MillerKnoll Stock Market Value
| MLKN Stock | USD 16.32 -0.06 -0.37% |
| Symbol | MillerKnoll |
Quarterly Earnings Growth -28.6% | Dividend Share 0.75 | Earnings Share 0.15 | Revenue Per Share | Quarterly Revenue Growth 5.8% |
Investors evaluate MillerKnoll using market value and book value, each describing different facets of the business. MillerKnoll's market capitalization is 1.12 billion. A P/B ratio of 0.84 suggests MillerKnoll trades near or below book value. Enterprise value (TTM) stands at 2.72 billion. The intrinsic value concept focuses on underlying worth, which can diverge from market price and book value.
For MillerKnoll, intrinsic value is a model-driven estimate while price is a market-driven observation. For MillerKnoll, key inputs include a P/E ratio of 19.32, a P/B ratio of 0.84, a profit margin of -1.1%, and ROE of -2.47%.
What-If Analysis
What-if analysis for MillerKnoll is essentially a historical sensitivity test that shows how changes in the investment horizon could have altered realized return, drawdown, and timing outcomes. Comparing realized return, risk, and path dependency instead of focusing only on the best historical outcome gives a more complete picture.
| 02/09/2026 |
| 05/10/2026 |
Opening a 0.00 position in MillerKnoll on February 9, 2026 and holding to today would realize 0.00 in aggregate gains. The net result is a 0.0% net return in MillerKnoll in aggregate over the 90 day window. MillerKnoll is grouped with peers such as Leggett Platt, La Z, American Woodmark, Carters, G III, SES AI, and ThredUp based on business similarity. MillerKnoll, Inc. researches, designs, manufactures, and distributes interior furnishings worldwide More
MillerKnoll Upside and Downside Indicators Summary
Recent price range behavior for MillerKnoll is summarized through upside and downside momentum indicators. The ratio of upside to downside range captures the prevailing momentum bias.
| Information Ratio | -0.09 | |||
| Maximum Drawdown | 28.15 | |||
| Value At Risk | -5.09 | |||
| Potential Upside | 3.78 |
MillerKnoll Volatility and Risk Indicators Overview
Market risk indicators summarize volatility and return dispersion for MillerKnoll. Maximum drawdown and recovery time capture the worst-case loss profile and how quickly the price rebounds.| Risk Adjusted Performance | -0.08 | |||
| Jensen Alpha | -0.35 | |||
| Total Risk Alpha | -0.26 | |||
| Treynor Ratio | -2.91 |
While mean reversion in MillerKnoll is a statistically observable tendency, it operates on uncertain timelines. Mean reversion signals in MillerKnoll's arise when prices disconnect from earnings, book value, or historical multiples. Mean reversion in MillerKnoll is more reliable over longer time horizons than shorter ones.
Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
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| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
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| Volume Indicators |
| Risk Adjusted Performance | -0.08 | |||
| Market Risk Adjusted Performance | -2.90 | |||
| Mean Deviation | 2.07 | |||
| Coefficient Of Variation | -1,073 | |||
| Standard Deviation | 3.69 | |||
| Variance | 13.61 | |||
| Information Ratio | -0.09 | |||
| Jensen Alpha | -0.35 | |||
| Total Risk Alpha | -0.26 | |||
| Treynor Ratio | -2.91 | |||
| Maximum Drawdown | 28.15 | |||
| Value At Risk | -5.09 | |||
| Potential Upside | 3.78 | |||
| Skewness | -3.29 | |||
| Kurtosis | 19.16 |
MillerKnoll Backtested Returns
MillerKnoll carries a low volatility profile across the measured period. It shows a risk-adjusted return measure of -0.1, signaling negative dispersion-adjusted returns across 3 months. Quantitative evaluation found twenty-three metrics shaping volatility behavior. Please analyze metrics such as mean deviation of 2.07, risk-adjusted performance of -0.08, and standard deviation of 3.69 to evaluate risk-adjusted performance metrics. The company has a market beta of 0.12, which conveys very low measured sensitivity to broad market movements. Returns on MillerKnoll tend to trail the broader market in strong rallies but hold up better when sentiment turns negative. At this point, MillerKnoll has a negative expected return of -0.38%.
Auto-correlation | -0.65 |
Very good reverse predictability
MillerKnoll shows very good reverse predictability when comparing price series from 9th of February 2026 to 26th of March 2026 against from 26th of March 2026 to 10th of May 2026. A strong serial relationship would imply that MillerKnoll's recent trajectory contains information about its near-term direction. With a serial correlation of -0.65, roughly 65.0% of MillerKnoll's price variation is attributable to patterns in preceding intervals. Given that MillerKnoll has negative autocorrelation for the selected time horizon, market participants may evaluate potential contrarian price behavior over comparable future intervals.
| Correlation Coefficient | -0.65 | |
| Spearman Rank Test | -0.61 | |
| Residual Average | 0.0 | |
| Price Variance | 1.15 |
Pair Trading with MillerKnoll
Pair analysis provides a framework for evaluating relative performance between MillerKnoll and comparable securities. The advantage is that adverse movement in one leg may be partly offset by the other when correlation and thesis alignment hold.
Diversification Candidates
Pair CorrelationCorrelation Matching
| 0.68 | GEO | Geo Group Earnings Call This Week | PairCorr |
| 0.67 | CXW | CoreCivic | PairCorr |
| 0.64 | AXR | AMREP | PairCorr |
| 0.56 | EBF | Ennis Inc | PairCorr |
| 0.45 | PBI | Pitney Bowes | PairCorr |
Correlation matrices help investors optimize their MillerKnoll tax-loss harvesting strategy. The higher the correlation to MillerKnoll, the less the portfolio's risk profile shifts during the wait. Identifying correlated replacements for MillerKnoll is particularly important in concentrated portfolios.
Rolling correlation analysis for MillerKnoll shows how its relationship with other instruments evolves. High correlations between MillerKnoll and another holding indicate concentrated risk that may amplify losses. Correlation is not causation, but for MillerKnoll it is a practical tool for flagging concentrated exposure.
MillerKnoll's hedging context can be framed through Correlation analysis and pair-based evaluation. Sector-level and cross-sector pair comparisons both contribute to hedging context.