This statistic highlights Applied Optoelectronics Long Lived Assets by Region, split between China, Taiwan and United States, from 2015 till the latest quarter.
Applied Optoelectronics, Inc. was founded in the year 1997. The company is involved in designing, manufacturing and providing an array of fiber optic network products. It has its headquarters in Sugar Land, Texas, United States. with its manufacturing, and research and development facilities located in the U.S., Taiwan, and China. The company caters to four types of networking end-markets viz., internet data center, cable television, telecommunications, and fiber-to-the-home. The development of the products produced by the company to serve these end-markets is done via a vertically integrated manufacturing model, i.e., the company undertakes the designing and manufacturing optical communications products, which are developed at various levels of integration, from components, subassemblies, and modules to complete turn-key equipment.
Long-lived assets of Applied Optoelectronics comprise of property, plant, equipment and intangible assets, as of the recent period. Property, plant and equipment portion of the assets include assets such as land improvements, building and improvements, machinery, computer equipment, etc., to name a few. Whereas the intangible assets comprise of land use rights, patents and trademarks owned by Applied Optoelectronics.
A substantial portion of the company’s property, plant and equipment is located in China and Taiwan. Also, as per the company’s official reports for the quarter ending September 2019, the company expects to make further investments in China in the foreseeable future. As of September 2019, about 37.5% of the total long-lived assets of the company were located in China.
Along with China, there is a higher concentration of assets in the United States as well (37% of the total long-lived assets as of September 2019). While 25.5% of these assets were located in Taiwan, as of September 2019.
Get access to more such granular datasets by registering for Free.