One Stop Systems's total inventories for the quarter that ended in Mar. 2024 was $21.48 Mil. One Stop Systems's average total inventories from the quarter that ended in Dec. 2023 to the quarter that ended in Mar. 2024 was $21.59 Mil.
In Ben Graham's calculation of Net-Net Working Capital, inventory is only considered worth half of its book value. One Stop Systems's Net-Net Working Capital per share for the quarter that ended in Mar. 2024 was $0.92.
Days Inventory indicates the number of days of goods in sales that a company has in the inventory.
One Stop Systems's Days Inventory for the
three
months ended in Mar. 2024 was 220.63.
Inventory Turnover measures how fast the company turns over its inventory within a year.
One Stop Systems's Inventory Turnover for the quarter that ended in Mar. 2024 was 0.41.
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.
One Stop Systems's Inventory-to-Revenue for the quarter that ended in Mar. 2024 was 1.71.
One Stop Systems Total Inventories Historical Data
The historical data trend for One Stop Systems'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.
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.
One Stop Systems (NAS:OSS) 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.
One Stop Systems's Net-Net Working Capital Per Share for the quarter that ended in Mar. 2024 is
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.
One Stop Systems's Inventory to Revenue for the quarter that ended in Mar. 2024 is calculated as
* 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.
One Stop Systems Total Inventories Related Terms
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One Stop Systems (One Stop Systems) Business Description
One Stop Systems Inc designs and manufactures innovative Artificial intelligence (AI) Transportable edge computing modules and systems, including ruggedized servers, compute accelerators, expansion systems, flash storage arrays and Ion Accelerator SAN, NAS and data recording software for AI workflows. These products are used for AI data set capture, training, and large-scale inference in the defense, oil and gas, mining, autonomous vehicles and rugged entertainment applications. The company enables AI on the Fly by bringing AI datacenter performance to the edge, especially on mobile platforms, and by addressing the entire AI workflow, from high-speed data acquisition to deep learning, training and inference. Its products are available directly or through global distributors.
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