CXM vs SPT: Correlation
Measured on weekly returns over the past three years, Sprinklr, Inc. (CXM) and Sprout Social, Inc (SPT) carry a correlation of 0.49, a moderate link.
Data as of 2026-08-27 · refreshed every trading day · weekly returns · methodology
How correlated are CXM and SPT?
Across a 3-year window, the weekly returns of CXM and SPT correlate at 0.49, moderate. The past 12 months show a tighter link (0.69) than the 3-year average (0.49). Stretching to 5 years gives 0.50, with an annualized covariance of 1103.0 %².
Among the 13 assets we track against CXM, SPT ranks #5 by 3-year correlation. Correlation aside, the last 12 months split them widely, with CXM ahead by 21.3 points (-8.3% versus -29.6%).
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.
CXM vs SPT: side by side
| CXM (Sprinklr, Inc.) | SPT (Sprout Social, Inc) | |
|---|---|---|
| 1-year return | -8.3% | -29.6% |
| 5-year return | -49.6% | -91.0% |
| Volatility (ann.) | 40.4% | 55.5% |
| Beta vs S&P 500 | 0.91 | 1.43 |
| Max drawdown (3Y) | -71.1% | -92.5% |
| Market cap | – | $0.7B |
| P/E (trailing) | 61.1 | – |
| Dividend yield | 0.00% | 0.00% |
| Sector / category | US Listed | US Listed |
Year-by-year returns
| Year | CXM | SPT |
|---|---|---|
| 2022 | -48.5% | -37.7% |
| 2023 | +47.4% | +8.8% |
| 2024 | -29.8% | -50.0% |
| 2025 | -7.9% | -63.3% |
| 2026 | +2.1% | -2.0% |
Calendar-year price returns; the current year is year-to-date as of the data date above.
Are CXM and SPT good diversifiers for each other?
A fair diversifier. At 0.49, enough of each asset's movement is its own that the pair has smoothed outcomes historically.
FAQ
What is the correlation between CXM and SPT?
The CXM/SPT correlation stands at 0.49 on a 3-year window (1 year: 0.69, 5 years: 0.50), computed from weekly returns as of 2026-08-27.
Is SPT a good diversifier for CXM?
A fair diversifier. At 0.49, enough of each asset's movement is its own that the pair has smoothed outcomes historically.
What does a correlation of 0.49 mean?
Correlation ranges from −1 to +1. Values near +1 mean two assets move together, near 0 that they move independently, and negative values that they tend to move in opposite directions. It measures co-movement, not performance.
Use this data
$ curl https://www.pairbook.io/api/v1/pairs/cxm-vs-spt.json
Embed this badge (it refreshes with the data), with attribution:
[](https://www.pairbook.io/pair/cxm-vs-spt/)
No key needed, free to use. Full endpoint list in the API documentation.
Related comparisons
Hubs: CXM correlations · SPT correlations
