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Candel Therapeutics, Inc (CADL) Fair Value & Analysis

Healthcare · US · Market cap $592M

Price$9.08
Fair Value$3.19
Upside-64.9%
Quality95/100
Evidence: Low Range $2.39 – $3.99

Analysis

Candel Therapeutics, Inc (CADL) currently trades at $9.08, while our model-based Fair Value estimate is $3.19 — implying the stock looks roughly 64.9% overvalued today. We read business quality at 95/100 (high quality), in the Healthcare 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

Candel Therapeutics, Inc., a clinical stage biopharmaceutical company, develops immunotherapies for cancer patients. It develops CAN-2409, which is in Phase 2a clinical trials for the treatment of prostate cancer; and Phase 2a clinical trials for the treatment of non-small cell lung cancer (NSCLC). The company is also developing CAN-3110, which is in Phase Ib clinical trials for the treatment of recurrent high-grade glioma. In addition, it develops the enLIGHTEN Discovery Platform, a systematic, iterative herpes simplex virus based discovery platform leveraging human biology and advanced analytics to create new viral immunotherapy candidates for solid tumors. The company was formerly known as Advantagene, Inc. and changed its name to Candel Therapeutics, Inc. in November 2020. Candel Therapeutics, Inc. was incorporated in 2003 and is headquartered in Needham, Massachusetts.

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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.