FactSet has a total of 56 patents globally, out of which 24 have been granted. Of these 56 patents, more than 66% patents are active. United States of America is where FactSet has filed the maximum number of patents, followed by Canada and Europe, it has generated an annual revenue of $1.59 billion in the year 2021. Parallelly, United States of America seems to be the main focused R&D center and is also the origin country of FactSet.
FactSet was founded in the year 1978 by Howard Wille and Charles Snyder. Company is doing business in financial data and software. As of March 2022, FactSet has a market cap of $15.41 Billion.
Do read about some of the most popular patents of FactSet which have been covered by us in this article and also you can find FactSet’s patents information, the worldwide patent filing activity and its patent filing trend over the years, and many other stats over FactSet’s patent portfolio.
How many patents does the founder and the CEO of FactSet have?
The founders, Howard Wille and Charles Snyder have 0 patents respectively. The CEO, Philip Snow has 0 patents.
How many patents does FactSet have?
FactSet has a total of 56 patents globally. These patents belong to 22 unique patent families. Out of 56 patents, 37 patents are active.
How many FactSet patents are Alive/Dead?
How Many Patents did FactSet File Every Year?
Are you wondering why there is a drop in patent filing for the last two years? It is because a patent application can take up to 18 months to get published. Certainly, it doesn’t suggest a decrease in the patent filing.
|Year of Patents Filing or Grant||FactSet Applications Filed||FactSet Patents Granted|
How Many Patents did FactSet File in Different Countries?
Countries in which FactSet Filed Patents
|United States Of America||35|
Where are Research Centers of FactSet Patents Located?
10 Best FactSet Patents
US6338067B1 is the most popular patent in the FactSet portfolio. It has received 155 citations so far from companies like Oracle, IBM, and Accenture.
Below is the list of 10 most cited patents of FactSet:
|Publication Number||Citation Count|
Which Companies are using FactSet Patents to Advance their Research?
If patents or patents from a particular technology area of a company receive a lot of citations, it implies that the technology is being followed and incrementally innovated by the citing companies. It also indicates that citing companies are working on similar and closely related technologies.
The top citing companies in the FactSet patent portfolio are Trading Technologies International, IBM, and Chicago Mercantile Exchange.
List of the top forward citing Companies –
|Company||Number of Patents|
|Trading Technologies International||4|
|Chicago Mercantile Exchange||3|
|JPMorgan Chase Bank||3|
|Toronto Dominion Bank||1|
|Diakont Advanced Technologies||1|
Count of 102 and 103 Type Rejections based on FactSet Patents
Top FactSet Patents used in Rejecting Most Patent Applications
|Patent Number||Count of Rejected Applications|
What Percentage of FactSet US Patent Applications were Granted?
FactSet (Excluding its subsidiaries) has filed 4 patent applications at USPTO so far (Excluding Design and PCT applications). Out of these 3 have been granted leading to a grant rate of 100%.
Below are the key stats of FactSet patent prosecution at the USPTO.
Which Law Firms Filed Most US Patents for FactSet?
|Law Firm||Total Application||Success Rate|
|Glenn Patent Group||2||100.00%|
|Hunton Andrews Kurth Llp Hak Ny||2||100.00%|
List of FactSet Patents
|US20210357775A1||Method and system for mapping labels in standardized tables using machine learning|
|US20210216542A1||Systems and method for dynamically updating materiality distributions and classifications|
|US20190333078A1||Methods of assessing long-term indicators of sentiment|
|US20190205341A1||Systems and methods for measuring collected content significance|
|US10303938B2||Identifying a structure presented in portable document format (PDF)|
|US20150142520A1||Crowd-based sentiment indices|
|US8433645B1||Methods and systems related to securities trading|
|US8412620B1||Methods and systems related to trading engines|
|US8412617B1||Methods and systems related to securities trading|
|US8374955B1||Methods and systems related to trading engines|
|US8301537B1||System and method for estimating portfolio risk using an infinitely divisible distribution|
|US8301548B1||Methods and systems related to securities trading|
|US8296221B1||Methods and systems related to securities trading|
|US8170941B1||System and method for generating random vectors for estimating portfolio risk|
|US8156036B1||Methods and systems related to trading engines|
|US8108299B1||Methods and systems related to trading engines|
|US8095455B2||Coordination of algorithms in algorithmic trading engine|
|US7908203B2||Coordination of algorithms in algorithmic trading engine|
|US7904376B2||Rich graphical control interface for algorithmic trading engine|
|US7890409B2||System and method for providing reallocation and reverse optimization of a financial portfolio using a parametric leptokurtic distribution|
|US7882013B2||Drag-and-drop graphical control interface for algorithmic trading engine|
|US7882014B2||Display of market impact in algorithmic trading engine|
|US7870059B2||Display of selected items in visual context in algorithmic trading engine|
|US7870062B2||Coordination of algorithms in algorithmic trading engine with fast switching and safe mode|
|US7778897B1||Risk management system and method for determining risk characteristics explaining heavy tails of risk factors|
|US7711617B2||System and method for providing optimization of a financial portfolio using a parametric leptokurtic distribution|
|US20100094775A1||List execution and cash balancing|
|US7630931B1||System and method for the valuation of derivatives|
|US20050251466A1||Arrangements and methods for computer based decision support|
|US6405204B1||Alerts by sector/news alerts|
|US6338067B1||Product/service hierarchy database for market competition and investment analysis|
|US62380854P0||Systems and methods for measuring collected content significance|
|US62446312P0||Methods of assessing long-term indicators of sentiment|
|US62164458P0||Crowd-based sentiment indices|
|US62878739P0||Point In Time Aliasing and Multi Pipeline Architecture|
|EP3563257A4||Identifying a structure presented in portable document format (PDF)|
|EP1591940A1||Arrangements and methods for computer based decision support|
|CA3148823A1||Systems, methods, and devices for generating real-time analytics|
|CA3050005A1||Methods of assessing long-term indicators of sentiment|
|CA3048180A1||Identifying a structure presented in portable document format (PDF)|
|CA3035539A1||Systems and methods for measuring collected content significance|
|WO2021231195A1||Method and system for mapping labels in standardized tables using machine learning|
|WO2021146175A1||Systems and method for dynamically updating materiality distributions and classifications|
|WO2021016623A1||Systems, methods, and devices for generating real-time analytics|
|WO2018125669A4||Identifying a structure presented in portable document format (PDF)|
|WO2018132840A1||Methods of assessing long-term indicators of sentiment|
|WO2018044955A1||Systems and methods for measuring collected content significance|
|WO2016187504A1||Crowd-based sentiment indices|
|WO2008027785A2||Determining portfolio performance measures by weight-based action detection|
|WO2005008424A3||Providing optimization of a financial portfolio using a parametric leptokurtic distribution|
|WO2000072177A8||Alerts by sector/news alerts|
|AU2017386386A1||Identifying a structure presented in portable document format (PDF)|
|FR2915300A1||Probabilistic simulation electronic device for decision making assisting system, has random value generator transmitting values to control unit, where device receives data and algorithm to execute simulation program and transmits result|
|SE0401108D0||System and method for computer based decision support|