MTST (MetaStat) Debt-to-EBITDA : -0.27 (As of Feb. 2018)

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What is MetaStat Debt-to-EBITDA?

MetaStat MTST Debt-to-EBITDA is -0.27 as of Feb. 2018.

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

MetaStat's Short-Term Debt & Capital Lease Obligation for the quarter that ended in Feb. 2018 was $1.00 Mil. MetaStat's Long-Term Debt & Capital Lease Obligation for the quarter that ended in Feb. 2018 was $0.00 Mil. MetaStat's annualized EBITDA for the quarter that ended in Feb. 2018 was $-3.68 Mil. MetaStat's annualized Debt-to-EBITDA for the quarter that ended in Feb. 2018 was -0.27.

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

MTST's Debt-to-EBITDA is not ranked *
in the Biotechnology industry.
Industry Median: 1.14
* Ranked among companies with meaningful Debt-to-EBITDA only.

MetaStat  (OTCPK:MTST) 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.

MetaStat Debt-to-EBITDA Related Terms

MetaStat Debt-to-EBITDA Historical Data

* Premium members only.

The historical data trend for MetaStat'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.

MetaStat Debt-to-EBITDA Chart

MetaStat Annual Data
Trend Feb09 Feb10 Feb11 Feb12 Feb13 Feb14 Feb15 Feb16 Feb17 Feb18
Debt-to-EBITDA
Get a 7-Day Free Trial Premium Member Only Premium Member Only -0.48 -0.04 -0.36 -0.56 -0.34

MetaStat Quarterly Data
May13 Aug13 Nov13 Feb14 May14 Aug14 Nov14 Feb15 May15 Aug15 Nov15 Feb16 May16 Aug16 Nov16 Feb17 May17 Aug17 Nov17 Feb18
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 0.38 -1.11 -0.35 -0.22 -0.27

MTST vs OBMP, NSPX, ATRX: Debt-to-EBITDA Comparison

For the Biotechnology subindustry, MetaStat'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.

MetaStat Debt-to-EBITDA vs Biotechnology Industry

For the Biotechnology industry and Healthcare sector, MetaStat's Debt-to-EBITDA distribution charts can be found below:

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


MetaStat Debt-to-EBITDA Calculation

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

MetaStat's Debt-to-EBITDA for the fiscal year that ended in Feb. 2018 is calculated as

Debt-to-EBITDA=Total Debt / EBITDA
=(Short-Term Debt & Capital Lease Obligation + Long-Term Debt & Capital Lease Obligation) / EBITDA
=(1 + 0) / -2.973
=-0.34

MetaStat's annualized Debt-to-EBITDA for the quarter that ended in Feb. 2018 is calculated as

Debt-to-EBITDA=Total Debt / EBITDA
=(Short-Term Debt & Capital Lease Obligation + Long-Term Debt & Capital Lease Obligation) / EBITDA
=(1 + 0) / -3.676
=-0.27

* 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 (Feb. 2018) EBITDA data.

Frequently Asked Questions Learn more about Debt-to-EBITDA →
What does a Debt-to-EBITDA of -0.27 mean?
MetaStat (MTST) has a Debt-to-EBITDA of -0.27 as of Feb. 2018. Debt-to-EBITDA ratio represents the ratio of total debt to total earnings before interest, taxes, depreciation and amortization. View historical data on MetaStat.
Is MetaStat's Debt-to-EBITDA too high?
MetaStat's current Debt-to-EBITDA is -0.27.
How does MetaStat's Debt-to-EBITDA compare to OBMP and NSPX?
MetaStat's Debt-to-EBITDA of -0.27 can be compared against companies in the Biotechnology industry. The industry median Debt-to-EBITDA is 1.14. 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 Biotechnology company?
The median Debt-to-EBITDA among Biotechnology companies is 1.14, based on 291 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 MetaStat. For the Biotechnology industry, the median Debt-to-EBITDA is 1.14 — values significantly above this may indicate overvaluation, while values below may suggest a bargain or underlying issues. MetaStat's current Debt-to-EBITDA is -0.27. However, context matters — high-growth companies often justify higher valuations. Always evaluate alongside other metrics like GF Score™ and GF Value™.
Is MetaStat stock overvalued right now?
MetaStat (MTST) has a current Debt-to-EBITDA of -0.27. The current Debt-to-EBITDA is -0.27. 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 MetaStat (MTST), the current Debt-to-EBITDA is -0.27 as of Feb. 2018. 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.

MetaStat Business Description

Address 27 Drydock Avenue, 2nd Floor, Boston, MA, USA, 02210
MetaStat Inc is a us-based biotechnology company which focuses on discovering and developing personalized therapeutic (Rx) and diagnostic (Dx) treatment solutions for cancer patients. The company focuses on development programs of the novel therapeutic product candidates that target the Mena protein isoform whereas the Companion Diagnostics program is focused on developing companion tests to be used in combination with cancer drugs, that provide essential information for the safe and effective use of a corresponding drug or biological product to improve patient outcome. It also develops a prognostic diagnostic program which is focused on developing diagnostic tests that predict the risk of future metastasis in cancer patients following the initial treatment of their primary tumor.