PA GOODDOCTOR 2026 Interim Results: Net Profit Jumps 63.5%, Corporate Health Management Revenue Soars 65%

Bulletin Express08-27 16:44

Ping An Healthcare and Technology Company Limited (PA GOODDOCTOR, 01833) released its 2026 interim report. Total revenue edged down 0.7% year-on-year to RMB2.48 billion, yet earnings and margin improved markedly on business-mix optimisation and cost control.

Revenue breakdown shows a sharp 65.1% surge in corporate health management to RMB713.84 million, lifting its contribution to 28.7% of group revenue (up 11.5 percentage points). Commercial insurance enablement remained stable at RMB1.58 billion, while other income streams fell 61.8% to RMB185.56 million.

Gross profit rose 13.9% to RMB956.67 million; gross margin expanded 4.9 percentage points to 38.5% as service mix shifted toward higher-margin segments. Selling and marketing expenses were RMB386.07 million (+1.3%), and administrative expenses reached RMB405.51 million (+9.0%), bringing the expense ratio to 31.9% of revenue (+1.8 ppts).

Profit attributable to shareholders surged 63.5% to RMB219.33 million. On a non-IFRS basis, adjusted net profit increased 37.7% to RMB226.80 million. AI initiatives contributed about 4.6% of gross profit, with AI Doctor serving more than 9.7 million users during the period.

Operational highlights include servicing over 7,700 paying corporate clients in the past 12 months (+73% YoY) and generating corporate health management GMV exceeding RMB1.79 billion. The offline “Ping An Circle” network now covers 10,000+ partner outlets, and the company partners with 3,216 “Ping An Selected Hospitals,” 3,700+ contracted expert doctors, and nearly 245,000 pharmacies.

Financially, cash and cash equivalents stood at RMB4.42 billion, while total available funds, including restricted cash, term deposits and investments, reached RMB9.64 billion. The interim report declared no dividend.

Management plans to deepen “insurance + healthcare” synergies with Ping An Group, accelerate corporate health management growth, and broaden AI deployment across medical and insurance scenarios to sustain profitability and service quality.

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