EXFY vs XGN: Correlation
Expensify, Inc. (EXFY) and Exagen Inc. (XGN) show a moderate relationship: their 3-year correlation of weekly returns is 0.43.
Data as of 2026-08-27 · refreshed every trading day · weekly returns · methodology
How correlated are EXFY and XGN?
On 3 years of weekly data the EXFY/XGN correlation comes out at 0.43, moderate. The link has tightened recently: the 1-year correlation (0.55) runs above the 3-year figure (0.43). The 5-year figure is 0.35, and annualized covariance runs at 3203.9 %².
Among the 12 assets we track against EXFY, XGN ranks #6 by 3-year correlation. Their recent paths diverged sharply: over the last 12 months EXFY outperformed by 54.6 percentage points (+33.3% for EXFY against -21.3% for XGN).
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.
EXFY vs XGN: side by side
| EXFY (Expensify, Inc.) | XGN (Exagen Inc.) | |
|---|---|---|
| 1-year return | +33.3% | -21.3% |
| 5-year return | -93.8% | -47.1% |
| Volatility (ann.) | 83.7% | 88.9% |
| Beta vs S&P 500 | 2.04 | 1.41 |
| Max drawdown (3Y) | -83.4% | -77.8% |
| Market cap | $0.2B | $0.2B |
| P/E (trailing) | – | – |
| Dividend yield | 0.00% | 0.00% |
| Sector / category | US Listed | US Listed |
Year-by-year returns
| Year | EXFY | XGN |
|---|---|---|
| 2022 | -79.9% | -79.4% |
| 2023 | -72.0% | -17.1% |
| 2024 | +35.6% | +106.0% |
| 2025 | -54.9% | +48.3% |
| 2026 | +69.5% | +23.7% |
Calendar-year price returns; the current year is year-to-date as of the data date above.
Are EXFY and XGN good diversifiers for each other?
Yes, to a useful degree: a correlation of 0.43 leaves real independence between the two, which historically damped combined volatility.
FAQ
What is the correlation between EXFY and XGN?
Using weekly returns as of 2026-08-27: 0.43 over 3 years, with 0.55 over the last year and 0.35 over 5 years.
Is XGN a good diversifier for EXFY?
Yes, to a useful degree: a correlation of 0.43 leaves real independence between the two, which historically damped combined volatility.
What does a correlation of 0.43 mean?
A reading of 0.43 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/exfy-vs-xgn.json
Drop this badge in a README or notebook; it updates with the data:
[](https://www.pairbook.io/pair/exfy-vs-xgn/)
No key needed, free to use. Full endpoint list in the API documentation.
Related comparisons
Hubs: EXFY correlations · XGN correlations
