Orangekloud Technology Inc (ORKT) Fair Value & Analysis
Technology · US · Market cap $7.4M
Fair value as of: Jun 25, 2026
Analysis
Orangekloud Technology Inc (ORKT) currently trades at $1.28, while our model-based Fair Value estimate is $0.4700 — implying the stock looks roughly 63.3% 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: low).
About the company
Orangekloud Technology Inc., through its subsidiaries, provides IT consultancy services and related products and services in Singapore, Malaysia, and the United States. The company operates through Packaged Software Solutions; and No-Code Platform and Mobile Application segments. It offers eMOBIQ platform, a No-Code rapid mobile application development platform for SMEs and organizations to design, build, and implement enterprise-grade custom applications with no coding required. The company also provides consulting, customizing, implementing, sales, and after-sales support services for Microsoft dynamics enterprise resource planning system, and information technology consultancy services. In addition, it operates OK365, a web portal solution that offers an intermediary platform for customers to collect data from their end customers and perform operational tasks before uploading the final data back to the backend system. Further, the company provides project implementation services,…
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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.