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Dexcom: History, Art & Companies
Dexcom, Inc. is an American multinational healthcare company that develops, manufactures, produces and distributes a line of continuous glucose monitoring (CGM) systems for diabetes management. It operates internationally with global headquarters and R&D center in San Diego, California, U.S., and manufacturing facilities in Mesa, Arizona, U.S.; Batu…
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Dexcom topic overview
The analysis highlights History, Art and Companies as prominent areas in the source structure around Dexcom.
Related topics
24
Source areas
4
Connected nodes
28
Extracted relationships
88
Concept neighborhoods
12
Bridge connections
28
What this topic covers Research coverage
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
History · 10 topics
Overview · 7 topics
Partnerships · 6 topics
Awards and recognition · 1 topics
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
Key facts & relationships
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Founded
1999; 27 years ago (1999)
Headquarters
San Diego, California, United States
Key people
Jacob (Jake) Leach (chairman, president & CEO)
Net income
US$836 million (2025)
Number of employees
11,100 (2025)
Operating income
US$911.8 million (2025)
Explore all related topics Closing gaps
A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
How Dexcom connects Entity context
Entity context groups extracted connections by relationship type. Counts show recurrence in the analyzed source; the examples are research signals, not claims about importance.
The extracted context around Dexcom shows recurring relationship patterns in the source. For example, Dexcom → BlueStar, CGM, Companion Medical, Control-IQ, December, Dexcom G6, Dexcom G7Dexcom, FDA, G5, G6, G6 CGM, Google Life Sciences, In February, In June, In November, Inc, InPen, Insulet Corporation, Insulet's, January Another extracted example is Dexcom → Animas Corporation, Bret Megargel, CE, Dexcom STS Continuous Glucose, Drug Administration, During February, Edwards Lifesciences, Ellen Preston, FDA, Food, G5, G6, In, Inc, Insulet, Insulet Corporation, John Burd, Lauren Otsuki, May, Monitor. Use these groups to spot repeated connection types before inspecting the individual relationships.
Dexcom
Top relations
related to Partnerships· 34
Dexcom → BlueStar, CGM, Companion Medical, Control-IQ, December, Dexcom G6, Dexcom G7Dexcom, FDA, G5, G6, G6 CGM, Google Life Sciences, In February, In June, In November, Inc, InPen, Insulet Corporation, Insulet's, January
related to history· 30
Dexcom → Animas Corporation, Bret Megargel, CE, Dexcom STS Continuous Glucose, Drug Administration, During February, Edwards Lifesciences, Ellen Preston, FDA, Food, G5, G6, In, Inc, Insulet, Insulet Corporation, John Burd, Lauren Otsuki, May, Monitor
Relationships are represented as Subject → Predicate → Object triples. Confidence describes extraction strength, not the real-world importance of a relationship; lower-confidence rows may be contextual rather than explicit.
TTTA extracted 88 structured relationships around Dexcom. Examples in this analysis include Dexcom → Founded → 1999; 27 years ago (1999) and Dexcom → Headquarters → San Diego, California, United States. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Dexcom
Founded
1999; 27 years ago (1999)
1.00
infobox
Dexcom
Headquarters
San Diego, California, United States
1.00
infobox
Dexcom
Key people
Jacob (Jake) Leach (chairman, president & CEO)
1.00
infobox
Dexcom
Net income
US$836 million (2025)
1.00
infobox
Dexcom
Number of employees
11,100 (2025)
1.00
infobox
Dexcom
Operating income
US$911.8 million (2025)
1.00
infobox
Dexcom
Products
Medical devices
1.00
infobox
Dexcom
Revenue
US$4.66 billion (2025)
1.00
infobox
Dexcom
Total assets
US$7.50 billion (2025)
1.00
infobox
Dexcom
Total equity
US$3.50 billion (2025)
1.00
infobox
Dexcom
Traded as
Nasdaq: DXCM
1.00
infobox
Dexcom
Traded as
Nasdaq-100 component
1.00
infobox
Dexcom
Traded as
S&P 500 component
1.00
infobox
Dexcom
Type
Public
1.00
infobox
Dexcom
Website
dexcom.com
1.00
infobox
No triples extracted yet.
Related concept clusters Concept neighborhoods
Concept neighborhoods group terms that sit near one another in the extracted graph. They are useful for discovering adjacent language and context, but proximity does not by itself imply a factual relationship.
The concept neighborhoods around Dexcom bring nearby vocabulary together. In this analysis, examples include Glucose, Continuous and Monitoring. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Dexcom
Glucose
Continuous
Monitoring
Data
Received
Cgm
Fda
Care
Inc
Approval
Agreement
System
dexcom
Glucose
Continuous
Monitoring
Data
Received
Cgm
Fda
Care
Inc
Approval
Agreement
System
continuous glucose monitoring
Monitoring
Glucose
System
Systems
Agreement
Dexcom
Care
Diabetes
Insulin
Approval
Inc
Seven
tandem diabetes care, inc.
G6
Systems
Care
Diabetes
Inc
Insulin
Glucose
Management
Monitoring
Agreement
Announced
Integration
tandem diabetes care
G6
Systems
Care
Diabetes
Inc
Insulin
Glucose
Management
Monitoring
Agreement
Announced
Integration
diabetes
G6
Systems
Care
Inc
Insulin
Glucose
Management
Monitoring
Agreement
Announced
Integration
Partnership
intensive care unit
G6
Diabetes
Insulin
Glucose
Integration
Partnership
Systems
Continuous
G5
Inc
Dexcom
Data
diabetes management
G6
Systems
Care
Inc
Insulin
Partnership
Glucose
Management
Monitoring
Agreement
Announced
Integration
Connections between topic areas Semantic bridges
Semantic bridges connect parts of the graph that would otherwise be more separate. A bridge is a structural signal in this analysis, not a claim that the two topic areas are equivalent.
For Dexcom, one of the stronger structural bridges in this analysis connects Dexcom with History. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
Dexcom
Nodes29
Edges28
Triples88
Avg. degree1.93
Density0.068966
Components1
Source & methodology
TTTA analyzes the structure around Dexcom to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Art & Companies, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
