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AFI Properties (XTAE:AFPR) Debt-to-EBITDA : 13.77 (As of Mar. 2024)


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What is AFI Properties Debt-to-EBITDA?

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

AFI Properties's Short-Term Debt & Capital Lease Obligation for the quarter that ended in Mar. 2024 was ₪1,887 Mil. AFI Properties's Long-Term Debt & Capital Lease Obligation for the quarter that ended in Mar. 2024 was ₪9,495 Mil. AFI Properties's annualized EBITDA for the quarter that ended in Mar. 2024 was ₪827 Mil. AFI Properties's annualized Debt-to-EBITDA for the quarter that ended in Mar. 2024 was 13.77.

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

XTAE:AFPR' s Debt-to-EBITDA Range Over the Past 10 Years
Min: 6.66   Med: 7.77   Max: 34.8
Current: 13.6

During the past 13 years, the highest Debt-to-EBITDA Ratio of AFI Properties was 34.80. The lowest was 6.66. And the median was 7.77.

XTAE:AFPR's Debt-to-EBITDA is ranked worse than
77.93% of 1264 companies
in the Real Estate industry
Industry Median: 5.9 vs XTAE:AFPR: 13.60

AFI Properties Debt-to-EBITDA Historical Data

The historical data trend for AFI Properties'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.

AFI Properties Debt-to-EBITDA Chart

AFI Properties Annual Data
Trend Dec14 Dec15 Dec16 Dec17 Dec18 Dec19 Dec20 Dec21 Dec22 Dec23
Debt-to-EBITDA
Get a 7-Day Free Trial Premium Member Only Premium Member Only 7.73 34.80 7.12 9.09 16.06

AFI Properties Quarterly Data
Jun19 Sep19 Dec19 Mar20 Jun20 Sep20 Dec20 Mar21 Jun21 Sep21 Dec21 Mar22 Jun22 Sep22 Dec22 Mar23 Jun23 Sep23 Dec23 Mar24
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 40.31 11.02 8.08 30.71 13.77

Competitive Comparison of AFI Properties's Debt-to-EBITDA

For the Real Estate Services subindustry, AFI Properties'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.


AFI Properties's Debt-to-EBITDA Distribution in the Real Estate Industry

For the Real Estate industry and Real Estate sector, AFI Properties's Debt-to-EBITDA distribution charts can be found below:

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



AFI Properties Debt-to-EBITDA Calculation

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

AFI Properties's Debt-to-EBITDA for the fiscal year that ended in Dec. 2023 is calculated as

Debt-to-EBITDA=Total Debt / EBITDA
=(Short-Term Debt & Capital Lease Obligation + Long-Term Debt & Capital Lease Obligation) / EBITDA
=(1786.306 + 9349.752) / 693.239
=16.06

AFI Properties's annualized Debt-to-EBITDA for the quarter that ended in Mar. 2024 is calculated as

Debt-to-EBITDA=Total Debt / EBITDA
=(Short-Term Debt & Capital Lease Obligation + Long-Term Debt & Capital Lease Obligation) / EBITDA
=(1886.638 + 9495.143) / 826.86
=13.77

* 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 (Mar. 2024) EBITDA data.


AFI Properties  (XTAE:AFPR) 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.


AFI Properties Debt-to-EBITDA Related Terms

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


AFI Properties (XTAE:AFPR) Business Description

Traded in Other Exchanges
N/A
Address
4 Derech Hahoresh Street, Yehud, ISR
AFI Properties Ltd is a real estate developer which initiates, constructs, rents and operates industrial buildings, offices, and commercial properties in Israel and Europe. The company also develops residential projects in Europe. The company's commercial buildings include Beit Harofim, Vertex House, The Main Commercial Center and Stage Center. Its shopping malls consist of Lev Hamoshava at City Center, Lev Talpiot, The Panorama Center and Big Fashion. Its offices portfolio includes Psagot Tower, Concorde Tower and AFI Square-Tel Aviv. Its logistic parks include Rehovot Science Park, Global Park Lod, Weitzmann Science Park and Migdal HaEmek Science Park.

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