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BlackRock Science and Technology Term Trust (BSTZ) Fair Value & Analysis

Financial Services · US · Market cap $2.1B

Price$29.35
Fair Value$34.97
Upside+19.1%
Quality95/100
Evidence: High Range $26.23 – $43.71

Fair value as of: Jun 25, 2026

Analysis

BlackRock Science and Technology Term Trust (BSTZ) currently trades at $29.35, while our model-based Fair Value estimate is $34.97 — implying the stock looks roughly 19.1% undervalued today. We read business quality at 95/100 (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: high) — always confirm before acting.

About the company

BlackRock Science and Technology Term Trust is a closed-ended equity mutual fund launched by BlackRock, Inc. The fund is managed by BlackRock Advisors, LLC. It invests in public equity markets across the globe. The fund seeks to invest in stocks of companies operating in the science and technology sectors. It primarily invests in growth stocks of companies across all market capitalizations. BlackRock Science and Technology Term Trust was formed in June 2019 and is domiciled in the United States.

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Frequently asked questions

Is BlackRock Science and Technology Term Trust (BSTZ) undervalued?
As of Jun 25, 2026, our model estimates a fair value of $34.97 versus a price of $29.35 — about +19% (undervalued). Model-based estimate, not financial advice.
What is the fair value of BSTZ?
Our 21-model fair value for BlackRock Science and Technology Term Trust is $34.97 (as of Jun 25, 2026), built from audited fundamentals. The current price is $29.35.
What is the quality score of BSTZ?
BlackRock Science and Technology Term Trust 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.