Proactis SA (PROAC) Fair Value & Analysis
Technology · FR · Market cap €4.3M
Fair value as of: Jun 26, 2026
Analysis
Proactis SA (PROAC) currently trades at €0.0335, while our model-based Fair Value estimate is €0.0336 — implying the stock looks roughly 0.2% 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: high) — always confirm before acting.
About the company
Proactis SA provides cloud-based spend management solutions in France, Germany, the United Kingdom, the Unites States, and internationally. It offers source-to-pay, supplier relationship management, contract management, procure-to-pay, sourcing, and accounts payable automation software, as well as AI and marketplace. The company also provides professional services; application managed service; training; support services; integration of ERP, financial, and other supply chain systems; and invoice capture managed service. It serves housing, property and facilities management, not-for-profit, financial services, transport and logistics, public services, care providers, education, and professional services sectors. The company was formerly known as Hubwoo and changed its name to Proactis SA in January 2019. Proactis SA was incorporated in 1990 and is headquartered in Paris, France. The company operates as a subsidiary of Proactis Euro Hedgeco Limited.
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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.