View Future GrowthSeeing Machines 과거 순이익 실적과거 기준 점검 0/6Seeing Machines 의 수입은 연평균 -14%의 비율로 감소해 온 반면, Electronic 산업은 연평균 9.3%의 비율로 증가했습니다. 매출은 연평균 14.7%의 비율로 증가해 왔습니다.핵심 정보-13.99%순이익 성장률-8.99%주당순이익(EPS) 성장률Electronic 산업 성장률5.51%매출 성장률14.71%자기자본이익률-139.10%순이익률-49.21%최근 순이익 업데이트31 Dec 2025최근 과거 실적 업데이트공시 • 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, 2025모든 업데이트 보기Recent 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.공시 • 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.공시 • 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.공시 • 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.공시 • 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.공시 • 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.공시 • 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, Australia공시 • 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, 2025공시 • 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.매출 및 비용 세부 내역Seeing Machines가 돈을 벌고 사용하는 방법. 최근 발표된 LTM 실적 기준.순이익 및 매출 추이BATS-CHIXE:SEEL 매출, 비용 및 순이익 (USD Millions)날짜매출순이익일반관리비연구개발비31 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 1510-10135양질의 수익: SEEL 은(는) 현재 수익성이 없습니다.이익 마진 증가: SEEL는 현재 수익성이 없습니다.잉여현금흐름 대비 순이익 분석과거 순이익 성장 분석수익추이: SEEL은 수익성이 없으며 지난 5년 동안 손실이 연평균 14% 증가했습니다.성장 가속화: 현재 수익성이 없어 지난 1년간 SEEL의 수익 성장률을 5년 평균과 비교할 수 없습니다.수익 대 산업: SEEL은 수익성이 없어 지난 해 수익 성장률을 Electronic 업계(16.6%)와 비교하기 어렵습니다.자기자본이익률높은 ROE: SEEL는 현재 수익성이 없으므로 자본 수익률이 음수(-139.1%)입니다.총자산이익률투하자본수익률우수한 과거 실적 기업을 찾아보세요7D1Y7D1Y7D1YTech 산업에서 과거 실적이 우수한 기업.View Financial Health기업 분석 및 재무 데이터 상태데이터최종 업데이트 (UTC 시간)기업 분석2026/06/09 07:26종가2026/06/09 00:00수익2025/12/31연간 수익2025/06/30데이터 소스당사의 기업 분석에 사용되는 데이터는 S&P Global Market Intelligence LLC에서 제공됩니다. 아래 데이터는 이 보고서를 생성하기 위해 분석 모델에서 사용됩니다. 데이터는 정규화되므로 소스가 제공된 후 지연이 발생할 수 있습니다.패키지데이터기간미국 소스 예시 *기업 재무제표10년손익계산서현금흐름표대차대조표SEC 양식 10-KSEC 양식 10-Q분석가 컨센서스 추정치+3년재무 예측분석가 목표주가분석가 리서치 보고서Blue Matrix시장 가격30년주가배당, 분할 및 기타 조치ICE 시장 데이터SEC 양식 S-1지분 구조10년주요 주주내부자 거래SEC 양식 4SEC 양식 13D경영진10년리더십 팀이사회SEC 양식 10-KSEC 양식 DEF 14A주요 개발10년회사 공시SEC 양식 8-K* 미국 증권에 대한 예시이며, 비(非)미국 증권에는 해당 국가의 규제 서식 및 자료원을 사용합니다.별도로 명시되지 않는 한 모든 재무 데이터는 연간 기간을 기준으로 하지만 분기별로 업데이트됩니다. 이를 TTM(최근 12개월) 또는 LTM(지난 12개월) 데이터라고 합니다. 자세히 알아보기.분석 모델 및 스노우플레이크이 보고서를 생성하는 데 사용된 분석 모델에 대한 자세한 내용은 당사의 Github 페이지에서 확인하실 수 있습니다. 또한 보고서 활용 방법에 대한 가이드와 YouTube 튜토리얼도 제공합니다.Simply Wall St 분석 모델을 설계하고 구축한 세계적 수준의 팀에 대해 알아보세요.산업 및 섹터 지표산업 및 섹터 지표는 Simply Wall St가 6시간마다 계산하며, 프로세스에 대한 자세한 내용은 Github에서 확인할 수 있습니다.분석가 소스Seeing Machines Limited는 7명의 분석가가 다루고 있습니다. 이 중 3명의 분석가가 우리 보고서에 입력 데이터로 사용되는 매출 또는 수익 추정치를 제출했습니다. 분석가의 제출 자료는 하루 종일 업데이트됩니다.분석가기관Robert ChantryBerenbergCaspar Nathaniel Richard TrenchardCanaccord GenuityRichard JeansEdison Investment Research4명의 분석가 더 보기
공시 • 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.
공시 • 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.
공시 • 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.
공시 • 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.
공시 • 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.
공시 • 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.
공시 • 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
공시 • 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
공시 • 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.