OSI Systems Stock Performance

OSIS Stock  USD 284.57  -0.70  -0.25%   
OSI Systems has a performance score of 3 on a scale of 0 to 100. The company holds a market beta of 1.49, which means elevated sensitivity to broad market movements. OSI Systems tends to amplify market moves - gaining more in rallies but giving back more during declines. OSI Systems currently holds a risk of 2.78%.
Risk-Adjusted Performance
Mild
 
Weak
 
Strong
On a recent 90-day basis, OSI Systems sits below 3% of comparable global equities and portfolios in risk-adjusted performance. Current market capitalization is about 4.84 Billion. In spite of comparatively unsteady forward indicators, OSI Systems may actually be approaching a critical reversion point that can send shares even higher in April 2026. Learn More

Actual Historical Performance (%)

 One Day Return
-0.25
 Five Day Return
0.56
 Year To Date Return
11.34
 Ten Year Return
351.2
 All Time Return
1.8 K
Begin Period Cash Flow95.4 M
Total Cashflows From Investing Activities-117.9 M

Relative Risk vs. Return Landscape

If you had invested $ 26,982 in OSI Systems on December 26, 2025 and sold it today you would have earned a total of $ 1,475 from holding OSI Systems or generated 5.47% return on investment over 90 days. OSI Systems is currently generating a 0.1251% daily expected return and carries 2.7776% risk (volatility on return distribution) over a 90-day horizon. In different words, 24% of stocks are less volatile than OSI, and 98% of all traded equity instruments are projected to make higher returns than the company over the 90 days investment horizon.
  Expected Return   
       Risk  
This comparison focuses on expected return, realized volatility, and risk efficiency versus the market. It highlights whether the current reward profile compensates for the level of uncertainty assumed. Given the investment horizon of 90 days OSI Systems is expected to generate 3.28 times more return on investment than the market. However, the company is 3.28 times more volatile than its market benchmark. It trades about 0.05 of its potential returns per unit of risk. The Dow Jones Industrial is currently generating roughly -0.09 per unit of risk.

Target Price Odds to finish over Current Price

For OSI Stock, the tendency of price to converge toward a long-term average provides a useful forecasting baseline. Investors have relied on this tendency for decades, though persistent mispricings in some instruments suggest additional risk factors. Certain stocks show persistent deviations from fair value, typically explained by the risk investors bear. Applying mean reversion analysis to OSI Stock helps identify potential entry points when prices are extended.
Current PriceHorizonTarget PriceOdds moving above the current price in 90 days
284.57 90 days 284.57
about 21.54
Based on standard probability analysis, the odds of OSI Systems moving above the current price in 90 days from now are about 21.54 . Over this horizon, the return distribution for this stock has leaned toward above-current outcomes historically. (The curve highlights the price band where the market has recently concentrated expectations for OSI Stock over the next 90 days). A narrower shape indicates the market has recently priced OSI Stock into a more concentrated outcome range.
Given the investment horizon of 90 days the stock has the beta coefficient of 1.49 . This indicates as the benchmark fluctuates upward, the company is expected to outperform it on average. However, if the benchmark returns are projected to be negative, OSI Systems will likely underperform. Additionally, OSI Systems has an alpha of 0.2063, implying that it can generate a 0.2063 percent excess return over Dow Jones Industrial after adjusting for the inherent market risk (beta).
   OSI Systems Price Density   
       Price  

Predictive Modules for OSI Systems

A variety of analytical techniques are available for forecasting OSI Systems and the broader stock market. From technical pattern analysis to statistical models, each method contributes a different perspective on OSI Systems. A systematic comparison of model outputs provides context to form a more balanced perspective on OSI Systems. Refining forecasting methods over time can incrementally improve the quality of decisions made about OSI Systems.
The mean reversion principle applied to OSI Systems' suggests that neither prolonged outperformance nor underperformance is permanent. Identifying the root cause of OSI Systems' price dislocation is essential before acting on a mean reversion signal. The mean reversion tendency in OSI Systems' price is a well-documented phenomenon in academic research. In many cases, OSI Systems' price extremes present statistical patterns that have recurred historically.
Hype
Prediction
LowEstimatedHigh
279.52282.30285.08
Details
Intrinsic
Valuation
LowRealHigh
256.11307.48310.26
Details
Naive
Forecast
LowNextHigh
289.51292.28295.06
Details
Analyst
Consensus
LowTargetHigh
273.00300.00333.00
Details
No single-company analysis of OSI Systems is complete without peer benchmarking. A company that looks attractive in isolation may be significantly outperformed by competitors. Standalone analysis captures OSI Systems's individual story, but peers reveal if it is truly exceptional. Disciplined peer analysis separates conviction-grade insights from superficial OSI Systems observations.

Primary Risk Indicators

The past 10-20 years have brought considerable volatility to the stock market, with OSI Systems experiencing notable price swings. OSI Systems has reflected this volatile environment with periods of significant price swings. Tracking shifts in OSI Systems' fundamental risk indicators is one approach to mitigating this exposure. This risk data equips investors with the information needed to adjust OSI Systems exposure proactively.
α
Alpha over Dow Jones
0.21
β
Beta against Dow Jones1.49
σ
Overall volatility
11.40
Ir
Information ratio 0.07

Investor Alerts and Insights

Alerts and suggestions for OSI Systems give investors a structured way to monitor the stock for material events. OSI Systems alerts cover shifts in fundamentals, technical conditions, and significant market-moving events. Alert frequency for OSI Systems adjusts dynamically based on market volatility and event activity. Regularly reviewing OSI Systems alerts keeps investors aligned with evolving market conditions.
OSI Systems is unlikely to experience financial distress in the next 2 years
Over 95.0% of the company shares are owned by institutional investors
Latest headline from simplywall.st: Vicor Does A Directors 10 b 5-1 Sale Reframe the Momentum-Driven Investment Narrative

Price Density Drivers

Price behavior in OSI Systems reflects the combined effect of buyer and seller positioning dynamics and market sentiment. Reviewing the indicators below provides context for understanding the current drivers of OSI Systems price. Price density analysis for OSI Systems focuses on the forces that drive short-term price movements. Use the table below as a reference for tracking OSI Systems's key price density drivers over time.
Common Stock Shares Outstanding17.2 M
Cash And Short Term Investments106.4 M

OSI Systems Fundamentals Growth

OSI Stock performance is fundamentally tied to OSI Systems' financial health and growth outlook. Investors track revenue and earnings growth, margin stability, and balance sheet health for OSI Stock. The market prices OSI Stock according to OSI Systems' ability to generate revenue and manage debt effectively. Investors evaluating OSI Stock should focus on OSI Systems' earnings quality and revenue momentum.

Performance Metrics & Calculation Methodology

OSI Systems risk-adjusted performance measures whether returns compensate for the volatility borne by holders. Risk-adjusted metrics help distinguish skill-driven returns from volatility-driven outcomes. OSI Systems shows ROE of 18.33%, ROA of 6.02%.

This section for OSI Systems is built from periodic company reporting and market reference feeds, with reporting definitions aligned before display. Where analyst coverage exists, consensus estimates are factored in. Values may update on different source schedules. Return and risk statistics are calculated from historical price series.

This content is curated and reviewed by:

Michael Smolkin - Member of Macroaxis Board of Directors
Last reviewed on March 20th, 2026