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AvePoint, Inc (AVPT) Fair Value & Analysis

Technology · US · Market cap $2.4B

Price$10.31
Fair Value$4.25
Upside-58.8%
Quality95/100
Evidence: High Range $3.64 – $4.86

Analysis

AvePoint, Inc (AVPT) currently trades at $10.31, while our model-based Fair Value estimate is $4.25 — implying the stock looks roughly 58.8% overvalued today. We read business quality at 95/100 (high quality), in the Technology sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: high).

About the company

AvePoint, Inc. provides cloud-native data management software platform in North America, Europe, the Middle East, Africa, and the Asia Pacific. It also provides platform-as-a-service architecture to address critical operational challenges and the management of data to organizations that leverage third-party cloud vendors, including Microsoft, Salesforce, Google, AWS, Box, DropBox, and others; license and support; and maintenance services. Further, it provides AvePoint confidence platform including control suite, automates data governance, enforces policies, and optimizes SaaS investments, enables expense management and reduction, and provides insight into access, risk, and entitlements across collaborative platforms; resilience suite, that supports business continuity and compliance through Backup-as-a-Service, ransomware recovery, lifecycle management, and classification-driven protection; and modernization suite, that modernizes legacy systems and processes into AI-ready, SaaS-bas…

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How we calculate Fair Value

Each company is valued through a stack of independent intrinsic-value models (DCF variants, residual-income, multiples and more), blended into one family-balanced consensus and weighted by how much trustworthy data backs it. A separate quality layer scores the fundamentals. Every input is real reported data — nothing guessed.

Educational research only · not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.