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Oxford Nanopore Technologies (LSE:ONT) Total Inventories : £101.5 Mil (As of Dec. 2023)


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What is Oxford Nanopore Technologies Total Inventories?

Oxford Nanopore Technologies's total inventories for the quarter that ended in Dec. 2023 was £101.5 Mil. Oxford Nanopore Technologies's average total inventories from the quarter that ended in Jun. 2023 to the quarter that ended in Dec. 2023 was £102.2 Mil.

In Ben Graham's calculation of Net-Net Working Capital, inventory is only considered worth half of its book value. Oxford Nanopore Technologies's Net-Net Working Capital per share for the quarter that ended in Dec. 2023 was £0.25.

Days Inventory indicates the number of days of goods in sales that a company has in the inventory. Oxford Nanopore Technologies's Days Inventory for the six months ended in Dec. 2023 was 436.66.

Inventory Turnover measures how fast the company turns over its inventory within a year. Oxford Nanopore Technologies's Inventory Turnover for the quarter that ended in Dec. 2023 was 0.42.

Inventory-to-Revenue determines the ability of a company to manage their inventory levels. It measures the percentage of Inventories the company currently has on hand to support the current amount of Revenue. Oxford Nanopore Technologies's Inventory-to-Revenue for the quarter that ended in Dec. 2023 was 1.22.


Oxford Nanopore Technologies Total Inventories Historical Data

The historical data trend for Oxford Nanopore Technologies's Total Inventories 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 Total Inventories Chart

Oxford Nanopore Technologies Annual Data
Trend Dec18 Dec19 Dec20 Dec21 Dec22 Dec23
Total Inventories
Get a 7-Day Free Trial 20.03 35.63 63.07 87.70 101.55

Oxford Nanopore Technologies Semi-Annual Data
Dec18 Dec19 Jun20 Dec20 Jun21 Dec21 Jun22 Dec22 Jun23 Dec23
Total Inventories Get a 7-Day Free Trial Premium Member Only Premium Member Only 63.07 73.10 87.70 102.94 101.55

Oxford Nanopore Technologies Total Inventories Calculation

Total Inventories includes the raw materials, work-in-process goods and completely finished goods of a company. It is a portion of a company's current assets.


Oxford Nanopore Technologies  (LSE:ONT) Total Inventories Explanation

Inventory control is an important part of business operation. If a company does not have enough inventory, it may not be able to meet customers' required delivery time. If it has too much inventory, the cost of holding the inventory can be high.

1. In Ben Graham's calculation of Net-Net Working Capital (NNWC), inventory is only considered worth half of its book value.

Oxford Nanopore Technologies's Net-Net Working Capital Per Share for the quarter that ended in Dec. 2023 is

Net-Net Working Capital Per Share (Q: Dec. 2023 )
=(Cash And Cash Equivalents+0.75 * Accounts Receivable+0.5 * Total Inventories-Total Liabilities
-Preferred Stock-Minority Interest)/Shares Outstanding (EOP)
=(270.05+0.75 * 33.626+0.5 * 101.548-133.211
-0-0)/859.224
=0.25

2. Days Inventory indicates the number of days of goods in sales that a company has in the inventory.

Oxford Nanopore Technologies's Days Inventory for the six months ended in Dec. 2023 is calculated as:

Days Inventory=Average Total Inventories (Q: Dec. 2023 )/Cost of Goods Sold (Q: Dec. 2023 )*Days in Period
=102.2435/42.732*365 / 2
=436.66

3. Inventory Turnover measures how fast the company turns over its inventory within a year.

Oxford Nanopore Technologies's Inventory Turnover for the quarter that ended in Dec. 2023 is calculated as

Inventory Turnover=Cost of Goods Sold (Q: Dec. 2023 ) / Average Total Inventories (Q: Dec. 2023 )
=42.732 / 102.2435
=0.42

4. Inventory-to-Revenue determines the ability of a company to manage their inventory levels. It measures the percentage of Inventories the company currently has on hand to support the current amount of Revenue.

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

Inventory-to-Revenue=Average Total Inventories (Q: Dec. 2023 ) / Revenue (Q: Dec. 2023 )
=102.2435 / 83.666
=1.22

* 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.


Be Aware

Manufacturers with durable competitive advantages have the advantage that the products they sell do not change, and therefore will never become obsolete. Buffett likes this advantage.

When identifying manufacturers with durable competitive advantage, look for inventory and net earnings that rise correspondingly. This indicates that the company is finding profitable ways to increase sales which called for an increase in inventory.

Manufacturers with inventories that spike up and down are indicative of competitive industries subject to boom and bust.


Oxford Nanopore Technologies Total Inventories Related Terms

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Oxford Nanopore Technologies (LSE:ONT) Business Description

Traded in Other Exchanges
Address
Edmund Halley Road, Gosling Building, Oxford Science Park, Oxford, Oxfordshire, GBR, OX44DQ
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.

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