BMI vs XYL: Correlation
Badger Meter, Inc. (BMI) and Xylem Inc. (XYL) show a moderate relationship: their 3-year correlation of weekly returns is 0.47.
Data as of 2026-08-27 · refreshed every trading day · weekly returns · methodology
How correlated are BMI and XYL?
Across a 3-year window, the weekly returns of BMI and XYL correlate at 0.47, moderate. Recent behaviour matches the longer record: 0.40 over 1 year against 0.47 over 3. Stretching to 5 years gives 0.51, with an annualized covariance of 400.1 %².
XYL is one of the assets that tracks BMI most closely: it ranks #2 out of the 15 assets we track against BMI. The trailing year gives XYL the advantage: -26.1% versus -21.1%, a 5.0-point spread. One caveat on sizing: BMI is 1.5 times as volatile as the other leg, so an equal-dollar split is far from equal-risk.
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.
BMI vs XYL: side by side
| BMI (Badger Meter, Inc.) | XYL (Xylem Inc.) | |
|---|---|---|
| 1-year return | -26.1% | -21.1% |
| 5-year return | +33.9% | -12.5% |
| Volatility (ann.) | 35.9% | 23.9% |
| Beta vs S&P 500 | 0.62 | 0.96 |
| Max drawdown (3Y) | -55.1% | -30.0% |
| Market cap | $4.0B | $26.3B |
| P/E (trailing) | 32.1 | 26.8 |
| Dividend yield | 1.17% | 1.47% |
| Sector / category | US Listed | Industrials |
Year-by-year returns
| Year | BMI | XYL |
|---|---|---|
| 2022 | +3.2% | -6.6% |
| 2023 | +42.6% | +4.8% |
| 2024 | +38.3% | +2.6% |
| 2025 | -17.2% | +18.8% |
| 2026 | -20.3% | -16.7% |
Calendar-year price returns; the current year is year-to-date as of the data date above.
Are BMI and XYL good diversifiers for each other?
Reasonably. At 0.47, BMI and XYL keep a meaningful degree of independence, and combining them has historically reduced portfolio volatility.
FAQ
What is the correlation between BMI and XYL?
Using weekly returns as of 2026-08-27: 0.47 over 3 years, with 0.40 over the last year and 0.51 over 5 years.
Is XYL a good diversifier for BMI?
Reasonably. At 0.47, BMI and XYL keep a meaningful degree of independence, and combining them has historically reduced portfolio volatility.
What does a correlation of 0.47 mean?
A reading of 0.47 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/bmi-vs-xyl.json
Markdown for the live badge, attribution link included:
[](https://www.pairbook.io/pair/bmi-vs-xyl/)
The core API is free. Terms and every endpoint in the API documentation.
Related comparisons
Hubs: BMI correlations · XYL correlations
