MQ vs ONT: Correlation
Marqeta, Inc. (MQ) and Onterris, Inc. (ONT) show a moderate relationship: their 3-year correlation of weekly returns is 0.39.
Data as of 2026-08-27 · refreshed every trading day · weekly returns · methodology
How correlated are MQ and ONT?
On 3 years of weekly data the MQ/ONT correlation comes out at 0.39, moderate. The past 12 months show a weaker link (0.28) than the 3-year average (0.39). The 5-year figure is 0.42, and annualized covariance runs at 1079.7 %².
By 3-year correlation, ONT places #4 of the 18 assets tracked against MQ. Over the last 12 months MQ came out ahead by 10.2 percentage points (-35.4% against -45.6%).
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.
MQ vs ONT: side by side
| MQ (Marqeta, Inc.) | ONT (Onterris, Inc.) | |
|---|---|---|
| 1-year return | -35.4% | -45.6% |
| 5-year return | -85.0% | -66.3% |
| Volatility (ann.) | 43.5% | 63.4% |
| Beta vs S&P 500 | 0.49 | 1.17 |
| Max drawdown (3Y) | -53.3% | -78.4% |
| Market cap | $1.7B | $0.6B |
| P/E (trailing) | 180.1 | – |
| Dividend yield | 0.00% | 0.00% |
| Sector / category | US Listed | US Listed |
Year-by-year returns
| Year | MQ | ONT |
|---|---|---|
| 2022 | -64.4% | -37.0% |
| 2023 | +14.2% | -27.6% |
| 2024 | -45.7% | -42.3% |
| 2025 | +25.3% | +33.9% |
| 2026 | -14.7% | -34.2% |
Calendar-year price returns; the current year is year-to-date as of the data date above.
Are MQ and ONT good diversifiers for each other?
Reasonably. At 0.39, MQ and ONT keep a meaningful degree of independence, and combining them has historically reduced portfolio volatility.
FAQ
What is the correlation between MQ and ONT?
The MQ/ONT correlation stands at 0.39 on a 3-year window (1 year: 0.28, 5 years: 0.42), computed from weekly returns as of 2026-08-27.
Is ONT a good diversifier for MQ?
Reasonably. At 0.39, MQ and ONT keep a meaningful degree of independence, and combining them has historically reduced portfolio volatility.
What does a correlation of 0.39 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/mq-vs-ont.json
Markdown for the live badge, attribution link included:
[](https://www.pairbook.io/pair/mq-vs-ont/)
No key needed, free to use. Full endpoint list in the API documentation.
Related comparisons
Hubs: MQ correlations · ONT correlations
