Sherwin-Williams (SHW) In-Depth Stock Report
The largest U.S. paint and coatings company with a vertically integrated store network, priced on repaint demand and margin recovery.
Investment Summary
Every headline number this report produces, collected in one place before the analysis that derives them. All figures are computed live at page load, so this block reflects the market as of the moment you opened the page.
- Store expansion adds growth.
- Pricing and mix improve margins.
- Housing turnover recovers.
- Raw material costs ease.
- Sherwin-Williams is the largest U.S. paint and coatings company.
- Its store network and pro relationships form a moat.
- Housing and raw materials are the main risks.
- Same-store sales and gross margin are the key numbers.
- Sherwin-Williams makes and sells paint, coatings, and related products through its own stores and other channels.
- The Paint Stores Group is the core, serving professional painters and contractors through company-owned stores.
- The Consumer Brands Group sells through retailers like Lowe's, and Performance Coatings serves industrial customers.
- Repaint demand is more stable than new construction, and the professional customer base is loyal.
- The equity debate is how housing weakness, raw material costs, and pricing affect margins and growth.
Executive Summary
Sherwin-Williams' owned store network sits close to professional painters and offers color matching, credit, and delivery.
That service model creates loyalty and pricing power that pure retail channels struggle to match.
Most demand comes from repainting existing structures, which is less cyclical than new construction.
Raw materials such as titanium dioxide and resins drive costs, with pricing used to offset changes.
The realistic thesis: a high-quality compounder with a strong distribution moat, priced at a premium multiple, where results follow housing turnover and cost trends.
Industry & Market Backdrop
The broader competitive and macro environment SHW operates in — context a pure valuation table can't convey on its own.
Housing turnover and remodeling drive residential demand.
Commercial and industrial coatings follow construction and manufacturing activity.
Raw material prices influence margins with a lag.
Pros favor suppliers that offer reliable product, service, and delivery.
Acquisitions consolidate a fragmented industry.
Live Key Statistics
Pulled live from BriMindInvest's market-data pipeline at page load — the same feed that powers /analysis/SHW. Fields the pipeline doesn't return this load are omitted rather than shown blank.
Business Overview
The Americas Group with company-owned paint stores.
Consumer Brands sold through retailers.
Performance Coatings for industrial customers.
Global operations with a strong U.S. base.
Segment Deep Dive
A closer look at each reporting segment individually, rather than treating the business as a single undifferentiated revenue line.
The largest and most profitable segment, serving professional painters. Store additions and pricing support growth.
Sells brands through home improvement and other retailers. It is more exposed to DIY demand.
Serves industrial, protective, and packaging markets. It follows industrial production and global demand.
Capital Allocation & Balance Sheet Philosophy
How management has historically chosen to deploy cash — buybacks, dividends, R&D, and acquisitions — and what that reveals about capital discipline.
The company pays a growing dividend and repurchases shares.
Capital expenditure supports new stores and manufacturing.
Acquisitions have expanded capabilities and market presence.
Leverage is moderate.
Management & Governance
Leadership, incentive alignment, and governance structure — factors that shape execution risk independent of the underlying business model.
Leadership focuses on long-term growth through stores and service.
Management sets targets for margins and returns.
Governance is conventional; review the proxy for details.
Balancing pricing with volume is a key task.
See exactly how we get SHW's fair-value range
| Method | Relevance | Implied Value |
|---|---|---|
| Our DCF Model | High | |
| Our P/E Based | Medium | |
| Our Book Value Based | Medium | |
| Graham Number | Medium | |
| PEG Ratio Based | Low | |
| ROIC Based | Medium | |
| FCF Yield Based | High |
Forecast Revenue and Free Cash Flow
5-Year Monte Carlo Simulation
Included with a subscription or a one-time purchase of this Sherwin-Williams report:
- Fair value from 7 methods, weighted by relevance to this business
- 5-year financial forecast and DCF/earnings sensitivity grids
- Decomposed AI Score, Monte Carlo simulation, and institutional/analyst data
$3.99 is less than one bad options trade — see the model before you commit real money. And it goes straight to the small team building this, not a hedge fund's marketing budget.
Bull Case vs. Bear Case
- Store expansion adds growth.
- Pricing and mix improve margins.
- Housing turnover recovers.
- Raw material costs ease.
- Capital return continues.
- Housing stays weak.
- Raw material costs rise.
- Pros shift to competitors.
- Consumer demand weakens.
- Industrial slowdown hits coatings.
Related Reports
In-depth reports for other names in Sherwin-Williams's comparable set.
4 catalysts and 4 risks we're tracking for SHW
| Catalyst | Expected Impact | Timeframe |
|---|---|---|
Included with a subscription or a one-time purchase of this Sherwin-Williams report:
- Catalyst list, each tagged with expected impact and timing
- Risk register scored by probability and severity
- 4 key metrics to watch before the next earnings report
$3.99 is less than one bad options trade — see the model before you commit real money. And it goes straight to the small team building this, not a hedge fund's marketing budget.
What Would Change Our Mind?
Specific, falsifiable triggers — not vague sentiment — that would move us toward or away from the bull case above.
- Margins recover to prior highs
- Store network keeps adding share
- Housing turnover rebounds
- Housing weakness persists
- Raw material costs rise again
- Pricing power fades
Competitive Positioning
Sherwin-Williams's moat is its store network, brand, and pro relationships.
PPG, Behr through Home Depot, Benjamin Moore, and Valspar-related brands compete.
Pros value color consistency and availability.
The vulnerability is housing cyclicality and channel competition.
Investor Decision Framework
A process for using this report, not a recommendation — how to weigh valuation, scenario spread, and your own risk tolerance.
- Own it if you want a high-quality coatings compounder and accept premium valuation.
- Skip it if you fear a housing slump.
- Track same-store sales and margins.
The BriMindInvest Edge
Why this report is different from asking a general-purpose AI chatbot about the stock.
- Every valuation number on this page is computed live from current market data through our own DCF, scoring, and Monte Carlo engines — not summarized or paraphrased from other analysts' reports the way a general chatbot would.
- The relevance-weighted fair value, reverse-DCF market-implied growth, fundamentals-based Monte Carlo, and scenario tables above are proprietary calculations you cannot get by asking a general-purpose AI for "SHW fair value" — those answers come from web summaries of other people's price targets, not a live, disclosed-assumption model.
- Our 1-year price-target model has a real, published backtest (see Model Track Record above where covered) — we show our work and our error rate rather than asserting accuracy.
- Numbers here are refreshed every time you load the page, not cached from a training cutoff months or years in the past.
Data Sources & Methodology
Valuation, price, and financial-statistics data in this report are fetched live from our production market-data pipeline (Yahoo Finance and Finnhub) at the time you loaded this page. The AI Score is a percentile ranking against our full covered stock universe, recomputed nightly. The fundamentals-based Monte Carlo and Bull/Base/Bear scenarios randomize growth rate, discount rate, and terminal growth around the same disclosed DCF assumptions used in the valuation table — they are not derived from resampled historical stock returns. The secondary historical-volatility simulation (2,000 bootstrap paths, seeded for reproducibility) uses the stock's own historical monthly returns and is shown separately because it measures a different thing (volatility) than the fundamentals-based model (intrinsic value).
This report is for informational and educational purposes only and does not constitute financial, investment, or tax advice, or a recommendation to buy or sell any security. All valuation models, price targets, and simulations are estimates based on historical and current data; actual results will differ, potentially substantially. Investing involves risk, including loss of principal. See our full Methodology and Disclaimer.
Free vs. Premium: What You're Getting
- Narrative overview and general bull/bear framing
- Headline price and basic company facts
- No live valuation model, AI Score, or forecast table
- Relevance-weighted fair value range and reverse-DCF market-implied growth
- 5-year financial forecast, DCF sensitivity grid, and Bull/Base/Bear scenario table
- Fundamentals-based Monte Carlo and decomposed AI Score with sub-factor components
- Real, published backtested accuracy where SHW is in our coverage set
Glossary of Key Terms
Plain-English definitions for the terms used throughout this report, for readers newer to equity valuation.
Frequently Asked Questions
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