DSGX vs SFM: Correlation
Measured on weekly returns over the past three years, The Descartes Systems Group Inc. (DSGX) and Sprouts Farmers Market, Inc. (SFM) carry a correlation of 0.36, a moderate link.
Data as of 2026-08-27 · refreshed every trading day · weekly returns · methodology
How correlated are DSGX and SFM?
Over the past 3 years, DSGX and SFM moved with a correlation of 0.36, which is moderate. Little has changed lately, as the 1-year reading of 0.35 lands near the 3-year figure. Over 5 years the correlation is 0.33, and the annualized covariance of weekly returns is 441.2 %².
Out of 26 assets tracked against DSGX, SFM lands near the bottom at #22. Correlation aside, the last 12 months split them widely, with DSGX ahead by 24.9 points (-19.1% versus -44.0%).
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.
DSGX vs SFM: side by side
| DSGX (The Descartes Systems Group Inc.) | SFM (Sprouts Farmers Market, Inc.) | |
|---|---|---|
| 1-year return | -19.1% | -44.0% |
| 5-year return | +3.6% | +228.8% |
| Volatility (ann.) | 31.5% | 39.2% |
| Beta vs S&P 500 | 0.86 | 0.38 |
| Max drawdown (3Y) | -48.7% | -63.5% |
| Market cap | $6.9B | $7.6B |
| P/E (trailing) | 38.6 | 15.5 |
| Dividend yield | 0.00% | 0.00% |
| Sector / category | US Listed | US Listed |
Year-by-year returns
| Year | DSGX | SFM |
|---|---|---|
| 2022 | -15.8% | +9.1% |
| 2023 | +20.7% | +48.6% |
| 2024 | +35.1% | +164.1% |
| 2025 | -22.8% | -37.3% |
| 2026 | -8.0% | +1.7% |
Calendar-year price returns; the current year is year-to-date as of the data date above.
Are DSGX and SFM good diversifiers for each other?
Yes, to a useful degree: a correlation of 0.36 leaves real independence between the two, which historically damped combined volatility.
FAQ
What is the correlation between DSGX and SFM?
As of 2026-08-27, the correlation of weekly returns between DSGX and SFM is 0.36 over 3 years, 0.35 over 1 year and 0.33 over 5 years.
Is SFM a good diversifier for DSGX?
Yes, to a useful degree: a correlation of 0.36 leaves real independence between the two, which historically damped combined volatility.
What does a correlation of 0.36 mean?
On the −1 to +1 scale, 0.36 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/dsgx-vs-sfm.json
Markdown for the live badge, attribution link included:
[](https://www.pairbook.io/pair/dsgx-vs-sfm/)
The core API is free. Terms and every endpoint in the API documentation.
Related comparisons
Hubs: DSGX correlations · SFM correlations
