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PDIYF (Predictive Discovery) Debt-to-EBITDA : -0.01 (As of Dec. 2024)


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What is Predictive Discovery Debt-to-EBITDA?

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

Predictive Discovery's Short-Term Debt & Capital Lease Obligation for the quarter that ended in Dec. 2024 was $0.05 Mil. Predictive Discovery's Long-Term Debt & Capital Lease Obligation for the quarter that ended in Dec. 2024 was $0.00 Mil. Predictive Discovery's annualized EBITDA for the quarter that ended in Dec. 2024 was $-10.29 Mil. Predictive Discovery's annualized Debt-to-EBITDA for the quarter that ended in Dec. 2024 was -0.01.

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

PDIYF' s Debt-to-EBITDA Range Over the Past 10 Years
Min: -0.03   Med: -0.02   Max: -0.01
Current: -0.01

During the past 13 years, the highest Debt-to-EBITDA Ratio of Predictive Discovery was -0.01. The lowest was -0.03. And the median was -0.02.

PDIYF's Debt-to-EBITDA is ranked worse than
100% of 528 companies
in the Metals & Mining industry
Industry Median: 1.57 vs PDIYF: -0.01

Predictive Discovery Debt-to-EBITDA Historical Data

The historical data trend for Predictive Discovery'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.

* Premium members only.

Predictive Discovery Debt-to-EBITDA Chart

Predictive Discovery Annual Data
Trend Jun15 Jun16 Jun17 Jun18 Jun19 Jun20 Jun21 Jun22 Jun23 Jun24
Debt-to-EBITDA
Get a 7-Day Free Trial Premium Member Only Premium Member Only - - - -0.03 -0.02

Predictive Discovery Semi-Annual Data
Jun15 Dec15 Jun16 Dec16 Jun17 Dec17 Jun18 Dec18 Jun19 Dec19 Jun20 Dec20 Jun21 Dec21 Jun22 Dec22 Jun23 Dec23 Jun24 Dec24
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 -0.02 -0.05 -0.03 -0.01 -0.01

Competitive Comparison of Predictive Discovery's Debt-to-EBITDA

For the Gold subindustry, Predictive Discovery'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.


Predictive Discovery's Debt-to-EBITDA Distribution in the Metals & Mining Industry

For the Metals & Mining industry and Basic Materials sector, Predictive Discovery's Debt-to-EBITDA distribution charts can be found below:

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


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Predictive Discovery Debt-to-EBITDA Calculation

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

Predictive Discovery's Debt-to-EBITDA for the fiscal year that ended in Jun. 2024 is calculated as

Debt-to-EBITDA=Total Debt / EBITDA
=(Short-Term Debt & Capital Lease Obligation + Long-Term Debt & Capital Lease Obligation) / EBITDA
=(0.106 + 0) / -6.598
=-0.02

Predictive Discovery's annualized Debt-to-EBITDA for the quarter that ended in Dec. 2024 is calculated as

Debt-to-EBITDA=Total Debt / EBITDA
=(Short-Term Debt & Capital Lease Obligation + Long-Term Debt & Capital Lease Obligation) / EBITDA
=(0.054 + 0) / -10.286
=-0.01

* 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 two times the quarterly (Dec. 2024) EBITDA data.


Predictive Discovery  (OTCPK:PDIYF) 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.


Predictive Discovery Debt-to-EBITDA Related Terms

Thank you for viewing the detailed overview of Predictive Discovery's Debt-to-EBITDA provided by GuruFocus.com. Please click on the following links to see related term pages.


Predictive Discovery Business Description

Traded in Other Exchanges
Address
110 Hay Street, Suite 8, Subiaco, Perth, WA, AUS, 6008
Predictive Discovery Ltd is focused on discovering and developing gold deposits within the Siguiri Basin, Guinea. Its key asset is the Tier-1 Bankan Gold Project. A Mineral Resource has been defined to date at the NEB and BC deposits, making Bankan the gold discovery in West Africa in a decade. The group portfolio includes The Koundian Project, The Bankan Gold Project, Regional Exploration, and other projects. Its segment consists of Gold Guinea and Corporate.

Predictive Discovery Headlines

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