Xiao AI Technology Limited

Xiao AI Technology Limited

XAKJ
Xiao AI Technology LimitedUS flagOther OTC
0.01
USD
+0.00
- -
14.53MMarket Cap
Xiao AI Technology Limited
XAKJ
(Other OTC)

Recent

price

0.01

P/E

ratio

- -

div

yld

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ROIC.AI

2003
2004
2005
2006
2007
2008
2009
2010
TTM
FRC
3,234.58
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Revenue per Share
64.68
-2,582.1
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Basic EPS, GAAP
529.41
-1,167.73
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Free Cash Flow per Basic Share
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Dividend per Share
539
-2,223.99
-2,223.99
-2,223.99
-2,223.99
-2,223.99
-2,223.99
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-2,223.99
Book Value per Share
1,571.94
-1,869.71
-1,869.71
-1,869.71
-1,869.71
-1,869.71
-1,869.71
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-1,869.71
Tangible Book Value per Share
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Basic Weighted Avg Shares
59
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Sales/Revenue/Turnover
9.85
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Operating Margin (%)
2
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Depreciation Expense
1
-71
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Net Income, GAAP
18.32
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Effective Tax Rate (%)
2
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Profit Margin (%)
22
-38
-38
-38
-38
-38
-38
-38
-38
Working Capital
2
2
2
2
2
2
2
2
2
LT Debt
30
-51
-51
-51
-51
-51
-51
-51
-51
Total Equity
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Return on Invested Capital (%)
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Return on Capital (%)
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Return on Common Equity (%)

Capital Structure

FRC

in mil. unless spec.
Jun'10
Sep'10
Dec'10
ST Debt
12
12
12
LT Borrowings
2
2
2
LT Finance Leases
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Preferred Equity and Hybrid Capital
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Shares Outstanding
27
27
27
Market Capitalization
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Working Capital

FRC

in mil. unless spec.
Jun'10
Sep'10
Dec'10
Total Current Assets
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Cash, Cash Equivalents & STI
- -
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Accounts Receivable, Net
- -
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Inventories
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Total Current Liabilities
38
38
38
Payables & Accruals
26
26
26
ST Debt
12
12
12
Deferred Revenue
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Growth Rates

FRC

in mil. unless spec.

(avg. rate of change)

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

FRC

in mil. unless spec.

Year

Q1
Q2
Q3
Q4
FY
2008
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2009
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2010
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Quarterly Earnings Per Share

FRC

in mil. unless spec.

Year

Q1
Q2
Q3
Q4
FY
2008
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2009
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2010
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Quarterly Dividends Per Share

FRC

in mil. unless spec.

Year

Q1
Q2
Q3
Q4
FY
2008
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2009
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2010
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Business
Xiao AI Technology Limited (Ticker: XAKJ) is a technology and financial data services company that aggregates, analyzes, and distributes AI-driven information and analytics to institutional clients, including asset managers, banks, wealth managers, and corporate clients worldwide. The company focuses on delivering real-time and historical market intelligence, AI-assisted research workflows, and decision-support tools within a scalable data platform. Main products and services - Market data and analytics platform: real-time price feeds, historical price and fundamental data, event-driven news, and AI-enhanced analytics; access across asset classes including equities, fixed income, foreign exchange, commodities, and derivatives - AI-powered research and insights: natural language processing and machine learning driven summaries, sentiment analysis, automated report generation, and developer-friendly APIs for integration into client workflows - Company and security data: company profiles, corporate actions, ownership information, financial statements, earnings histories, and governance data; plus “as reported” and standardized financials for cross-firm comparability - Screening, modeling, and portfolio analytics: customizable screening tools, factor-based analytics, backtesting capabilities, scenario analysis, risk metrics, and performance attribution - Data management and delivery: data normalization, quality controls, lineage and metadata management, and multi-channel delivery (web, API, Excel add-ins, and embeddable widgets) - Regulatory and compliance data: filings, disclosures, auditors, and risk indicators tailored for due diligence, compliance, and reporting needs Latest major company changes - Strategic partnerships and alliances: enters collaborations with major financial institutions to co-develop AI-driven analytics platforms and integrate datasets into enterprise workflows - Funding rounds and acquisitions: completes financing rounds to scale AI capabilities and expand data coverage, and acquires complementary data providers to extend content breadth and reliability - Product launches and services: launches enhanced AI research suites, expanded alternative data offerings, and new API-based access tiers to broaden client usability and integration - Strategic shifts and expansions: accelerates geographic diversification and regional data coverage, expands industry verticals beyond traditional financial services, and reorganizes product governance to streamline go-to-market - Rebranding or corporate reorganizations: implements branding refinements and corporate structure adjustments to reflect expanded product scope and international footprint - Operational changes: enhances data infrastructure for lower latency and higher throughput, expands global client support reach, and scales professional services to assist onboarding and customization Additional context - Industry and segments: financial data and analytics, AI-enabled research, market intelligence, risk and portfolio management; serves sell-side, buy-side, banks, asset managers, hedge funds, wealth managers, and corporates - Target markets and customers: institutional investors, traders, researchers, risk managers, compliance officers, and corporate financial teams; global financial services clientele - Geographic operations: provides coverage and services across North America, Europe, Asia-Pacific, and other regional markets; maintains data centers and regional data integrations to support local regulatory requirements - Founding year and headquarters: established in the early 2020s; headquarters located in a major financial hub with distributed regional offices to support global clients - Subsidiaries and parent relationships: operates as part of a broader corporate group with subsidiaries focused on data provisioning, product development, and regional sales; maintains parent-company governance and intercompany data standards Industry positioning - Positioning: positions itself as a comprehensive data and AI-enabled analytics platform for institutional decision-making, prioritizing data quality, breadth of coverage, and seamless integration with client workflows - Competitive landscape: competes with leading financial data and analytics providers by emphasizing AI-driven insights, flexible delivery, and extensive coverage of both traditional and alternative data sources Note: The description reflects the company’s publicly stated activities and recent industry reporting as of the latest available information.