Ticker Symbol Lookup

Ticker Symbol Lookup with Brand Data

Look up any ticker symbol and get company logos, colors, and brand identity in a single API call.

No credit card required
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Passionfroot logo
Daydream logo
Kovai logo
Orange logo
SendX logo
Klarna logo
Super.com logo
Passionfroot logo
Daydream logo
Kovai logo
Orange logo
SendX logo
Klarna logo
Super.com logo
Passionfroot logo
Daydream logo
Kovai logo
Orange logo
SendX logo
Klarna logo
Super.com logo
Passionfroot logo
Daydream logo
Kovai logo
Orange logo
SendX logo
Klarna logo
Super.com logo

How it works

From ticker symbol to branded experience in three steps

— step 01

Extract the ticker

Capture ticker symbol from watchlist, portfolio, or search

— step 02

Fetch brand data

Map ticker to company domain and retrieve full brand kit

— step 03

Enrich the display

Show logos, colors, and company info alongside stock data

Live comparison

See the difference Context.dev makes

NFLX

NASDAQ

Unknown Company

$487.32
+8.24 (1.72%)

Market Closed

Market Cap
210.5B
Volume
3.2M
52W High
$498.45
P/E Ratio
42.8

About

No company information available.

Netflix backdrop
Netflix logo

Netflix

NFLX

"Watch anytime, anywhere with Netflix's wide variety of entertainment."

Streaming Platforms (Video, Music, Audio)
$487.32
+8.24(1.72%)
Market Cap
210.5B
Volume
3.2M
52W High
$498.45
P/E
42.8

Netflix is a premier online streaming platform that provides a vast library of TV shows, movies, and games to its users. With over 270 million paid memberships across more than 190 countries, it stands as one of the largest entertainment services globally.

Founded
1997
HQ
Los Gatos
Brand Colors
WITHOUT Context.dev
WITH Context.dev
50K+
Tickers Covered
1-10s
API Response Time
15+
Brand Data Points

Built for

Teams building modern financial experiences

Trading Platforms

Building modern investment experiences

The Challenge

Users struggle to scan watchlists of cryptic ticker symbols. AAPL, MSFT, GOOGL—they all blur together

How This Helps

Display company logos and brand colors next to every ticker for instant visual recognition

Traders identify positions at a glance. Decision speed increases, user confidence grows.

Portfolio Trackers

Helping investors monitor their wealth

The Challenge

Portfolio views are just rows of ticker codes and numbers. No visual hierarchy or quick recognition.

How This Helps

Add logos and brand colors to create visual portfolio allocations users can scan instantly

Investors see their holdings as brands they know. Engagement jumps, app stickiness increases.

Investment Apps

Making investing accessible to everyone

The Challenge

New investors find stock research intimidating. Ticker symbols feel like a foreign language.

How This Helps

Show familiar company logos, descriptions, and colors to make stocks feel approachable

Beginners connect stocks to brands they know. Onboarding friction disappears.

Financial News Platforms

Delivering market insights and updates

The Challenge

Articles mention dozens of companies. Readers have to mentally map tickers to actual businesses.

How This Helps

Automatically display company logos alongside mentions in articles and market updates

Readers absorb information faster. News becomes scannable and more engaging.

Robo-Advisors

Automating personalized investment advice

The Challenge

Portfolio recommendations look generic and technical. Clients struggle to understand what they own.

How This Helps

Enrich recommended portfolios with visual company branding and clear descriptions

Clients trust recommendations more. They understand their investments, not just ticker symbols.

Market Screeners

Helping users discover investment opportunities

The Challenge

Screen results show hundreds of ticker symbols. Users can't quickly identify companies they recognize.

How This Helps

Add logo thumbnails and brand colors to every result for visual pattern recognition

Users scan results 60% faster. They spot opportunities in familiar brands instantly.

Context at scale

Join 5,000+ businesses using Context.dev to enrich their products with structured web data.