ACM vs J: Correlation
AECOM (ACM) and Jacobs Solutions (J) show a strong relationship: their 3-year correlation of weekly returns is 0.62.
Data as of 2026-08-27 · refreshed every trading day · weekly returns · methodology
How correlated are ACM and J?
On 3 years of weekly data the ACM/J correlation comes out at 0.62, strong. Little has changed lately, as the 1-year reading of 0.72 lands near the 3-year figure. The 5-year figure is 0.58, and annualized covariance runs at 465.1 %².
In ACM's tracked universe of 16 assets, J sits right near the top at #1. The last year tells two different stories: J led by 49.2 percentage points, -46.6% for ACM against +2.6% for J.
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.
ACM vs J: side by side
| ACM (AECOM) | J (Jacobs Solutions) | |
|---|---|---|
| 1-year return | -46.6% | +2.6% |
| 5-year return | +5.2% | +40.5% |
| Volatility (ann.) | 29.1% | 25.7% |
| Beta vs S&P 500 | 0.79 | 0.77 |
| Max drawdown (3Y) | -54.1% | -34.4% |
| Market cap | $8.5B | $17.6B |
| P/E (trailing) | 22.9 | 49.9 |
| Dividend yield | 1.83% | 0.90% |
| Sector / category | US Listed | Industrials |
Year-by-year returns
| Year | ACM | J |
|---|---|---|
| 2022 | +10.7% | -13.1% |
| 2023 | +9.8% | +9.0% |
| 2024 | +16.7% | +24.2% |
| 2025 | -9.9% | +1.1% |
| 2026 | -29.7% | +14.6% |
Calendar-year price returns; the current year is year-to-date as of the data date above.
Are ACM and J good diversifiers for each other?
Somewhat, no more. With 0.62 correlation, most large moves hit both names, and the diversification benefit stays modest.
FAQ
What is the correlation between ACM and J?
As of 2026-08-27, the correlation of weekly returns between ACM and J is 0.62 over 3 years, 0.72 over 1 year and 0.58 over 5 years.
Is J a good diversifier for ACM?
Somewhat, no more. With 0.62 correlation, most large moves hit both names, and the diversification benefit stays modest.
What does a correlation of 0.62 mean?
On the −1 to +1 scale, 0.62 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/acm-vs-j.json
Markdown for the live badge, attribution link included:
[](https://www.pairbook.io/pair/acm-vs-j/)
The core API is free. Terms and every endpoint in the API documentation.
Related comparisons
Hubs: ACM correlations · J correlations
