Siemens Energy: Upside Potential Amidst Multiple Headwinds; 2030 Supply-Demand Dynamics Key Concern

Overview

Morgan Stanley published meeting minutes on Siemens Energy, noting the company currently faces multiple headwinds including concerns over oversupply in gas turbines/power solutions, expectations of order peak in 2026, and lack of near-term catalysts. However, the institution maintains an Overweight rating, asserting that new 2030 targets in November 2026 could drive consensus expectations higher. The stock price may fluctuate in a range in the short term, with €138 as valuation support and a target price of €200.

Core views

Core views revolve around supply-demand dynamics and valuation. The institution updated its gas turbine supply model, projecting potential 2030 capacity at 135GW (previously 116GW). Traditional gas turbine capacity stands at 97GW, broadly consistent with order levels through 2027-30. However, competition is intensifying in data center backup power markets from alternatives such as engines and fuel cells. Gas turbine orders totaled 100GW in 2025, with 2026 projected at 117GW; data center orders represent about 20% of this total. The institution anticipates a decline in 2027 orders as data center order-to-build ratios are already elevated, and Middle Eastern power infrastructure investment may face delays. Regarding valuation, Siemens Energy trades at 12.5x 2028 EV/EBITA, in line with the Capital Goods sector, yet at a 43% discount to U.S. peer GE Vernova (21x). Should AI-themed selling persist, €138 (10x 2030 P/E) acts as the valuation support level, corresponding to a 7% free cash flow yield and 14% terminal profit margin (the institution forecasts a group EBITA margin of 20.6% for 2030). The institution emphasizes that Siemens Energy is an EPS momentum stock rather than one driven by long-term stable compound earnings growth. Growth in the gas turbine aftermarket backlog contributes only to 2020-25 group EBITA, representing the sole low-risk earnings growth source. New 2030 targets could drive single-digit increases in consensus EBITA and EPS estimates for 2030.

Analysis framework

The institutional analysis follows a supply-demand narrative: First, it updates supply models for gas turbines and data center power solutions, quantifying 2030 capacity (135GW) versus orders (117GW in 2026), indicating potential oversupply post-2030. Second, it dissects demand drivers: Data center orders account for 20% of cumulative orders from 2025-26, but sustainable annual growth in new U.S. data centers is constrained by labor, permitting, space limitations, and the substitution of inference needs for training needs. Middle Eastern orders represented 16% of the total in Q1 2026; geopolitical factors and increased defense spending may divert power infrastructure investment. Valuation methodology combines SOTP (Sum-of-the-Parts) and DCF: The SOTP component benchmarks against peers like GE Vernova, Mitsubishi, and Hitachi, averaging a 2028 EV/EBIT multiple of 19.3x; DCF assumptions include a WACC of 7.8% and a terminal growth rate of 2%. Short-term price trajectory references 2025 experience (range-bound trading June-October, breakout after November CMD), suggesting similar range-bound movement in June-September 2026 driven more by AI sentiment than company-specific catalysts.

Methodology notes

• Valuation MethodSOTP Valuation

  SOTP Segment Valuation

  Sum-of-the-Parts valuation sums individually benchmarked multiples of different business segments (e.g., Gas Services, Grid Technologies) to derive enterprise value, suitable for diversified conglomerates. This report applies this to segments like Gas Services and Grid Technologies, benchmarking against peers like GE Vernova to derive enterprise value.

• Valuation MethodDCF Cash Flow Discount

  DCF Cash Flow Discount Model

  Calculates intrinsic enterprise value by forecasting future free cash flows and discounting them at the Weighted Average Cost of Capital (WACC). This report assumes a WACC of 7.8% and a terminal growth rate of 2%, averaging the result with the SOTP output to determine the target price.

• Industry/Industrial Analysis FrameworkSupply-demand framework

  Supply-Demand Balance Analysis

  Quantifies and contrasts industry supply (capacity) with demand (orders) to assess price and margin trends. This report updates the gas turbine 2030 supply model (135GW), contrasting it with order forecasts (117GW in 2026), indicating potential oversupply post-2030.

• Cycle and Momentum FrameworkMomentum Turning Point Analysis

  Industry Cycle Turning Point Judgment

  Uses indicators like orders and capacity utilization to anticipate industry peak cycles. This report identifies the 2026 gas turbine order peak (117GW) with a subsequent decline in 2027, due to high data center order-to-build ratios and potential delays in Middle Eastern investment.

Asset mapping & comparison

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

• Siemens Energy (ENR1N.DE)

  Beneficiary Logic: Rising data center orders drive gas turbine demand; market share rises to 37%

  Strengths

  Gas service backlog growth provides low-risk earnings; trading at a discount vs. peers

  Weaknesses

  Margin normalization risk post-2030; lack of near-term catalysts

  Comparison

  43% discount to GE Vernova, but faster EPS growth

  Risks

  Price pressure from overcapacity; project execution risks

• Wartsila (WRT1V.HE)

  Impacted Negatively: Energy market overcapacity triggers price pressure

  Weaknesses

  Pricing pressure on energy business; large backlog execution risks

  Comparison

  Trades at 15.5x 2028 EV/EBITA, higher than Siemens Energy

  Risks

  Overcapacity, order execution risks

Key data

• Potential 2030 Gas Turbine Supply135GWUpgraded from January forecast of 116GW; includes 97GW traditional gas turbines and alternative solutions
• 2025 Gas Turbine Orders100GWSecond-highest level historically
• 2026 Gas Turbine Order Forecast117GWAnnualized data from Q1 2026
• Data Center Order Share20%Share of cumulative gas turbine orders in 2025-26
• Siemens Energy Market Share37%Increased to 37% in Q1 2026; GE Vernova stands at 32%
• 2028 EV/EBITA Multiple12.5xRepresents a 43% discount vs. GE Vernova (21x)
• Short-term Valuation Support Level€138Corresponds to 10x 2030 P/E and 14% terminal margin

Impact & implications

For Siemens Energy, supply-demand debates primarily impact EBITA margins and exit multiples post-2030. The institution deems sustaining a 25% Gas Services margin (forecast for 2030) unlikely over the next decade, with a base case projection of 21.5% by 2035. In the short term, stock price is dominated by AI sentiment; €138 serves as valuation support, implying bearish margin assumptions if breached. New 2030 targets (November 2026) could act as a catalyst to lift consensus expectations, driving the stock toward the €200 target. On an industry level, gas turbine suppliers are expanding capacity focused on high-margin data center orders; slowing demand could trigger price pressure.

Risks

• Price pressure due to gas turbine market overcapacity
• Execution risks in large power projects (especially SGRE segment)
• Contract award delays caused by permitting, policy, or geopolitical factors
• Accelerated shift from coal to renewables rather than gas
• Delays in data center construction due to labor or permitting issues

What to watch

• FY26 earnings and release of new 2030 targets on November 11, 2026
• Q3 2026 earnings on August 5, 2026
• Trends in gas turbine orders (particularly data center share)
• Progress of Middle Eastern power infrastructure investment
• Impact of changing AI theme sentiment on stock price