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Agrokor: History, Companies & Art
Agrokor (Croatian pronunciation: ) was a conglomerate, largely centered in agribusiness, with headquarters in Zagreb, Croatia. Founded in 1976 as a flower grower, it became a joint stock company in 1989, with 100 percent ownership held by founder Ivica Todorić. It greatly expanded its operations in the following 25 years by acquiring several large…
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Agrokor topic overview
The analysis highlights History, Companies and Art as prominent areas in the source structure around Agrokor.
Related topics
62
Source areas
3
Connected nodes
65
Extracted relationships
93
Related term clusters
15
Bridge connections
65
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 · 30 topics
Acquisitions · 17 topics
Overview · 15 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
1989 (1989)
Industry
Food and soft drinks, retail
Owner
Adria Group Holding B.V. (95.52%) (as of 2016)
Headquarters
Zagreb, Croatia
Area served
Southeast and Central Europe
Defunct
October 13, 2022 (2022-10-13)
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Advanced semantic analysis
How Agrokor 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 Agrokor shows recurring relationship patterns in the source. For example, Agrokor → Agrolaguna, Baldauf, Belgrade, Belje, BiH, Dijamant, Dubrovnik, EAUSCAR, Fonyodi, Frikom, Hungary, Idea, Jamnica, Jana, Kozmo, Medijator, Osijek, PIK Vrbovec, Poreč, Serbia Another extracted example is Agrokor → Agroprerada, Bobis, Croatian War, DIP, Independence, Jamnica, Jaska, Konzum, Ledo, PET, Podrum Mladina, Silos-mlinovi, Solana Pag, Super Konzum, The Agrokor Group, Todorić, Turopolje, Zadar, Zvijezda. Use these groups to spot repeated connection types before inspecting the individual relationships.
Agrokor
Top relations
related to 2003–2017: Regional expansion and dominance· 24
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 93 structured relationships around Agrokor. Examples in this analysis include Agrokor → Area served → Southeast and Central Europe and Agrokor → Defunct → October 13, 2022 (2022-10-13). The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Agrokor
Area served
Southeast and Central Europe
1.00
infobox
Agrokor
Defunct
October 13, 2022 (2022-10-13)
1.00
infobox
Agrokor
Divisions
Retail Group, Food Group, Business Group
1.00
infobox
Agrokor
Founded
1989 (1989)
1.00
infobox
Agrokor
Founder
Ivica Todorić
1.00
infobox
Agrokor
Headquarters
Zagreb, Croatia
1.00
infobox
Agrokor
Industry
Food and soft drinks, retail
1.00
infobox
Agrokor
Key people
Fabris Peruško (Extraordinary Commissioner)
1.00
infobox
Agrokor
Net income
€192.48 million (2018)
1.00
infobox
Agrokor
Number of employees
50,903 (2017)
1.00
infobox
Agrokor
Owner
Adria Group Holding B.V. (95.52%) (as of 2016)
1.00
infobox
Agrokor
Revenue
€5.223 billion (2018)
1.00
infobox
Agrokor
Subsidiaries
Konzum (81%) Ledo (79%) Jamnica (80%)
1.00
infobox
Agrokor
Successor
Fortenova Group
1.00
infobox
Agrokor
Total assets
€4.278 billion (2018)
1.00
infobox
Agrokor
Total equity
€0 (2018)
1.00
infobox
Agrokor
Type
Joint-stock company/ under Extraordinary Administration
1.00
infobox
Agrokor
Website
nagodba.agrokor.hr
1.00
infobox
No triples extracted yet.
Related concept clusters Related term clusters
Related term clusters 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 Agrokor bring nearby vocabulary together. In this analysis, examples include Company, Croatia and Owner. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Agrokor
Company
Croatia
Owner
Retail
Million
Largest
Group
Acquired
Founded
Became
Chain
Croatian
agrokor
Company
Croatia
Owner
Retail
Million
Largest
Group
Acquired
Founded
Became
Chain
Croatian
croatia
Largest
Retail
Food
Company
Founded
Years
Administration
Became
Chain
Companies
Konzum
Ledo
joint stock company
Food
Acquired
Founded
Ledo
Retail
Business
Group
Assets
Croatia
Largest
Konzum
Distribution
fortenova group
Assets
Retail
Food
Business
Distribution
Jamnica
April
Million
Largest
Settlement
Also
Plan
frozen food
Ledo
Retail
Jamnica
Founded
Konzum
Water
Largest
Group
Acquired
Years
Administration
Business
ivica todorić
Todorić
Owner
Business
Croatian
Million
Assets
Food
Financial
Administration
Konzum
Ledo
Retail
croatian state attorney office
Jamnica
Food
Agrokor's
Ledo
Retail
Water
Distribution
Ivica
Todorić
Largest
Years
Chain
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 Agrokor, one of the stronger structural bridges in this analysis connects Agrokor 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.
Agrokor
Nodes66
Edges65
Triples93
Avg. degree1.97
Density0.030303
Components1
Source & methodology
TTTA analyzes the structure around Agrokor to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Companies & Art, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
