GD vs TXT: Correlation
Measured on weekly returns over the past three years, General Dynamics (GD) and Textron (TXT) carry a correlation of 0.56, a moderate link.
Data as of 2026-08-27 · refreshed every trading day · weekly returns · methodology
How correlated are GD and TXT?
On 3 years of weekly data the GD/TXT correlation comes out at 0.56, moderate. The relationship has been stable: the 1-year correlation (0.52) sits close to the 3-year figure. The 5-year figure is 0.57, and annualized covariance runs at 302.6 %².
Within GD's tracked universe of 30 assets, TXT comes in at #4 by 3-year correlation. The last year tells two different stories: GD led by 18.1 percentage points, +18.8% for GD against +0.7% for TXT. The rolling one-year correlation moved between 0.30 and 0.70 over the past three years, a moderate range.
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 TXT: side by side
| GD (General Dynamics) | TXT (Textron) | |
|---|---|---|
| 1-year return | +18.8% | +0.7% |
| 5-year return | +111.9% | +15.1% |
| Volatility (ann.) | 21.1% | 25.4% |
| Beta vs S&P 500 | 0.52 | 0.89 |
| Max drawdown (3Y) | -22.5% | -37.3% |
| Market cap | $102.8B | $14.2B |
| P/E (trailing) | 23.3 | 15.7 |
| Dividend yield | 1.62% | 0.10% |
| Sector / category | Industrials | Industrials |
Year-by-year returns
| Year | GD | TXT |
|---|---|---|
| 2022 | +21.7% | -8.2% |
| 2023 | +7.1% | +13.7% |
| 2024 | +3.5% | -4.8% |
| 2025 | +30.4% | +14.1% |
| 2026 | +14.4% | -5.5% |
Calendar-year price returns; the current year is year-to-date as of the data date above.
Are GD and TXT good diversifiers for each other?
Somewhat, no more. With 0.56 correlation, most large moves hit both names, and the diversification benefit stays modest.
FAQ
What is the correlation between GD and TXT?
As of 2026-08-27, the correlation of weekly returns between GD and TXT is 0.56 over 3 years, 0.52 over 1 year and 0.57 over 5 years.
Is TXT a good diversifier for GD?
Somewhat, no more. With 0.56 correlation, most large moves hit both names, and the diversification benefit stays modest.
What does a correlation of 0.56 mean?
On the −1 to +1 scale, 0.56 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-txt.json
Drop this badge in a README or notebook; it updates with the data:
[](https://www.pairbook.io/pair/gd-vs-txt/)
The core API is free. Terms and every endpoint in the API documentation.
Related comparisons
Hubs: GD correlations · TXT correlations
