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SaveLend Group (YIELD) Fair Value & Analysis

Financial Services · SE · Market cap 106M SEK

Pricekr 1.68
Fair Valuekr 2.23
Upside+33.1%
Quality91/100
Evidence: Low Range kr 1.67 – kr 2.79

Fair value as of: Jun 24, 2026

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Analysis

SaveLend Group (YIELD) currently trades at kr 1.68, while our model-based Fair Value estimate is kr 2.23 — implying the stock looks roughly 33.1% undervalued today. We read business quality at 91/100 (high quality), in the Financial Services 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

SaveLend Group AB (publ), through its subsidiaries, operates as a fintech company in Sweden and Finland. The company offers SaveLend, a savings platform that enables savers to earn returns through savings in credit, such as corporate, real estate, and consumer credit; and Billecta, a billing platform that consists of invoicing system, including customer accounts, notifications, and financing solutions. SaveLend Group AB has startegic partnership with Nooga to implement Nooga Navigator, an AI-based platform for governance, risk, and compliance (GRC). SaveLend Group AB (publ) was founded in 2014 and is based in Stockholm, Sweden.

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Frequently asked questions

Is SaveLend Group (YIELD) undervalued?
As of Jun 24, 2026, our model estimates a fair value of kr 2.23 versus a price of kr 1.68 — about +33% (undervalued). Model-based estimate, not financial advice.
What is the fair value of YIELD?
Our 21-model fair value for SaveLend Group is kr 2.23 (as of Jun 24, 2026), built from audited fundamentals. The current price is kr 1.68.
What is the quality score of YIELD?
SaveLend Group has a Quality Score of 91/100, 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.