FONR's Sortino Ratio of 3.06 indicates that for each unit of downside volatility, it generates 3.06 units of excess return. The ratio is calculated using historical daily returns over the past 12 months (as of Jun 24, 2026).
Unlike other measures, Sortino only focuses on downside volatility (losses), making it particularly useful for investors more concerned about protecting against drawdowns than overall price swings.
FONR Sortino Ratio Market Positioning
The chart shows FONR's Sortino Ratio relative to all stocks on our platform, with color zones indicating percentile rankings. Higher ratios indicate better downside-adjusted returns.
- Red zone (bottom 25%): -0.31 or lower
- Yellow zone (middle 50%): -0.31 to 1.90
- Green zone (top 25%): 1.90 or higher
- Top 1%: 6.30+
- Median: 0.73 — half of all investments score higher
How it compares to other similar stocks
The table compares FONAR Corporation's Sortino Ratio with other stocks in the Medical Devices industry across multiple time periods, showing how FONR's risk-adjusted performance compares to industry peers.
Data shows 1-, 5-, and 10-year periods, plus each stock's all-time average, as of Jun 24, 2026.
| Symbol | Name | 1Y Sortino Ratio | 5Y Sortino Ratio | 10Y Sortino Ratio | All Time Sortino Ratio |
|---|---|---|---|---|---|
| SONX | Sonendo, Inc. | 9.25 | |||
| AXGN | AxoGen, Inc. | 5.97 | |||
| MOVE | Movano Inc. | 4.35 | |||
| TCMD | Tactile Systems Technology, Inc. | 4.21 | |||
| AVNS | Avanos Medical, Inc. | 3.79 | |||
| BWAY | BrainsWay Ltd. | 3.58 | |||
| BFLY | Butterfly Network, Inc. | 3.35 | |||
| FOCL | FocalTherics | 3.11 | |||
| LIVN | LivaNova PLC | 3.02 | |||
| ESTA | Establishment Labs Holdings Inc | 2.95 | |||
| FONR | FONAR Corporation | — |
Historical Sortino Ratio
The chart shows FONR's rolling Sortino ratio over time compared to your chosen benchmark. Rising trends indicate improving returns relative to downside risk, while declining trends may signal deteriorating risk-adjusted performance or increased volatility during market stress. Use multiple timeframes to distinguish short-term fluctuations from long-term patterns.
Identify market cycles by observing when FONR consistently outperforms (line above benchmark), underperforms (below benchmark), or aligns with the benchmark.
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