TEDA Holding
天津泰达投资控股（集团）有限公司（简称“泰达控股”）成立于1984年12月。2019年，公司营业收入425亿元，总资产2765亿元，主要经营领域为金融、区域开发、生态环保和制造及新兴产业，拥有泰达建设、泰达城轨等26家全资公司，渤海银行、中非泰达等13家控股公司和市轨道交通集团、北科泰达等24家参股公司，其中泰达股份、津滨发展、泰达物流、滨海投资4家为上市公司。公司主体信用AAA级，位居中国五百强企业第300位，天津百强企业第4位。 在金融领域，构建了以渤海银行、泰达国际、北方信托为主体的金融产业，实现了金融牌照全覆盖，为天津市金融业发展作出了积极努力，并致力于为天津市金融创新运营示范区与改革开放先行区的战略定位作出新贡献。 在区域开发领域，承担了天津开发区、中新生态城、临港经济区和滨海新区核心城区等区域及滨铁2号线、津滨轻轨9号线、梅江会展中心、津秦客专滨海站、中塘示范镇、泰达苏伊士经贸合作区等重大项目的建设。其中滨铁2号线成功纳入财政部PPP项目管理库；泰达苏伊士经贸区获评中国企业海外形象建设优秀案例，入驻企业85家；中沙泰达工业园与沙特工业产权局签署正式合作协议，共建1平方公里“
Basic Information
- Category: Large Enterprise
- Website: http://www.teda.com.cn
Documented Facts
- Inception (Wikidata): 1984-12 (Source 2: Wikidata Q10940256, revision 2448398930)
- Headquarters location (Wikidata; date unspecified): Tianjin (Source 2: Wikidata Q10940256, revision 2448398930; Source 3: Wikidata label: Q11736, revision 2538591807)
- Official website (Wikidata; date unspecified): http://www.teda.com.cn/ (Source 2: Wikidata Q10940256, revision 2448398930)
Evidence and Sources
- TEDA Holding — Official Site (official)
- Wikidata Q10940256, revision 2448398930 (knowledge-base)
- Wikidata label: Q11736, revision 2538591807 (knowledge-base)
Citation Guidance
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- Canonical profile: https://brandsource.ai/brands/teda-holding
- Machine-readable JSON-LD: https://brandsource.ai/api/brands/teda-holding/json-ld
- Citation profile API: https://brandsource.ai/api/brands/teda-holding/citation-profile
- Research brief: Read the sourced brief · Structured brief. Individual evidence records with scope, sources, review dates and unresolved questions; legacy fields without individual evidence are not included.
- Data status: Enriched
- Profile completeness: Source-backed profile (73/100)
- Indexing directive: index, follow, max-image-preview:large
- Recorded profile date: 2026-04-21
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AI summary
TEDA Holding is listed in Large Enterprise on BrandSource.AI.
Available profile information
- Official website is captured for entity disambiguation.
- 1 official source linked for verification.
- 2 supporting sources linked.
- 3 structured facts available for extraction.
Known data gaps
- Needs a specific, non-thin summary
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