S&P Sees China Property Sales Down 10–14% in 2026, Oversupply

Executive summary

S&P Global Ratings has lowered its forecast for China’s primary real estate sales in 2026 to a decline of 10%–14%, a material downgrade from the 5%–8% decline it projected in October. S&P projects an additional 2%–4% fall in home prices this year on top of last year’s similar decline. The agency characterises the downturn as deeply entrenched and highlights excess unsold inventory as the central barrier to recovery.

Key data points

• S&P revised its 2026 primary real estate sales forecast to a drop of 10%–14% (previous October range: 5%–8%).
• S&P expects home prices to fall another 2%–4% in 2026, following a comparable decline in 2025.
• Completed annual new-home sales fell 12.6% in 2025 to 8.4 trillion yuan (~$1.21 trillion), versus 18.2 trillion yuan in 2021.
• Price declines of at least 3% were recorded in Beijing, Guangzhou and Shenzhen in 2025; Shanghai was an outlier with a 5.7% increase in 2025 versus 2024.
• The market has experienced a sixth consecutive year of completed, unsold new housing.

Quoted summary statements from the ratings update:

• "This is a downturn so entrenched that only the government has capacity to absorb the excess inventory."
• "Falling prices erode homebuyers' confidence. It's a vicious cycle with no easy escape."

Why S&P lowered its forecast

1. Structural oversupply: Developers continued construction despite falling sales, expanding the stock of completed but unsold homes. That persistent glut suppresses price recovery.

2. Demand shortfall: Consumer confidence has not rebounded; falling prices reduce urgency to buy, producing a self-reinforcing cycle of weak sales and further price declines.

3. Policy posture: Authorities have offered targeted, piecemeal interventions rather than a comprehensive purchase or fiscal program large enough to absorb excess inventory. That limits a rapid market rebound.

4. Shifting growth drivers: Efforts to accelerate high-tech sector development are ongoing, but the shift is not currently large enough to offset a property-sector slowdown, increasing reliance on exports for GDP growth.

Market implications for investors and institutions

• Credit and ratings risk: If sales underperform materially versus S&P’s base case, rating pressure could rise. S&P notes that a deeper shortfall could put downward pressure on ratings for several developers. A scenario where sales fall 10 percentage points below S&P’s base case would materially increase downgrade risk among rated developers.
• Sector contagion: Prolonged weakness in property sales and valuations can spill over into related sectors—construction suppliers, local government financing vehicles (LGFVs), and banks with concentrated mortgage/property developer exposure.
• Real estate prices and household wealth: Continued price declines reduce homeowner wealth and consumption propensity, creating a broader drag on domestic demand.
• Policy dependence: The market outlook is increasingly contingent on the speed and scale of government intervention to clear inventory or restore buyer confidence. Without coordinated, large-scale absorption of unsold inventory, recovery prospects remain limited.

Policy options and constraints

• Direct absorption: State purchases of unsold housing for conversion into affordable housing would remove inventory and support prices, but S&P describes existing efforts as piecemeal.
• Stimulus and credit easing: Targeted demand support (e.g., mortgage incentives, purchase subsidies) can boost transactions but may be less effective if buyers expect further price declines.
• Developer relief: Debt restructurings, payment holidays, or selective liquidity support can reduce default risk and limit systemic spillovers, but may not address the core mismatch between supply and demand.

Practical watchlist for traders and analysts

• Daily/weekly new-home sales and price indices for major cities, focusing on Beijing, Shanghai, Guangzhou and Shenzhen for early signs of stabilization or further deterioration.
• Inventory and new-completions data to measure the persistence of unsold stock and the pace at which developers are finishing projects.
• Policy signals from central and local government channels on any large-scale absorption programs, mortgage rule changes, or developer liquidity facilities.
• Credit spreads and CDS levels for major developers and state-owned property firms as near-term indicators of market confidence and rating risk.
• Bank mortgage performance and non-performing loan trends in provinces with high construction exposure.

Investor implications by asset class

• Equities: Developer and construction stocks may remain under pressure until sales and price trends stabilize. Look for divergence between top-tier developers with stronger balance sheets and highly leveraged peers.
• Fixed income: Bond spreads on developer debt and related corporate credits are sensitive to further downgrades; monitor for early widening as a signal of systemic risk.
• Real assets: Residential price weakness can create selective buying opportunities, but timing is uncertain while oversupply persists.

Bottom line

S&P’s downgrade of its 2026 China property sales forecast to a 10%–14% decline underscores a deep, inventory-driven slowdown that remains largely dependent on policy intervention to resolve. The combination of sustained oversupply, falling prices and uneven local market performance raises the probability of rating pressure for some developers and sustained stress across financial channels. For institutional investors and traders, the near-term priority is monitoring sales, inventory and policy signals rather than betting on a rapid, market-wide recovery.

Suggested next steps for professionals

• Maintain scenario models that incorporate a 10%–14% sales decline and a further 2%–4% price decline for stress testing.
• Monitor developer-specific liquidity metrics and bond market signals for early indications of rating shifts.
• Track policy announcements on inventory absorption and mortgage easing to update recovery probability assumptions.