Sidetrade SA (ALBFR) Fair Value & Analysis
Technology · FR · Market cap €237M
Fair value as of: Jun 24, 2026
Analysis
Sidetrade SA (ALBFR) currently trades at €162.60, while our model-based Fair Value estimate is €88.47 — implying the stock looks roughly 45.6% overvalued today. We read business quality at 95/100 (high quality), in the Technology sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: high).
About the company
Sidetrade SA operates as a SaaS company in France and internationally. The company offers Aimie, an artificial intelligence (AI)-powered order-to-cash (O2C) assistant; Aimie Agents, which are purpose-built for autonomous O2C executions; Customer Agents, which are customizable AI agents that automate and execute O2C processes; and Agent Builder Studio, an agentic O2C workflow automation. It also provides Augmented Cash, a cash and credit management software solution; Augmented Order, which automates sales order processing; Credit Risk Management, a credit management software for real-time credit risk decisions; Credit Risk Expert for AI-driven credit onboarding, decisioning, and risk exposure management; Augmented Invoice, which ensures invoicing automation directly from the ERP; and Cash Application for cash flow with AI-based payment and remittance matching. In addition, the company offers Augmented Collection, an AI-powered accounts receivable software; Sidetrade Payment Intellige…
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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.