Rosslyn Data Technologies

Rosslyn Data Technologies OCF Margin

The Operating Cash Flow Margin of Rosslyn Data Technologies (RDT.L) as of Nov 4, 2026 is -52.60 %. In the previous year, Operating Cash Flow Margin was -45.66 % — a change of 15.21% (lower).

OCF Margin

-52.60 %

YoY

15.21%

Last updated:

Operating Cash Flow Margin of Rosslyn Data Technologies is 2026 -52.60 % . Operating Cash Flow Margin of Rosslyn Data Technologies was 2025 -45.66 % . It decreases by 15.21% lower compared to the previous year.

The Rosslyn Data Technologies OCF Margin history

  • 3 Years

  • 10 Years

  • 25 Years

  • Max

OCF Margin
Date
OCF Margin
Jan 1, 2019
12.20 GBP
Jan 1, 2020
-9.93 GBP
Jan 1, 2021
-15.70 GBP
Jan 1, 2022
-81.47 GBP
Jan 1, 2023
-89.38 GBP
Jan 1, 2024
-77.26 GBP
Jan 1, 2025
-45.66 GBP
Jan 1, 2026
-52.60 GBP
The Rosslyn Data Technologies OCF Margin history
YEAROCF MarginYoY
-52.60 %+15.21%
-45.66 %-40.90%
-77.26 %-13.56%
-89.38 %+9.70%
-81.47 %+418.79%
-15.70 %+58.13%
-9.93 %-181.38%
12.20 %-125.37%
-48.10 %+8.55%
-44.31 %-39.81%
-73.61 %-47.33%
-139.76 %+12.57%
-124.15 %—

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Rosslyn Data Technologies Stock analysis

What does Rosslyn Data Technologies do? Rosslyn Data Technologies Plc provides data analytics services through its RAPid cloud analytics platform, designed for decision-makers. The platform extracts, combines, and synchronizes data from multiple sources using self-service tools for business users to automatically extract, integrate, transform, and enrich data. The company offers a suite of platforms including technology infrastructure, data factory, application center, and security, alongside solutions such as big data, finance, human resource, marketing, procurement, sales, SAP, and Microsoft solutions. Clients include enterprises requiring data-driven decision-making support across various business functions. Rosslyn targets enterprise clients seeking comprehensive data analytics capabilities, particularly in finance, human resources, marketing, procurement, and sales departments. The RAPid platform's self-service tools enable business users to handle data processing without IT dependency, appealing to organizations aiming to streamline operations. The company monetizes through licensing its RAPid platform and related solutions, with clients purchasing access to the cloud-based analytics suite and specialized modules tailored to their industry needs. The firm’s offerings span multiple sectors, including finance solutions for banking and financial services, human resource solutions for talent management, and marketing solutions for customer engagement. Procurement and sales solutions cater to supply chain and revenue optimization, while SAP and Microsoft solutions integrate with existing enterprise systems. Revenue is generated from enterprise contracts for the RAPid platform and its specialized modules, serving clients across diverse business functions requiring data analytics support. Rosslyn Data Technologies is one of the most popular companies on Eulerpool.

Frequently Asked Questions about Rosslyn Data Technologies stock

Operating Cash Flow Margin of Rosslyn Data Technologies is -52.60 % in 2026.

Operating Cash Flow Margin of Rosslyn Data Technologies changed from -45.66 % to -52.60 %, representing a 15.21% change. The value is lower than the previous year.

On Eulerpool you can find the complete historical development of Operating Cash Flow Margin Rosslyn Data Technologies since 2006 – with annual values, charts, and detailed analysis.

OCF margin measures the percentage of revenue converted into operating cash flow. It indicates cash generation efficiency from core business operations.

A 'good' varies by industry and company stage. On Eulerpool, you can compare Operating Cash Flow Margin's Rosslyn Data Technologies with sector peers and the industry average to assess whether it is attractive.

To evaluate Operating Cash Flow Margin's, it is essential to compare it with peers in the same industry and sector. On Eulerpool, you can find direct industry comparisons for Operating Cash Flow Margin.

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