J vs TXT: Correlation
How closely do Jacobs Solutions (J) and Textron (TXT) trade together? Their weekly returns over three years give a correlation of 0.41, which is moderate.
Data as of 2026-08-27 · refreshed every trading day · weekly returns · methodology
How correlated are J and TXT?
Across a 3-year window, the weekly returns of J and TXT correlate at 0.41, moderate. The relationship has been stable: the 1-year correlation (0.32) sits close to the 3-year figure. Stretching to 5 years gives 0.49, with an annualized covariance of 268.0 %².
Within J's tracked universe of 34 assets, TXT comes in at #21 by 3-year correlation. Their 12-month results are close: +2.6% for J against +0.7% for TXT. Do not treat this figure as fixed: across three years the rolling one-year correlation ranged all the way from 0.15 to 0.71.
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.
J vs TXT: side by side
| J (Jacobs Solutions) | TXT (Textron) | |
|---|---|---|
| 1-year return | +2.6% | +0.7% |
| 5-year return | +40.5% | +15.1% |
| Volatility (ann.) | 25.7% | 25.4% |
| Beta vs S&P 500 | 0.77 | 0.89 |
| Max drawdown (3Y) | -34.4% | -37.3% |
| Market cap | $17.6B | $14.2B |
| P/E (trailing) | 49.9 | 15.7 |
| Dividend yield | 0.90% | 0.10% |
| Sector / category | Industrials | Industrials |
Year-by-year returns
| Year | J | TXT |
|---|---|---|
| 2022 | -13.1% | -8.2% |
| 2023 | +9.0% | +13.7% |
| 2024 | +24.2% | -4.8% |
| 2025 | +1.1% | +14.1% |
| 2026 | +14.6% | -5.5% |
Calendar-year price returns; the current year is year-to-date as of the data date above.
Are J and TXT good diversifiers for each other?
Reasonably. At 0.41, J and TXT keep a meaningful degree of independence, and combining them has historically reduced portfolio volatility.
FAQ
What is the correlation between J and TXT?
As of 2026-08-27, the correlation of weekly returns between J and TXT is 0.41 over 3 years, 0.32 over 1 year and 0.49 over 5 years.
Is TXT a good diversifier for J?
Reasonably. At 0.41, J and TXT keep a meaningful degree of independence, and combining them has historically reduced portfolio volatility.
What does a correlation of 0.41 mean?
A reading of 0.41 sits on a scale from −1 (opposite moves) through 0 (unrelated) to +1 (identical moves). Correlation captures direction, not magnitude or performance.
Use this data
$ curl https://www.pairbook.io/api/v1/pairs/j-vs-txt.json
Drop this badge in a README or notebook; it updates with the data:
[](https://www.pairbook.io/pair/j-vs-txt/)
The core API is free. Terms and every endpoint in the API documentation.
Related comparisons
Hubs: J correlations · TXT correlations
