MXL vs SONM: Correlation
How closely do MaxLinear, Inc (MXL) and DNA X, Inc. (SONM) trade together? Their weekly returns over three years give a correlation of 0.26, which is weak.
Data as of 2026-08-27 · refreshed every trading day · weekly returns · methodology
How correlated are MXL and SONM?
On 3 years of weekly data the MXL/SONM correlation comes out at 0.26, weak. The past 12 months show a tighter link (0.43) than the 3-year average (0.26). The 5-year figure is 0.22, and annualized covariance runs at 2867.6 %².
By 3-year correlation, SONM places #15 of the 24 assets tracked against MXL. The last year tells two different stories: MXL led by 348.1 percentage points, +278.9% for MXL against -69.2% for SONM.
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.
MXL vs SONM: side by side
| MXL (MaxLinear, Inc) | SONM (DNA X, Inc.) | |
|---|---|---|
| 1-year return | +278.9% | -69.2% |
| 5-year return | +19.8% | -99.6% |
| Volatility (ann.) | 105.2% | 106.4% |
| Beta vs S&P 500 | 2.50 | 0.06 |
| Max drawdown (3Y) | -63.9% | -98.5% |
| Market cap | $5.8B | – |
| P/E (trailing) | – | – |
| Dividend yield | 0.00% | 0.00% |
| Sector / category | US Listed | US Listed |
Year-by-year returns
| Year | MXL | SONM |
|---|---|---|
| 2022 | -55.0% | -53.9% |
| 2023 | -30.0% | +72.9% |
| 2024 | -16.8% | -57.1% |
| 2025 | -11.9% | -94.5% |
| 2026 | +263.9% | +3.8% |
Calendar-year price returns; the current year is year-to-date as of the data date above.
Are MXL and SONM good diversifiers for each other?
Yes, to a useful degree: a correlation of 0.26 leaves real independence between the two, which historically damped combined volatility.
FAQ
What is the correlation between MXL and SONM?
Using weekly returns as of 2026-08-27: 0.26 over 3 years, with 0.43 over the last year and 0.22 over 5 years.
Is SONM a good diversifier for MXL?
Yes, to a useful degree: a correlation of 0.26 leaves real independence between the two, which historically damped combined volatility.
What does a correlation of 0.26 mean?
On the −1 to +1 scale, 0.26 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
$ curl https://www.pairbook.io/api/v1/pairs/mxl-vs-sonm.json
Drop this badge in a README or notebook; it updates with the data:
[](https://www.pairbook.io/pair/mxl-vs-sonm/)
No key needed, free to use. Full endpoint list in the API documentation.
Related comparisons
Hubs: MXL correlations · SONM correlations
