Zapata Computing Holdings (Zapata Computing Holdings) Debt-to-EBITDA : -0.52 (As of Dec. 2023)

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What is Zapata Computing Holdings Debt-to-EBITDA?

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

Zapata Computing Holdings's Short-Term Debt & Capital Lease Obligation for the quarter that ended in Dec. 2023 was $0.25 Mil. Zapata Computing Holdings's Long-Term Debt & Capital Lease Obligation for the quarter that ended in Dec. 2023 was $8.90 Mil. Zapata Computing Holdings's annualized EBITDA for the quarter that ended in Dec. 2023 was $-17.60 Mil. Zapata Computing Holdings's annualized Debt-to-EBITDA for the quarter that ended in Dec. 2023 was -0.52.

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 Zapata Computing Holdings's Debt-to-EBITDA or its related term are showing as below:

ZPTA' s Debt-to-EBITDA Range Over the Past 10 Years
Min: -0.51 Med: -0.27 Max: -0.03
Current: -0.51

During the past 3 years, the highest Debt-to-EBITDA Ratio of Zapata Computing Holdings was -0.03. The lowest was -0.51. And the median was -0.27.

ZPTA's Debt-to-EBITDA is ranked worse than
100% of 1607 companies
in the Software industry
Industry Median: 1.05 vs ZPTA: -0.51

Zapata Computing Holdings Debt-to-EBITDA Historical Data

The historical data trend for Zapata Computing Holdings'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.

Zapata Computing Holdings Debt-to-EBITDA Chart

Zapata Computing Holdings Annual Data

Trend

Dec21

Dec22

Dec23

Debt-to-EBITDA

-0.03

-0.51

Zapata Computing Holdings Semi-Annual Data
	Dec21	Jun22	Dec22	Jun23	Dec23
Debt-to-EBITDA	N/A	-	-0.03	-0.32	-0.52

Competitive Comparison of Zapata Computing Holdings's Debt-to-EBITDA

For the Software - Infrastructure subindustry, Zapata Computing Holdings'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.

Zapata Computing Holdings's Debt-to-EBITDA Distribution in the Software Industry

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

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

Zapata Computing Holdings Debt-to-EBITDA Calculation

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

Zapata Computing Holdings'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
	=	(0.252	+	8.9)	/	-17.944
	=	-0.51

Zapata Computing Holdings's annualized Debt-to-EBITDA for the quarter 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
	=	(0.252	+	8.9)	/	-17.604
	=	-0.52

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. 2023) EBITDA data.

Zapata Computing Holdings (NAS:ZPTA) 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.

Zapata Computing Holdings Debt-to-EBITDA Related Terms

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

Zapata Computing Holdings (Zapata Computing Holdings) Business Description

Industry

GURUFOCUS.COM » STOCK LIST » Technology » Software » Zapata Computing Holdings Inc (NAS:ZPTA) » Definitions » Debt-to-EBITDA

Comparable Companies

Traded in Other Exchanges

N/A

Address

100 Federal Street, Floor 20, Boston, MA, USA, 02110

Website

https://www.zapata.ai

Zapata Computing Holdings Inc is an Industrial Generative AI software company that develops generative AI applications and provides accompanying services to solve complex industrial problems. Its computational approaches leverage the statistical advantages of math based on quantum physics. Its primary target customers are enterprise organizations. It offers subscription-based solutions that combine software and services to develop custom Industrial Generative AI applications designed to resolve its enterprise customers' specific problems.

Zapata Computing Holdings (Zapata Computing Holdings) Headlines

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