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New Bubbleroom Sweden AB (BBROOM) Fair Value & Analysis

Consumer Cyclical · SE · Market cap 121M SEK

Pricekr 9.85
Fair Valuekr 1.80
Upside-81.7%
Quality95/100
Evidence: Low Range kr 1.19 – kr 2.24

Fair value as of: Jun 25, 2026

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Analysis

New Bubbleroom Sweden AB (BBROOM) currently trades at kr 9.85, while our model-based Fair Value estimate is kr 1.80 — implying the stock looks roughly 81.7% overvalued today. We read business quality at 95/100 (high quality), in the Consumer Cyclical 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: low).

About the company

New Bubbleroom Sweden AB (publ) operates as an e-commerce store in women's fashion in the Nordic region and rest of Europe. The company engages in the design and sale of clothing, lingerie, shoes, and accessories. New Bubbleroom Sweden AB (publ) was founded in 2005 and is headquartered in Borås, Sweden.

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Frequently asked questions

Is New Bubbleroom Sweden AB (BBROOM) undervalued?
As of Jun 25, 2026, our model estimates a fair value of kr 1.80 versus a price of kr 9.85 — about −82% (overvalued). Model-based estimate, not financial advice.
What is the fair value of BBROOM?
Our 21-model fair value for New Bubbleroom Sweden AB is kr 1.80 (as of Jun 25, 2026), built from audited fundamentals. The current price is kr 9.85.
What is the quality score of BBROOM?
New Bubbleroom Sweden AB 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.