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Magnera Corporation (MAGN) Fair Value & Analysis

Consumer Defensive · US · Market cap $434M

Price$12.05
Fair Value$33.59
Upside+178.8%
Quality95/100
Evidence: High Range $10.80 – $33.59

Fair value as of: Jun 25, 2026

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Analysis

Magnera Corporation (MAGN) currently trades at $12.05, while our model-based Fair Value estimate is $33.59 — implying the stock looks roughly 178.8% undervalued today. We read business quality at 95/100 (high quality), in the Consumer Defensive 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

Magnera Corporation manufactures and sells non-woven and related products worldwide. It sells its products primarily into consumer-oriented end markets, such as healthcare, and personal care. The company offers personal care and consumer solution products and components of products including medical garments, wipes, dryer sheets, filtration, baby diapers and adult incontinence. The company also offers tea bags, coffee filters, wipes, cable wrap, filtration, baby diapers and adult incontinence. The company is headquartered in Charlotte, North Carolina.

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Frequently asked questions

Is Magnera Corporation (MAGN) undervalued?
As of Jun 25, 2026, our model estimates a fair value of $33.59 versus a price of $12.05 — about +179% (undervalued). Model-based estimate, not financial advice.
What is the fair value of MAGN?
Our 21-model fair value for Magnera Corporation is $33.59 (as of Jun 25, 2026), built from audited fundamentals. The current price is $12.05.
What is the quality score of MAGN?
Magnera Corporation 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.