Alfio Bardolla Training Group (ABTG) Fair Value & Analysis
Consumer Defensive · IT · Market cap €7.7M
Fair value as of: Jun 25, 2026
Analysis
Alfio Bardolla Training Group (ABTG) currently trades at €1.46, while our model-based Fair Value estimate is €4.00 — implying the stock looks roughly 174.0% undervalued today. We read business quality at 92/100 (high quality), in the Consumer Defensive 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
Alfio Bardolla Training Group S.p.A. operates as a personal financial training company in Italy. The company offers training courses in real estate, such as investing in real estate, real estate auctions, real estate excerpts, airbnb business, investing in Dubai, real estate marketing, and NPLs; real estate coaching services; and Real Estate Pro, a tool to find apartments at a discount or auction. It also provides training courses in trading, including forex trading, crypto trading, commodity spread trading, options trading, ETFs, and scalping; and forex trading diary, options trading diary, crypto trading diary, and commodity trading diary. In addition, the company offers business training courses comprising business revolution and second in command; and business and mindset coaching services. Further, it provides money mindset, color negotiation, and philosophy of money; Passion Money Planner; books related to mindset; and experiences. The company was founded in 2012 and is based …
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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.