Joint Stock Company (KSPI) Fair Value & Analysis
Technology · US · Market cap $15.6B
Analysis
Joint Stock Company (KSPI) currently trades at $85.80, while our model-based Fair Value estimate is $166.05 — implying the stock looks roughly 93.5% undervalued today. We read business quality at 94/100 (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
Joint Stock Company Kaspi.kz, together with its subsidiaries, provides payments, marketplace, and fintech solutions for consumers and merchants in Kazakhstan, Azerbaijan, and Ukraine. The company operates through three segments: Payments, Marketplace, and Fintech. The Payments segment offers a platform that facilities transactions between and among merchants and consumers. This segment provides ways for consumers to pay for shopping transactions and regular household bills, as well as make peer to peer payments; and enables merchants to accept payment online and in store, issue and settle invoices, pay suppliers, and monitor merchant turnover. It also offers proprietary data, which facilitates informed decision-making across multiple areas of business. Its Marketplace Platform segment connects both online and offline merchants with consumers, enabling merchants to increase sales through an omnichannel strategy and allowing consumers to purchase products and services from various mer…
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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.