MIND C.T.I. Ltd (MNDO) Fair Value & Analysis
Technology · US · Market cap $19.3M
Fair value as of: Jun 25, 2026
Analysis
MIND C.T.I. Ltd (MNDO) currently trades at $1.01, while our model-based Fair Value estimate is $2.19 — implying the stock looks roughly 116.8% undervalued today. We read business quality at 95/100 (high quality), in the Technology sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: high) — always confirm before acting.
About the company
MIND C.T.I. Ltd., together with its subsidiaries, develops, manufactures, markets, sells, and implements billing and customer care software solutions in the Americas, Europe, Israel, the Asia Pacific, and Africa. It operates in two segments, Billing and Related Services, and Messaging. The company offers billing and customer care solutions that support various services, such as voice, data, and content services, as well as prepaid, postpaid, and pay-in-advance payment models in a single platform. Its solutions also include a workflow engine to support the implementation of business processes, including subscriber registration, order management, trouble ticket, and debt collection; and a point-of-sale solution that covers dealer, store and cashier management, and sales cycle related activities, as well as UC analytics solutions and call accounting systems. In addition, the company offers professional services comprising turnkey project delivery, customer support and maintenance, inte…
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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.