AMBARELLA INC
NASDAQ
US Flag
AMBA

AMBA
AMBARELLA INC
US Flag
NASDAQ
 
Next Earning
Market Cap
EPS
Div Yield
P/E
Next Earning
Market Cap
EPS
Div Yield
P/E

AMBA Stock Chart

Recent
All time

Financials

Valuation
Enterprise Value/EBITDA, TTM
Enterprise Value, FQ
Market Cap — Basic
Number of Employees
Number of Shareholders
Price/Earnings, TTM
Price/Revenue, TTM
Price/Book Ratio, FY
Price/Sales Ratio, FY
Balance Sheet
Current Ratio, FQ
Debt to Equity, FQ
Net Debt, FQ
Quick Ratio, FQ
Total Assets, FQ
Total Debt, FQ
Operating Metrics
Return on Assets, TTM
Return on Equity, TTM
Return on Invested Capital, TTM
Revenue per Employee, TTM
Price History
Average Volume (10 day)
Beta - 1 Year
Price - 52 Week High
Price - 52 Week Low
Dividends
Dividends Paid, FY
Dividends per Share, FY
Expected Annual Dividends
Dividends Yield
Margins
Net Margin, TTM
Gross Margin, TTM
Operating Margin, TTM
Pretax Margin, TTM
Income Statement
Basic EPS, Net Income
Earnings per Share, Basic, TTM
EBITDA, TTM
Gross Profit, FY
Last Annual EPS
Last Annual Revenue, FY
Net Income, FY
Total Revenue, FY
Free Cash Flow, TTM

Profile

Sector: Technology
Industry: Semiconductors
Employees: 750
Ambarella, Inc. is engaged in the development of high-definition (HD), ultra HD video compression, image processing and computer vision solutions. Its products are used in a variety of human and computer vision applications, including security camera, advanced driver assistance (ADAS), electronic mirror, drive recorder, driver/cabin monitoring, autonomous driving, and other robotic applications. Its low-power, high-resolution video compression, image processing, and neural network processors and software enables cameras to extract data from high-resolution video streams. It provides driver assistance systems, smart electronic mirrors, drive recorders and autonomous vehicles. Its CVflow architecture supports a variety of computer vision algorithms, including stereo obstacle detection and terrain mapping technology, and allows customers to differentiate their products by porting their own algorithms and neural networks to its CVflow-based chips.

News

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