Short Balance Sheets

Short Balance (example)

Implisense Plus customers now have access to short balance sheets for up to 1 million companies – including a key figure trend.

From user feedback, we have learned of the additional need for more detailed financial ratios. Through the FinForSME project, Implisense already automatically imports published financial ratios from companies and recalculates the values from the assets and liabilities of the balance sheets to achieve a high plausibility of the ratios. The values from plausible balance sheet data can now be found in the respective company profiles as a short balance sheet.

The recalculated short balance sheet allows you to quickly check the economic situation of important customers and suppliers. If the company publishes the key figures in the annual financial statement, the key figures of the last two previous years are also listed and a key figure trend is shown.

Sample use cases

  • View free liquid assets at potential new customers and derive investment opportunities
  • Determine debt levels of key suppliers and establish early watch lists
  • View financial ratios of similar competitors and perform benchmarkings

The FinForSME project is co-financed by Investitionsbank Berlin-Brandenburg. Customers of Implisense Plus already benefit from the results of this project.

A license of Implisense Plus is required to view the more detailed data.

Do you have questions about the use? We look forward to hearing from you at hello@implisense.com

Big data analysis of financial indicators in SMEs

We are pleased that Investitionsbank Berlin-Brandenburg is funding the development of a big data analysis of financial indicators in the German SME sector. The project, which is designed to run for one year, is aimed at the automated collection and comparison of key financial figures with the goal of identifying unusually deviating financial figures. This should also simplify the work for those who rarely study balance sheets and need corresponding assistance to identify important changes with their customers, suppliers or competitors. The technical challenge is to identify relative outliers compared to similar companies. For this purpose, a solution based on in-memory databases is being developed to create several thousand peer groups based on industry, region, size and age of companies, which are then used to put the level of certain financial ratios (such as turnover or net profit) into perspective and to identify real outliers. In-memory databases allow these comparisons to be analysed in a much shorter time with significantly more key figures. The first results from this work are expected from Q3 2021. Interested parties can gain an early insight into the ongoing development.