ISO 9001 Certified in Valuation Advisory

ISO 9001 Certified in Valuation Advisory

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Unlocking the True Value of Your Brand: Valtech Valuation’s ISO 10668 Aligned Brand Valuation Services

July 13th, 2023|Business Valuation|

In today's fiercely competitive marketplace, brands are invaluable intangible assets that can make or break a business. Understanding the financial worth of a brand is crucial for strategic decision-making, mergers and acquisitions, and unlocking its full potential. At Valtech Valuation Advisory Limited, we offer brand valuation services that adhere to the rigorous standards set by ISO 10668, ensuring transparency, reliability, and accuracy in assessing brand value.

Valtech Demonstrated How Certified Public Accountants in Valuation Firm Can Enhance Reliability of ECL and Valuation

July 5th, 2023|About Valtech, Business Valuation, Careers, ECL Assessment|

Valtech Valuation ("Valtech"), a Hong Kong-based valuation firm, has recognised and demonstrated an increasingly pivotal role played by Certified Public Accountants ("CPAs") in ensuring full compliance with relevant statutory standards when preparing and reviewing expected credit loss (“ECL”) assessments and other valuations.

Valtech Valuation completes an equity interest valuation of a PRC real estate private company

June 20th, 2023|Business Valuation, Property Valuation|

Valtech’s team has completed an equity interest valuation of a PRC real estate company. Our client previously made a capital injection into a real estate company and obtained a minority stake of the company.

Common Problems and Deficiency in Expected Credit Loss Evaluation (ECL) ASC 326 IFRS 9

June 15th, 2023|Business Valuation, Financial Reporting IFRS HKFRS, IPO / Pre-IPO Case|

One common error in expected credit loss (ECL) evaluation is the failure to adequately consider forward-looking information. ECL estimation requires assessing not only historical data but also future expectations and economic conditions. Failing to incorporate forward-looking information can lead to an underestimation or overestimation of credit losses.

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