1 Finanx AI Technologies, Inc.

1 Finanx AI Technologies, Inc.

OOTC:FUXA
13.80
USD
+0.30
(+2.22%)
-0.18EPS
1.07BMarket Cap
2013 Y
2014 Y
TTM
Revenue per Share
- -
- -
- -
Basic EPS, GAAP
- -
-0.14
-0.18
Free Cash Flow per Basic Share
- -
-0.14
-0.11
Dividend per Share
- -
- -
- -
Book Value per Share
0.02
-0.02
-0.05
Tangible Book Value per Share
0.02
-0.02
-0.05
Basic Weighted Avg Shares
- -
- -
- -
Sales/Revenue/Turnover
- -
- -
- -
Operating Margin (%)
- -
- -
- -
Depreciation Expense
- -
- -
- -
Net Income, GAAP
- -
- -
- -
Effective Tax Rate (%)
- -
- -
- -
Profit Margin (%)
- -
- -
- -
Working Capital
- -
- -
- -
LT Debt
- -
- -
- -
Total Equity
- -
- -
- -
Return on Invested Capital (%)
- -
- -
- -
Return on Capital (%)
- -
- -
- -
Return on Common Equity (%)
- -
- -
- -

Capital Structure

USD

•

in mil. unless spec.
Feb'15
May'15
Aug'15
ST Debt
- -
- -
- -
LT Borrowings
- -
- -
- -
LT Finance Leases
- -
- -
- -
Preferred Equity and Hybrid Capital
- -
- -
- -
Shares Outstanding
- -
- -
- -
Market Capitalization
- -
608
1,069

Working Capital

USD

•

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

Growth Rates

USD

•

in mil. unless spec.

(avg. rate of change)

10 years
5 years
1 year
Total Equity
- -
- -
-232.3%
Free Cash Flow
- -
- -
- -
Net Income, GAAP
- -
- -
- -
Sales/Revenue/Turnover
- -
- -
- -
Total Cash Common Dividend
- -
- -
- -

Quarterly Revenue

USD

•

in mil. unless spec.

Year

Q1
Q2
Q3
Q4
FY
2013
- -
- -
- -
- -
- -
2014
- -
- -
- -
- -
- -
2015
- -
- -
- -
- -
- -

Quarterly Earnings Per Share

USD

•

in mil. unless spec.

Year

Q1
Q2
Q3
Q4
FY
2013
- -
- -
- -
- -
- -
2014
-0.02
-0.02
-0.03
-0.67
-0.14
2015
-0.02
- -
-0.05
- -
- -

Quarterly Dividends Per Share

USD

•

in mil. unless spec.

Year

Q1
Q2
Q3
Q4
FY
2013
- -
- -
- -
- -
- -
2014
- -
- -
- -
- -
- -
2015
- -
- -
- -
- -
- -

Company Description

CEO
Wah Chew Hock
Sector
Technology services
Industry
Internet software/Services
Address
Charlotte United States
IPO Date
Sep 26, 2014
Business
1 Finanx AI Technologies, Inc. is a financial technology and artificial intelligence solutions company that specializes in the development and deployment of AI-powered financial intelligence platforms, predictive market analytics, algorithmic trading technologies, and digital wealth management software for institutional and individual clients. The company operates through its Advanced Financial Technology and AI Applications segments, offering an integrated suite of proprietary software and cloud-based services. Its core product and service offerings include: proprietary algorithmic trading systems and automated execution platforms; machine learning-driven predictive modeling and market trend forecasting engines for equities, commodities, foreign exchange, and digital assets; automated portfolio optimization and robo-advisory tools; enterprise risk analytics, credit scoring, and compliance monitoring software; real-time financial sentiment analysis and multi-source data aggregation feeds; and customized software-as-a-service (SaaS) application programming interface (API) solutions for banks, broker-dealers, and financial institutions. The company serves hedge funds, family offices, asset management firms, commercial financial institutions, and retail investors primarily across the Asia-Pacific region and North America. Founded in 1993 and headquartered in Jinjiang, China, with corporate and operational representation in the United States, the company previously operated as Fuxing China Group Limited with legacy operations in zipper and textile accessories manufacturing. In recent major developments, the company executed a comprehensive corporate restructuring, rebranding, and formal name change to 1 Finanx AI Technologies, Inc. to facilitate a strategic pivot from industrial manufacturing to high-growth artificial intelligence and fintech solutions. In alignment with this strategic transformation over the past two years, the company has divested non-core legacy manufacturing assets, launched next-generation generative AI analytics and machine learning trading suites, entered into strategic data and infrastructure partnerships with cloud hosting and market data providers, and expanded its software development and engineering teams to accelerate global commercial deployment.