Jumbo Interactive Limited (JIN) Fair Value & Analysis
Consumer Cyclical · AU · Market cap A$460M
Fair value as of: Jun 24, 2026
Analysis
Jumbo Interactive Limited (JIN) currently trades at A$7.32, while our model-based Fair Value estimate is A$13.77 — implying the stock looks roughly 88.1% undervalued today. We read business quality at 95/100 (high quality), in the Consumer Cyclical 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
Jumbo Interactive Limited engages in the retail of lottery tickets through the internet and mobile devices in Australia, the United Kingdom, Canada, Fiji, and internationally. It operates through three segments: Lottery Retailing, Software-as-a-Service, and Managed Services. The company is involved in the retail of digital lottery tickets through Oz Lotteries; and lottery management services, including prize procurement, lottery game design, campaign marketing, and customer relationship and draw management services to businesses and charities. It also licenses Jumbo lottery platform as a solution to government and charity lottery operators; and provides turnkey digital lottery solutions to schools. The company was incorporated in 1986 and is based in Milton, Australia.
Open the full interactive analysis →
Similar stocks
Frequently asked questions
Is Jumbo Interactive Limited (JIN) undervalued?
What is the fair value of JIN?
What is the quality score of JIN?
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.