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Done.ai Group (TFSVF) Fair Value & Analysis

Technology · US · Market cap $84.1M

Price$0.9885
Fair Value$2.60
Upside+163.0%
Quality80/100
Evidence: Low Range $1.71 – $3.25

Fair value as of: Jun 25, 2026

Analysis

Done.ai Group (TFSVF) currently trades at $0.9885, while our model-based Fair Value estimate is $2.60 — implying the stock looks roughly 163.0% undervalued today. We read business quality at 80/100 (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

Done.ai Group AB provides delivering proprietary enterprise resource planning systems to small, medium, and large companies through cloud-based services and software as a service. It offers production and inventory, marketing, CRM, accounting system, financial services, and fintech solutions. The company has a collaboration with Fossefall AS to develop a GPU-as-a-Service platform. The company was formerly known as 24SevenOffice Group AB (publ) and changed its name to Done.ai Group AB in April 2025. Done.ai Group AB was founded in 1997 and is headquartered in Stockholm, Sweden.

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Frequently asked questions

Is Done.ai Group (TFSVF) undervalued?
As of Jun 25, 2026, our model estimates a fair value of $2.60 versus a price of $0.9885 — about +163% (undervalued). Model-based estimate, not financial advice.
What is the fair value of TFSVF?
Our 21-model fair value for Done.ai Group is $2.60 (as of Jun 25, 2026), built from audited fundamentals. The current price is $0.9885.
What is the quality score of TFSVF?
Done.ai Group has a Quality Score of 80/100, measuring profitability, growth and balance-sheet strength from non-valuation factors.

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.