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RANKINGSABOUT USCONTACT
Rankings
RANKCOMPANYPatent Capital (PC)RATING
1
Qualcomm
United States
$ 2,093,338,235AAA
2
Apple
United States
$ 1,230,332,210AAA
3
Micron Technology
United States
$ 1,221,308,463AAA
4
Japan Display
Japan
$ 970,463,420AAA
5
Kioxia Holdings
Japan
$ 750,008,139AAA
6
Canon
Japan
$ 742,249,429AAA
7
Sharp
Japan
$ 660,106,133AAA
8
Intel
United States
$ 592,014,623AAA
9
Murata Manufacturing
Japan
$ 521,489,848AAA
10
Seiko Epson
Japan
$ 468,020,916AAA
11
Renesas Electronics
Japan
$ 375,735,012AAA
12
Mitsubishi Electric
Japan
$ 374,039,165AAA
13
International Business Machines
United States
$ 350,863,526AAA
14
Kyocera
Japan
$ 290,061,022AA
15
Texas Instruments
United States
$ 262,479,697AA
16
Microsoft
United States
$ 234,811,177AA
17
Panasonic Holdings
Japan
$ 230,558,793AA
18
Sony Group
Japan
$ 215,201,062AA
19
Rohm
Japan
$ 197,358,676AA
20
Denso
Japan
$ 194,885,345AA
21
NXP Semiconductors
Netherlands
$ 186,744,102AA
22
Alphabet A
United States
$ 175,562,469AA
23
Fuji Electric
Japan
$ 175,183,191AA
24
NEC
Japan
$ 164,431,522AA
25
Toyota Jidosha
$ 158,255,355AA
26
Tokyo Electron
Japan
$ 157,274,887AA
27
TDK
Japan
$ 156,504,572AA
28
Dell Technologies
United States
$ 136,412,527AA
29
Dainippon Printing
$ 133,439,558AA
30
$ 125,341,849AA
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What we do

We leverage our Infringement Database to provide game-changing data and advisory to a wide range of clients, including global corporations and top-tier law firms, activist hedge funds, PE/VC firms, legal funding platforms, and other financial services providers. Our data has been used to support trading, investment, patent monetization, and due diligence strategies. Put simply: We generate patent insights you can take to the bank.

Rating Methodology

Our methodology for evaluating and pricing patents is based on two key dimensions: the likelihood of infringement of the patent (technical analysis) and the relative market impact of the potentially infringing product (commercial analysis). This approach enables patent holders, investors and legal professionals, for the first time ever, to obtain patent value estimations using structured data and transparent mathematical functions.

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