Sylogist Ltd (SYZLF) Fair Value & Analysis
Technology · US · Market cap $60.8M
Fair value as of: Jun 24, 2026
Analysis
Sylogist Ltd (SYZLF) currently trades at $2.61, while our model-based Fair Value estimate is $2.71 — implying the stock looks roughly 3.8% 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: medium) — always confirm before acting.
About the company
Sylogist Ltd., a software company, provides mission-critical software-as-a-service solutions to public sector customers in Canada, the United States, the United Kingdom, and internationally. The company offers SylogistMission platform, including CRM system, donor management; online fundraising; and volunteer, event, program, and campaign management, as well as ERP system, such as fund accounting; core financial tools; human resource and personal management; and automation, analytical, and reporting. It also provides SylogistEd platform comprising accounts payable and purchase requisition, payroll, personnel and employee portal, personnel and employee portal, employee document management, treasurer, time management, warehouse, fixed assets, and activity funds; and student information system, which includes student information, gradebook, lunchroom, guardian and student portals, student records portals, document management, and payment processing. In addition, the company offers Sylog…
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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.