Digital China Holdings Limited · HKEX:861

Digital China — FY2021 Earnings Presentation

19 slides from Digital China's earnings presentation, March 2022

  1. Slide 1: DC Holdings Limited FY2021 Results Presentation

    DC Holdings Limited FY 2 0 2 1 Results P resenta tio n March 2022 0

  2. Slide 2: Disclaimer

    Disclaimer This presentation may contain certain projection and forward looking statements that involve risks, uncertainties and assumptions. If the risks or uncertainties ever materialize or the assumptions prove incorrect, the results of Digital China Holdings may differ materially from those expr

  3. Slide 3: Contents

    C O N T E N T S 01 02 03 FY21 FY21 FY22 Company Overview Operating Performance Aspirations 2/18

  4. Slide 4: Part 1: FY21 Company Overview

    Part 1 FY21 Company Over view Strategic Positioning | Business Model | Strategic Advancement | Highlights 3/18

  5. Slide 5: Strategic Positioning: Leading Big Data Technology

    Strategic Positioning DC Holdings was founded in 2000 and went public in 2001. Over the last two decades, we have committed to “Digitalizing China” as our core mission. Adhering to its corporate culture of “Responsibility, Passion, Innovation and Creating Shared Value”, we deploy big data and A.I. t

  6. Slide 6: Our Business Model

    Our Business Model Government Enterprise - 20 years+ experience in China 2G space - 30 years+ experience in enterprise and financial institution clients Customers - Pioneered over 20 national standards covering digital twin/big data policies - #1 for 9 straight years in Banking Core System & - Empow

  7. Slide 7: Strategic Advancement

    Strategic Advancement • Sales of data software products focused on big data and A.I., as well as data solutions for core use cases Big Data Supply Chain City Digital Native Products and Digital Native Transformation Transformation Solutions • End-to-end data-enabled supply chain services, Value Add

  8. Slide 8: Key Highlights

    Key Highlights Consolidated Revenue Consolidated Gross Profit Big Data Product Revenue (HK$ million) (HK$ million) (HK$ million) 20,539 3,765 353 +4% +12% +102% Profit attributable to EPS Final Dividend shareholders (HK$ million)* (Hong Kong cents) (HK$ cents/share)** 818* (712) 46.39 15 (13) +21%*

  9. Slide 9: Part 2: FY21 Operating Performance

    FY21 Operating Part 2 Per formance Segment Overview | Segment Highlights | Case Studies 8/18

  10. Slide 10: Segment Overview

    Segment Overview Revenue Focused on Big Data Products & Solutions • Standardized product sales revenue increased by 102% y-o-y Big Data Products 2,490 • Gross profit margins at 83%; substantial increase in R&D spend and Solutions 1,952 28% Driving clients in key cities, industries • Increase share o

  11. Slide 11: Big Data Products and Solutions Highlights

    Big Data Products and Solutions Highlights Data Fabric Data Hub Digital Twin Data Yan Cloud DaaS Sysnet Management /Governance / City Information Model / Intelligence / Security 353 Product revenues of HKD353mn; y-o-y growth of 102%; GP margins of 83%; Accounted for 20% of Segment Revenue 175 Over 2

  12. Slide 12: Software and Operating Services Highlights

    Software and Operating Services Highlights • Data driven end-to-end data-enabled supply chain operation services • Revenue growth 21% y-o-y, Gross profit margins at 21% • Top 50 customers contributed c.75% of profits Supply chain • Focus on service quality and client share of wallet expansion,62% of

  13. Slide 13: Traditional Services Highlights

    Traditional Services Highlights • Provides e-commerce supply chain services 3,626 • Continued client portfolio optimization with a focus on better margins; revenues - 4,925 26%, but gross margins +2% E-commerce supply chain • Serves as a base for client conversion; 25% of customers in FY21 have succ

  14. Slide 14: Case Study – to G

    Case Study – to G Smart Environmental Protection Project in Yanqing District, Beijing ◼ Requirement:A 3D real-time monitoring of the environment and comprehensive analytics of environmental information, as well as the early risk detection through big data analysis ◼ Requirement:3D database model for

  15. Slide 15: Case Study – to B

    Case Study – to B Case1 Existing Client A:Fulfilment services as an entry point to direct the sales of supply chain services and data services • Revenue from e-commerce supply chain: 100mn+ Data-driven • Cross-sell supply chain services: 10mn+ revenue Big data products and solutions • Up-sell big da

  16. Slide 16: Part 3: FY22 Aspirations

    Part 3 FY22 Aspirations Evolution | FY22 Business Outlook 15/18

  17. Slide 17: Evolution since FY18

    Evolution since FY18 2018 2019 2020 2021 2022 City Knowledge Graph Digital Twin CIM Platform Data Hub Yan Cloud DaaS Data Fabric Spatial-temporal A.I. algorithm KingKoo Manager Supply Chain Intelligent Products Kingkoo DATA Kingkoo DATA3.0 AIoT Mgt Platform Algorithm Library platform Human+Robot 1.0

  18. Slide 18: FY22 Business Outlook

    FY22 Business Outlook Leveraging“Spatial-temporal data layer+A.I.+Innovation use cases”to build a Big Data Product and Solution Matrix which enables further development of innovative use cases Growth Drivers Ecosystem Leverage Tap into a vast client pool under the wider DC ecosystem Innovative Use C

  19. Slide 19: PIN FE AR

    PIN FE AR DC Holdings m WOR Wt 18/18

Digital China Holdings — FY2021 Earnings Presentation on 6ix