful degree: a correlation of 0.48 leaves real independence between the two, which historically damped combined 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/dlb-vs-grmn.json
Drop this badge in a README or notebook; it updates with the data:
[](https://www.pairbook.io/pair/dlb-vs-grmn/)
No key needed, free to use. Full endpoint list in the API documentation.
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Hubs: DLB correlations · GRMN correlations