Mauna Kea Technologies reports 195,296,487 shares in circulation as of July 31, 2026

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Key Highlights

Mauna Kea Technologies filed its mandatory monthly disclosure for July 2026, showing 195,296,487 shares in circulation. The company reported identical gross and net voting rights of 196,383,354, indicating no suspended votes. The filing adheres to French commercial code and AMF regulations, providing clarity on the company's capital structure for stakeholders.

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Mauna Kea Technologies reported its monthly share capital data for July 2026, disclosing 195,296,487 shares comprising the capital in circulation as of July 31, 2026. The medical device company, listed on Euronext Growth Paris under ticker ALMKT (ISIN: FR0010609263), also confirmed that both its gross total voting rights and net total voting rights stand at 196,383,354. This disclosure ensures transparency regarding ownership structure and voting power distribution for investors monitoring the firm’s equity base.

The filing was made in accordance with Article L233-8-II of the Commercial Code and Article 223-16 of the General Regulations of the AMF. These regulatory requirements mandate regular updates on share capital composition to maintain market integrity and inform stakeholders of any changes in voting rights thresholds.

Share Capital Breakdown

The following table details the share capital and voting rights figures as reported by Mauna Kea Technologies:

Date Shares in Circulation Gross Voting Rights Net Voting Rights
July 31, 2026 195,296,487 196,383,354 196,383,354

The gross number of voting rights serves as the basis for calculating regulatory thresholds. In line with Article 223-11 of the General Regulations of the AMF, this figure includes all shares carrying voting rights, even those without active voting privileges. The net number of voting rights excludes shares with suspended voting rights and reflects the count exercisable in general meetings, published per the AMF recommendation of July 17, 2007.

What the Numbers Show

The alignment between gross and net voting rights at 196,383,354 indicates that no voting rights were suspended during the reporting period. This parity suggests a stable shareholder base without temporary restrictions on voting power, which can sometimes occur due to legal disputes or specific corporate governance actions. For investors tracking control dynamics, this consistency implies that all theoretical voting power is currently actionable in shareholder meetings.

Mauna Kea Technologies manufactures and sells Cellvizio®, a real-time in vivo cellular imaging platform used globally across various medical specialties. The technology enables physicians to monitor disease progression, assess reactions in real time, and guide surgical interventions. For further details, investors may visit www.maunakeatech.com or contact investor relations at investors@maunakeatech.com .

Disclaimer: This article is AI-generated using data from ViewTrade. ScanX is not liable for any inaccuracies.

How might the stable voting rights structure influence potential M&A interest or strategic partnerships for Mauna Kea Technologies in 2026?

What impact could the current share capital size have on future dilution risks if the company pursues additional funding rounds for Cellvizio® expansion?

Are there any upcoming regulatory changes in France or the EU that could alter the reporting requirements for companies listed on Euronext Growth Paris?

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Mauna Kea Technologies confirms 96% diagnostic accuracy in two new studies

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Key Highlights

Mauna Kea Technologies reported two peer-reviewed studies showing its Cellvizio platform achieves 96% accuracy in diagnosing pancreatic cysts and 87% accuracy in detecting high-risk lesions using AI. The findings highlight reduced unnecessary surgeries and improved detection rates compared to conventional methods.

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Mauna Kea Technologies (Euronext Growth: ALMKT) has announced two new peer-reviewed clinical studies that reinforce the diagnostic value of its Cellvizio® probe and needle-based confocal laser endomicroscopy (p/nCLE) platform for pancreatic cystic lesions (PCLs). The findings demonstrate significant improvements in diagnostic accuracy and physician agreement, addressing critical challenges in distinguishing mucinous from non-mucinous cysts and detecting high-grade dysplasia. These results support the company’s strategy to scale adoption across U.S. centers and integrate artificial intelligence into its diagnostic workflow.

The first study, published in Gastrointestinal Endoscopy, was an international interobserver assessment involving 15 independent physicians of varying experience levels. The research evaluated the reproducibility of pancreatic cyst diagnostics when Cellvizio imaging was added to standard evaluation protocols. The addition of real-time cellular imaging increased the accuracy for distinguishing mucinous versus non-mucinous cysts to 96%. Furthermore, subtype-specific accuracy rose to approximately 85%, and agreement among the independent observers improved significantly. This reproducibility across clinicians is cited as a key factor for broad clinical adoption.

The second study, published in Techniques and Innovations in Gastrointestinal Endoscopy, focused on an nCLE-guided artificial intelligence algorithm designed to detect high-grade dysplasia or early cancer within intraductal papillary mucinous neoplasms (IPMNs). In higher-risk, non-gastric IPMN subtypes, the AI algorithm achieved 87% accuracy, a substantial increase from the 53% accuracy rate of conventional methods. The study noted comparable sensitivity across subtypes, providing early evidence supporting the company’s roadmap to deploy AI-assisted decision support tools on the Cellvizio platform.

Clinical Impact and Expert Commentary

Dr. Somashekar (Som) Krishna, Professor of Medicine and Director of Advanced Endoscopy at The Ohio State University Wexner Medical Center, highlighted the clinical stakes of accurate diagnosis. He noted that in pancreatic cyst diagnosis, errors can lead to either unnecessary surgery for benign cysts or missed cancers. In the ongoing multicenter CLIMB study evaluating EUS-nCLE, adding real-time EUS-nCLE to standard evaluation raised diagnostic accuracy from 73% to 85%. This improvement reduced unnecessary surgery for benign cysts by more than 40% and cut missed cancers roughly six-fold. Dr. Krishna emphasized that these gains were produced by 15 international endosonographers new to the technique, demonstrating consistent performance across users.

Sacha Loiseau, Ph.D., Chairman and Chief Executive Officer of Mauna Kea Technologies, stated that the growing body of independent, peer-reviewed evidence confirms the unique value of Cellvizio in providing a window into pancreatic cysts that no other technology offers. He added that avoiding unnecessary surgeries and detecting cancers earlier strengthens the company’s conviction as it scales adoption and brings AI-assisted diagnosis to the platform.

What the Numbers Show

The data reveals a clear divergence between conventional diagnostic methods and those augmented by Cellvizio technology. While standard evaluations struggle with consistency, the integration of nCLE imaging raises overall accuracy to 96% for primary classification. More notably, the application of AI to this imaging data bridges a significant gap in detecting high-risk lesions, nearly doubling the accuracy rate from 53% to 87% in non-gastric IPMN subtypes. This suggests that the combination of hardware-based cellular imaging and software-driven analysis addresses both the reproducibility and sensitivity limitations inherent in traditional pancreatic cyst management.

Metric Conventional Methods With Cellvizio / AI Improvement
Mucinous vs. Non-mucinous Accuracy N/A 96% Significant
High-Risk Lesion Detection (AI) 53% 87% +34 percentage points
Unnecessary Surgery Reduction Baseline >40% reduction In CLIMB study
Missed Cancers Baseline ~6-fold reduction In CLIMB study

Mauna Kea Technologies is listed on Euronext Growth under the ticker ALMKT. The company’s 2025 Annual Report was filed with the Autorité des marchés financiers (AMF) on April 30, 2026.

Disclaimer: This article is AI-generated using data from ViewTrade. ScanX is not liable for any inaccuracies.

How might the demonstrated 96% diagnostic accuracy influence insurance reimbursement policies for Cellvizio procedures in the U.S. market?

What are the regulatory hurdles Mauna Kea Technologies faces in obtaining FDA clearance for its AI-assisted decision support tools?

Could the reduction in unnecessary surgeries by over 40% lead to significant cost savings for healthcare providers, thereby accelerating adoption rates?

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