Invesco Trust for Investment Grade New York Municipals (VTN) Fair Value & Analysis
Financial Services · US · Market cap $165M
Fair value as of: Jun 26, 2026
Analysis
Invesco Trust for Investment Grade New York Municipals (VTN) currently trades at $11.38, while our model-based Fair Value estimate is $6.79 — implying the stock looks roughly 40.3% overvalued today. We read business quality at 95/100 (high quality), in the Financial Services 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: high).
About the company
Invesco Trust for Investment Grade New York Municipals is a closed-ended fixed income mutual fund launched by Invesco Ltd. The fund is co-managed by Invesco Advisers, Inc., INVESCO Asset Management (Japan) Limited, INVESCO Asset Management Deutschland GmbH, INVESCO Asset Management Limited, Invesco Canada Ltd., Invesco Hong Kong Limited, and INVESCO Senior Secured Management, Inc. It invests in the fixed income markets of the United States. The fund primarily invests in investment grade New York municipal securities which include municipal bonds, municipal notes, municipal commercial paper, and lease obligations. It employs fundamental analysis with bottom-up security selection approach to create its portfolio. The fund was formerly known as Invesco Van Kampen Trust for Investment Grade New York Municipals. Invesco Trust for Investment Grade New York Municipals was formed on March 27, 1992 and is domiciled in the United States.
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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.