SCDA (B- Scada) Margin of Safety % (DCF Earnings Based): N/A (As of Jun. 26, 2026)


What is B- Scada Margin of Safety % (DCF Earnings Based)?

Margin of Safety % (DCF Earnings Based) = (Intrinsic Value: DCF (Earnings Based) - Current Price) / Intrinsic Value: DCF (Earnings Based).

Note: Discounted Earnings model is only suitable for predictable companies (Business Predictability Rank higher than 1-Star). If the company's Predictability Rank is 1-Star or Not Rated, result may not be accurate due to the low predictability of business and the data will not be stored into our database.

B- Scada's Predictability Rank is Not Rated. Thus, the DCF related results in the screener and portfolio will appear as zero and Margin of Safety % (DCF Earnings Based) is not calculated.

SCDA vs BVTK, LAAB, AGGG: Margin of Safety % (DCF Earnings Based) Comparison

For the Software - Application subindustry, B- Scada's Margin of Safety % (DCF Earnings Based), along with its competitors' market caps and Margin of Safety % (DCF Earnings Based) data, can be viewed below:

* Competitive companies are chosen from companies within the same industry, with headquarter located in same country, with closest market capitalization; x-axis shows the market cap, and y-axis shows the term value; the bigger the dot, the larger the market cap. Note that "N/A" values will not show up in the chart.

B- Scada Margin of Safety % (DCF Earnings Based) vs Software Industry

For the Software industry and Technology sector, B- Scada's Margin of Safety % (DCF Earnings Based) distribution charts can be found below:

* The bar in red indicates where B- Scada's Margin of Safety % (DCF Earnings Based) falls into.


B- Scada Business Description

Address 104 S. Walnut Street, Unti1A, Itasca, FL, USA, 60143
B- Scada Inc is focused on the development and commercialization of agentic artificial intelligence (AI) solutions tailored for small- and medium-sized business (SMB) corporate clients, as well as high net worth individuals. Agentic AI refers to autonomous AI systems capable of performing tasks, making decisions, and interacting with environments or data sources with minimal human intervention, often through multi-step reasoning and tool integration. The company designs, prototypes and deploys bespoke or proprietary agentic AI solutions. These solutions address operational inefficiencies in areas such as human resources (HR), financial planning, inventory management, and data aggregation.