Q2 record revenues of $133.2 million; Expects more than 30% growth in H2-26 vs. H1-26 and further growth into 2027

MIGDAL HAEMEK, Israel, Aug. 10, 2026 /PRNewswire/ — Camtek Ltd. (NASDAQ: CAMT) (TASE: CAMT), today announced its financial results for the second quarter ended June 30, 2026.

2026 Second Quarter Financial Highlights

Record revenues of $133.2 million, a 8% YoY increase;GAAP gross margin of 50.1% and non-GAAP gross margin of 51.4%;GAAP operating income of $27.2 million and non-GAAP operating income of $36.0 million, representing operating margins of 20.4% and 25.9%, respectively; andGAAP net income of $23.3 million and non-GAAP net income of $39.4 million; GAAP diluted EPS of $0.46 and non-GAAP diluted EPS of $0.78.Completion of the acquisition of Visual Layer

Forward-Looking Expectations

Management expects continued growth in the third quarter of $158 to $160 million which represents an exceptional 20% growth quarter over quarter.

Given our strong order momentum and record backlog, management expects more than 30% growth in H2-26 vs. H1-26 followed by continued growth into 2027.

Management Comment

Rafi Amit, Camtek’s CEO commented, “I am very pleased with the second quarter results which came ahead of our expectations. Since the beginning of 2026 we have experienced a growing momentum of order intake bringing the total amount of orders received since the beginning of the year to about $600M, with deliveries scheduled for 2026 and 2027. This exceptional order intake coupled with our strong market position in the AP segment is expected to result in phenomenal growth in our AP business of 45% half over half.”

Concluded Mr. Amit, “The AI revolution is driving unprecedented demand for data centers. With AI adoption still in its early stages, we believe demand for AI compute infrastructure will continue to grow significantly. Our product development roadmap is closely aligned with the technology roadmaps of the industry leaders. Our strong customer engagement, combined with our expanding product portfolio and proven execution, gives us great confidence in our ability to deliver sustained growth in the years ahead.”

Second Quarter 2026 Financial Results

Revenues for the second quarter of 2026 were $133.2 million. This compares to second quarter 2025 revenues of $123.3 million, a year-over-year growth of 8%.

Gross profit on a GAAP basis in the quarter totaled $66.7 million (50.1% of revenues), an increase of 6% compared to $62.2 million (50.8% of revenues) in the second quarter of 2025.

Gross profit on a non-GAAP basis in the quarter totaled $68.5 million (51.4% of revenues), an increase of 7% compared to $64.0 million (51.9% of revenues) in the second quarter of 2025.

Operating income on a GAAP basis in the quarter totaled $27.2 million (20.4% of revenues), a decrease of 15% compared to $32.0 million (25.9% of revenues) in the second quarter of 2025.

Operating income on a non-GAAP basis in the quarter totaled $36.0 million (27.0% of revenues), a decrease of 4% compared to $37.4 million (30.3% of revenues) in the second quarter of 2025.

Net income on a GAAP basis in the quarter totaled $23.3 million, or $0.46 per diluted share, a decrease of 31% compared to net income of $33.7 million, or $0.69 per diluted share, in the second quarter of 2025.

Net income on a non-GAAP basis in the quarter totaled $39.4 million, or $0.78 per diluted share, an increase of 2% compared to a non-GAAP net income of $38.8 million, or $0.79 per diluted share, in the second quarter of 2025. 

Cash and cash equivalents, short-term and long-term deposits, and marketable securities, as of June 30, 2026, were $815.8 million compared to $849.7 million as of March 31, 2026. During the second quarter, the Company generated an operating cash flow of $12.2 million.

Conference Call

Camtek will host a video conference call/webinar today via Zoom, on August 10, 2026, at 09:00 ET (16:00 Israel time). Rafi Amit, CEO, Moshe Eisenberg, CFO, and Ramy Langer, COO will host the call and will be available to answer questions after presenting the results.

To participate in the webinar, please register using the following link, which will provide access to the video call: https://us06web.zoom.us/webinar/register/WN_vO7fjrtzSI2vxwrecVbQNQ

For those wishing to listen via phone, following registration, the dial in link will be sent. For any problems in registering, please email Camtek’s investor relations a few hours in advance of the call.

For those unable to participate, a recording will be available on Camtek’s website at http://www.camtek.com  within a few hours after the call.

A summary presentation of the quarterly results will also be available on Camtek’s website. 

ABOUT CAMTEK LTD.

Camtek is a developer and manufacturer of high-end inspection and metrology equipment for the semiconductor industry. Camtek’s systems inspect IC and measure IC features on wafers throughout the production process of semiconductor devices, covering the front and mid-end and up to the beginning of assembly (Post Dicing). Camtek’s systems inspect wafers for the most demanding semiconductor market segments, including Advanced Interconnect Packaging, Heterogenous Integration, Memory and HBM, CMOS Image Sensors, Compound Semiconductors, MEMS, and RF, serving numerous industries’ leading global IDMs, OSATs, and foundries.

With manufacturing facilities in Israel and Germany, and eight offices around the world, Camtek provides state of the art solutions in line with customers’ requirements.

This press release is available at http://www.camtek.com

This press release contains statements that may constitute “forward-looking statements” within the meaning of the Private Securities Litigation Reform Act of 1995. Such forward-looking statements are based on Camtek’s current beliefs, expectations and assumptions about its business and industry, all of which may change.  Forward-looking statements can be identified by the use of words including “believe,” “anticipate,” “should,” “intend,” “plan,” “will,” “may,” “expect,” “estimate,” “project,” “positioned,” “strategy,” and similar expressions that are intended to identify forward-looking statements, including our expectations and statements relating to our future earnings and guidance, the compound semiconductors market and our position in this market. These forward-looking statements involve known and unknown risks and uncertainties that may cause the actual results, performance or achievements of Camtek to be materially different from any future results, performance or achievements expressed or implied by such forward-looking statements. Factors that may cause our actual results to differ materially from those contained in the forward-looking statements include, but are not limited to,  risks related to the ongoing hostilities in the Middle East; the impact of disruptions to global shipment and supply chain, including but not limited to increased risk and disruption around the Strait of Hormuz, and broader impacts on energy and freight markets; the continued demand  and future contribution of HBM and Chiplet applications and devices to the Company business resulting from, among other things, the field of AI surging worldwide across companies, industries and nations; formal or informal imposition by countries of new or revised export and/or import and doing-business regulations or sanctions, including but not limited to changes in U.S. trade policies, changes or uncertainty related to the U.S. government entity list and changes in the ability to sell products incorporating U.S originated technology, which can be made without prior notice, and our ability to effectively address such global trade issues and changes; risks related to fluctuations in foreign currency exchange rates; and those other factors discussed in our Annual Report on Form 20-F as published on March 19, 2026, as well as other documents filed by the Company with the SEC as well as other documents that may be subsequently filed by Camtek from time to time with the Securities and Exchange Commission. We caution you not to place undue reliance on forward-looking statements, which speak only as of the date hereof. Camtek does not assume any obligation to update any forward-looking statements in order to reflect events or circumstances that may arise after the date of this release unless required by law.

While we believe that we have a reasonable basis for each forward-looking statement contained in this press release, we caution you that these statements are based on a combination of facts and factors currently known by us and our projections of the future, about which we cannot be certain. In addition, any forward-looking statements represent Camtek’s views only as of the date of this press release and should not be relied upon as representing its views as of any subsequent date. Camtek does not assume any obligation to update any forward-looking statements unless required by law.

This press release provides financial measures that exclude: (i) share based compensation expenses; (ii) acquisition related expenses and (iii) one-time tax expenses and are therefore not calculated in accordance with generally accepted accounting principles (GAAP). Management believes that these non-GAAP financial measures provide meaningful supplemental information regarding our performance. The presentation of this non-GAAP financial information is not intended to be considered in isolation or as a substitute for the financial information prepared and presented in accordance with GAAP. Management uses both GAAP and non-GAAP measures when evaluating the business internally and therefore felt it is important to make these non-GAAP adjustments available to investors. A reconciliation between the GAAP and non-GAAP results appears in the tables at the end of this press release. The results reported in this press-release are preliminary unaudited results, and investors should be aware of possible discrepancies between these results and the audited results to be reported, due to various factors.

(1)           During the six-month period ended June 30, 2026, the Company recorded acquisition-related expenses of $1.3 million, consisting of: (1) inventory written-up to fair value in purchase accounting charges of $0.5 million. This amount is recorded under cost of revenues line item. (2) $1.2 million amortization of intangible assets acquired recorded under cost of revenues line item. (3) $0.2 million of compensation-related expenses recorded under research and development expenses line item. (4) $0.1 million amortization of intangible assets acquired recorded under sales and marketing expenses line item. (5) $2.6 million one-time M&A expenses recorded under G&A line item. (6) $0.6 million reversal of tax provision related to the above adjustment, recorded under the tax expense line item.

                During the three-month period ended June 30, 2026, the Company recorded acquisition-related expenses of $0.8 million, consisting of: (1) inventory written-up to fair value in purchase accounting charges of $0.5 million. This amount is recorded under cost of revenues line item. (2) $0.6 million amortization of intangible assets acquired recorded under cost of revenues line item. (3) $0.2 million of compensation-related expenses recorded under research and development expenses line item. (4) $0.1 million amortization of intangible assets acquired recorded under sales and marketing expenses line item. (5) $2.6 million one-time M&A expenses recorded under G&A line item. (6) $0.4 million reversal of tax provision related to the above adjustment, recorded under the tax expense line item.

                  During the six-month period ended June 30, 2025, the Company recorded acquisition-related expenses of $1.3 million, consisting of: (1) $1.2 million amortization of intangible assets acquired recorded under cost of revenues line item. (2) $0.6 million amortization of intangible assets acquired recorded under sales and marketing expenses line item. (3) $0.6 million reversal of tax provision related to the above adjustment, recorded under the tax expense line item.

                  During the three-month period ended June 30, 2025, the Company recorded acquisition-related expenses of $0.6 million, consisting of: (1) $0.6 million amortization of intangible assets acquired recorded under cost of revenues line item. (2) $0.3 million amortization of intangible assets acquired recorded under sales and marketing expenses line item. (3) $0.3 million reversal of tax provision related to the above adjustment, recorded under the tax expense line item.

                  During the year ended December 31, 2025, the Company recorded acquisition-related expenses of $2.8 million, consisting of: (1) inventory written-up to fair value in purchase accounting charges of $0.5 million. This amount is recorded under cost of revenues line item. (2) $2.4 million amortization of intangible assets acquired recorded under cost of revenues line item. (3) $1.1 million amortization of intangible assets acquired recorded under sales and marketing expenses line item. (4) $1.2 million reversal of tax provision related to the above adjustment, recorded under the tax expense line item.

(2)           During the year ended December 31, 2025, the Company recorded a loss of $88.7 million, consisting of: (1) $100.9 million from the extinguishment of Capital Notes recorded under the other expenses line item.  (2) $12.3 million tax benefit recorded under the income tax benefit line item.

Camtek Ltd.
P.O.Box 544, Ramat Gabriel Industrial Park
Migdal Ha’Emek 23150, ISRAEL
Tel: +972 (4) 604-8100   
Fax: +972 (4) 644-0523
E-Mail: Info@camtek.com  
Web site: http://www.camtek.com

CAMTEK LTD.
Moshe Eisenberg, CFO
Tel: +972 4 604 8308
Mobile: +972 54 900 7100
moshee@camtek.com 

INTERNATIONAL INVESTOR RELATIONS  
EK Global Investor Relations
Ehud Helft
Tel: (US) 1 212 378 8040
camtek@ekgir.com 

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SOURCE Camtek Ltd.

Innovative pilot project combined Earth Observation data, analytics derived from satellite imagery and weather forecasting to explore how flooding and vegetation risks could be identified earlier to improve inspection and decision-support.

LONDON, Aug. 10, 2026 /PRNewswire/ — Network Rail, the owner and operator of Britain’s railway infrastructure, and CATALYST (PCI Geomatics), a specialist in Earth Observation analytics, have completed an exploratory Pilot project that used satellite imagery, InSAR analytics and meteorological forecasting to investigate how weather-driven risks to rail infrastructure across the Wessex Route could be identified prior to an event.

The 12-week Pilot involved collaboration between Network Rail’s Wessex Route Operations and Resilience teams and CATALYST. The exploratory work produced a prototype for an Earth Observation [EO]-enabled decision-support solution that combines satellite-derived risk indicators with short-range weather forecasts. The solution explored how to provide visibility to respond to potential flooding and vegetation risk on a route up to three (3) days in advance of the forecasted weather.

Background

Britain’s rail network is increasingly exposed to climate-driven hazards. Extreme heat, prolonged rainfall and changing vegetation conditions are placing growing pressure on tracks, embankments and cuttings. This is particularly acute in regions where clay-rich geology, dense vegetation corridors and exposure to summer extremes combine to create a uniquely challenging operating environment.

The Project

The Pilot brought together Network Rail’s operational expertise on the Wessex Route, which spans the major commuter area of south-west London, with CATALYST’s advanced Earth Observation capabilities. The result is a prototype that fuses satellite optical and radar imagery and meteorological datasets to generate location-specific risk forecasts for three hazard classes: ground deformation, vegetation fall-in, and flooding.

The solution uses a two-part framework that distinguishes between persistent susceptibility and short-term weather-driven amplification. A baseline analysis quantifies the underlying vulnerability of each rail segment using 3-year archives of satellite imagery, LiDAR-derived vegetation height models and national flood and terrain datasets. A forecast layer then applies up to 3 days of meteorological forecasting (including cumulative rainfall, peak rainfall intensity and wind gusts) to highlight where conditions are likely to elevate risk on a given day.

The solution also incorporated an interactive web-based dashboard with intuitive traffic-light classification, to produce results refreshed daily across three rail segments along the Wessex Route.

Benefits

Satellite-derived risk forecasts have the potential to materially improve the way Rail Operators anticipates and respond to weather-driven disruption.  In the Pilot, the prototype highlighted locations where flooding or vegetation risks could be elevated. Subject to further development and validation, these insights could complement existing inspection planning and resource prioritisation. The Pilot also explored when conditions deteriorate, information that could help route teams make more informed operational decisions, for example on routing, speed restrictions and vegetation clearance.

Early feedback from Network Rail operational users on the Wessex Route confirmed that the outputs were broadly consistent with known risk areas, with tree fall risk noted as a potentially valuable insight. Where vegetation assessments currently occur only every three years, a satellite-enabled approach could allow for more frequent, evidence-based monitoring, with the potential to support, supporting earlier identification of high-risk corridors and more efficient deployment of vegetation teams.

By demonstrating the methodology on one of Network Rail’s most climate-sensitive regions, the prototype could be scaled for Rail Operators on a network wide basis, adding additional hazard classes such as wildfire risk and autumn leaf-fall adhesion.

Quotes

“Network Rail supports the continued development of space-enabled technologies as part of a wider, complementary toolset for infrastructure risk management. This pilot has explored how satellite-derived datasets and weather information could give operational teams an earlier view of potential vegetation and flooding risks. We look forward to seeing how this type of capability continues to mature across the Earth Observation industry, with the potential to support more targeted inspections and interventions, reduce avoidable disruption, and continue to build resilience on climate-sensitive routes “
Thomas Desmond, Operations Director, Network Rail

“Rail infrastructure operates at the intersection of geology, vegetation and weather, and that is exactly where Earth Observation excels. By combining InSAR data, vegetation modelling and flood susceptibility data with short-range weather forecasts, we can provide richer, more timely insight: not just where the risk is, but how it is changing day to day. This Pilot is an important step towards demonstrating the potential of satellite analytics to support Rail Operators risk mitigation efforts.
June McAlarey, President & CEO, CATALYST (a PCI Geomatics brand)

Notes to Editors

About Network Rail
Network Rail owns, operates, maintains and develops the railway infrastructure in England, Scotland and Wales, including 20,000 miles of track, 30,000 bridges, tunnels and viaducts, and thousands of signals, level crossings and stations. Network Rail’s purpose is to connect people and goods with where they need to be, supporting the UK’s economic prosperity and contributing to the objectives of the UK and Scottish Governments. Its role is to run a safe, reliable and efficient rail network and to deliver a simpler, better, greener railway for customers and communities.

About CATALYST
CATALYST, a PCI Geomatics enterprise, delivers scalable business solutions using the power of Earth Observation data and AI-enabled analytics. With over 40 years of experience in image processing and data integration, CATALYST works with space agencies, satellite providers and commercial clients worldwide. CATALYST is the first commercial entity to offer CEOS-compliant analysis-ready data for both SAR and optical satellite imagery.

Media Contacts

CATALYST / PCI Geomatics: June McAlarey, mcalarey@catalyst.earth

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SOURCE CATALYST (PCI Geomatics)

HONG KONG, Aug. 10, 2026 /PRNewswire/ — Professor Li Wen Jung, Vice-President (Talent and International Strategy) and Chair Professor in the Department of Mechanical Engineering at City University of Hong Kong (CityUHK), and Professor So Hing Cheung, from the Department of Electrical Engineering, have both been elected as Members of the European Academy of Engineering (EAE). They have been recognised for their outstanding contributions to artificial intelligence (AI)-enabled micro/nano-sensing technologies and statistical signal processing and intelligent algorithms, respectively.

Professor Li is recognised for his pioneering contributions to AI, micro/nano-systems, robotics and biomedical engineering, with outstanding research achievements. He has published extensively in leading international journals and holds approximately 30 patents. In addition, he has founded start-ups to commercialise intelligent sensing and micro/nano-system technologies. These innovations have been widely applied in robotics, aerospace, sports analytics, education, infrastructure monitoring and industrial Internet of Things (IoT).

In addition to his research accomplishments, Professor Li has played a pivotal leadership role in the University’s strategic development and internationalisation. He served as Associate Provost from 2018 to 2023 and currently serves as Vice-President (Talent and International Strategy), leading initiatives in global talent recruitment, international partnerships and strategic academic development. His leadership has contributed significantly to CityUHK’s continuing development as a globally connected and innovation-driven university.

Professor Li has also made extensive contributions to the international engineering community. He previously served as President of the Institute of Electrical and Electronics Engineers (IEEE) Nanotechnology Council, founding editor of two IEEE publications, and organiser of major IEEE conferences that have fostered international collaboration in nanotechnology, robotics, biomedical engineering and materials science. He is a Fellow of both the IEEE and American Society of Mechanical Engineers (ASME), a Distinguished Overseas Scholar of the Chinese Academy of Sciences, an International Fellow of the Canadian Academy of Engineering, and a Member of the National Academy of Artificial Intelligence (NAAI).

Professor So, another newly elected EAE Member, has made sustained contributions to statistical signal processing and intelligent algorithms. His research has advanced the fields of sparse recovery, matrix completion, robust estimation, source localisation and federated learning. In recent years, his work has focused on enhancing the robustness and reliability of AI systems in complex environments. His pioneering research on sparsity-inducing algorithms, robust low-rank matrix recovery, and Byzantine-resilient federated learning has strengthened the theoretical foundations of AI while improving its practical reliability and secure real-world deployment.

Professor So has also actively promoted international academic collaboration. He previously served on the Signal Processing Theory and Methods Technical Committee of the IEEE Signal Processing Society and is an IEEE Fellow. This July, he was elected as a Member of the NAAI in recognition of his scholarly achievements, professional leadership and contributions to advancing AI. His election to the EAE further underscores the international recognition of his outstanding research achievements.

The election of Professor Li and Professor So to the EAE highlights the world-class research excellence of CityUHK scholars in engineering, AI and innovation. It also further strengthens the University’s international standing in engineering research and innovation, underscoring CityUHK’s commitment to advancing interdisciplinary research, translating research outcomes into societal impact and contributing to global technological progress.

Founded in 1992 in Gothenburg, Sweden, the EAE is an international academy. Its members are rigorously elected by their peers across 13 specialised engineering classes and comprise internationally renowned leaders and distinguished scholars from academia and industry, including Nobel Laureates, Turing Award Laureates, Fields Medalists, and recipients of other major international distinctions. Election to the EAE is regarded as one of the highest honours in the international engineering community, recognising sustained excellence in engineering research, technological innovation, education, and industrial leadership. The 2026 elected cohort comprises 147 Members. As of 5 August 2026, Professor Li was one of only four newly elected Members worldwide in the Mechanical Engineering (Materials) class. This year’s newly elected Members also include eminent scholars and technology leaders such as Turing Award laureate Professor Vinton G. Cerf, and Nobel Laureate Professor Phillip A. Sharp.

Media enquiries:

Winnie Li, Communications and Institutional Research Office, CityUHK (Tel: 3442 5221)

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SOURCE City University of Hong Kong