Japan
東京都品川区東京都港区芝5-36-7 三田ベルジュビル21階
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4010401090222
| Trade name | 郵船ロジスティクス株式会社 |
| Trade name (kana) | ユウセンロジスティクス |
| Name in English | Yusen Logistics Co., Ltd. |
| Corporation type | 301 |
| Address | 〒108-0014 東京都港区芝5丁目36番7号 |
| Postal code | 1080014 |
| Prefecture code | 13 |
| City code | 103 |
| Address outside Japan | |
| Prefecture in English | Tokyo |
| City in English | 5-36-7, Shiba, Minato ku |
| Address outside Japan in English | |
| Corporate number assignment date | 2015-10-05 |
| Update date | 2025-05-21 |
| Change date | 2025-04-23 |
| Registry closure date | |
| Reason for registry closure | |
| Successor corporate number | |
| Details of the change | |
| Latest record | 1 |
| Excluded from search | 0 |
| Processing type | 12 |
| Correction type | 1 |
| Trade name image ID | |
| Address image ID | |
| Sequence number | 1746727 |
Source: National Tax Agency Corporate Number Publication Site, basic three items
4010401090222
| Corporate number | 4010401090222 |
| Trade name | 郵船ロジスティクス株式会社 |
| Trade name (kana) | ユウセンロジスティクス |
| Trade name (alphabet) | Yusen Logistics Co., Ltd. |
| Registry closure date | |
| Reason for registry closure | |
| Registered address | 東京都港区芝5丁目36番7号 |
| Postal code | 1080014 |
| Prefecture | 東京都 |
| Prefecture code | 13 |
| City or district | 港区 |
| City code | 103 |
| Street address | 芝5丁目36番7号 |
| Organisation type | 301 |
| Processing type | 12 |
| Correction type | 1 |
| Status | |
| Representative | 代表取締役 原 秀則 |
| Capital | |
| Employees | 1787 |
| Employees (male) | 1125 |
| Employees (female) | 662 |
| Business summary | 各国航空船舶会社の代理店業
貨物利用運送業 等 |
| Website URL | https://www.yusen-logistics.com/jp/japan/support-information/woman |
| Year founded | |
| Business category | H:運輸業、郵便業 |
| Date established | 1955-02-28 |
| Unified government qualification - grade | ||A| |
| Unified government qualification - business items | 310 |
| Update date | 2025-05-21 |
| Key information | 4010401090222 |
Source: gBizINFO (Ministry of Economy, Trade and Industry)
2026-09-21 18:04 (Model: gpt-4.1-nano )