Kuaishou Q1 Results: Explosive Growth in AI Business Kling, Pressure on Core Operations

Overview

This report reviews Kuaishou Technology’s Q1 2026 earnings. Morgan Stanley notes that while the company delivered modest top-line growth and slightly better-than-expected profits, performance was sharply bifurcated: the emerging ‘Kling’ AI business exhibited non-linear, explosive growth, whereas traditional core businesses—including live streaming and e-commerce—underperformed due to macroeconomic headwinds and the company’s deliberate reduction in monetization rates to strengthen its ecosystem. The firm maintains its Overweight rating and HK$65 target price, anchored primarily on the high valuation potential of Kling, which could be unlocked via a potential spin-off, thereby offsetting the drag from sluggish core growth.

Core views

Earnings Recap: Modest Revenue Growth, Standout AI Performance. In Q1 2026, Kuaishou’s total revenue increased 3.4% YoY, 1 percentage point above Morgan Stanley’s estimate. Growth was driven mainly by online marketing services (up 9% YoY, with domestic growth exceeding 10%) and other services/e-commerce (up 16% YoY, 3 percentage points above expectations). Most notably, Kling AI revenue surged over 300% YoY to RMB 650 million, significantly surpassing management’s prior guidance of RMB 300 million; as of end-March, Kling’s annual recurring revenue (ARR) stood near USD 500 million—substantially higher than the expected USD 380 million. Generative AI applications in online marketing recommendations contributed an estimated 3–4 percentage points to online marketing revenue growth. However, adjusted net profit declined 26% YoY—though still 11% above expectations—reflecting Kling’s currently low-margin stage, a profile unlikely to persist long-term. Forward Guidance: Core Business Under Pressure, Weak Q2 Outlook. Management’s Q2 2026 guidance fell short of expectations: total revenue is forecast to rise only 1% YoY, with core commercial revenue up 7%. Specifically, online marketing revenue is projected to grow 6–6.5% (impacted by merchant subsidies), live streaming revenue is expected to decline 14% YoY, and e-commerce revenue is flat YoY (primarily due to subsidy effects). Gross margin remained broadly stable at 51.5% QoQ, with adjusted net profit forecast at RMB 3.9 billion for Q2. Excluding Kling, all other revenue streams weakened under macro pressure and the company’s lower-monetization strategy aimed at ecosystem building. Kling Development: Non-linear Strength. Kling’s robust performance stems from both user base expansion and rising average revenue per paying user (ARPPU). Product iteration continues to prioritize professional user needs; the upcoming release will enhance multimodal input/output, long-context processing, and image quality. User retention is improving, with overseas retention ~10 percentage points higher than domestic. Management disclosed that Kling’s revenue split is 75% overseas / 25% domestic, and API vs. subscription revenue stands at 60% / 40%. Higher hit rates for video generation under long prompts represent a key differentiator versus major competitors. Valuation & Forecast Adjustments: AI Upside Offsets Core Weakness. Given core business softness outweighing Kling’s incremental contribution, Morgan Stanley lowered its 2026–2028 EPS forecasts by 5%, 1%, and 2%, respectively; it also reduced 2026–2028 revenue forecasts by 1.6–2.2%, reflecting weaker live streaming and e-commerce revenue—partially offset by higher Kling revenue. However, the firm raised its 2026-year-end Kling ARR forecast from USD 840 million to USD 1.0 billion. Using a Sum-of-the-Parts (SOTP) valuation framework, the target price remains unchanged at HK$65.

Analysis framework

The firm applies a Sum-of-the-Parts (SOTP) valuation framework to Kuaishou, separating its business into two distinct segments: 'Core Business' and 'Kling AI Business.' For the Core Business, the firm assigns a 2026 forward P/E multiple of 8x, benchmarked against peers. This reflects muted growth in a benign industry environment and the profit-dampening impact of rising depreciation expenses. For the Kling AI Business, the firm employs a Price-to-ARR (P/ARR) valuation approach, assigning a 20x P/ARR multiple, adjusted downward by a 30% holding-company discount. This discount—lower than those applied to publicly listed peers—reflects concerns regarding competitive dynamics. With the upward revision of Kling’s 2026-year-end ARR forecast (from USD 840 million to USD 1.0 billion), its valuation contribution has meaningfully increased, supporting the unchanged overall target price. This analytical method clearly illustrates how markets assign divergent valuation logics to traditional internet traffic businesses (focused on earnings stability → P/E) versus emerging AI technology businesses (focused on growth and scalability potential → P/ARR).

Methodology notes

• Valuation MethodSOTP Valuation

  Sum-of-the-Parts Valuation

  Valuing separate business units (e.g., mature core operations and high-growth AI business) individually and summing them. This yields a more accurate reflection of each segment’s intrinsic value, preventing high-growth units from being undervalued due to low-growth units—or vice versa.

• Valuation MethodPE/PEG valuation

  P/E Valuation

  Used to assess mature core operations. Compares share price to earnings per share (EPS), benchmarked against industry averages (e.g., 8x), to gauge relative cheapness or expensiveness.

• Valuation MethodPS valuation

  P/ARR Valuation (for SaaS/AI)

  Applied to fast-growing, pre-profitability AI businesses (e.g., Kling), using Annual Recurring Revenue (ARR) as the valuation anchor. A 20x P/ARR multiple reflects market expectations for strong future cash flow generation and discounting.

• Industry/Thematic Analysis FrameworkVolume-price decomposition

  Volume-Price Decomposition Analysis

  Decomposes revenue growth into changes in user count ('volume') and revenue per user ('price'/ARPPU). The report highlights that Kling’s growth is driven by both expanding user base and rising ARPPU—helping identify the true drivers of growth.

• Event-Driven & Behavioral Finance

  Holding-Company Discount

  When valuing diversified conglomerates, markets often apply a discount to the sum of parts due to managerial complexity, capital allocation inefficiency, or liquidity constraints. The report applies a 30% discount to Kling’s valuation.

Asset mapping & comparison

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

• Kuaishou Technology (1024.HK)

  Primary beneficiary: High growth and potential spin-off value of the Kling AI business serve as key upside drivers.

  Strengths

  Kling AI demonstrates technological leadership and rapid ARR growth; online marketing benefits from GenAI integration; valuation is attractive (core business trades at ~5x P/E).

  Weaknesses

  Growth slowdown in core live streaming and e-commerce businesses; margins constrained by subsidies and depreciation; macro uncertainty.

  Comparison

  Relative to peers, Kuaishou holds differentiated advantages in AI-powered video generation, though its core e-commerce monetization rate remains comparatively low.

  Risks

  Intensifying AI competition; stagnation in core user growth; regulatory policy shifts.

Key data

• Q1 2026 Total RevenueRMB 33.716 billionUp 3.4% YoY, 1 percentage point above expectation
• Q1 2026 Kling AI RevenueRMB 650 millionUp >300% YoY, far exceeding RMB 300 million guidance
• Q1 2026 Online Marketing RevenueRMB 19.643 billionUp 9% YoY
• Q1 2026 Adjusted Net ProfitRMB 3.374 billionDown 26% YoY, but 11% above expectation
• Q2 2026 Revenue GuidanceUp 1% YoYWeaker than expected; core commercial growth of 7%
• Kling 2026E ARR ForecastUSD 1.0 billionRaised from previous USD 840 million
• Target PriceHK$65Unchanged, implying 44% upside

Impact & implications

The report views Kuaishou as undergoing a critical structural transformation. In the near term, core businesses (live streaming and e-commerce) face headwinds from macro conditions and intense competition, resulting in sluggish growth and margin pressure—leading to downward revisions in overall earnings forecasts. Yet, Kling AI’s explosive growth validates its competitiveness in generative AI, particularly in long-form video generation and professional user adoption. A potential Kling spin-off is identified as a key catalyst for unlocking value. Investors should monitor whether Kling can sustain high growth and gradually improve margins, and whether core businesses can stabilize market share under its low-monetization strategy.

Risks

• Advertising revenue growth below expectations.
• Margins below expectations due to revenue sharing, sales expenses, and overseas expansion.
• Monthly active user (MAU) growth below expectations due to competition and reduced sales and marketing spend.

What to watch

• Kling AI user retention rates and ARPPU trends.
• GMV and revenue performance of core commercial businesses (live streaming, e-commerce) under the low-monetization strategy.
• Progress on potential Kling spin-off plans.
• Control of sales and marketing (S&M) expenses.