Data Applications Co

Data Applications Co Revenue per Employee

The Revenue per Employee of Data Applications Co (3848.T) as of Nov 7, 2026 is 33.25 M JPY. In the previous year, Revenue per Employee was 20.05 M JPY — a change of 65.79% (higher).

Revenue per Employee

33.25 MJPY

YoY

65.79%

Last updated:

Revenue per Employee of Data Applications Co is 2026 33.25 M JPY. Revenue per Employee of Data Applications Co was 2025 20.05 M JPY. It decreases by 65.79% higher compared to the previous year.

The Data Applications Co Revenue per Employee history

  • 3 Years

  • 10 Years

  • 25 Years

  • Max

Revenue per Employee
Date
Revenue per Employee
Jan 1, 2019
17.80 M JPY
Jan 1, 2020
16.53 M JPY
Jan 1, 2021
15.57 M JPY
Jan 1, 2022
17.70 M JPY
Jan 1, 2023
19.20 M JPY
Jan 1, 2024
22.45 M JPY
Jan 1, 2025
20.05 M JPY
Jan 1, 2026
33.25 M JPY
The Data Applications Co Revenue per Employee history
YEARRevenue per EmployeeYoY
33.25 MJPY+65.79%
20.05 MJPY-10.69%
22.45 MJPY+16.93%
19.20 MJPY+8.47%
17.70 MJPY+13.68%
15.57 MJPY-5.78%
16.53 MJPY-7.17%
17.80 MJPY+4.04%
17.11 MJPY-8.30%
18.66 MJPY+5.87%
17.63 MJPY+11.87%
15.76 MJPY+10.98%
14.20 MJPY—

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Data Applications Co Stock analysis

What does Data Applications Co do? Data Applications Co., Ltd. generates revenue through the development, sale, and maintenance of middleware solutions for inter-company data exchange and enterprise application integration. The company's core products include the enterprise data linkage platform ACMS Apex, the integrated electronic data interchange (EDI) server ACMS B2B, EDI clients ACMS Lite Neo and ACMS/WS, and the Web-EDI system platform ACMS Web Framer, file exchange ACMS Web/deTrade II, and other related software. These products are sold to businesses requiring efficient data exchange and integration across enterprise applications, primarily targeting companies that rely on data exchange middleware to support their business processes. The firm operates exclusively within the Software-related segment, focusing on providing basic software products and related services for enterprise data management. The company's revenue streams are derived from the sale of its middleware products and the provision of introduction and operation services for these software solutions. Customers include businesses that use ACMS Apex, ACMS B2B, ACMS Lite Neo, ACMS/WS, ACMS Web Framer, and ACMS Web/deTrade II to streamline their data exchange processes. The firm's offerings are designed to support business processes centered on data exchange middleware, with a focus on enterprise application integration and efficient data linkage across organizational systems. Data Applications Co., Ltd. maintains a dedicated workforce of 130 full-time employees to develop and support its software products. The company's business model centers on delivering middleware solutions that enable seamless data exchange between enterprise applications, with its primary customers being businesses that require robust data integration capabilities. The firm's products are specifically tailored for environments where data exchange middleware is critical to operational efficiency. Data Applications Co is one of the most popular companies on Eulerpool.

Frequently Asked Questions about Data Applications Co stock

Revenue per Employee of Data Applications Co is 33.25 M JPY in 2026.

Revenue per Employee of Data Applications Co changed from 20.05 M JPY to 33.25 M JPY, representing a 65.79% change. The value is higher than the previous year.

On Eulerpool you can find the complete historical development of Revenue per Employee Data Applications Co since 2006 – with annual values, charts, and detailed analysis.

Revenue per employee measures workforce productivity by dividing total revenue by the number of employees. Higher values indicate more efficient operations.

Revenue per Employee's JPY 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 Revenue per Employee's Data Applications Co historically and in real time.

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