Operating Performance Analysis of H Company Based on the REVA Model Article Swipe
YOU?
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· 2025
· Open Access
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· DOI: https://doi.org/10.62051/ijgem.v7n3.20
Against the backdrop of digital transformation, the limitations of traditional financial indicators in valuing asset-light enterprises have become increasingly apparent. Taking H Company as the research subject, this paper introduces the Revised Economic Value Added (REVA) model. Through a comparative analysis of the core concepts and application differences between REVA, traditional analysis methods, and EVA, combined with its financial data from 2020 to 2024, the study reveals the cyclical fluctuation characteristics and structural contradictions in its operational performance. The research finds that H Company's REVA value exhibited an amplitude of 220% over the five-year period, exposing issues such as the high sensitivity of traditional securities businesses to market cycles, an imbalanced capital structure, and low efficiency in R&D conversion. While possessing advantages in areas like institutional client services and risk control capabilities, the company demonstrates insufficient resilience in value creation. The study proposes recommendations including optimizing the capital structure, reconstructing R&D efficiency, and establishing a full-cycle value management system, aiming to provide a reference for similar enterprises undergoing a transformation from scale expansion to value growth in the context of the registration-based IPO system.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.62051/ijgem.v7n3.20
- https://ijgem.org/index.php/ojs/article/download/125/124
- OA Status
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- Related Works
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- OpenAlex ID
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Raw OpenAlex JSON
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https://openalex.org/W4412775095Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.62051/ijgem.v7n3.20Digital Object Identifier
- Title
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Operating Performance Analysis of H Company Based on the REVA ModelWork title
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-07-29Full publication date if available
- Authors
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Jiaxuan Zheng, Yijun Chen, Tianjie ShiList of authors in order
- Landing page
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https://doi.org/10.62051/ijgem.v7n3.20Publisher landing page
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https://ijgem.org/index.php/ojs/article/download/125/124Direct link to full text PDF
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YesWhether a free full text is available
- OA status
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diamondOpen access status per OpenAlex
- OA URL
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https://ijgem.org/index.php/ojs/article/download/125/124Direct OA link when available
- Concepts
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Business, Computer scienceTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- Related works (count)
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10Other works algorithmically related by OpenAlex
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