AlphaStocks

MLKN vs TILE

As of Sep 20, 2026, Millerknoll (MLKN) scores 4.0/10 and Interface (TILE) 6.6/10 on AlphaStocks' five-model composite, so TILE scores higher. MLKN trades 25% below its model fair value; TILE trades 24% below its model fair value.

MLKN

MILLERKNOLL, INC.

4.0

Weak

$20.65

TILE

INTERFACE INC

6.6

Consider Buy

$34.30

MLKN vs TILE: Which is the Better Investment?

MILLERKNOLL, INC. (MLKN) scores 4.0/10 while INTERFACE INC (TILE) scores 6.6/10 on AlphaStocks' composite model. INTERFACE INC has the higher composite rating of Consider Buy. MILLERKNOLL, INC. trades further below its estimated fair value.

This comparison is algorithmically generated and is not financial advice.

MetricMLKNTILE
Scores & Fundamentals
Composite Score4.0/106.6/10
RatingWeakConsider Buy
Price$20.65$34.30
P/E Ratio17.5
ROE-2.9%18.4%
Market Cap$1B$2B
Fair Value$27.56$44.98
Dividend Yield3.7%
Sector Rank#184 of 265#21 of 265
Model Verdicts
PiotroskiAttractiveAttractive
BuffettCautionAttractive
GrahamNeutralNeutral
LynchNeutralNeutral
GreenblattCautionAttractive
View full MLKNanalysis →View full TILEanalysis →

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MLKN vs TILE: Which Stock Scores Higher?

MILLERKNOLL, INC. (MLKN) and INTERFACE INC (TILE) are both in the Industrials sector. TILE currently leads with a composite score of 6.6/10 (Consider Buy) compared to MLKN's 4.0/10 (Weak).

The AlphaStocks composite score evaluates each stock across four dimensions: Quality (business strength measured by Piotroski F-Score and Buffett quality criteria), Value (discount to intrinsic worth using Graham, Lynch, and Greenblatt models), Momentum (6-month price trend), and Timing (a confirmation signal that requires both value and momentum to align). A higher composite score indicates stronger overall fundamentals combined with favorable market conditions.

This comparison uses the same scoring framework for both companies, ensuring an apples-to-apples evaluation. Scores are recalculated daily after market close using data from SEC filings and market prices. Read the full methodology to understand how each model contributes to the composite score.

Scores are algorithm-generated research tools, not investment recommendations. Past performance does not guarantee future results. Always do your own due diligence. Full disclaimer