GIS vs MKC: Correlation
How closely do General Mills (GIS) and McCormick & Company (MKC) trade together? Their weekly returns over three years give a correlation of 0.53, which is moderate.
Data as of 2026-08-27 · refreshed every trading day · weekly returns · methodology
How correlated are GIS and MKC?
On 3 years of weekly data the GIS/MKC correlation comes out at 0.53, moderate. Recent behaviour matches the longer record: 0.59 over 1 year against 0.53 over 3. The 5-year figure is 0.49, and annualized covariance runs at 287.4 %².
Among the 38 assets we track against GIS, MKC ranks #6 by 3-year correlation. Over the last 12 months GIS came out ahead by 7.5 percentage points (-12.8% against -20.3%). On a rolling one-year basis the correlation drifted between 0.27 and 0.66, 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.
GIS vs MKC: side by side
| GIS (General Mills) | MKC (McCormick & Company) | |
|---|---|---|
| 1-year return | -12.8% | -20.3% |
| 5-year return | -14.6% | -28.5% |
| Volatility (ann.) | 20.6% | 26.5% |
| Beta vs S&P 500 | -0.05 | 0.24 |
| Max drawdown (3Y) | -53.4% | -44.3% |
| Market cap | $21.6B | $14.7B |
| P/E (trailing) | – | 9.2 |
| Dividend yield | 6.09% | 3.38% |
| Sector / category | Consumer Staples | Consumer Staples |
Year-by-year returns
| Year | GIS | MKC |
|---|---|---|
| 2022 | +28.1% | -12.7% |
| 2023 | -20.0% | -15.7% |
| 2024 | +1.4% | +14.0% |
| 2025 | -23.7% | -8.3% |
| 2026 | -8.8% | -18.5% |
Calendar-year price returns; the current year is year-to-date as of the data date above.
Are GIS and MKC good diversifiers for each other?
Somewhat, no more. With 0.53 correlation, most large moves hit both names, and the diversification benefit stays modest.
FAQ
What is the correlation between GIS and MKC?
The GIS/MKC correlation stands at 0.53 on a 3-year window (1 year: 0.59, 5 years: 0.49), computed from weekly returns as of 2026-08-27.
Is MKC a good diversifier for GIS?
Somewhat, no more. With 0.53 correlation, most large moves hit both names, and the diversification benefit stays modest.
What does a correlation of 0.53 mean?
A reading of 0.53 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/gis-vs-mkc.json
Drop this badge in a README or notebook; it updates with the data:
[](https://www.pairbook.io/pair/gis-vs-mkc/)
The core API is free. Terms and every endpoint in the API documentation.
Related comparisons
Hubs: GIS correlations · MKC correlations
