GD vs J: Correlation
Measured on weekly returns over the past three years, General Dynamics (GD) and Jacobs Solutions (J) carry a correlation of 0.40, a moderate link.
Data as of 2026-08-27 · refreshed every trading day · weekly returns · methodology
How correlated are GD and J?
On 3 years of weekly data the GD/J correlation comes out at 0.40, moderate. Recent behaviour matches the longer record: 0.41 over 1 year against 0.40 over 3. The 5-year figure is 0.43, and annualized covariance runs at 219.2 %².
Within GD's tracked universe of 30 assets, J comes in at #16 by 3-year correlation. The last year tells two different stories: GD led by 16.2 percentage points, +18.8% for GD against +2.6% for J. On a rolling one-year basis the correlation drifted between 0.15 and 0.60, a moderate band.
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.
GD vs J: side by side
| GD (General Dynamics) | J (Jacobs Solutions) | |
|---|---|---|
| 1-year return | +18.8% | +2.6% |
| 5-year return | +111.9% | +40.5% |
| Volatility (ann.) | 21.1% | 25.7% |
| Beta vs S&P 500 | 0.52 | 0.77 |
| Max drawdown (3Y) | -22.5% | -34.4% |
| Market cap | $102.8B | $17.6B |
| P/E (trailing) | 23.3 | 49.9 |
| Dividend yield | 1.62% | 0.90% |
| Sector / category | Industrials | Industrials |
Year-by-year returns
| Year | GD | J |
|---|---|---|
| 2022 | +21.7% | -13.1% |
| 2023 | +7.1% | +9.0% |
| 2024 | +3.5% | +24.2% |
| 2025 | +30.4% | +1.1% |
| 2026 | +14.4% | +14.6% |
Calendar-year price returns; the current year is year-to-date as of the data date above.
Are GD and J good diversifiers for each other?
Reasonably. At 0.40, GD and J keep a meaningful degree of independence, and combining them has historically reduced portfolio volatility.
FAQ
What is the correlation between GD and J?
The GD/J correlation stands at 0.40 on a 3-year window (1 year: 0.41, 5 years: 0.43), computed from weekly returns as of 2026-08-27.
Is J a good diversifier for GD?
Reasonably. At 0.40, GD and J keep a meaningful degree of independence, and combining them has historically reduced portfolio volatility.
What does a correlation of 0.40 mean?
On the −1 to +1 scale, 0.40 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/gd-vs-j.json
Markdown for the live badge, attribution link included:
[](https://www.pairbook.io/pair/gd-vs-j/)
The core API is free. Terms and every endpoint in the API documentation.
Related comparisons
Hubs: GD correlations · J correlations
