View Future GrowthSeeing Machines 過去の業績過去 基準チェック /06Seeing Machinesの収益は年間平均-14%の割合で減少していますが、 Electronic業界の収益は年間 増加しています。収益は年間5.8% 14.7%割合で 増加しています。主要情報-13.99%収益成長率-8.99%EPS成長率Electronic 業界の成長5.51%収益成長率14.71%株主資本利益率-139.10%ネット・マージン-49.21%前回の決算情報31 Dec 2025最近の業績更新お知らせ • Sep 10Seeing Machines Limited to Report Fiscal Year 2025 Results on Sep 25, 2025Seeing Machines Limited announced that they will report fiscal year 2025 results at 6:00 AM, Coordinated Universal Time on Sep 25, 2025すべての更新を表示Recent updatesBreakeven Date Change • May 20Forecast breakeven date moved forward to 2026The 3 analysts covering Seeing Machines previously expected the company to break even in 2027. New consensus forecast suggests the company will make a profit of US$18.4m in 2026. Earnings growth of 53% is required to achieve expected profit on schedule.お知らせ • Mar 28Seeing Machines Limited Provides Earnings Guidance for the Fiscal Year 2026Seeing Machines Limited provided earnings guidance for the fiscal year 2026. For the year, the company expects revenue of USD 79.7 million.お知らせ • Jan 13Seeing Machines Announces the Successful Debut of its Next-Generation 3D Cabin Perception Mapping Platform at CES 2026Seeing Machines announced the successful debut of its next-generation 3D Cabin Perception Mapping platform at CES 2026, marking a significant step forward in real-time in cabin monitoring intelligence for future mobility. While exterior perception mapping in automated driving focuses on a multi-sensor reconstruction of the vehicle's surrounding environment, the Seeing Machines 3D perception mapping solution demonstrated live at CES delivers a comprehensive, real-time digital reconstruction of inside the vehicle cabin, enabling a holistic, accurate and scalable approach to interior sensing. Built on a "clean-sheet" architecture, the platform is designed to support multiple cameras, multiple occupants and a wide range of features, all from a single, high-trust perception layer. Unlike traditional feature-by- feature approaches, Seeing Machines' 3D Cabin Perception Mapping solves for the entire cabin simultaneously, improving consistency across features and maintaining accuracy even in the presence of intermittent or noisy sensor data. The architecture provides a powerful abstraction layer that decouples feature development from underlying camera configurations and raw sensing implementations. This allows features to be built once and deployed seamlessly across multiple product configurations, reducing development effort, cost and time to market. The platform is designed to extend beyond automotive applications, with potential use cases across robotics and other human-machine interaction environments, including human-robot interaction (HRI) environments, where accurate and scalable perception of people and space is critical. The architecture also supports a mix-and-match approach to 3D technologies, enabling deployment flexibility as sensing hardware and use cases evolve. Real-time digital reconstruction of an automotive cabin environment was showcased, including: 3 cameras covering 3 rows of seating with support for up to 7 vehicle occupants; Body size, shape and a full 3D pose solution for all occupants, including height and weight classification; Out-of-position detection for all occupants, for example, occupant reclining, feet on dash, near-airbag detection for driver; Seat configuration, for example, headrest presence, seat position and recline angle; Child seat detection across entire cabin; and Random object detection across cabin, for example, phones, bags and boxes.お知らせ • Jan 06STRADVISION and Seeing Machines Announce First Public Collaboration Showcasing SVNet FrontVision at CES 2026STRADVISION announced its first public collaboration with Seeing Machines, to be showcased through a joint front camera perception demonstration at CES 2026. The collaboration features STRADVISION's SVNet FrontVision solution, demonstrated through a video-driven reference implementation designed to support flexible evaluation, visualization, and early technical collaboration. The demo is powered by NVIDIA GPU acceleration within a development-grade environment, enabling rapid iteration and transparent performance assessment across perception outputs. Front Camera Perception Demonstrated in a PC-Based Environment: The demo highlights SVNet FrontVision, STRADVISION's front camera perception software, designed to detect and recognize vehicles, pedestrians, and other road users using video input. By operating within a development and evaluation framework rather than vehicle-integrated hardware, the demonstration allows partners to focus on perception performance, data interpretation, and system behavior at an early stage of collaboration. First Public Collaboration Between STRADVISION and Seeing Machines: This CES 2026 demonstration marks the first public collaboration between STRADVISION and Seeing Machines. The collaboration brings together complementary expertise in external perception and driver monitoring, demonstrating how vehicles could respond intelligently to external conditions and evolving in-cabin dynamics, reflecting a shared vision for combining vision-based technologies within a broader ADAS ecosystem for enhanced safety and convenience.お知らせ • Jan 05Seeing Machines to Unveil 3D Cabin Perception Mapping at CES 2026Seeing Machines announced it will unveil its next-generation 3D Cabin Perception Mapping solution at CES 2026, the world's leading technology event. Attendees will be invited to experience a live, in-vehicle demonstration showcasing the Company's most advanced automotive interior sensing capabilities to date. The 3D Cabin perception Mapping solution represents a major advancement in in-cabin intelligence, delivering high-fidelity sensing that monitors drivers and all vehicle occupants in real time. By providing a precise, continuous understanding of occupant presence, position and behaviour, the technology enables automakers to unlock new levels of safety performance while enhancing the overall in-vehicle experience across an expanding range of driving scenarios. At CES 2026, Seeing Machines will also demonstrate how its interior sensing technologies operate in concert with exterior sensor systems to create a more holistic perception of the driving environment. This integrated approach enables vehicles to respond intelligently to both complex road conditions and evolving in-cabin dynamics, supporting safer, more adaptive and increasingly automated driving experiences. Seeing Machines' latest Driver and Occupant Monitoring System (DMS/OMS) technology will also be showcased through its integrated rear-view mirror solution, offering a wide field of view to monitor the driver and vehicle occupants. This solution is currently in production as part of the Company's automotive program won to date and represents a significant technical milestone across the industry, as recognised earlier this year at InCabin Europe in Barcelona. The Seeing Machines Future Mobility Group will be present at CES 2026, hosting meetings and demonstrations with leading customers across the autonomous driving ecosystem. The Group's focus is on co-developing next-generation DMS/OMS solutions to support supervised autonomy as the industry accelerates toward broader deployment. In addition, Seeing Machines' technology will be featured across a number of partner exhibits at CES, including collaborations with Valeo, Magna, QNX and Texas Instruments.お知らせ • Nov 05Seeing Machines Limited Announces to Step Down of Gerhard Vorster as Non-Executive Director on November 26, 2025Seeing Machines Limited announced that Gerhard Vorster, non-executive director of the Seeing Machines board and Chair of the People, Culture and Remuneration Committee, has advised of his intention to step down as a director of the Company at the conclusion of the Company's Annual General Meeting on 26 November 2025. Mr. Vorster has been a Board member since December 2019, leveraging his business knowledge and experience from over 28 years at Deloitte, with roles including Chief Strategy Officer for Australia and Asia Pacific and Managing Partner (Consulting) for the South African, East Asian, Australian and Asia-Pacific practice regions.お知らせ • Nov 04Seeing Machines Limited, Annual General Meeting, Nov 26, 2025Seeing Machines Limited, Annual General Meeting, Nov 26, 2025. Location: 80 mildura street, fyshwick act 2609, Australiaお知らせ • Sep 10Seeing Machines Limited to Report Fiscal Year 2025 Results on Sep 25, 2025Seeing Machines Limited announced that they will report fiscal year 2025 results at 6:00 AM, Coordinated Universal Time on Sep 25, 2025お知らせ • Jun 27Seeing Machines Limited Announces Launch of Guardian Generation 3 Trial with Mitsubishi Electric in North AmericaSeeing Machines Limited announced that it has launched a six-week pilot for its class-leading Guardian Generation 3 aftermarket solution with a North American Mitsubishi Electric company. Seeing Machines and Mitsubishi Electric Automotive America Inc. (MEAA) first joined forces through a Referral Agreement, announced in February, to accelerate sales of Guardian Generation 3 in the Americas, leveraging MEAA's deep customer relationships in the region. The joint pursuit of business is already generating a steady pipeline of opportunities, and this first pilot with a US based Mitsubishi Electric company is a direct result of that agreement. It serves to demonstrate the incremental potential that the collaboration can bring to the direct sales effort by Seeing Machines.収支内訳Seeing Machines の稼ぎ方とお金の使い方。LTMベースの直近の報告された収益に基づく。収益と収入の歴史BATS-CHIXE:SEEL 収益、費用、利益 ( )USD Millions日付収益収益G+A経費研究開発費31 Dec 2560-29362430 Sep 2561-27382130 Jun 2562-25391931 Mar 2565-27401931 Dec 2467-30402030 Sep 2467-30401930 Jun 2468-31401931 Mar 2463-31381631 Dec 2359-31371330 Sep 2358-23351230 Jun 2358-16321131 Mar 2353-14301231 Dec 2248-13281330 Sep 2243-16271230 Jun 2239-19261131 Mar 2239-1526931 Dec 2137-1124530 Sep 2136-1222630 Jun 2135-1322731 Mar 2134-21231231 Dec 2033-30241730 Sep 2029-31241730 Jun 2028-32261731 Mar 2023-27211631 Dec 1924-30221930 Sep 1922-28192130 Jun 1922-29182531 Mar 1922-31192431 Dec 1821-31202130 Sep 1822-29201830 Jun 1823-27191531 Mar 1821-26201631 Dec 1719-25201630 Sep 1715-24181430 Jun 1711-23161231 Dec 166-2013930 Sep 1616-1114830 Jun 1625-113731 Dec 1528212730 Sep 1518-312530 Jun 1510-10135質の高い収益: SEELは現在利益が出ていません。利益率の向上: SEELは現在利益が出ていません。フリー・キャッシュフローと収益の比較過去の収益成長分析収益動向: SEELは利益が出ておらず、過去 5 年間で損失は年間14%の割合で増加しています。成長の加速: SEELの過去 1 年間の収益成長を 5 年間の平均と比較することはできません。現在は利益が出ていないためです。収益対業界: SEELは利益が出ていないため、過去 1 年間の収益成長をElectronic業界 ( 9.2% ) と比較することは困難です。株主資本利益率高いROE: SEELは現在利益が出ていないため、自己資本利益率 ( -139.1% ) はマイナスです。総資産利益率使用総資本利益率過去の好業績企業の発掘7D1Y7D1Y7D1YTech 、過去の業績が好調な企業。View Financial Health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2026/05/25 21:11終値2026/05/14 00:00収益2025/12/31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Seeing Machines Limited 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。7 アナリスト機関Robert ChantryBerenbergCaspar Nathaniel Richard TrenchardCanaccord GenuityRichard JeansEdison Investment Research4 その他のアナリストを表示
お知らせ • Sep 10Seeing Machines Limited to Report Fiscal Year 2025 Results on Sep 25, 2025Seeing Machines Limited announced that they will report fiscal year 2025 results at 6:00 AM, Coordinated Universal Time on Sep 25, 2025
Breakeven Date Change • May 20Forecast breakeven date moved forward to 2026The 3 analysts covering Seeing Machines previously expected the company to break even in 2027. New consensus forecast suggests the company will make a profit of US$18.4m in 2026. Earnings growth of 53% is required to achieve expected profit on schedule.
お知らせ • Mar 28Seeing Machines Limited Provides Earnings Guidance for the Fiscal Year 2026Seeing Machines Limited provided earnings guidance for the fiscal year 2026. For the year, the company expects revenue of USD 79.7 million.
お知らせ • Jan 13Seeing Machines Announces the Successful Debut of its Next-Generation 3D Cabin Perception Mapping Platform at CES 2026Seeing Machines announced the successful debut of its next-generation 3D Cabin Perception Mapping platform at CES 2026, marking a significant step forward in real-time in cabin monitoring intelligence for future mobility. While exterior perception mapping in automated driving focuses on a multi-sensor reconstruction of the vehicle's surrounding environment, the Seeing Machines 3D perception mapping solution demonstrated live at CES delivers a comprehensive, real-time digital reconstruction of inside the vehicle cabin, enabling a holistic, accurate and scalable approach to interior sensing. Built on a "clean-sheet" architecture, the platform is designed to support multiple cameras, multiple occupants and a wide range of features, all from a single, high-trust perception layer. Unlike traditional feature-by- feature approaches, Seeing Machines' 3D Cabin Perception Mapping solves for the entire cabin simultaneously, improving consistency across features and maintaining accuracy even in the presence of intermittent or noisy sensor data. The architecture provides a powerful abstraction layer that decouples feature development from underlying camera configurations and raw sensing implementations. This allows features to be built once and deployed seamlessly across multiple product configurations, reducing development effort, cost and time to market. The platform is designed to extend beyond automotive applications, with potential use cases across robotics and other human-machine interaction environments, including human-robot interaction (HRI) environments, where accurate and scalable perception of people and space is critical. The architecture also supports a mix-and-match approach to 3D technologies, enabling deployment flexibility as sensing hardware and use cases evolve. Real-time digital reconstruction of an automotive cabin environment was showcased, including: 3 cameras covering 3 rows of seating with support for up to 7 vehicle occupants; Body size, shape and a full 3D pose solution for all occupants, including height and weight classification; Out-of-position detection for all occupants, for example, occupant reclining, feet on dash, near-airbag detection for driver; Seat configuration, for example, headrest presence, seat position and recline angle; Child seat detection across entire cabin; and Random object detection across cabin, for example, phones, bags and boxes.
お知らせ • Jan 06STRADVISION and Seeing Machines Announce First Public Collaboration Showcasing SVNet FrontVision at CES 2026STRADVISION announced its first public collaboration with Seeing Machines, to be showcased through a joint front camera perception demonstration at CES 2026. The collaboration features STRADVISION's SVNet FrontVision solution, demonstrated through a video-driven reference implementation designed to support flexible evaluation, visualization, and early technical collaboration. The demo is powered by NVIDIA GPU acceleration within a development-grade environment, enabling rapid iteration and transparent performance assessment across perception outputs. Front Camera Perception Demonstrated in a PC-Based Environment: The demo highlights SVNet FrontVision, STRADVISION's front camera perception software, designed to detect and recognize vehicles, pedestrians, and other road users using video input. By operating within a development and evaluation framework rather than vehicle-integrated hardware, the demonstration allows partners to focus on perception performance, data interpretation, and system behavior at an early stage of collaboration. First Public Collaboration Between STRADVISION and Seeing Machines: This CES 2026 demonstration marks the first public collaboration between STRADVISION and Seeing Machines. The collaboration brings together complementary expertise in external perception and driver monitoring, demonstrating how vehicles could respond intelligently to external conditions and evolving in-cabin dynamics, reflecting a shared vision for combining vision-based technologies within a broader ADAS ecosystem for enhanced safety and convenience.
お知らせ • Jan 05Seeing Machines to Unveil 3D Cabin Perception Mapping at CES 2026Seeing Machines announced it will unveil its next-generation 3D Cabin Perception Mapping solution at CES 2026, the world's leading technology event. Attendees will be invited to experience a live, in-vehicle demonstration showcasing the Company's most advanced automotive interior sensing capabilities to date. The 3D Cabin perception Mapping solution represents a major advancement in in-cabin intelligence, delivering high-fidelity sensing that monitors drivers and all vehicle occupants in real time. By providing a precise, continuous understanding of occupant presence, position and behaviour, the technology enables automakers to unlock new levels of safety performance while enhancing the overall in-vehicle experience across an expanding range of driving scenarios. At CES 2026, Seeing Machines will also demonstrate how its interior sensing technologies operate in concert with exterior sensor systems to create a more holistic perception of the driving environment. This integrated approach enables vehicles to respond intelligently to both complex road conditions and evolving in-cabin dynamics, supporting safer, more adaptive and increasingly automated driving experiences. Seeing Machines' latest Driver and Occupant Monitoring System (DMS/OMS) technology will also be showcased through its integrated rear-view mirror solution, offering a wide field of view to monitor the driver and vehicle occupants. This solution is currently in production as part of the Company's automotive program won to date and represents a significant technical milestone across the industry, as recognised earlier this year at InCabin Europe in Barcelona. The Seeing Machines Future Mobility Group will be present at CES 2026, hosting meetings and demonstrations with leading customers across the autonomous driving ecosystem. The Group's focus is on co-developing next-generation DMS/OMS solutions to support supervised autonomy as the industry accelerates toward broader deployment. In addition, Seeing Machines' technology will be featured across a number of partner exhibits at CES, including collaborations with Valeo, Magna, QNX and Texas Instruments.
お知らせ • Nov 05Seeing Machines Limited Announces to Step Down of Gerhard Vorster as Non-Executive Director on November 26, 2025Seeing Machines Limited announced that Gerhard Vorster, non-executive director of the Seeing Machines board and Chair of the People, Culture and Remuneration Committee, has advised of his intention to step down as a director of the Company at the conclusion of the Company's Annual General Meeting on 26 November 2025. Mr. Vorster has been a Board member since December 2019, leveraging his business knowledge and experience from over 28 years at Deloitte, with roles including Chief Strategy Officer for Australia and Asia Pacific and Managing Partner (Consulting) for the South African, East Asian, Australian and Asia-Pacific practice regions.
お知らせ • Nov 04Seeing Machines Limited, Annual General Meeting, Nov 26, 2025Seeing Machines Limited, Annual General Meeting, Nov 26, 2025. Location: 80 mildura street, fyshwick act 2609, Australia
お知らせ • Sep 10Seeing Machines Limited to Report Fiscal Year 2025 Results on Sep 25, 2025Seeing Machines Limited announced that they will report fiscal year 2025 results at 6:00 AM, Coordinated Universal Time on Sep 25, 2025
お知らせ • Jun 27Seeing Machines Limited Announces Launch of Guardian Generation 3 Trial with Mitsubishi Electric in North AmericaSeeing Machines Limited announced that it has launched a six-week pilot for its class-leading Guardian Generation 3 aftermarket solution with a North American Mitsubishi Electric company. Seeing Machines and Mitsubishi Electric Automotive America Inc. (MEAA) first joined forces through a Referral Agreement, announced in February, to accelerate sales of Guardian Generation 3 in the Americas, leveraging MEAA's deep customer relationships in the region. The joint pursuit of business is already generating a steady pipeline of opportunities, and this first pilot with a US based Mitsubishi Electric company is a direct result of that agreement. It serves to demonstrate the incremental potential that the collaboration can bring to the direct sales effort by Seeing Machines.