CVNA vs WGS: Correlation
Carvana (CVNA) and GeneDx Holdings Corp. (WGS) show a moderate relationship: their 3-year correlation of weekly returns is 0.34.
Data as of 2026-08-27 · refreshed every trading day · weekly returns · methodology
How correlated are CVNA and WGS?
Across a 3-year window, the weekly returns of CVNA and WGS correlate at 0.34, moderate. Lately the two have drifted apart, with the 1-year correlation at 0.11 versus 0.34 over 3 years. Stretching to 5 years gives 0.45, with an annualized covariance of 2811.7 %².
Among the 35 assets we track against CVNA, WGS ranks #25 by 3-year correlation. The last year tells two different stories: CVNA led by 31.7 percentage points, +0.8% for CVNA against -30.9% for WGS. Risk is not evenly split, since WGS carries 1.5 times the volatility of the other side.
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.
CVNA vs WGS: side by side
| CVNA (Carvana) | WGS (GeneDx Holdings Corp.) | |
|---|---|---|
| 1-year return | +0.8% | -30.9% |
| 5-year return | +9.7% | -69.2% |
| Volatility (ann.) | 73.7% | 113.8% |
| Beta vs S&P 500 | 2.66 | 1.13 |
| Max drawdown (3Y) | -53.5% | -79.4% |
| Market cap | $82.1B | $2.7B |
| P/E (trailing) | 39.0 | – |
| Dividend yield | 0.00% | 0.00% |
| Sector / category | Consumer Discretionary | US Listed |
Year-by-year returns
| Year | CVNA | WGS |
|---|---|---|
| 2022 | -98.0% | -94.1% |
| 2023 | +1016.9% | -68.4% |
| 2024 | +284.1% | +2694.9% |
| 2025 | +107.5% | +69.2% |
| 2026 | -12.2% | -31.4% |
Calendar-year price returns; the current year is year-to-date as of the data date above.
Are CVNA and WGS good diversifiers for each other?
Yes, to a useful degree: a correlation of 0.34 leaves real independence between the two, which historically damped combined volatility.
FAQ
What is the correlation between CVNA and WGS?
Using weekly returns as of 2026-08-27: 0.34 over 3 years, with 0.11 over the last year and 0.45 over 5 years.
Is WGS a good diversifier for CVNA?
Yes, to a useful degree: a correlation of 0.34 leaves real independence between the two, which historically damped combined volatility.
What does a correlation of 0.34 mean?
On the −1 to +1 scale, 0.34 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/cvna-vs-wgs.json
Drop this badge in a README or notebook; it updates with the data:
[](https://www.pairbook.io/pair/cvna-vs-wgs/)
The core API is free. Terms and every endpoint in the API documentation.
Related comparisons
Hubs: CVNA correlations · WGS correlations
