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Bloomia Holdings (TULP) Fair Value & Analysis

Communication Services · US · Market cap $17.7M

Price$3.71
Fair Value$5.22
Upside+40.6%
Quality93/100
Evidence: Low Range $3.91 – $6.52

Fair value as of: Jun 24, 2026

Analysis

Bloomia Holdings (TULP) currently trades at $3.71, while our model-based Fair Value estimate is $5.22 — implying the stock looks roughly 40.6% undervalued today. We read business quality at 93/100 (high quality), in the Communication 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

Bloomia Holdings, Inc., a specialty agricultural company, through its subsidiaries, focuses on making and managing its agricultural investments in the United States and internationally. It produces and sells fresh-cut tulips. The company was formerly known as Lendway, Inc. and changed its name to Bloomia Holdings, Inc. in January 2026. Bloomia Holdings, Inc. was incorporated in 1990 and is headquartered in Minneapolis, Minnesota.

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Frequently asked questions

Is Bloomia Holdings (TULP) undervalued?
As of Jun 24, 2026, our model estimates a fair value of $5.22 versus a price of $3.71 — about +41% (undervalued). Model-based estimate, not financial advice.
What is the fair value of TULP?
Our 21-model fair value for Bloomia Holdings is $5.22 (as of Jun 24, 2026), built from audited fundamentals. The current price is $3.71.
What is the quality score of TULP?
Bloomia Holdings has a Quality Score of 93/100, 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.