SCDA (B- Scada) Debt-to-EBITDA : 0.24 (As of Apr. 2017)


What is B- Scada Debt-to-EBITDA?

B- Scada SCDA Debt-to-EBITDA is 0.24 as of Apr. 2017.

Debt-to-EBITDA measures a company's ability to pay off its debt.

B- Scada's Short-Term Debt & Capital Lease Obligation for the quarter that ended in Apr. 2017 was $0.02 Mil. B- Scada's Long-Term Debt & Capital Lease Obligation for the quarter that ended in Apr. 2017 was $0.06 Mil. B- Scada's annualized EBITDA for the quarter that ended in Apr. 2017 was $0.34 Mil. B- Scada's annualized Debt-to-EBITDA for the quarter that ended in Apr. 2017 was 0.24.

A high Debt-to-EBITDA ratio generally means that a company may spend more time to paying off its debt. According to Joel Tillinghast's BIG MONEY THINKS SMALL: Biases, Blind Spots, and Smarter Investing, a ratio of Debt-to-EBITDA exceeding four is usually considered scary unless tangible assets cover the debt.

The historical rank and industry rank for B- Scada's Debt-to-EBITDA or its related term are showing as below:

SCDA's Debt-to-EBITDA is not ranked *
in the Software industry.
Industry Median: 1.075
* Ranked among companies with meaningful Debt-to-EBITDA only.

B- Scada  (OTCPK:SCDA) Debt-to-EBITDA Explanation

In the calculation of Debt-to-EBITDA, we use the total of Short-Term Debt & Capital Lease Obligation and Long-Term Debt & Capital Lease Obligation divided by EBITDA. In some calculations, Total Liabilities is used to for calculation.


Be Aware

A high Debt-to-EBITDA ratio generally means that a company may spend more time to paying off its debt.

According to Joel Tillinghast's BIG MONEY THINKS SMALL: Biases, Blind Spots, and Smarter Investing, a ratio of Debt-to-EBITDA exceeding four is usually considered scary unless tangible assets cover the debt.


B- Scada Debt-to-EBITDA Related Terms


B- Scada Debt-to-EBITDA Historical Data

* Premium members only.

The historical data trend for B- Scada's Debt-to-EBITDA can be seen below:

* For Operating Data section: All numbers are indicated by the unit behind each term and all currency related amount are in USD.
* For other sections: All numbers are in millions except for per share data, ratio, and percentage. All currency related amount are indicated in the company's associated stock exchange currency.

B- Scada Debt-to-EBITDA Chart

B- Scada Annual Data
Trend Oct07 Oct08 Oct09 Oct10 Oct11 Oct12 Oct13 Oct14 Oct15 Oct16
Debt-to-EBITDA
Get a 7-Day Free Trial Premium Member Only Premium Member Only 1.17 0.00 0.21 -0.19 -0.22

B- Scada Quarterly Data
Jul12 Oct12 Jan13 Apr13 Jul13 Oct13 Jan14 Apr14 Jul14 Oct14 Jan15 Apr15 Jul15 Oct15 Jan16 Apr16 Jul16 Oct16 Jan17 Apr17
Debt-to-EBITDA Get a 7-Day Free Trial Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only -0.52 -0.68 -0.08 -0.15 0.24

SCDA vs BVTK, LAAB, AGGG: Debt-to-EBITDA Comparison

For the Software - Application subindustry, B- Scada's Debt-to-EBITDA, along with its competitors' market caps and Debt-to-EBITDA 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 Debt-to-EBITDA vs Software Industry

For the Software industry and Technology sector, B- Scada's Debt-to-EBITDA distribution charts can be found below:

* The bar in red indicates where B- Scada's Debt-to-EBITDA falls into.



B- Scada Debt-to-EBITDA Calculation

Debt-to-EBITDA measures a company's ability to pay off its debt.

B- Scada's Debt-to-EBITDA for the fiscal year that ended in Oct. 2016 is calculated as

Debt-to-EBITDA=Total Debt / EBITDA
=(Short-Term Debt & Capital Lease Obligation + Long-Term Debt & Capital Lease Obligation) / EBITDA
=(0.018 + 0.068) / -0.396
=-0.22

B- Scada's annualized Debt-to-EBITDA for the quarter that ended in Apr. 2017 is calculated as

Debt-to-EBITDA=Total Debt / EBITDA
=(Short-Term Debt & Capital Lease Obligation + Long-Term Debt & Capital Lease Obligation) / EBITDA
=(0.018 + 0.063) / 0.34
=0.24

* For Operating Data section: All numbers are indicated by the unit behind each term and all currency related amount are in USD.
* For other sections: All numbers are in millions except for per share data, ratio, and percentage. All currency related amount are indicated in the company's associated stock exchange currency.

In the calculation of annual Debt-to-EBITDA, the EBITDA of the last fiscal year is used. In calculating the annualized quarterly data, the EBITDA data used here is four times the quarterly (Apr. 2017) EBITDA data.

Frequently Asked Questions Learn more about Debt-to-EBITDA →
What does a Debt-to-EBITDA of 0.24 mean?
B- Scada (SCDA) has a Debt-to-EBITDA of 0.24 as of Apr. 2017. Debt-to-EBITDA ratio represents the ratio of total debt to total earnings before interest, taxes, depreciation and amortization. View historical data on B- Scada.
Is B- Scada's Debt-to-EBITDA too high?
B- Scada's current Debt-to-EBITDA is 0.24. The Software industry median Debt-to-EBITDA is 1.08. B- Scada's value of 0.24 is 77.7% below this industry median.
How does B- Scada's Debt-to-EBITDA compare to BVTK and LAAB?
B- Scada's Debt-to-EBITDA of 0.24 can be compared against companies in the Software industry. The industry median Debt-to-EBITDA is 1.08. B- Scada's value of 0.24 is 77.7% below this benchmark. See the competitive comparison table and distribution chart on this page for a detailed peer-by-peer breakdown.
What is a good Debt-to-EBITDA for a Software company?
The median Debt-to-EBITDA among Software companies is 1.08, based on 1,702 companies in the industry. Companies in the top quartile (top 25%) have a Debt-to-EBITDA significantly above this median, while those in the bottom quartile fall well below. However, Debt-to-EBITDA should not be evaluated in isolation — investors should consider it alongside profitability, growth, and financial strength metrics. B- Scada's current Debt-to-EBITDA of 0.24 is 77.7% below the industry median. Use the industry distribution chart on this page to see where any company falls relative to its peers.
What does a high Debt-to-EBITDA mean?
A high Debt-to-EBITDA can signal that a stock is expensive relative to its fundamentals. Debt-to-EBITDA ratio represents the ratio of total debt to total earnings before interest, taxes, depreciation and amortization. View historical data on B- Scada. For the Software industry, the median Debt-to-EBITDA is 1.08 — values significantly above this may indicate overvaluation, while values below may suggest a bargain or underlying issues. B- Scada's current Debt-to-EBITDA is 0.24. However, context matters — high-growth companies often justify higher valuations. Always evaluate alongside other metrics like GF Score™ and GF Value™.
Is B- Scada stock overvalued right now?
B- Scada (SCDA) has a current Debt-to-EBITDA of 0.24. The current Debt-to-EBITDA is 0.24 and 77.7% below the Software industry median of 1.08. Investors should evaluate multiple metrics — including profitability, growth, and financial strength — before making a decision.
How is Debt-to-EBITDA calculated?
Debt-to-EBITDA is calculated from a company's financial statements. For B- Scada (SCDA), the current Debt-to-EBITDA is 0.24 as of Apr. 2017. GuruFocus calculates this using data sourced from SEC filings and annual reports. See the calculation section and 30-year financial data on this page for the full breakdown.

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.