Cloudera Stock

Cloudera PP&E per Employee

Delisted

The PP&E per Employee of Cloudera (CLDR) as of Sep 7, 2026 is 60,296.55 USD. In the previous year, PP&E per Employee was 83,075.51 USD — a change of -27.42% (lower).

PP&E per Employee

60,296.55USD

YoY

-27.42%

Last updated:

PP&E per Employee of Cloudera is 2026 60,296.55 USD. PP&E per Employee of Cloudera was 2025 83,075.51 USD. It decreases by -27.42% lower compared to the previous year.

The Cloudera PP&E per Employee history

  • 3 Years

  • 10 Years

  • 25 Years

  • Max

PP&E per Employee
Date
PP&E per Employee
Jan 1, 2016
4,722.14 USD
Jan 1, 2017
4,803.52 USD
Jan 1, 2018
6,451.61 USD
Jan 1, 2019
10,124.27 USD
Jan 1, 2020
83,075.51 USD
Jan 1, 2021
60,296.55 USD
The Cloudera PP&E per Employee history
YEARPP&E per EmployeeYoY
60,296.55USD-27.42%
83,075.51USD+720.56%
10,124.27USD+56.93%
6,451.61USD+34.31%
4,803.52USD+1.72%
4,722.14USD
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Cloudera Stock analysis

What does Cloudera do? Cloudera Inc. is a US-based company that was founded in 2008 as a start-up in Palo Alto, California. It is a leading provider of on-premises and cloud-based platforms for big data integration, analytics, and management services. Cloudera aims to support companies in their digital transformation by making operational data a strategic resource. Business Model: Cloudera offers an integrated IT solution for big data analytics. The company encompasses open-source software for data management and analysis, as well as security and governance. The platform is designed for companies that need to process their data on a large scale to keep up with growing data volumes. Cloudera serves both public and private sector clients. Different Areas: Cloudera offers various products and services for big data companies. The main applications include: - Cloudera Data Platform (CDP): An integrated platform for data management and analysis. The platform leverages the advantages of Hadoop and Spark to prepare, analyze, and store data. - Cloudera Data Science Workbench (CDSW): An integrated development environment (IDE) for data scientists developing big data machine learning models. The platform allows writing code, creating models, and quickly visualizing data. - Cloudera Enterprise Data Hub (EDH): A comprehensive data platform that enables aggregation and analysis of data from various sources. EDH is designed with a scalable architecture that leverages the benefits of Hadoop and Spark. Products: - Cloudera Dataflow (CDF): A platform for streaming data used for collecting, processing, and analyzing data from various sources. The platform utilizes Apache NiFi. - Cloudera SDX: A platform for security and governance that enables companies to protect, classify, and regulate data. - Cloudera Altus: A cloud-based platform for analyzing large volumes of data that enables companies to develop and deploy big data business applications quickly and easily. Conclusion: Cloudera has become one of the leading providers of big data platforms that assist companies in leveraging their data. With its ability to seamlessly integrate and analyze vast amounts of data from different sources, Cloudera will continue to play a crucial role in supporting companies in their digital transformation. Cloudera is one of the most popular companies on Eulerpool.

Frequently Asked Questions about Cloudera stock

PP&E per Employee of Cloudera is 60,296.55 USD in 2026.

PP&E per Employee of Cloudera changed from 83,075.51 USD to 60,296.55 USD, representing a -27.42% change. The value is lower than the previous year.

On Eulerpool you can find the complete historical development of PP&E per Employee Cloudera since 2006 – with annual values, charts, and detailed analysis.

PP&E per employee measures the physical capital intensity per worker. Higher values indicate more capital-intensive operations.

PP&E per Employee's USD is a key factor for investors. Changes in this metric can signal improving or deteriorating fundamentals, directly impacting the stock price. On Eulerpool, you can track PP&E per Employee's Cloudera historically and in real time.

Access this data via the Eulerpool API

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