Deepexi Technology Co Ltd Class H

Deepexi Technology Co Ltd Class H

HHKEX:1384
11.45
HKD
-5.90
(-34.01%)
12.67BMarket Cap
Mar 22Next Earn
2022 Y
2023 Y
2024 Y
2025 Y
TTM
Revenue per Share
- -
- -
- -
1.42
- -
Basic EPS, GAAP
- -
- -
- -
-3.2
- -
Free Cash Flow per Basic Share
- -
- -
- -
-0.7
- -
Dividend per Share
- -
- -
- -
- -
- -
Book Value per Share
- -
- -
- -
2.54
3.42
Tangible Book Value per Share
- -
- -
- -
2.54
3.42
Basic Weighted Avg Shares
50
50
50
292
315
Sales/Revenue/Turnover
- -
- -
- -
415
- -
Operating Margin (%)
- -
- -
- -
-46.66
- -
Depreciation Expense
- -
- -
- -
10
- -
Net Income, GAAP
- -
- -
- -
-935
- -
Effective Tax Rate (%)
- -
- -
- -
- -
- -
Profit Margin (%)
- -
- -
- -
-225.2
- -
Working Capital
- -
- -
- -
813
1,102
LT Debt
- -
- -
- -
5
12
Total Equity
- -
- -
- -
830
1,145
Return on Invested Capital (%)
- -
- -
- -
- -
- -
Return on Capital (%)
- -
- -
- -
- -
- -
Return on Common Equity (%)
- -
- -
- -
- -
- -

Capital Structure

CNY

•

in mil. unless spec.
Jun'26
ST Debt
123
LT Borrowings
- -
LT Finance Leases
12
Preferred Equity and Hybrid Capital
- -
Shares Outstanding
335
Market Capitalization
10,965

Working Capital

CNY

•

in mil. unless spec.
Jun'26
Total Current Assets
1,445
Cash, Cash Equivalents & STI
947
Accounts Receivable, Net
445
Inventories
10
Total Current Liabilities
343
Payables & Accruals
- -
ST Debt
123
Deferred Revenue
- -

Growth Rates

CNY

•

in mil. unless spec.

(avg. rate of change)

10 years
5 years
1 year
Total Equity
- -
- -
- -
Free Cash Flow
- -
- -
- -
Net Income, GAAP
- -
- -
- -
Sales/Revenue/Turnover
- -
- -
- -
Total Cash Common Dividend
- -
- -
- -

Semi-annual Revenue

CNY

•

in mil. unless spec.

Year

H1
H2
FY
2024
- -
- -
- -
2025
- -
- -
415
2026
- -
- -
- -

Semi-annual Earnings Per Share

CNY

•

in mil. unless spec.

Year

H1
H2
FY
2024
- -
- -
- -
2025
- -
- -
-3.2
2026
- -
- -
- -

Semi-annual Dividends Per Share

CNY

•

in mil. unless spec.

Year

H1
H2
FY
2024
- -
- -
- -
2025
- -
- -
- -
2026
- -
- -
- -

Company Description

CEO
Jie Hui Zhao
Full Time Employees
464
Sector
Technology services
Industry
Packaged software
Address
Room 1001-1002 Beijing BJ China 100028
IPO Date
Oct 28, 2025
Business
Deepexi Technology Co., Ltd. engages in enterprise AI application solutions, focusing on large-model AI for operational decision-making and productivity enhancement; it provides enterprise-grade AI platforms, specialized agents, and related software services to optimize manufacturing, data management, and business processes; the company operates primarily in China with expanding international partnerships and clientele, and is headquartered in Beijing with a founding year of 2018. Main products and services - Enterprise large-model AI applications: proprietary AI models designed to learn and apply a company’s internal business logic, terminology, and historical data to support decision-making and operational efficiency - FastAGI AgentOS product line: agent-based operating systems and frameworks that enable autonomous, task-oriented AI agents to perform complex business workflows - Data management and integration solutions: tools and services for ingesting, organizing, and leveraging enterprise data to feed AI models and decision processes - Generative AI services for enterprises: tailored GenAI capabilities integrated into client workflows, including secure, compliant deployment with enterprise controls - Industry-specific AI solutions: domain-focused applications for manufacturing, supply chain, and other industrial sectors - AI governance, security, and compliance tooling: frameworks for model risk management, data privacy, and regulatory alignment within enterprise environments - Professional services and support: implementation, customization, training, and ongoing technical support for AI platforms and applications - Patent-backed technology offerings: leveraging a portfolio of registered patents to differentiate enterprise AI capabilities and standards contributions Latest major company changes - Strategic partnerships and alliances: collaborations with industrial and technology partners to co-develop industry-specific AI solutions and accelerate large-model deployments in enterprise settings - Funding rounds and acquisitions: participation in funding rounds and potential acquisitions to broaden AI capabilities, data resources, and go-to-market reach - New product launches and service offerings: introduction of enhanced enterprise AI platforms, expanded AgentOS capabilities, and additional GenAI services tailored to manufacturing and data management use cases - Strategic shifts and business expansions: acceleration of global market reach and client onboarding through partnerships and scalability initiatives - Reorganizations or corporate changes: corporate structuring or branding updates aligned with expanding AI product suites and international footprint - Operational updates: scale-up of R&D and professional services capacity to support larger client deployments and compliance requirements Additional context - Industry and segments: enterprise software; AI platforms; industrial AI solutions; data management; automation and decision support - Target markets: large enterprises and mid-market companies across manufacturing, logistics, and other data-intensive sectors; organizations seeking secure, customized AI deployment with governance - Geographic operations: primarily China with ongoing international exposure and partnerships; potential presence or partnership activity in Hong Kong and other Asia-Pacific regions - Founding year and headquarters: founded in 2018; headquarters in Beijing, PRC - Subsidiaries and parent relationships: corporate structure includes affiliates focused on AI development and enterprise deployment; partnerships and collaborations extend the ecosystem without explicit parent-subsidiary delineations in public disclosures Note: Public disclosures emphasize Deepexi’s focus on enterprise large-model AI and agent-based AI platforms, with ongoing expansion in product lines and strategic collaborations to scale enterprise deployments globally.