Seamless Distribution (Sweden) Performance
| SDS Stock | SEK 7.45 0.45 6.43% |
The firm maintains a market beta of 1.44, which implies a somewhat significant risk relative to the market. Market upswings tend to lift Seamless Distribution more than average, but downturns carry a proportionally larger impact on returns. At this point, Seamless Distribution has a negative expected return of -0.0949%. Please make sure to verify Seamless Distribution's downside variance, kurtosis, and the relationship between the treynor ratio and day median price, to decide if Seamless Distribution's performance from the past will be repeated at some point in the near future.
Risk-Adjusted Performance
Weak
Weak | Strong |
For the recent 90-day horizon, Seamless Distribution Systems failed to convert risk into positive risk-adjusted performance. The business is commonly classified in the Technology sector and the Software - Application industry. In spite of comparatively stable basic indicators, Seamless Distribution is not utilizing all of its potential. The newest price uproar may contribute to short-horizon losses for private investors. Learn More
| Begin Period Cash Flow | 11.8 M | |
| Total Cashflows From Investing Activities | -159.4 M |
Seamless |
Relative Risk vs. Return Landscape
If you had invested kr 990.00 in Seamless Distribution Systems on December 19, 2025 and sold it today you would have lost kr 245.00 from holding Seamless Distribution Systems or given up 24.75% of portfolio value over 90 days. Seamless Distribution Systems is producing return of less than zero assuming 9.1704% volatility of returns over the 90 days investment horizon. Simply put, 82% of all stocks have less volatile historical return distribution than Seamless Distribution, and 99% of all equity instruments are likely to generate higher returns than the company over the next 90 trading days. Expected Return |
| Risk |
Target Price Odds to finish over Current Price
For Seamless Stock, the observed tendency of price to return to a central value is a key input to forecasting models. This mean reversion pattern, however, does not apply uniformly - some stocks remain mispriced for extended periods, suggesting that embedded risk premiums affect the speed of correction.
| Current Price | Horizon | Target Price | Odds moving above the current price in 90 days |
| 7.45 | 90 days | 7.45 | about 83.6 |
According to a normal distribution model, the odds of Seamless Distribution moving above the current price in 90 days from now are about 83.6 (The density curve for Seamless Distribution Systems shows where Seamless Stock price is most likely to settle within 90 days).
Seamless Distribution Price Density |
| Price |
Predictive Modules for Seamless Distribution
A wide range of forecasting techniques can be applied to Seamless Distribution and the broader stock market. While market prediction remains inherently uncertain, combining multiple approaches and evaluating their results is one of the most effective ways to improve the quality of investment decisions.Mean reversion in Seamless Distribution is more reliable over longer time horizons. Short-term deviations can persist and even widen before correcting, making position sizing and risk management critical.
Primary Risk Indicators
The stock market's recent history has been defined by volatility, with multiple large corrections and rallies in the last 10-20 years. Seamless Distribution has participated in these swings. Investors holding Seamless Distribution Systems can protect their portfolios by monitoring Seamless Distribution's risk indicators and implementing appropriate hedging strategies.α | Alpha over Dow Jones | 0.14 | |
β | Beta against Dow Jones | 1.44 | |
σ | Overall volatility | 1.37 | |
Ir | Information ratio | 0.01 |
Investor Alerts and Insights
Investors in Seamless Distribution benefit from automated alerts that flag material stock changes as they occur. Seamless Distribution notifications cover technical signals, fundamental shifts, and notable headlines that may impact investment timing.| Seamless Distribution generated a negative expected return over the last 90 days | |
| Seamless Distribution has high historical volatility and very poor performance | |
| Seamless Distribution has high likelihood to experience some financial distress in the next 2 years | |
| About 36.0% of the company outstanding shares are owned by corporate insiders |
Price Density Drivers
Key market indicators for Seamless Distribution reflect the tension between long and short positioning, along with broader investor sentiment. Reviewing the table below helps investors assess the current dynamics driving Seamless Distribution's price behavior.
| Common Stock Shares Outstanding | 107.5 M | |
| Cash And Short Term Investments | 16.7 M |
Seamless Distribution Fundamentals Growth
The market prices Seamless Stock according to Seamless Distribution's ability to generate revenue growth, maintain healthy margins, and manage debt effectively. These fundamental drivers have a direct and measurable impact on Seamless Stock performance.
| Return On Equity | -0.0307 | |||
| Return On Asset | -0.0044 | |||
| Profit Margin | -0.01 % | |||
| Operating Margin | -0.01 % | |||
| Current Valuation | 201.2 M | |||
| Shares Outstanding | 10.46 M | |||
| Price To Earning | 31.28 X | |||
| Price To Book | 1.47 X | |||
| Price To Sales | 0.73 X | |||
| Revenue | 288.19 M | |||
| EBITDA | 63.86 M | |||
| Cash And Equivalents | 2 K | |||
| Total Debt | 195.25 M | |||
| Debt To Equity | 25.50 % | |||
| Book Value Per Share | 13.93 X | |||
| Cash Flow From Operations | 3.1 M | |||
| Earnings Per Share | -0.55 X | |||
| Total Asset | 397.95 M | |||
Performance Metrics & Calculation Methodology
Seamless Distribution performance is measured on a risk-adjusted basis against benchmarks. Liquidity conditions can influence realized performance through spreads and execution cost. Seamless Distribution shows ROE of -3.07%, ROA of -0.44%.
The analytics block for Seamless Distribution Systems relies on periodic company reporting and market reference feeds, with quality checks and normalization applied before rendering. Timing can vary by data vendor. Return and risk statistics are calculated from historical price series.