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Agilent Technologies (LTS:0HAV) LT-Debt-to-Total-Asset : 0.28 (As of Jan. 2025)


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What is Agilent Technologies LT-Debt-to-Total-Asset?

LT Debt to Total Assets is a measurement representing the percentage of a corporation's assets that are financed with loans and financial obligations lasting more than one year. The ratio provides a general measure of the financial position of a company, including its ability to meet financial requirements for outstanding loans. It is calculated as a company's Long-Term Debt & Capital Lease Obligationdivide by its Total Assets. Agilent Technologies's long-term debt to total assests ratio for the quarter that ended in Jan. 2025 was 0.28.

Agilent Technologies's long-term debt to total assets ratio increased from Jan. 2024 (0.23) to Jan. 2025 (0.28). It may suggest that Agilent Technologies is progressively becoming more dependent on debt to grow their business.


Agilent Technologies LT-Debt-to-Total-Asset Historical Data

The historical data trend for Agilent Technologies's LT-Debt-to-Total-Asset 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.

Agilent Technologies LT-Debt-to-Total-Asset Chart

Agilent Technologies Annual Data
Trend Oct15 Oct16 Oct17 Oct18 Oct19 Oct20 Oct21 Oct22 Oct23 Oct24
LT-Debt-to-Total-Asset
Get a 7-Day Free Trial Premium Member Only Premium Member Only 0.24 0.26 0.26 0.25 0.28

Agilent Technologies Quarterly Data
Apr20 Jul20 Oct20 Jan21 Apr21 Jul21 Oct21 Jan22 Apr22 Jul22 Oct22 Jan23 Apr23 Jul23 Oct23 Jan24 Apr24 Jul24 Oct24 Jan25
LT-Debt-to-Total-Asset 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 0.23 0.20 0.19 0.28 0.28

Agilent Technologies LT-Debt-to-Total-Asset Calculation

Agilent Technologies's Long-Term Debt to Total Asset Ratio for the fiscal year that ended in Oct. 2024 is calculated as

LT Debt to Total Assets (A: Oct. 2024 )=Long-Term Debt & Capital Lease Obligation (A: Oct. 2024 )/Total Assets (A: Oct. 2024 )
=3345/11846
=0.28

Agilent Technologies's Long-Term Debt to Total Asset Ratio for the quarter that ended in Jan. 2025 is calculated as

LT Debt to Total Assets (Q: Jan. 2025 )=Long-Term Debt & Capital Lease Obligation (Q: Jan. 2025 )/Total Assets (Q: Jan. 2025 )
=3347/11914
=0.28

* 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.


Agilent Technologies  (LTS:0HAV) LT-Debt-to-Total-Asset Explanation

LT Debt to Total Asset is a measurement representing the percentage of a corporation's assets that are financed with loans and financial obligations lasting more than one year. The ratio provides a general measure of the financial position of a company, including its ability to meet financial requirements for outstanding loans. A year-over-year decrease in this metric would suggest the company is progressively becoming less dependent on debt to grow their business.


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Agilent Technologies Business Description

Address
5301 Stevens Creek Boulevard, Santa Clara, CA, USA, 95051
Originally spun out of Hewlett-Packard in 1999, Agilent has evolved into a leading life science and diagnostic firm. Today, Agilent's measurement technologies serve a broad base of customers with its three operating segments: life science and applied tools, cross lab consisting of consumables and services related to life science and applied tools, and diagnostics and genomics. Over half of its sales are generated from the biopharmaceutical, chemical, and advanced materials end markets, which we view as the stickiest end markets, but it also supports clinical lab, environmental, forensics, food, academic, and government-related organizations. The company is geographically diverse, with operations in the US and China representing the largest country concentrations.

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