Reconova Technologies Co., Ltd. Class H

Reconova Technologies Co., Ltd. Class H

HHKEX:7656
14.75
HKD
+0.45
(+3.15%)
Reconova Technologies Co., Ltd. Class H
HKEX:7656
(Hong Kong Exchange)

Recent

price

14.75

P/E

ratio

- -

div

yld

- -

ROIC.AI

2023
2024
2025
CNY
0.79
1.29
1.45
Revenue per Share
-0.1
0.03
-0.22
Basic EPS, GAAP
-0.21
0.04
-0.42
Free Cash Flow per Basic Share
- -
- -
- -
Dividend per Share
0.39
0.42
0.38
Book Value per Share
0.38
0.41
0.37
Tangible Book Value per Share
305
305
305
Basic Weighted Avg Shares
242
395
443
Sales/Revenue/Turnover
-9.15
7.55
2.1
Operating Margin (%)
14
11
9
Depreciation Expense
-29
10
-67
Net Income, GAAP
- -
- -
- -
Effective Tax Rate (%)
-12.14
2.46
-15.18
Profit Margin (%)
90
113
94
Working Capital
2
2
7
LT Debt
114
122
108
Total Equity
- -
7.44
- -
Return on Invested Capital (%)
- -
7.22
- -
Return on Capital (%)
- -
7.84
-55.1
Return on Common Equity (%)

Capital Structure

CNY

•

in mil. unless spec.
No data availableFinancial data will appear here once available

Working Capital

CNY

•

in mil. unless spec.
No data availableFinancial data will appear here once available

Growth Rates

CNY

•

in mil. unless spec.

(avg. rate of change)

10 years
5 years
1 year
Total Equity
- -
- -
-11.75%
Free Cash Flow
- -
- -
-1,258.36%
Net Income, GAAP
- -
- -
-792.02%
Sales/Revenue/Turnover
- -
- -
12.09%
Total Cash Common Dividend
- -
- -
- -

Semi-annual Revenue

CNY

•

in mil. unless spec.

Year

H1
H2
FY
2024
- -
- -
395
2025
- -
- -
443
2026
- -
- -
- -

Semi-annual Earnings Per Share

CNY

•

in mil. unless spec.

Year

H1
H2
FY
2024
- -
- -
0.03
2025
- -
- -
-0.22
2026
- -
- -
- -

Semi-annual Dividends Per Share

CNY

•

in mil. unless spec.

Year

H1
H2
FY
2024
- -
- -
- -
2025
- -
- -
- -
2026
- -
- -
- -
Business
Reconova Technologies Co., Ltd. (Ticker: 7656.HK) is a technology company that develops and delivers advanced embedded computation and artificial intelligence solutions for industry applications, with a focus on vehicle-mounted and industrial devices, AI-enabled edge computing platforms, and related software ecosystems. The company specializes in edge AI hardware modules, industrial-grade single-board computers, and compatible software toolchains designed to enable real-time data processing, computer vision, and autonomous or semi-autonomous operation in harsh environments. Core products and services - Edge computing hardware modules: AI-enabled system-on-modules, embedded SBCs, and rugged hardware suitable for automotive, industrial automation, and robotics applications; includes form factors and expansion options tailored to mission-critical deployments. - AI and computer vision software: native and optimized frameworks for edge inference, model deployment, and real-time analytics; software development kits, libraries, and middleware to support perception, object recognition, and sensor fusion. - Industrial automation platforms: integrated hardware-software stacks for manufacturing, logistics, and process automation; SCADA-like interfaces, telemetry, and remote management tools; edge-to-cloud connectivity and orchestration capabilities. - Development tools and ecosystems: SDKs, APIs, and development environments that facilitate model training, quantization, optimization, and deployment across Reconova hardware; documentation, support services, and professional services. - Networking and connectivity solutions: secure data transmission, device management, firmware updates, and remote diagnostics for deployed edge devices; supports integration with enterprise IT and OT systems. - Professional services and support: system integration, customization, deployment services, technical support, and consulting to tailor solutions to customer requirements; training programs for operators and engineers. Latest major company changes - Strategic partnerships and alliances: forms collaborations with automotive, robotics, and industrial firms to co-develop AI-enabled edge solutions and to integrate Reconova platforms into customer ecosystems. - Product launches and expansions: introduces new generations of edge AI modules and enhanced software toolchains, with expanded support for heterogeneous AI models, improved energy efficiency, and upgraded security features. - Growth initiatives and geographic expansion: expands manufacturing capacity or regional presence to support growing demand in key markets, including Asia-Pacific, Europe, and the Americas; increases local engineering and support resources to accelerate deployment. - Corporate structure and branding adjustments: has implemented organizational refinements to strengthen R&D, product management, and go-to-market functions in alignment with its growth trajectory. - Operational improvements: enhancement of supply chain resilience and component sourcing strategies to mitigate constraints, ensuring more reliable delivery timelines for enterprise customers. Additional context - Industry and segments: technology hardware and software for edge AI, embedded computing, and industrial automation; serves automotive, industrial, logistics, and robotics verticals. - Target markets: original equipment manufacturers (OEMs), system integrators, and enterprises deploying edge AI solutions; government and research institutions may also leverage Reconova capabilities. - Geographic operations: conducts activities across Asia-Pacific, Europe, and the Americas, with manufacturing, R&D, and regional sales and support capabilities; customer deployments span global markets. - Founding year and headquarters: established in the early 2010s; headquarters located in Hong Kong SAR. - Subsidiaries/parent relationships: operates as a standalone company with potential regional subsidiaries or affiliates to support local markets and customers; maintains technology partnerships and licensing arrangements with other tech firms. Note: The description above reflects Reconova Technologies Co., Ltd.’s role as a provider of edge AI hardware and software solutions, emphasizing its main products and services and highlighting significant recent developments and organizational context based on publicly available information. For precise, up-to-date details, consult the company’s official disclosures and filings.