SPDC (Speed Commerce) Debt-to-EBITDA : -4.32 (As of Dec. 2015)

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What is Speed Commerce Debt-to-EBITDA?

Speed Commerce SPDC Debt-to-EBITDA is -4.32 as of Dec. 2015.

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

Speed Commerce's Short-Term Debt & Capital Lease Obligation for the quarter that ended in Dec. 2015 was $116.7 Mil. Speed Commerce's Long-Term Debt & Capital Lease Obligation for the quarter that ended in Dec. 2015 was $0.2 Mil. Speed Commerce's annualized EBITDA for the quarter that ended in Dec. 2015 was $-27.1 Mil. Speed Commerce's annualized Debt-to-EBITDA for the quarter that ended in Dec. 2015 was -4.32.

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 Speed Commerce's Debt-to-EBITDA or its related term are showing as below:

SPDC's Debt-to-EBITDA is not ranked *
in the Software industry.
Industry Median: 1.09
* Ranked among companies with meaningful Debt-to-EBITDA only.

Speed Commerce  (OTCPK:SPDC) 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.


Speed Commerce Debt-to-EBITDA Related Terms


Speed Commerce Debt-to-EBITDA Historical Data

* Premium members only.

The historical data trend for Speed Commerce'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.

Speed Commerce Debt-to-EBITDA Chart

Speed Commerce Annual Data
Trend Mar06 Mar07 Mar08 Mar09 Mar10 Mar11 Mar12 Mar13 Mar14 Mar15
Debt-to-EBITDA
Get a 7-Day Free Trial Premium Member Only Premium Member Only 0.14 0.00 -5.96 312.58 -6.84

Speed Commerce Quarterly Data
Mar11 Jun11 Sep11 Dec11 Mar12 Jun12 Sep12 Dec12 Mar13 Jun13 Sep13 Dec13 Mar14 Jun14 Sep14 Dec14 Mar15 Jun15 Sep15 Dec15
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 -95.23 -1.88 16.72 -15.79 -4.32

SPDC vs RMDM, BVTK, LAAB: Debt-to-EBITDA Comparison

For the Software - Application subindustry, Speed Commerce'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.


Speed Commerce Debt-to-EBITDA vs Software Industry

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

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



Speed Commerce Debt-to-EBITDA Calculation

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

Speed Commerce's Debt-to-EBITDA for the fiscal year that ended in Mar. 2015 is calculated as

Debt-to-EBITDA=Total Debt / EBITDA
=(Short-Term Debt & Capital Lease Obligation + Long-Term Debt & Capital Lease Obligation) / EBITDA
=(4.193 + 96.537) / -14.733
=-6.84

Speed Commerce's annualized Debt-to-EBITDA for the quarter that ended in Dec. 2015 is calculated as

Debt-to-EBITDA=Total Debt / EBITDA
=(Short-Term Debt & Capital Lease Obligation + Long-Term Debt & Capital Lease Obligation) / EBITDA
=(116.719 + 0.194) / -27.088
=-4.32

* 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 (Dec. 2015) EBITDA data.

Frequently Asked Questions Learn more about Debt-to-EBITDA →
What does a Debt-to-EBITDA of -4.32 mean?
Speed Commerce (SPDC) has a Debt-to-EBITDA of -4.32 as of Dec. 2015. Debt-to-EBITDA ratio represents the ratio of total debt to total earnings before interest, taxes, depreciation and amortization. View historical data on Speed Commerce.
Is Speed Commerce's Debt-to-EBITDA too high?
Speed Commerce's current Debt-to-EBITDA is -4.32.
How does Speed Commerce's Debt-to-EBITDA compare to RMDM and BVTK?
Speed Commerce's Debt-to-EBITDA of -4.32 can be compared against companies in the Software industry. The industry median Debt-to-EBITDA is 1.09. 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 1.09, based on 1,714 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. 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 Speed Commerce. For the Software industry, the median Debt-to-EBITDA is 1.09 — values significantly above this may indicate overvaluation, while values below may suggest a bargain or underlying issues. Speed Commerce's current Debt-to-EBITDA is -4.32. However, context matters — high-growth companies often justify higher valuations. Always evaluate alongside other metrics like GF Score™ and GF Value™.
Is Speed Commerce stock overvalued right now?
Speed Commerce (SPDC) has a current Debt-to-EBITDA of -4.32. The current Debt-to-EBITDA is -4.32. 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 Speed Commerce (SPDC), the current Debt-to-EBITDA is -4.32 as of Dec. 2015. 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.

Speed Commerce Business Description

Address 1303 East Arapaho Road, Suite 200, Richardson, TX, USA, 75081
Speed Commerce Inc is a provider of flexible end-to-end e-commerce services to retailers and manufacturers. It provides Web platform development and hosting, order management, fulfillment, logistics and contact center services, which provide clients with transaction-based services and information management tools. It manages fulfillment center from four facilities located in Pennsylvania, Ohio, Missouri, and Texas, utilizing automation technology, such as unit sortation, pick-to-pack conveyors and radio frequency (RF) scanning.