iFLYTEK’s 2026 Q1 revenue met expectations but losses widened; new AI flagship set for October launch

Overview

Following iFLYTEK’s release of its 2026 first-quarter results, Goldman Sachs has updated its view: on the revenue side, strong growth in B2B and B2C businesses—up 26% year-on-year—propelled total revenue to RMB 5.3 billion, a 13% increase versus the prior year and slightly above expectations; however, on the profit side, higher-than-expected investment in large AI models resulted in a net loss of RMB 170 million, significantly worse than the previously forecasted profit of RMB 6 million. The company also announced that it will launch an AI flagship model based on Huawei’s Kirin 950 platform in October, while continuing to roll out AI hardware products such as AI glasses and Clawbox. Goldman has lowered its 2026–27 earnings estimates by 16%/4%, maintained a Neutral rating, and marginally reduced the DCF target price from RMB 63.9 to RMB 61.5.

Core views

Demand side: B2B and B2C businesses remain the primary drivers of growth, posting a combined year-on-year increase of 26% in Q1 2026, offsetting the seasonal weakness in the B2G segment. The company expects government AI project tenders to pick up in subsequent quarters. Supply side: In mid-April, it released the X2-Flash inference model with 3 billion parameters, built on a domestically produced chip platform and leveraging DSA and MTP technologies to enhance efficiency; the flagship model launching in October will be based on Huawei’s Kirin 950 platform, offering further improvements in computing power and energy efficiency. Profitability: Revenue forecasts for 2026–27 remain largely unchanged, but higher-than-expected R&D intensity and upward revisions to the operating expense ratio have led to earnings cuts of 16% and 4%, respectively. Starting in 2028, as AI product volumes scale, operating leverage is expected to become more pronounced. Valuation: Maintaining the DCF valuation framework, with a WACC of 11.5% and a terminal growth rate of 2%. The target price of RMB 61.5 corresponds to a 2027E P/S ratio of 3.7x, placing it within one standard deviation below the company’s historical average—a limited upside in terms of multiple expansion.

Analysis framework

Goldman employs a two-stage DCF model: Stage One (2026–2031E): Based on the latest quarterly data, assumptions for revenue, gross margin, and expense ratios have been revised. Projected year-on-year increases in shipments of AI learning tablets and Spark AI hardware are expected to drive an approximate 12% CAGR in revenue after 2028. Stage Two (2032–2036E): Assuming a mature phase with FCF growth of 12% and a terminal growth rate of 2%, discounted at a rate of 11.5% (COE 11.5%, Beta 1.3). Sensitivity: Significant deviations in education orders, competitive dynamics, or cost control could materially impact earnings outcomes.

Methodology notes

• Valuation MethodDCF Discounted Cash Flow

  Two-stage DCF Model

  This approach estimates a company’s intrinsic value by forecasting future free cash flows and discounting them at the weighted average cost of capital; it is suitable for firms with predictable cash flows and stable capital structures.

• Quantitative/Factor/Portfolio TheoryBeta/alpha analysis

  Beta 1.3

  A beta greater than 1 indicates that iFLYTEK’s stock is more sensitive to market fluctuations; for every 1% move in the broader market, the stock is expected to change by 1.3%, used in calculating the cost of equity.

Asset mapping & comparison

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

• iFLYTEK (002230.SZ)

  Core holding, directly benefiting from the deployment of large AI models and hardware

  Strengths

  Comprehensive AI voice technology stack; deep collaboration with domestic chipmakers like Huawei; robust government and education customer base

  Weaknesses

  High R&D spending causes short-term earnings volatility; B2G business exhibits pronounced seasonality; intensifying competition compresses hardware gross margins

  Risks

  Education orders fall short of expectations; heightened competition; inadequate cost control

Key data

• 2026 Q1 RevenueRMB 5.3 billionUp 13% year-on-year—4% above Goldman’s forecast
• 2026 Q1 Net LossRMB 170 millionWorse than Goldman’s forecast of RMB 6 million profit
• Magnitude of Earnings Downgrade for 2026–2716%/4%Due to higher-than-expected R&D spending
• DCF Target PriceRMB 61.5Corresponds to a 2027E P/S ratio of 3.7x
• Beta Coefficient1.3Above the market average

Impact & implications

Short term: Below-expectations results may weigh on the stock, though the October launch of the new flagship model could serve as a catalyst. Medium term: If AI hardware shipments ramp up as planned, operating leverage should begin to manifest around 2028, potentially stabilizing earnings. Long term: A domestic chip platform coupled with a closed-loop large-model strategy strengthens competitive advantage, but softness in the B2G segment and intense competition remain valuation headwinds.

Risks

• Education contract revenue may exceed or fall short of expectations, impacting overall revenue growth
• Industry competition proves fiercer than anticipated, squeezing product gross margins
• Cost control fails to meet targets, undermining profitability

What to watch

• Progress on the October launch of the new AI flagship model based on Huawei’s Kirin 950 platform
• Shipment data for AI learning tablets and Spark AI hardware
• The pace and scale of government AI project tenders