View Past Performance2CRSI バランスシートの健全性財務の健全性 基準チェック /562CRSIの総株主資本は€29.2M 、総負債は€7.9Mで、負債比率は27.1%となります。総資産と総負債はそれぞれ€90.1Mと€60.9Mです。 2CRSIの EBIT は€416.0Kで、利息カバレッジ比率0.9です。現金および短期投資は€1.1Mです。主要情報27.11%負債資本比率€7.92m負債インタレスト・カバレッジ・レシオ0.9x現金€1.15mエクイティ€29.19m負債合計€60.89m総資産€90.09m財務の健全性に関する最新情報更新なしすべての更新を表示Recent updatesお知らせ • Feb 17Valeo and 2CRSi Launch an Outdoor Autonomous Immersion-Cooled Edge Data Center Solution for Indian Telecom OperatorsValeo and 2CRSi are advancing their collaboration with a new solution specifically designed for local edge data centers. This project directly addresses the infrastructure challenges driven by nationwide 5G deployment and the rapid expansion of AI applications. Set to be unveiled at the AI Impact Summit in New Delhi, the prototype solution demonstrates both companies' commitment to delivering maintenance-free, energy-efficient, reliable, high-performance Edge AI infrastructure tailored to India's demanding climate conditions and scalable to support the country's long-term digital growth strategy. Building on the partnership initiated in November 2025, Valeo and 2CRSi have reached a new milestone with the development of an autonomous (water-free) immersion-cooled solution engineered for decentralized digital infrastructure. By combining 2CRSi's advanced expertise in server architecture and manufacturing with Valeo's decades of experience in high-efficiency thermal management, system integration, and wide temperature-range operations - developed through its global automotive leadership - the two companies have designed a fully autonomous immersion-cooled edge computing system capable of operating in: Ambient temperatures exceeding 50degC. High humidity conditions. Dust-heavy environments. Flood-prone locations. A Competitive Alternative to Conventional Edge Deployments. Unlike traditional edge infrastructure requiring dedicated buildings, water loops, chillers, and complex maintenance operations, the Valeo-2CRSi solution operates as a compact and standalone unit. The system eliminates water dependency, removes the need for chillers and mechanical cooling systems, reduces infrastructure footprint, and minimizes maintenance requirements. This architecture significantly reduces deployment complexity, lowers both CAPEX and OPEX, and improves Total Cost of Ownership (TCO) for telecom operators and infrastructure providers - a critical factor for large-scale 5G rollouts and distributed AI inference. Its automotive-grade reliability standards provide an additional structural advantage over conventional IT systems not originally engineered for extreme outdoor conditions. To bring this technology to market, the partners will follow a rigorous industrialization roadmap throughout 2026. Sustainability and Environmental Contribution. The solution also responds to growing environmental requirements associated with digital infrastructure expansion: ?? Zero water consumption, eliminating a critical constraint in water-stressed regions;; By replacing traditional air cooling (annualized Power Usage Effectiveness (PUE) ~1.6) with immersion cooling (PUE < 1.1), the system reduces total infrastructure energy consumption by 30-35% translating into annual saving of 6-8MWh for a 1.5 kW IT load operation in outdoor conditions such as Bengaluru. Designed as a compact, standalone unit, the system operates without water loops, chillers, or dedicated buildings. This makes it uniquely suited for India's edge environments, where 5G expansion and AI-driven services require resilient, low-main maintenance infrastructure deployed close to telecom antennas, even in remote, dusty, humid locations. By adapting automotive-grade reliability standards to digital infrastructure, Valeo and 2C RSi are contributing to the development of next-generation edge data centers capable of supporting AI inference, telecom networks, and emerging digital services across India.お知らせ • Jan 09+ 1 more update2CRSI S.A. to Report First Half, 2026 Results on Mar 26, 20262CRSI S.A. announced that they will report first half, 2026 results on Mar 26, 2026お知らせ • Nov 132CRSI S.A., Annual General Meeting, Dec 18, 20252CRSI S.A., Annual General Meeting, Dec 18, 2025. Location: 11 rue madeleine reberioux, strasbourg Franceお知らせ • Oct 012CRSI S.A. to Report Fiscal Year 2025 Results on Oct 30, 20252CRSI S.A. announced that they will report fiscal year 2025 results at 9:00 AM, Central European Standard Time on Oct 30, 2025お知らせ • Jul 032CRSi SA Submits the Application of the European Consortium ÆTHER to Develop an ‘AI Gigafactory’ in the heart of Europe – the first with a Net-Negative Carbon Footprint2CRSi announced that it has submitted, on behalf of a consortium of European industrial players, the application for a project named ÆTHER in response to the call for expressions of interest (CEI) launched by the European Commission and EuroHPC for the establishment of artificial intelligence “gigafactories.” This strategic initiative, supported by the “InvestAI” program, aims to mobilize up to €20 billion in public and private investment to deploy AI Gigafactories across the European Union.財務状況分析短期負債: TCSI.Fの 短期資産 ( €73.7M ) が 短期負債 ( €48.8M ) を超えています。長期負債: TCSI.Fの短期資産 ( €73.7M ) が 長期負債 ( €12.1M ) を上回っています。デット・ツー・エクイティの歴史と分析負債レベル: TCSI.Fの 純負債対資本比率 ( 23.2% ) は 満足できる 水準であると考えられます。負債の削減: TCSI.Fの負債対資本比率は、過去 5 年間で122.9%から27.1%に減少しました。債務返済能力: TCSI.Fの負債は 営業キャッシュフロー によって 十分にカバー されています ( 29.9% )。インタレストカバレッジ: TCSI.Fの負債に対する 利息支払い は EBIT ( 0.9 x coverage) によって 十分にカバーされていません。貸借対照表健全な企業の発掘7D1Y7D1Y7D1YTech 業界の健全な企業。View Dividend企業分析と財務データの現状データ最終更新日（UTC時間）企業分析2026/04/06 07:32終値2026/01/07 00:00収益2025/06/30年間収益2025/06/30データソース企業分析に使用したデータはS&P Global Market Intelligence LLC のものです。本レポートを作成するための分析モデルでは、以下のデータを使用しています。データは正規化されているため、ソースが利用可能になるまでに時間がかかる場合があります。パッケージデータタイムフレーム米国ソース例会社財務10年損益計算書キャッシュ・フロー計算書貸借対照表SECフォーム10-KSECフォーム10-Qアナリストのコンセンサス予想+プラス3年予想財務アナリストの目標株価アナリストリサーチレポートBlue Matrix市場価格30年株価配当、分割、措置ICEマーケットデータSECフォームS-1所有権10年トップ株主インサイダー取引SECフォーム4SECフォーム13Dマネジメント10年リーダーシップ・チーム取締役会SECフォーム10-KSECフォームDEF 14A主な進展10年会社からのお知らせSECフォーム8-K* 米国証券を対象とした例であり、非米国証券については、同等の規制書式および情報源を使用。特に断りのない限り、すべての財務データは1年ごとの期間に基づいていますが、四半期ごとに更新されます。これは、TTM（Trailing Twelve Month）またはLTM（Last Twelve Month）データとして知られています。詳細はこちら。分析モデルとスノーフレーク本レポートを生成するために使用した分析モデルの詳細は当社のGithubページでご覧いただけます。また、レポートの使用方法に関するガイドやYoutubeのチュートリアルも掲載しています。シンプリー・ウォールストリート分析モデルを設計・構築した世界トップクラスのチームについてご紹介します。業界およびセクターの指標私たちの業界とセクションの指標は、Simply Wall Stによって6時間ごとに計算されます。アナリスト筋2CRSI S.A. 3 これらのアナリストのうち、弊社レポートのインプットとして使用した売上高または利益の予想を提出したのは、 。アナリストの投稿は一日中更新されます。6 アナリスト機関Yann de PeyrelongueGilbert DupontMatthias DesmaraisODDO BHF Corporate & MarketsNicolas ThorezODDO BHF Corporate & Markets3 その他のアナリストを表示
お知らせ • Feb 17Valeo and 2CRSi Launch an Outdoor Autonomous Immersion-Cooled Edge Data Center Solution for Indian Telecom OperatorsValeo and 2CRSi are advancing their collaboration with a new solution specifically designed for local edge data centers. This project directly addresses the infrastructure challenges driven by nationwide 5G deployment and the rapid expansion of AI applications. Set to be unveiled at the AI Impact Summit in New Delhi, the prototype solution demonstrates both companies' commitment to delivering maintenance-free, energy-efficient, reliable, high-performance Edge AI infrastructure tailored to India's demanding climate conditions and scalable to support the country's long-term digital growth strategy. Building on the partnership initiated in November 2025, Valeo and 2CRSi have reached a new milestone with the development of an autonomous (water-free) immersion-cooled solution engineered for decentralized digital infrastructure. By combining 2CRSi's advanced expertise in server architecture and manufacturing with Valeo's decades of experience in high-efficiency thermal management, system integration, and wide temperature-range operations - developed through its global automotive leadership - the two companies have designed a fully autonomous immersion-cooled edge computing system capable of operating in: Ambient temperatures exceeding 50degC. High humidity conditions. Dust-heavy environments. Flood-prone locations. A Competitive Alternative to Conventional Edge Deployments. Unlike traditional edge infrastructure requiring dedicated buildings, water loops, chillers, and complex maintenance operations, the Valeo-2CRSi solution operates as a compact and standalone unit. The system eliminates water dependency, removes the need for chillers and mechanical cooling systems, reduces infrastructure footprint, and minimizes maintenance requirements. This architecture significantly reduces deployment complexity, lowers both CAPEX and OPEX, and improves Total Cost of Ownership (TCO) for telecom operators and infrastructure providers - a critical factor for large-scale 5G rollouts and distributed AI inference. Its automotive-grade reliability standards provide an additional structural advantage over conventional IT systems not originally engineered for extreme outdoor conditions. To bring this technology to market, the partners will follow a rigorous industrialization roadmap throughout 2026. Sustainability and Environmental Contribution. The solution also responds to growing environmental requirements associated with digital infrastructure expansion: ?? Zero water consumption, eliminating a critical constraint in water-stressed regions;; By replacing traditional air cooling (annualized Power Usage Effectiveness (PUE) ~1.6) with immersion cooling (PUE < 1.1), the system reduces total infrastructure energy consumption by 30-35% translating into annual saving of 6-8MWh for a 1.5 kW IT load operation in outdoor conditions such as Bengaluru. Designed as a compact, standalone unit, the system operates without water loops, chillers, or dedicated buildings. This makes it uniquely suited for India's edge environments, where 5G expansion and AI-driven services require resilient, low-main maintenance infrastructure deployed close to telecom antennas, even in remote, dusty, humid locations. By adapting automotive-grade reliability standards to digital infrastructure, Valeo and 2C RSi are contributing to the development of next-generation edge data centers capable of supporting AI inference, telecom networks, and emerging digital services across India.
お知らせ • Jan 09+ 1 more update2CRSI S.A. to Report First Half, 2026 Results on Mar 26, 20262CRSI S.A. announced that they will report first half, 2026 results on Mar 26, 2026
お知らせ • Nov 132CRSI S.A., Annual General Meeting, Dec 18, 20252CRSI S.A., Annual General Meeting, Dec 18, 2025. Location: 11 rue madeleine reberioux, strasbourg France
お知らせ • Oct 012CRSI S.A. to Report Fiscal Year 2025 Results on Oct 30, 20252CRSI S.A. announced that they will report fiscal year 2025 results at 9:00 AM, Central European Standard Time on Oct 30, 2025
お知らせ • Jul 032CRSi SA Submits the Application of the European Consortium ÆTHER to Develop an ‘AI Gigafactory’ in the heart of Europe – the first with a Net-Negative Carbon Footprint2CRSi announced that it has submitted, on behalf of a consortium of European industrial players, the application for a project named ÆTHER in response to the call for expressions of interest (CEI) launched by the European Commission and EuroHPC for the establishment of artificial intelligence “gigafactories.” This strategic initiative, supported by the “InvestAI” program, aims to mobilize up to €20 billion in public and private investment to deploy AI Gigafactories across the European Union.