OPVS (NanoFlex Power) Debt-to-EBITDA : -2.05 (As of Dec. 2019)

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What is NanoFlex Power Debt-to-EBITDA?

NanoFlex Power OPVS Debt-to-EBITDA is -2.05 as of Dec. 2019.

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

NanoFlex Power's Short-Term Debt & Capital Lease Obligation for the quarter that ended in Dec. 2019 was $7.68 Mil. NanoFlex Power's Long-Term Debt & Capital Lease Obligation for the quarter that ended in Dec. 2019 was $0.00 Mil. NanoFlex Power's annualized EBITDA for the quarter that ended in Dec. 2019 was $-3.75 Mil. NanoFlex Power's annualized Debt-to-EBITDA for the quarter that ended in Dec. 2019 was -2.05.

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

OPVS's Debt-to-EBITDA is not ranked *
in the Semiconductors industry.
Industry Median: 1.44
* Ranked among companies with meaningful Debt-to-EBITDA only.

NanoFlex Power  (OTCPK:OPVS) 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.


NanoFlex Power Debt-to-EBITDA Related Terms


NanoFlex Power Debt-to-EBITDA Historical Data

* Premium members only.

The historical data trend for NanoFlex Power'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.

NanoFlex Power Debt-to-EBITDA Chart

NanoFlex Power Annual Data
Trend Dec12 Dec13 Dec14 Dec15 Dec16 Dec17 Dec18 Dec19
Debt-to-EBITDA
Get a 7-Day Free Trial -0.09 -0.75 -0.80 -0.46 -1.43

NanoFlex Power Quarterly Data
Mar15 Jun15 Sep15 Dec15 Mar16 Jun16 Sep16 Dec16 Mar17 Jun17 Sep17 Dec17 Mar18 Jun18 Sep18 Dec18 Mar19 Jun19 Sep19 Dec19
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 -2.38 -1.21 -0.74 -0.92 -2.05

OPVS vs SPI, PECK, VVPR: Debt-to-EBITDA Comparison

For the Solar subindustry, NanoFlex Power'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.


NanoFlex Power Debt-to-EBITDA vs Semiconductors Industry

For the Semiconductors industry and Technology sector, NanoFlex Power's Debt-to-EBITDA distribution charts can be found below:

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



NanoFlex Power Debt-to-EBITDA Calculation

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

NanoFlex Power's Debt-to-EBITDA for the fiscal year that ended in Dec. 2019 is calculated as

Debt-to-EBITDA=Total Debt / EBITDA
=(Short-Term Debt & Capital Lease Obligation + Long-Term Debt & Capital Lease Obligation) / EBITDA
=(7.677 + 0) / -5.37
=-1.43

NanoFlex Power's annualized Debt-to-EBITDA for the quarter that ended in Dec. 2019 is calculated as

Debt-to-EBITDA=Total Debt / EBITDA
=(Short-Term Debt & Capital Lease Obligation + Long-Term Debt & Capital Lease Obligation) / EBITDA
=(7.677 + 0) / -3.748
=-2.05

* 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. 2019) EBITDA data.

Frequently Asked Questions Learn more about Debt-to-EBITDA →
What does a Debt-to-EBITDA of -2.05 mean?
NanoFlex Power (OPVS) has a Debt-to-EBITDA of -2.05 as of Dec. 2019. Debt-to-EBITDA ratio represents the ratio of total debt to total earnings before interest, taxes, depreciation and amortization. View historical data on NanoFlex Power.
Is NanoFlex Power's Debt-to-EBITDA too high?
NanoFlex Power's current Debt-to-EBITDA is -2.05.
How does NanoFlex Power's Debt-to-EBITDA compare to SPI and PECK?
NanoFlex Power's Debt-to-EBITDA of -2.05 can be compared against companies in the Semiconductors industry. The industry median Debt-to-EBITDA is 1.44. 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 Semiconductors company?
The median Debt-to-EBITDA among Semiconductors companies is 1.44, based on 721 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 NanoFlex Power. For the Semiconductors industry, the median Debt-to-EBITDA is 1.44 — values significantly above this may indicate overvaluation, while values below may suggest a bargain or underlying issues. NanoFlex Power's current Debt-to-EBITDA is -2.05. However, context matters — high-growth companies often justify higher valuations. Always evaluate alongside other metrics like GF Score™ and GF Value™.
Is NanoFlex Power stock overvalued right now?
NanoFlex Power (OPVS) has a current Debt-to-EBITDA of -2.05. The current Debt-to-EBITDA is -2.05. 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 NanoFlex Power (OPVS), the current Debt-to-EBITDA is -2.05 as of Dec. 2019. 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.

NanoFlex Power Business Description

Address 15333 North Pima Road, Suite 305, Scottsdale, AZ, USA, 85260
NanoFlex Power Corp serves in the solar industry in the United States. It is organized to fund, develop, commercialize and license advanced photovoltaic technologies that enable thin-film solar products with industry- leading efficiencies, light weight, flexibility, and low total system cost. These technologies are used for applications including portable and off-grid power generation, building applied photovoltaics, building integrated photovoltaics, space vehicles and unmanned aerial vehicles, semi-transparent solar power generating windows or glazing, ultra-thin solar films for automobiles or other consumer applications and solar-powered sensors.