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FUNDAMENTALS βeta/

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Zero lag financials.
Announcement to model in minutes.

Table of historical revenue for Pfizer
Pfizer Historical Sales : qk_fn(qk_ticker('PFE'), 'SALE')

GAAP, Non-GAAP.
As Filed. Restatements.
15+ years. 10,000 companies.
10+ billion data points.

... [we were] just blown away to see platforms costing $10,000 a year fail to report Tesla's full financials for nearly two days. Or when beta users can't find the Gap Inc's results anywhere else (even from the SEC!) ahead of a long holiday weekend with nearly 6 hours left to trade. Or major web platforms (who buy data from some of the "best") confuse a trillion dollar firm's EPS with Diluted EPS... and the list goes on
— Qk Founders
paraphrased and sanitized hallway rant.

Normalized, augmented, tabularized.

It's not good enough just to be right. You need to be fast. We've built our pipeline from scratch to deliver comprehensive financial data to you before almost any other platform can. Converting raw content into rich features to help you build single firm models and power large cross sectional strategies.

A single line item gets augmented with 39 additional dimensions
Faster insights

Including fields such as quarterly and annualized numbers, reporting lags, fiscal days and restatement flags help to make code easier to write and results more reliable.
allowing for more consistent interpretation and depth of analysis.

Oh, and the data is delivered directly into R or Python with an incredibly intutive call.

Build trust with world-class auditing.

In session financial audit of JNJ revenue in income statement
Johnson & Johnson Historical Sales
Have confidence in your data. We made auditing a central feature from the beginning to help us build the greatest tool anywhere. And you can use it too.

With a single function call, the results you see can be audited to help understand how they fit the larger picture, as well provide confidence in what we are producing.
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