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MillerKnoll stock rating reiterated at Outperform by William Blair

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MillerKnoll stock rating reiterated at Outperform by William Blair

MillerKnoll reported Q3 fiscal 2026 adjusted EPS of $0.43, missing the $0.45 forecast (‑4.44% surprise), and revenue of $926.6M vs $941.95M expected (‑1.63% miss). William Blair reiterated an Outperform, highlighted 12.8% order growth in North America contract business, sees improving leasing trends and expects a return to profitability this year; the stock trades at 7.2x William Blair's FY2027 EPS estimate with a potential to re-rate toward ~12x. Market cap is ~$1.04B and the company yields 3.87%; InvestingPro flags the stock as undervalued and William Blair calls the post‑report sell‑off a buying opportunity.

Analysis

Shifts in channel mix — a move toward scaled retail and away from legacy contract/distributor channels — is the clearest structural lever here. That transition should unlock fixed-cost absorption in distribution and marketing while increasing reliance on near-shore fulfillment and outsourced logistics; expect gross-margin tailwinds to emerge incrementally as retail density crosses breakeven in each region over 6–18 months. The biggest second-order beneficiaries are regional third‑party logistics providers and tooling/automation vendors that support smaller-batch, direct‑to-consumer furniture flows; conversely, national distributors and low‑value add contract assemblers face margin compression and order deflation. On the demand side, the company’s dependency on premium-class office leasing means revenue durability is tightly coupled to trophy office leasing trends — a concentrated recovery could look strong in order growth but still leave broad enterprise spend weak. Key risks are execution: footprint optimization requires capex and shutdowns that can depress near‑term EBITA, and savings assumptions are sensitive to freight and commodity cycles (foam/steel/wood) and to wage inflation in near-shore markets. Time arbitrage matters — sentiment can reprice the equity in days, but operational proof points (lane density, store-level profitability, factory utilization) will take 6–24 months. Against that backdrop, structure exposure to skew toward multi‑quarter optionality rather than binary single‑print outcomes.