Research on Data Asset Valuation of Liquor Enterprises under the Background of Digital Transformation: A Case Study of Luzhou Laojiao

Abstract

Given the intangible and uncertain nature of data assets, their valuation remains in an exploratory stage, and a unified, objective regulatory framework has yet to be established. Based on the traditional Multi-period Excess Earnings Method (MEEM), this study fully considers the unique attributes of data assets and incorporates the logic of the Residual Method to deconstruct and analyze value components, thereby constructing a data asset valuation model suitable for enterprises undergoing digital transformation. Taking Luzhou Laojiao, a representative enterprise in the digital transformation of the liquor industry, as the case study, this research forecasts its excess earnings from 2024 to 2028 and discounts them to the valuation base date. The final calculated value of the company's data assets is approximately 5.72 billion RMB. The results indicate that by clearly distinguishing the discount rates of data assets from other intangible assets, this model can more accurately calculate the excess earnings contributed specifically by data assets. This provides a methodological reference for the valuation of data assets in liquor enterprises and holds positive significance for promoting the transaction, circulation, and optimized management of data assets.