GDS Expects EBITDA Growth to Re-Accelerate from Q3 2027

Overview

This report is Morgan Stanley’s summary of feedback from GDS (GDS.US) at the 2026 Asia AI Summit. The key conclusion is: although EBITDA growth will be under pressure in 2026–2027 due to legacy contract renewals and pricing adjustments, company growth is expected to significantly accelerate in 2028 as large AI-related orders start delivering from Q3 2027, with potential growth rates dependent on 2026 booking volumes.

Core views

The report notes that GDS anticipates low single-digit organic EBITDA growth in 2026–2027, facing approximately 4–5 percentage points of headwinds mainly from renewal and repricing of existing contracts. This period of pressure is concentrated between Q2 2026 and Q2 2027, covering five quarters. A key turning point is expected in Q3 2027, when large orders are set to commence delivery. This will significantly boost company performance: if full-year bookings reach 500 megawatts (MW) in 2026, EBITDA growth in 2028 could reach mid-to-high teens%; if bookings reach 800MW, the growth rate may climb to mid-20s%. Regarding capital expenditure, the report updates the unit economics (UE) model for new projects. For new projects in remote areas, assuming a monthly service fee (MSR) of RMB 250 excluding power, the unit cost is approximately RMB 2.2–2.3 million per MW. In first-tier city markets, with an assumed MSR of RMB 300, the unit cost rises to RMB 2.8–3.0 million per MW. For legacy projects nearing renewal, unit revenue will start around RMB 5 million per MW and decline annually by 10%, eventually stabilizing at RMB 3.5–3.7 million per MW. Additionally, due to the use of greenfield resources (rather than inventory), project delivery timelines have extended to 12 months, but are expected to return to normal from 2027 onward, shortening to 6–9 months as certain shells are completed.

Analysis framework

Morgan Stanley's analysis is based on interpreting forward-looking guidance provided by GDS management during the AI summit. The core logic follows a 'short-term pressure, medium-term rebound' narrative: first quantifying the negative impact of legacy contract renewals on near-term EBITDA growth and identifying the timing of this pressure window; then linking future growth momentum to a key leading indicator in 2026 — new order booking volume (MW) — to build EBITDA growth forecasts for 2028 under different booking scenarios. Simultaneously, by updating operational details such as unit economics (UE) and delivery cycles, the firm evaluates the company’s profitability and execution efficiency under the new wave of AI-driven demand.

Methodology notes

• Industry/Industrial Analysis FrameworkSupply-demand framework

  The data center industry fundamentally hinges on supply-demand alignment, especially the surge in high-power rack demand driven by AI

  The report directly links GDS's growth outlook to AI computing demand and uses booking volume (MW), a supply-side metric, to forecast future revenue and EBITDA, demonstrating the application of the supply-demand analysis framework in the data center sector.

• Industry/Industrial Analysis FrameworkVolume-price decomposition

  Decomposing revenue or EBITDA growth into two dimensions: 'volume' (e.g., MW bookings, rack utilization) and 'price' (e.g., MSR, unit revenue)

  The report explicitly identifies recent growth drag caused by 'price reductions' from legacy contracts (a price factor) and uses 'MW booking volume' from new orders (a volume factor) as the core driver of future growth, exemplifying classic volume-price decomposition analysis.

• Company Fundamentals & Financial FrameworkFree cash flow analysis

  Data centers are capital-intensive with high capex; unit economics (UE) are critical for assessing long-term project returns

  The report details unit costs (RMB million/MW) for new projects across regions alongside corresponding monthly service fees (MSR), forming the foundation for evaluating individual project ROI and the company’s overall free cash flow generation capability.

Asset mapping & comparison

Structured mapping from thesis to named assets (strengths, weaknesses, peers, risks).

• GDS HOLDINGS LTD (GDS.US)

  Core subject of analysis, AI computing infrastructure provider

  Strengths

  Capable of securing large AI orders, expected to enter delivery and harvest phase starting Q3 2027

  Weaknesses

  Growth temporarily slowed in 2026–2027 due to legacy contract drag

Key data

• Expected Organic EBITDA Growth in 2026–27Low single digitsDragged down by legacy contract renewals
• Growth headwind from legacy contract renewals4–5 percentage pointsMainly affecting Q2 2026 – Q2 2027
• 2028 EBITDA Growth Potential (500MW scenario)Mid-to-high teensIf 500MW booked in 2026
• 2028 EBITDA Growth Potential (800MW scenario)Mid-20s%If 800MW booked in 2026
• Unit Cost for New Projects in First-Tier CitiesRMB 2.8–3.0 million/MWAssuming MSR of RMB 300/month
• Current Share Price (May 27, 2026)US$33.8852-week trading range: US$22.53 – US$48.61

Impact & implications

The report suggests that GDS is currently in a transitional phase, where short-term pain paves the way for long-term growth driven by AI. Investors should closely monitor the MW booking volume throughout 2026, as it serves as a key leading indicator validating whether the company can deliver on its high-growth expectations for 2028. Once large orders begin delivery, the company’s growth story will regain strong momentum.

What to watch

• Full-year MW booking volume in 2026
• Progress of large order deliveries starting Q3 2027