Gratifii Limited (GTI) Fair Value & Analysis
Technology · AU · Market cap A$17.4M
Fair value as of: Jun 26, 2026
Analysis
Gratifii Limited (GTI) currently trades at A$0.0290, while our model-based Fair Value estimate is A$0.0409 — implying the stock looks roughly 41.0% undervalued today. We read business quality at 92/100 (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: low) — always confirm before acting.
About the company
Gratifii Limited, together with its subsidiaries, engages in the rewards, loyalty, and incentive solutions business in Australia, New Zealand, South Africa, and Singapore. The company provides rewards and benefits services; loyalty engagement services, including the development and management of promotions, channel engagement, and incentive programs; and delivers incentive trips, learning, and networking conference events. It also offers travel and incentive programs, including event sourcing, booking of all travel requirements, budget management, delegate registration, and delegate concierge services, which encompass changes, updates, and queries. In addition, the company provides a travel handbook. Furthermore, it offers Mosaic and Club Connect, a software-as-a-service loyalty and rewards management platform. Additionally, the company provides promotion and campaign services, such as marketing, program and brand development, and graphic design services. It provides solutions for c…
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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.