OpenLearning Limited (OLL) Fair Value & Analysis
Technology · AU · Market cap A$15.6M
Fair value as of: Jun 26, 2026
Analysis
OpenLearning Limited (OLL) currently trades at A$0.0170, while our model-based Fair Value estimate is A$0.0182 — implying the stock looks roughly 7.0% 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: low) — always confirm before acting.
About the company
OpenLearning Limited, together with its subsidiaries, operates online learning platforms for educators and institutions in Australia, Malaysia, and Singapore. The company offers a suite of tools for online learning, course creation, and delivery, catering to education providers, universities, and training institutions. Its learning management system (LMS) platforms comprise OpenLearning LMS, an end-to-end learning platform that enables institutions to design, market, deliver, and manage online courses, micro-credentials, and degrees; CourseMagic.ai, an AI-driven instructional design tool that provides educators with automated course-building features and integration with Canvas, Blackboard, and Moodle platforms; and Biomedical Education and Skills Testing Network, a specialized teaching platform with virtual microscopy capabilities for biomedical education. The company also provides student acquisition and course discovery solutions through OpenLearning Marketplace, an education mar…
Open the full interactive analysis →
Similar stocks
Frequently asked questions
Is OpenLearning Limited (OLL) undervalued?
What is the fair value of OLL?
What is the quality score of OLL?
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.