The Fastest and Most Powerful Way to Build
with Financial Data

Financial Data Application Interface

No APIs. No scraping. No maintaining and building databases. Just pure SQL.
Direct access to our maintained and scalable database with 30+ years of company financials, metrics, and more.
Run queries. Get results. Build anything.

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400M+

Data requests
served monthly

80K+ Stocks & ETFs

Comprehensive coverage across
50+ global exchanges

Native SQL Queries

No complex APIs, just a simple,
familiar syntax

30+ Years History

From 1990 to today. Clean,
structured, and reliable

Wisesheets is trusted by professionals at over 1,000 firms

BlackRock
Manulife
BMO
Wells Fargo
Morgan Stanley
Vanguard
Deloitte
KKR
KPMG
PwC
BlackRock
Manulife
BMO
Wells Fargo
Morgan Stanley
Vanguard
Deloitte
KKR
KPMG
PwC

Built for Builders, Made for Scale

Wisesheets connects you directly to the source without middleware, complex api calls, or abstractions.
Just your SQL client and the truth.

Searchable With SQL

Query exactly the data build powerful screeners and other applications only possible via SQL queries.

SELECT ticker, revenue, net_income
FROM income_statements
WHERE revenue > 100000000000
ORDER BY revenue DESC;

Key Metrics & Ratios

Revenue growth, P/E, ROIC, margins, and hundreds more, pre-computed and instantly filterable.

Key Metrics and Ratios

Company Profile Data

Sector, industry, employee count, exchange listings, and more.

Company Profile Data

30+ Years of Financial Statements

Income statements, balance sheets, and cash flow statements all clean and normalized across 50,000+ stocks.

30 Years of Financial Statements

Massive Coverage

50+ global exchanges, 50K+ equities and 400M+ data points served monthly.

Massive Coverage Global Map

How It Works

Connect to the Database

We send you credentials. You connect using your favorite SQL client or BI tool.

Query What You Want

Filter for companies, metrics, or time periods with simple queries like:

Build Without Barriers

Use the data to power apps, platforms, reports, bots, or internal tools.

SELECT date, revenue, grossProfit, operatingIncome, netIncome, EPS, costOfRevenue, operatingExpenses
FROM annual_income_statement
WHERE symbol = 'AAPL'
ORDER BY date DESC
LIMIT 8;
IDTickerDateRevenueGross ProfitOperating IncomeNet IncomeEPSCost of RevenueOperating Expenses
1AAPL2024-09-28391.0B180.7B123.2B93.7B6.11210.4B57.5B
2AAPL2023-09-30383.3B169.1B114.3B97.0B6.16214.1B54.8B
3AAPL2022-09-24394.3B170.8B119.4B99.8B6.15223.5B51.6B
4AAPL2021-09-25365.8B152.8B108.9B94.7B5.67213.0B43.8B
5AAPL2020-09-26274.5B105.0B66.3B57.4B3.31169.6B38.8B
6AAPL2019-09-28260.2B98.4B63.9B55.3B2.99161.8B34.0B
7AAPL2018-09-29265.6B101.8B70.9B59.5B3.00163.8B31.4B
8AAPL2017-09-30229.2B88.2B61.3B48.4B2.32141.0B27.0B

Use Cases

Unlike traditional APIs, our service allows you to build exceptionally powerful applications by querying our entire universe of stocks and retrieving only the precise data you need.

Stock Screeners & Research Platforms

Run advanced filters on valuation, fundamentals, or price data.

Stock Screeners & Research Platforms

Automated Investing Tools

Feed clean historical and live financials into trading systems.

Automated Investing Tools

Custom Dashboards & Analytics

Build internal tools or public-facing dashboards in minutes.

Custom Dashboards & Analytics

Data Bots & Web Apps

Power your Reddit bot, newsletter, or Substack with fresh financials.

Data Bots & Web Apps

Pricing Tailored to Your Needs and Scale

Whether you're just getting started or managing high-volume requests, our flexible plans grow with you.

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Custom Database Access

Built around your data coverage, usage, and access needs.

PricingCustom pricingScope it with us before you commit.
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Direct access to SQL database

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30+ years of historical financial data

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Financial statements, key metrics, and ratios

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Global stocks and ETFs coverage

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Bulk querying and exports

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Setup support for your workflow

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Commercial use license

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Frequently Asked Questions

Have questions? We have answers.

Start Building Today

Forget building and maintaining a financial database. Build directly on clean, structured financial data
with just a few lines of code.

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