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Severstal: History, Companies & Art
Severstal (Russian: Северсталь, lit. 'Northern Steel') is a Russian company mainly operating in the steel and mining industry, headquartered in Cherepovets. Severstal is listed on the Moscow Exchange and LSE and is the largest steel company in Russia. The company is majority-owned and controlled by billionaire Alexey Mordashov.
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Severstal topic overview
The analysis highlights History, Companies and Art as prominent areas in the source structure around Severstal.
Related topics
60
Source areas
5
Connected nodes
65
Extracted relationships
75
Concept neighborhoods
28
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 · 27 topics
Overview · 20 topics
International sanctions · 7 topics
Environment · 3 topics
Sustainable development and corporate responsibility · 3 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
1993
Industry
Steel, Mining, Metallurgy
Headquarters
Cherepovets, Russia
Key people
Alexey Mordashov (Chairman) Alexander Shevelev (CEO)
Native name
Северсталь
Net income
₽32 billion (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 Severstal 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 Severstal shows recurring relationship patterns in the source. For example, Severstal → According, Alexey Mordashov, Australia, Australian, British, Canada, Europe, European Union, February, Following, Government, In, PJSC Severstal, Russia, Russia's, Russian, Severstal's, This, Ukraine, United Kingdom Another extracted example is Severstal → Cherepovets, Clean Air, Development, Ecology, Federal Project, In, In June, May, Ministry, National Goals, Natural Resources, No, On, Period, Presidential Decree, Rosprirodnadzor, Russian Federation, Step, Strategic Objectives, World Steel Association's. Use these groups to spot repeated connection types before inspecting the individual relationships.
Severstal
Top relations
related to International sanctions· 21
Severstal → According, Alexey Mordashov, Australia, Australian, British, Canada, Europe, European Union, February, Following, Government, In, PJSC Severstal, Russia, Russia's, Russian, Severstal's, This, Ukraine, United Kingdom
related to Environment· 20
Severstal → Cherepovets, Clean Air, Development, Ecology, Federal Project, In, In June, May, Ministry, National Goals, Natural Resources, No, On, Period, Presidential Decree, Rosprirodnadzor, Russian Federation, Step, Strategic Objectives, World Steel Association's
related to 2004–2011: international expansion and acquisitions· 8
Severstal → European, Gruppo Lucchini, In, In April, Michigan, Rouge Steel, Severstal North America, USA
related to Sustainable development and corporate responsibility· 6
Severstal → Corporate Social Responsibility, In, Starting, Sustainable, Sustainable Development, UN Global Compact
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 75 structured relationships around Severstal. Examples in this analysis include Severstal → Founded → 1993 and Severstal → Headquarters → Cherepovets, Russia. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Severstal
Founded
1993
1.00
infobox
Severstal
Headquarters
Cherepovets, Russia
1.00
infobox
Severstal
Industry
Steel, Mining, Metallurgy
1.00
infobox
Severstal
Key people
Alexey Mordashov (Chairman) Alexander Shevelev (CEO)
1.00
infobox
Severstal
Native name
Северсталь
1.00
infobox
Severstal
Net income
₽32 billion (2025)
1.00
infobox
Severstal
Number of employees
50,000
1.00
infobox
Severstal
Operating income
₽90.2 billion (2025)
1.00
infobox
Severstal
Products
Steel, metalware, large diameter pipe
1.00
infobox
Severstal
Revenue
₽713 billion (2025)
1.00
infobox
Severstal
Subsidiaries
Severstal Air Company Vorkutaugol Severstal Cherepovets
1.00
infobox
Severstal
Total assets
₽853 billion (2025)
1.00
infobox
Severstal
Total equity
₽527 billion (2025)
1.00
infobox
Severstal
Traded as
MCX: CHMF, LSE: SVST, FWB: RTS2
1.00
infobox
Severstal
Type
Public company
1.00
infobox
Severstal
Website
www.severstal.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 Severstal bring nearby vocabulary together. In this analysis, examples include Acquired, Steel and Russia. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Severstal
Acquired
Steel
Russia
Resources
May
Stake
Cherepovets
Usa
Mining
Gold
Air
Kazakhstan
severstal
Acquired
Steel
Russia
Resources
May
Stake
Cherepovets
Usa
Mining
Gold
Air
Kazakhstan
severstal cherepovets
Acquired
Air
Operating
Steel
Development
Mill
Russia
Industry
Mining
Russian
Resources
Company
severstal air company
Operating
Acquired
Cherepovets
Development
Lse
Steel
Responsibility
Russia
Assets
Billion
Gold
Industry
mittal steel company
Acquired
Gold
Steel
March
Usa
Mining
Severstal
Cherepovets
Russia
Operating
Assets
Alexey
tk-20 severstal
Acquired
Steel
Russia
Resources
May
Stake
Cherepovets
Usa
Mining
Gold
Air
Kazakhstan
mining
Assets
Gas
Operating
Responsibility
Companies
Industry
Cherepovets
Lse
Russia
Air
Kazakhstan
Ranked
alexey mordashov
Mordashov
Development
Russian
Lse
Russia
Air
Operating
Responsibility
Assets
Billion
Companies
Industry
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 Severstal, one of the stronger structural bridges in this analysis connects Severstal 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.
Severstal
Nodes66
Edges65
Triples75
Avg. degree1.97
Density0.030303
Components1
Source & methodology
TTTA analyzes the structure around Severstal 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.
