Schweiter Technologies Ag Stock Net Income
| SWTQ Stock | CHF 266.50 5.00 1.84% |
As of the 18th of February 2026, Schweiter Technologies has the Coefficient Of Variation of 4723.66, risk adjusted performance of 0.024, and Semi Deviation of 2.93. In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Schweiter Technologies, as well as the relationship between them. Please validate Schweiter Technologies variance, jensen alpha, and the relationship between the standard deviation and information ratio to decide if Schweiter Technologies is priced more or less accurately, providing market reflects its prevalent price of 266.5 per share.
Schweiter Technologies Total Revenue |
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Gross Profit | Profit Margin | Market Capitalization | Enterprise Value Revenue 0.3991 | Revenue |
| Last Reported | Projected for Next Year | ||
| Net Income | 11.6 M | 11 M | |
| Net Income From Continuing Ops | 11.6 M | 11 M | |
| Net Income Applicable To Common Shares | 12 M | 11.4 M | |
| Net Income Per Share | 8.36 | 7.94 | |
| Net Income Per E B T | 0.55 | 0.57 |
Schweiter | Net Income |
The evolution of Net Income for Schweiter Technologies AG provides essential context for understanding the company's financial health trajectory. By analyzing this metric's behavior over time, investors can assess whether recent trends align with long-term patterns, and how Schweiter Technologies compares to historical norms and industry peers.
Latest Schweiter Technologies' Net Income Growth Pattern
Below is the plot of the Net Income of Schweiter Technologies AG over the last few years. Net income is one of the most important fundamental items in finance. It plays a large role in Schweiter Technologies financial statement analysis. It represents the amount of money remaining after all of Schweiter Technologies AG operating expenses, interest, taxes and preferred stock dividends have been deducted from a company total revenue. It is Schweiter Technologies' Net Income historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Schweiter Technologies' overall financial position and show how it may be relating to other accounts over time.
| View | Last Reported 12.9 M | 10 Years Trend |
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Net Income |
| Timeline |
Schweiter Net Income Regression Statistics
| Arithmetic Mean | 43,590,485 | |
| Coefficient Of Variation | 80.55 | |
| Mean Deviation | 26,325,429 | |
| Median | 47,502,000 | |
| Standard Deviation | 35,110,965 | |
| Sample Variance | 1232.8T | |
| Range | 152.2M | |
| R-Value | 0.02 | |
| Mean Square Error | 1314.2T | |
| R-Squared | 0.0006 | |
| Significance | 0.93 | |
| Slope | 166,681 | |
| Total Sum of Squares | 19724.5T |
Schweiter Net Income History
Schweiter Net Income Driver Correlations
Understanding the fundamental principles of building solid financial models for Schweiter Technologies is extremely important. It helps to project a fair market value of Schweiter Stock properly, considering its historical fundamentals such as Net Income. Since Schweiter Technologies' main accounts across its financial reports are all linked and dependent on each other, it is essential to analyze all possible correlations between related accounts. However, instead of reviewing all of Schweiter Technologies' historical financial statements, investors can examine the correlated drivers to determine its overall health. This can be effectively done using a conventional correlation matrix of Schweiter Technologies' interrelated accounts and indicators.
Click cells to compare fundamentals
Schweiter Technologies 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Schweiter Technologies' stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Schweiter Technologies.
| 11/20/2025 |
| 02/18/2026 |
If you would invest 0.00 in Schweiter Technologies on November 20, 2025 and sell it all today you would earn a total of 0.00 from holding Schweiter Technologies AG or generate 0.0% return on investment in Schweiter Technologies over 90 days. Schweiter Technologies is related to or competes with Arbonia AG, PHOENIX N, Meier Tobler, Mikron Holding, Medmix AG, Metall Zug, and Komax Holding. Schweiter Technologies AG engages in the development, production, and distribution of composite panels and core material... More
Schweiter Technologies Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Schweiter Technologies' stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Schweiter Technologies AG upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 3.25 | |||
| Information Ratio | 0.0022 | |||
| Maximum Drawdown | 16.81 | |||
| Value At Risk | (4.30) | |||
| Potential Upside | 4.55 |
Schweiter Technologies Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Schweiter Technologies' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Schweiter Technologies' standard deviation. In reality, there are many statistical measures that can use Schweiter Technologies historical prices to predict the future Schweiter Technologies' volatility.| Risk Adjusted Performance | 0.024 | |||
| Jensen Alpha | 0.0325 | |||
| Total Risk Alpha | (0.10) | |||
| Sortino Ratio | 0.0019 | |||
| Treynor Ratio | 0.1276 |
Schweiter Technologies February 18, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.024 | |||
| Market Risk Adjusted Performance | 0.1376 | |||
| Mean Deviation | 1.84 | |||
| Semi Deviation | 2.93 | |||
| Downside Deviation | 3.25 | |||
| Coefficient Of Variation | 4723.66 | |||
| Standard Deviation | 2.79 | |||
| Variance | 7.79 | |||
| Information Ratio | 0.0022 | |||
| Jensen Alpha | 0.0325 | |||
| Total Risk Alpha | (0.10) | |||
| Sortino Ratio | 0.0019 | |||
| Treynor Ratio | 0.1276 | |||
| Maximum Drawdown | 16.81 | |||
| Value At Risk | (4.30) | |||
| Potential Upside | 4.55 | |||
| Downside Variance | 10.58 | |||
| Semi Variance | 8.6 | |||
| Expected Short fall | (1.96) | |||
| Skewness | (0.89) | |||
| Kurtosis | 4.61 |
Schweiter Technologies Backtested Returns
At this stage we consider Schweiter Stock to be very steady. Schweiter Technologies owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0475, which indicates the firm had a 0.0475 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Schweiter Technologies AG, which you can use to evaluate the volatility of the company. Please validate Schweiter Technologies' Semi Deviation of 2.93, risk adjusted performance of 0.024, and Coefficient Of Variation of 4723.66 to confirm if the risk estimate we provide is consistent with the expected return of 0.14%. Schweiter Technologies has a performance score of 3 on a scale of 0 to 100. The entity has a beta of 0.38, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, Schweiter Technologies' returns are expected to increase less than the market. However, during the bear market, the loss of holding Schweiter Technologies is expected to be smaller as well. Schweiter Technologies right now has a risk of 2.95%. Please validate Schweiter Technologies jensen alpha, sortino ratio, and the relationship between the standard deviation and total risk alpha , to decide if Schweiter Technologies will be following its existing price patterns.
Auto-correlation | -0.51 |
Good reverse predictability
Schweiter Technologies AG has good reverse predictability. Overlapping area represents the amount of predictability between Schweiter Technologies time series from 20th of November 2025 to 4th of January 2026 and 4th of January 2026 to 18th of February 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Schweiter Technologies price movement. The serial correlation of -0.51 indicates that about 51.0% of current Schweiter Technologies price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.51 | |
| Spearman Rank Test | -0.08 | |
| Residual Average | 0.0 | |
| Price Variance | 101.83 |
Because income is reported on the Income Statement of a company and is measured in dollars some investors prefer to use Profit Margin, which measures income as a percentage of sales.
| Competition |
Schweiter Accumulated Other Comprehensive Income
Accumulated Other Comprehensive Income |
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Based on the recorded statements, Schweiter Technologies AG reported net income of 12.9 M. This is 95.03% lower than that of the Building Products sector and 95.83% lower than that of the Industrials industry. The net income for all Switzerland stocks is 97.74% higher than that of the company.
Schweiter Net Income Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Schweiter Technologies' direct or indirect competition against its Net Income to detect undervalued stocks with similar characteristics or determine the stocks which would be a good addition to a portfolio. Peer analysis of Schweiter Technologies could also be used in its relative valuation, which is a method of valuing Schweiter Technologies by comparing valuation metrics of similar companies.Schweiter Technologies is currently under evaluation in net income category among its peers.
Schweiter Fundamentals
| Return On Equity | 0.0076 | ||||
| Return On Asset | 0.0114 | ||||
| Profit Margin | 0.01 % | ||||
| Operating Margin | 0.04 % | ||||
| Current Valuation | 390.04 M | ||||
| Shares Outstanding | 1.43 M | ||||
| Shares Owned By Insiders | 34.51 % | ||||
| Shares Owned By Institutions | 21.82 % | ||||
| Price To Earning | 24.14 X | ||||
| Price To Book | 0.58 X | ||||
| Price To Sales | 0.40 X | ||||
| Revenue | 1.01 B | ||||
| Gross Profit | 468.4 M | ||||
| EBITDA | 71.7 M | ||||
| Net Income | 12.9 M | ||||
| Cash And Equivalents | 106.8 M | ||||
| Cash Per Share | 75.49 X | ||||
| Total Debt | 108.1 M | ||||
| Debt To Equity | 0.20 % | ||||
| Current Ratio | 3.20 X | ||||
| Book Value Per Share | 481.64 X | ||||
| Cash Flow From Operations | 85.7 M | ||||
| Earnings Per Share | 4.10 X | ||||
| Target Price | 382.6 | ||||
| Number Of Employees | 4.45 K | ||||
| Beta | 1.14 | ||||
| Market Capitalization | 387.3 M | ||||
| Total Asset | 1.07 B | ||||
| Retained Earnings | 830.2 M | ||||
| Working Capital | 263.6 M | ||||
| Annual Yield | 0.06 % | ||||
| Five Year Return | 4.23 % | ||||
| Net Asset | 1.07 B | ||||
| Last Dividend Paid | 15.0 |
About Schweiter Technologies Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Schweiter Technologies AG's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Schweiter Technologies using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Schweiter Technologies AG based on its fundamental data. In general, a quantitative approach, as applied to this company, focuses on analyzing financial statements comparatively, whereas a qaualitative method uses data that is important to a company's growth but cannot be measured and presented in a numerical way.
Please read more on our fundamental analysis page.
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When running Schweiter Technologies' price analysis, check to measure Schweiter Technologies' market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Schweiter Technologies is operating at the current time. Most of Schweiter Technologies' value examination focuses on studying past and present price action to predict the probability of Schweiter Technologies' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Schweiter Technologies' price. Additionally, you may evaluate how the addition of Schweiter Technologies to your portfolios can decrease your overall portfolio volatility.