Bullish case
$256 to $361
More likely if non-residential project activity stays healthy, residential and RMI demand recover, pricing and productivity protect margin, acquisitions add value, and investors accept a higher earnings multiple.
Ferguson Enterprises Inc. research snapshot
FERG AI stock analysis currently views Ferguson Enterprises as a scale-led North American plumbing, HVAC, waterworks, and MRO distributor with resilient repair and maintenance exposure, local execution, and disciplined repurchases. The offset is weak residential demand, mixed commercial markets, meaningful debt, and a trailing earnings multiple near 22x. At the July 11, 2026 cutoff, the latest July 10 market snapshot showed FERG at $221.46 and a $42.95 billion market capitalization. This FERG AI stock analysis is informational research, not investment advice.
Current price
$221.46
Market cap
$42.95 billion
AI score
71 / 100
Rating
High-quality distributor, cyclically valued
Trend status
Neutral to cautious after a pullback from spring highs
Data cutoff (updated weekly)
July 11, 2026
Informational use only. This page is not investment advice.
| Dimension | Conclusion | Confidence |
|---|---|---|
| Business quality | Ferguson distributes essential plumbing, HVAC, waterworks, and industrial products to professional customers through a large branch and fulfillment network. | High |
| Moat | Local inventory availability, customer service, supplier relationships, purchasing scale, and a dense branch network create practical switching costs, though distribution margins remain competitive. | Medium-high |
| Management | Kevin Murphy has led the operating business since 2017 and emphasizes organic growth, acquisitions, productivity, dividends, and repurchases. Execution through the construction cycle remains the test. | Medium-high |
| Financial trend | March-quarter sales rose 3.6% to $7.47 billion, adjusted operating profit rose 8.4% to $647 million, and adjusted EPS rose 9.1% to $2.28. | High |
| Valuation | financial_rigor.py calculates about 22.1x TTM earnings and a 4.6% free-cash-flow yield using a $221.46 price, $10.04 TTM EPS, and $10.20 TTM FCF per share. | Medium |
| Technical trend | The July 10 market snapshot was below the $224.62 July 9 close and well below an April 24 close of $263.59, indicating a corrective rather than confirmed upward trend. | Medium |
| Risk level | Risk is moderate because Ferguson has durable professional demand, while housing, RMI activity, commodity prices, tariffs, inventory, debt, and valuation can pressure results. | Medium-high |
| AI confidence | Reported sales, profit, cash, debt, shares, and price math are high-confidence. Technical levels and future housing demand need live confirmation. | High data confidence |
| Investment certainty | Medium certainty. The business has attractive operating characteristics, but the price requires continued execution while residential markets remain soft. | Medium |
FERG AI stock forecast
The FERG AI stock forecast uses scenario ranges rather than a promised target. A financial_rigor.py three-scenario model using $10.04 TTM EPS produced mechanical three-year outputs near $360.80 in a bull case, $255.70 in a base case, and $146.30 in a bear case before dividends, taxes, macro changes, and valuation volatility.
$256 to $361
More likely if non-residential project activity stays healthy, residential and RMI demand recover, pricing and productivity protect margin, acquisitions add value, and investors accept a higher earnings multiple.
$210 to $256
More likely if management delivers low to mid-single digit 2026 sales growth and a 9.4% to 9.8% adjusted operating margin while residential remains subdued and valuation stays near current levels.
$146 to $210
More likely if housing and repair activity weaken further, project work slows, tariffs or deflation hurt gross profit, leverage rises through acquisitions, or the market re-rates FERG as a cyclical distributor.
FERG AI technical analysis
FERG AI technical analysis starts from the $221.46 July 10, 2026 market snapshot. Static sources near the cutoff showed a $224.62 July 9 close and a $263.59 April 24 close, but did not provide a verified current 50-day or 200-day moving average. Confirm all live chart values before acting on them.
| Level | Value | Why it matters |
|---|---|---|
| Current price | $221.46 | Market-cap snapshot dated July 10, 2026. The cutoff is after the latest regular trading session. |
| Near support | Around $220 | This is a round-number monitoring area around the July 10 snapshot, not a statistically validated support level. |
| Near resistance | $225, then $264 | The $225 area is near the July 9 close, while $263.59 was the April 24 close shown in the historical-price source. Neither is a live trade signal. |
| 50-day moving average | Live data required | No independently verified 50-day figure was available in the static source set at the cutoff. Confirm on a live chart before use. |
| 200-day moving average | Live data required | No independently verified 200-day figure was available in the static source set at the cutoff. Confirm on a live chart before use. |
| Momentum | Cautious | The decline from the April snapshot to the July snapshot calls for confirmation through price, moving averages, and volume rather than a single-day bounce. |
| Volume | Confirm on breakout | Use current average volume to judge whether a move through resistance has institutional participation. |
| Volatility | Moderate cyclical-equity risk | Earnings, housing data, project demand, commodity prices, tariff news, and guidance can change the range quickly. |
| Invalidation | Sustained break below the $220 area | A persistent break below the July monitoring area, especially with weaker end-market data, weakens a trend or mean-reversion thesis. |
FERG AI trading strategy
The FERG AI trading strategy is a rules-based research framework for a cyclical distribution business. It is not personalized advice. Pair it with current chart data, position sizing, earnings dates, and a predefined loss limit.
Wait for FERG to reclaim the $225 area and confirm a move with live moving-average alignment and stronger-than-average volume. Review housing data and guidance before treating a price move as durable.
Invalidate the setup on a sustained loss of the $220 monitoring area, a guidance reduction, or deteriorating residential and non-residential volume.
Monitor whether FERG holds around $220 while March-quarter margin, non-residential share gains, cash generation, and leverage discipline remain intact.
Do not average down solely because the stock is lower. Reassess if pricing, gross margin, inventory turns, or housing demand weaken materially.
Track US residential and non-residential sales, RMI demand, gross margin, adjusted operating margin, acquisition contribution, capex, net debt to EBITDA, dividends, and repurchases.
Reduce confidence if acquisitions or shareholder returns increase debt without a matching improvement in organic growth or return on capital.
Investment research summary
Professional contractors pay Ferguson for product availability, reliable local delivery, technical know-how, credit, and time savings across plumbing, HVAC, waterworks, and industrial jobs.
The moat is operational rather than patent-led: branch density, local inventory, field relationships, fulfillment capability, supplier access, data, and purchasing scale make the distributor useful in urgent jobsite workflows.
The thesis can fail if a prolonged housing and RMI downturn combines with commodity deflation, tariff costs, inventory mistakes, project delays, aggressive acquisitions, or a multiple reset from cyclical earnings.
Kevin Murphy has long operating tenure and management continues to combine branch execution, productivity, bolt-on acquisitions, dividends, and repurchases. The capital-allocation question is whether buybacks and deals remain disciplined through a downturn.
North American construction, replacement work, water infrastructure, HVAC efficiency needs, and commercial projects create a broad addressable market. The cycle remains sensitive to rates, housing starts, labor availability, material prices, and trade policy.
At about 22x TTM earnings and a 4.6% calculated free-cash-flow yield, FERG is priced for continued execution. Margin of safety improves if end-market weakness is reflected in price without damaging branch economics or balance-sheet flexibility.
Source-backed data
Every metric below includes a source and last verification date.
| Metric | Value | Source | Last verified |
|---|---|---|---|
| FERG price | $221.46 on July 10, 2026 | MarketCap.Company market-cap snapshot | July 11, 2026 |
| Market capitalization | $42.95 billion, price times 193.94M shares | MarketCap.Company, checked with financial_rigor.py | July 11, 2026 |
| Shares outstanding | 193.94 million | StockAnalysis statistics snapshot | July 11, 2026 |
| FY2025 net sales | $30.762 billion | Ferguson FY2025 annual report and StockAnalysis, cross-validated | July 11, 2026 |
| FY2025 net income | $1.856 billion | Ferguson FY2025 annual report and StockAnalysis, cross-validated | July 11, 2026 |
| March 2026 quarter net sales | $7.472 billion, up 3.6% | Ferguson first-quarter 2026 results | July 11, 2026 |
| March 2026 gross margin | 31.0%, up 30 basis points | Ferguson first-quarter 2026 results | July 11, 2026 |
| March 2026 adjusted operating profit | $647 million, up 8.4% | Ferguson first-quarter 2026 results | July 11, 2026 |
| Cash and debt | $820 million cash and $6.08 billion total debt | Ferguson first-quarter results and StockAnalysis, cash cross-validated | July 11, 2026 |
| 2026 management outlook | Low to mid-single digit sales growth and 9.4% to 9.8% adjusted operating margin | Ferguson first-quarter 2026 results | July 11, 2026 |
This FERG AI stock analysis page is an informational tool only and is not investment advice, a recommendation, or a promise of future returns. Forecast scenarios are based on available public data as of July 11, 2026 and can be wrong if fundamentals, valuation, technical trends, or market conditions change.
Design trading strategies visually with 10+ indicators. Set entry/exit conditions and risk management, then generate Pine Script code with no coding required.
Filter and discover stocks based on market cap, dividend yield, P/E ratio, sector, and more. Screen thousands of stocks with real-time data.
Smart AI-driven stock selection with fundamental screening, analyst estimates, and key metrics. Filter by P/E, market cap, dividends, and more.