Oxford Nanopore Technologies (Oxford Nanopore Technologies) COGS-to-Revenue : 0.51 (As of Dec. 2023)

View and export this data going back to 2021. Start your Free Trial

What is Oxford Nanopore Technologies COGS-to-Revenue?

Oxford Nanopore Technologies's Cost of Goods Sold for the six months ended in Dec. 2023 was $54.1 Mil. Its Revenue for the six months ended in Dec. 2023 was $105.9 Mil.

Oxford Nanopore Technologies's COGS to Revenue for the six months ended in Dec. 2023 was 0.51.

Cost of Goods Sold is directly linked to profitability of the company through Gross Margin. Oxford Nanopore Technologies's Gross Margin % for the six months ended in Dec. 2023 was 48.93%.

Oxford Nanopore Technologies COGS-to-Revenue Historical Data

The historical data trend for Oxford Nanopore Technologies's COGS-to-Revenue 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.

Oxford Nanopore Technologies COGS-to-Revenue Chart

Oxford Nanopore Technologies Annual Data

Trend

Dec18

Dec19

Dec20

Dec21

Dec22

Dec23

COGS-to-Revenue

Get a 7-Day Free Trial

0.51

0.59

0.45

0.38

0.47

Oxford Nanopore Technologies Semi-Annual Data
	Dec18	Dec19	Jun20	Dec20	Jun21	Dec21	Jun22	Dec22	Jun23	Dec23
COGS-to-Revenue	Get a 7-Day Free Trial					0.42	0.36	0.40	0.42	0.51

Oxford Nanopore Technologies COGS-to-Revenue Calculation

Oxford Nanopore Technologies's COGS to Revenue for the fiscal year that ended in Dec. 2023 is calculated as

COGS to Revenue	=	Cost of Goods Sold	/	Revenue
	=	100.237	/	214.77
	=	0.47

Oxford Nanopore Technologies's COGS to Revenue for the quarter that ended in Dec. 2023 is calculated as

COGS to Revenue	=	Cost of Goods Sold	/	Revenue
	=	54.091	/	105.906
	=	0.51

Oxford Nanopore Technologies (OTCPK:ONTTF) COGS-to-Revenue Explanation

Cost of Goods Sold is directly linked to profitability of the company through Gross Margin.

Oxford Nanopore Technologies's Gross Margin % for the six months ended in Dec. 2023 is calculated as:

Gross Margin %	=	1	-	COGS to Revenue
	=	1	-	Cost of Goods Sold / Revenue
	=	1	-	54.091 / 105.906
	=	48.93 %

A company that has a moat can usually maintain or even expand their Gross Margin. A company can increase its Gross Margin in two ways. It can increase the prices of the goods it sells and keeps its Cost of Goods Sold unchanged. Or it can keep the sales price unchanged and squeeze its suppliers to reduce the Cost of Goods Sold. Warren Buffett believes businesses with the power to raise prices have moats.

Oxford Nanopore Technologies COGS-to-Revenue Related Terms

Thank you for viewing the detailed overview of Oxford Nanopore Technologies's COGS-to-Revenue provided by GuruFocus.com. Please click on the following links to see related term pages.

Oxford Nanopore Technologies (Oxford Nanopore Technologies) Business Description

Industry

GURUFOCUS.COM » STOCK LIST » Healthcare » Biotechnology » Oxford Nanopore Technologies PLC (OTCPK:ONTTF) » Definitions » COGS-to-Revenue

Comparable Companies

Traded in Other Exchanges

ONTl:UK ONT:UK 4R0:Germany

Address

Edmund Halley Road, Gosling Building, Oxford Science Park, Oxford, Oxfordshire, GBR, OX44DQ

Website

https://www.nanoporetech.com

Oxford Nanopore Technologies PLC makes a novel generation of DNA/RNA sequencing technology that provides rich data and is fast, accessible, and easy to use. The Group is primarily involved in researching, developing, manufacturing, and commercializing the world's only commercial nanopore-based sequencing platform that allows the real-time analysis of deoxyribonucleic acid (DNA) or ribonucleic acid (RNA). This enables our customers to perform scientific/biomedical research in a range of areas, including human genetics, cancer research, outbreak surveillance, environmental analysis, pathogens/antimicrobial resistance, microbiome analysis, and crop science.