Company and Stock Identity
How Philips Connects to the Public Market
- Company structure
- Public company
- Market access
- Direct listings: NYSE: PHG and Euronext Amsterdam: PHIA.
- Stock name
- Koninklijke Philips N.V.
- Ticker and exchange
- NYSE / Euronext Amsterdam: PHG / PHIA
- Research focus
- Separate AI-enabled healthcare products from the full Philips business and distinguish commissioned market research from independent clinical evidence for a specific product.
Royal Philips is publicly listed in Amsterdam, with American depositary shares traded in New York.
Dated Market Snapshot
Sep 28, 2026
- Last price
- $25.11
- Change
- +0.60%
- Previous close
- $24.96
- 52-week high / low
- $33.435/$23.85
- Market cap
- 24,680,237,002
Automated from Nasdaq. Check the exchange or investor-relations page for the current price.
Open the public company market data feed for the full directory, ownership relationships, stock identifiers, and dated snapshots.
First-Hand Company News
Latest Developments
Philips publishes its 2026 United States healthcare AI survey
Philips reported survey findings on clinician AI use, time savings, capacity, safety, training, and readiness in the United States.
Why it matters: The report is useful market evidence, but it is commissioned by a company that sells healthcare technology. Treat it as a primary company source and compare it with independent adoption studies.
Careers and Qualifications
What to Know Before Applying
Work areas: Clinical applications, imaging, ultrasound, monitoring, informatics, software, data science, regulatory affairs, service, and product work.
Qualification signal: Clinical application and field roles often need modality or professional experience, while software roles need regulated-product delivery. Check the exact country and business unit before choosing training.
Check current roles at Philips. A careers page is the source of record for openings. This profile does not claim a role is open unless the company lists it now.
Related Healthcare AI Roles
- Imaging Informatics Specialist
- Clinical Validation Specialist
- Regulatory Affairs Specialist, Software as a Medical Device
Training to Compare
- Data Science Institute resources and AI certification work ... American College of Radiology
- Imaging AI education program ... Radiological Society of North America
- Deep Learning Institute healthcare and imaging courses ... NVIDIA
Buyer Snapshot
- Best-fit buyer
- Radiology leadership, pathology leadership, clinical informatics, imaging IT, patient safety, and procurement
- Primary use case
- Triage studies, flag findings, support image interpretation, and coordinate time-sensitive care
- Typical deployment
- Usually integrated with PACS, RIS, worklists, or digital pathology systems and monitored inside the clinical workflow
Evidence questions
- Was the tool tested prospectively and independently on comparable equipment and patients?
- What are sensitivity, specificity, false positive workload, and time-to-action effects?
- How does performance vary by site, scanner, demographic subgroup, and disease prevalence?
Regulatory and workflow questions
- Which FDA authorization covers the exact product version, modality, and intended use?
- Who retains final clinical responsibility and how is disagreement with the AI handled?
- What post-deployment monitoring and material update notification does the vendor provide?
Data and contract questions
- Where are images and derived data processed and retained?
- Which PACS, RIS, pathology, and EHR integrations are supported in production?
- Can data be used for model improvement, and what controls govern secondary use?
Evidence and Regulation
FDA Clearances on Record
No clearance is linked in this directory. That is not automatically a mark against the company. Some products support the people doing the work instead of reading a patient image or signal themselves.
What the Published Research Says About This Work
Independent studies on the work itself help separate category evidence from one company's claims.
- AI Stroke Triage ... 24 studies
- AI in Breast Cancer Screening ... 24 studies
- AI in Digital Pathology ... 24 studies