Fairvalue-Calculator Fairvalue-Calculator
EN DE

RugVista Group (RUG) Fair Value & Analysis

Consumer Cyclical · SE · Market cap 1.2B SEK

Pricekr 61.00
Fair Valuekr 66.15
Upside+8.4%
Quality95/100
Evidence: High Range kr 47.65 – kr 82.69

Fair value as of: Jun 24, 2026

✦ Find undervalued quality stocks — 34,000+ analysed Find stocks →

Analysis

RugVista Group (RUG) currently trades at kr 61.00, while our model-based Fair Value estimate is kr 66.15 — implying the stock looks roughly 8.4% undervalued today. We read business quality at 95/100 (high quality), in the Consumer Cyclical 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

RugVista Group AB (publ) operates direct-to-consumer online platforms for carpet and rug sales in Sweden, Germany, Austria, Switzerland, and internationally. The company offers carpets and rugs under the RugVista and CarpetVista brands. It also provides rug accessories, including anti-slip articles and stain removers. The company was founded in 2005 and is headquartered in Malmö, Sweden.

Open the full interactive analysis →

Similar stocks

Frequently asked questions

Is RugVista Group (RUG) undervalued?
As of Jun 24, 2026, our model estimates a fair value of kr 66.15 versus a price of kr 61.00 — about +8% (undervalued). Model-based estimate, not financial advice.
What is the fair value of RUG?
Our 21-model fair value for RugVista Group is kr 66.15 (as of Jun 24, 2026), built from audited fundamentals. The current price is kr 61.00.
What is the quality score of RUG?
RugVista Group has a Quality Score of 95/100, 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.