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The offering will comprise existing ordinary shares held by the company’s current shareholders, meaning proceeds from the sale will go to the selling shareholders rather than to OMIFCO. The subscription period is expected to open this month, subject to final regulatory approvals from the Financial Services Authority, with trading targeted for July if market conditions remain supportive.

OMIFCO is 50 per cent owned by Oman state energy group OQ, while Indian Farmers Fertiliser Cooperative Limited and Krishak Bharati Cooperative Limited each hold 25 per cent. The float is expected to give investors access to one of Oman’s largest industrial exporters and a fertiliser producer with strong exposure to global urea and ammonia demand.

The company operates from Sur Industrial City, where its complex includes two ammonia trains and two urea trains. Annual nameplate capacity stands at about 1.15 million tonnes of ammonia and 1.65 million tonnes of urea, making the producer one of the largest fertiliser operators in the Gulf. The business is supported by long-term gas supply arrangements, established marketing relationships and export infrastructure, including a dedicated deep-water berth that connects the plant to overseas markets.

The IPO comes at a sensitive moment for fertiliser supply chains, with Middle East producers drawing stronger investor attention as global prices respond to disruptions in energy and shipping routes. Urea remains OMIFCO’s dominant revenue source, accounting for the bulk of sales, while ammonia provides an additional export stream and supports integrated production at the Sur complex.

OMIFCO generated revenue of $802.3 million in 2025, with an EBITDA margin of 50.6 per cent and a net profit margin of 40 per cent. Revenue for the first quarter of 2026 reached $207.4 million, while EBITDA margin stood at 50.5 per cent and profit margin at 40.4 per cent. The company has said it has maintained a net cash position for several years and has no interest-bearing debt, a profile likely to feature prominently in investor marketing.

The company expects to distribute dividends of about RO71.2 million, equivalent to roughly $185 million, for the 2026 financial year. The payout is planned in two equal instalments, scheduled for September 2026 and April 2027. For the following two financial years, dividend guidance is expected to be linked to either 90 per cent of net profit or a minimum annual compounded increase from the 2026 dividend base, whichever is higher.

The planned sale follows a series of listings and privatisation moves aimed at expanding the depth of Oman’s capital market. OQ Exploration and Production’s 2024 listing was one of the largest offerings in the region that year, while Asyad Shipping also formed part of the state-linked pipeline of public market transactions. OMIFCO’s proposed listing would extend that momentum into industrial manufacturing and food-security-linked exports.

Bank Muscat and Société Générale have been appointed joint global coordinators for the offering, with Bank Muscat also acting as issue manager. Arqaam Capital and United Securities are serving as joint bookrunners. The final structure, allocations and investor eligibility terms will be detailed in the prospectus after approval by the Financial Services Authority.

The offering is expected to include tranches for institutional and retail investors, with participation governed by Oman’s regulations for public joint stock companies. Shares will also be offered to selected qualified investors outside the United States under applicable securities rules, broadening the potential investor base while keeping the formal listing on the Muscat Stock Exchange.

OMIFCO’s position is closely linked to demand from agriculture markets, particularly urea used in crop nutrition. India has remained a major destination for its exports, supported by long-term commercial ties with its cooperative shareholders. From 2023 to 2025, the country accounted for most exported urea volumes and a substantial share of ammonia shipments, reinforcing the company’s role in cross-border fertiliser supply.

The Tokyo-based maker of NAND flash memory and solid-state drives has become one of the most closely watched stocks on the Tokyo Stock Exchange after a sharp rally tied to demand for data-centre storage, AI servers and high-performance memory systems. Its market capitalisation has climbed into the tens of trillions of yen, placing it near Toyota and behind SoftBank Group in a reshuffled ranking that would have seemed unlikely when Kioxia priced its initial public offering at 1,455 yen a share in December 2024.

The shift marks a wider challenge to the long-standing dominance of Japan’s manufacturing champions. Toyota, the global carmaker that symbolised the strength of Japan Inc. for decades, has been displaced from the top position by SoftBank during the latest AI-led surge, while Kioxia has risen rapidly from a former Toshiba memory unit backed by Bain Capital into a central player in the market’s technology rotation.

Kioxia’s climb reflects investor expectations that memory will remain a bottleneck in AI infrastructure. Generative AI systems require vast amounts of storage and high-speed data movement, pushing demand beyond the older cycle driven mainly by smartphones and personal computers. Data-centre operators, cloud companies and chip designers are competing for components needed to train and run large AI models, giving memory producers stronger pricing power after years of volatility.

The company’s earnings have strengthened sharply. Kioxia has projected operating profit of about 1.3 trillion yen for the April-June quarter, a figure that puts it among the most profitable listed companies in Japan. Its latest annual results showed strong momentum in revenue, margins and cash generation, helping ease earlier concerns about debt and cyclicality. Rating upgrades to investment grade have added to the perception that the balance sheet is improving at a time when investors are rewarding semiconductor exposure.

Kioxia’s origins give its rise broader industrial significance. The company traces its roots to Toshiba’s memory business, which was sold to a Bain-led consortium in 2018 after Toshiba’s financial crisis. The group was renamed Kioxia in 2019, drawing on the Japanese word for memory and the Greek word for value. Its public listing in 2024 valued it below 800 billion yen, after earlier IPO attempts were delayed by weak valuation conditions and pressure in the memory market.

That cautious debut contrasts sharply with its current status. Shares have multiplied as investors reassessed the role of NAND flash in AI systems, especially as large-scale data centres require higher storage density, faster access and more energy-efficient hardware. Kioxia has also been developing advanced BiCS FLASH technology and promoting next-generation SSDs for AI storage infrastructure.

The rally has also lifted questions over valuation risk. Memory chips remain one of the semiconductor industry’s most cyclical segments, with prices exposed to shifts in capital spending, inventory levels and customer demand. A sharp rise in market value leaves Kioxia vulnerable if hyperscaler investment slows, if competitors add capacity faster than expected, or if customers push back against higher pricing.

Competition is intense. Samsung Electronics, SK Hynix, Micron Technology and SanDisk remain key players across memory markets, with SK Hynix holding a dominant position in high-bandwidth memory used in AI accelerators. Kioxia’s strength is more closely tied to NAND flash and SSDs, where demand from AI infrastructure has broadened the market but does not eliminate the risk of oversupply once new capacity comes on stream.

Toyota’s relative decline in the rankings does not point to operational weakness alone. The carmaker remains one of the world’s largest manufacturers by sales and a major profit generator, but investors have been rotating away from traditional industrial leaders towards companies with direct AI exposure. Concerns over electric-vehicle competition, currency movements and the cost of future technologies have weighed on auto valuations, even as Toyota continues to command global scale in hybrid vehicles and supply-chain management.

SoftBank’s ascent has further highlighted the changing market narrative. Its exposure to Arm and AI-related investments has drawn investors seeking Japan-based access to global AI infrastructure. Together, SoftBank and Kioxia now represent a market story centred on chips, data centres, software platforms and computing capacity rather than the export-led industrial model that long defined Japan’s equity market.

Foreign investor flows have amplified the shift. Japan’s equity market has benefited from corporate-governance reforms, stronger capital returns and renewed interest in companies linked to the AI supply chain. The Nikkei 225 has reached record territory, though the rally has been uneven, with gains concentrated in a limited group of technology-linked names while broader market performance has been more mixed.

Kioxia’s next test will be whether it can convert favourable pricing and sold-out capacity into durable earnings. Investors will look for clearer shareholder-return plans, disciplined capital expenditure and evidence that AI storage demand can remain strong beyond the current investment wave. The company’s contemplated US share listing would widen access to global technology investors and could further raise its profile if market conditions remain supportive.

Born From Personal Experience

Handshake Finance launched in September 2025, founded by Christopher Chan and Lee Jun Xian. Both had seen the trust gap up close.

Jun’s close friend lost S$80,000 in pre-payments to a renovation company that collapsed mid-project. At the same time, Christopher’s friend paid a deposit on a rental home she had never viewed, only to discover the listing was fraudulent. Both incidents pointed to the same structural failure: in service industries, someone always carries the risk, and when trust breaks down, there is little recourse on either side.

The two founders met as university classmates in London and returned to the problem with complementary backgrounds. Christopher Chan had spent his career in fintech, designing compliant payment flows on regulated infrastructure. Lee Jun Xian came from venture capital, with experience scaling early-stage companies from zero to one.

Trust as the foundation, not the feature

Handshake operates on bank-grade payment infrastructure provided by MAS-regulated partners. All payment flows are fully MAS regulated, and funds are held with DBS in segregated escrow accounts. For the founders, this is not a checkbox — it is the entire foundation of the business.

“We are trying to solve a structural trust gap in service industries. But before any of that, our users have to trust us,” said Christopher Chan, Co-Founder of Handshake Finance. “Making sure every fund flow is fully compliant, and that our users feel completely assured handing us money in what are often life-changing transactions, is our number one priority. Everything else is built on top of that.”

Closing the Trust Gap Across Service Industries

Every high-trust service transaction carries the same structural flaw: either the customer pays before work is done, or the provider works before getting paid. Someone always carries the risk. Across industries — from renovation and interior design to event planning, creative agencies, and professional services — that risk falls entirely on one side, and when trust breaks down, there is little recourse for either party.

Handshake Finance was built to close that gap. The platform holds customer funds in escrow and releases them to service providers against agreed milestones, giving buyers protection from pre-payment risk while giving service providers the confidence to deliver. The model is designed to work across any service industry where the payment trust problem exists.

Why Renovation and Interior Design Is Handshake’s Beachhead Market

Renovation was where the structural failure ran deepest. The industry operates with no mandatory licensing or regulatory framework. Anyone can set up as an interior designer with no accreditation required, leaving homeowners with no reliable way to assess accountability before signing a contract.

There is no standard payment framework either. Homeowners routinely pay up to 50% of the total project value upfront, with funds going directly to the interior designer before any work begins. If a project stalls or a firm shuts down, there is limited protection and recourse. At the other end of the project, interior designers face the opposite problem: the final handover payment, where homeowners hold most of the leverage, can be withheld over disputes that wipe out up to half a project’s margin.

Eight Months of Listening Before a Single Line of Code

Before writing any software, the Handshake team spent eight months speaking with more than 80 interior designers and homeowners across Singapore to understand the real frictions on both sides of the transaction. What they found reinforced the decision to start here: high transaction values, a broken payment norm, an unregulated supply side, and no existing platform that protected both parties.

That research shaped how the product was built. After a renovation contract is signed, Handshake’s AI automatically generates the transaction structure with line items, payment schedules, and sub-milestones set out clearly to remove ambiguity. Homeowners place funds into escrow rather than paying upfront directly to the interior designer.

Payment releases to the designer as work progresses against agreed milestones, with sub-milestone releases providing faster cashflow access without compromising homeowner protection. The platform also replaces the manual spreadsheet-based back-office admin most interior design firms still run, and offers complimentary mediation and independent assessments in the event of a dispute.

More than 40 Interior Design Companies Onboarded and 2 Major Partnerships Signed

Handshake now has more than 40 interior design companies onboarded. The company has signed partnerships with Renonation.sg and Network SG, two of Singapore’s most established renovation marketplaces, to drive awareness and adoption across the broader ecosystem.

“It is an incredible feeling to see this much support behind us, and we are excited about what is ahead,” said Lee Jun Xian, Co-Founder of Handshake Finance. “We are industry-agnostic by design, but we are laser-focused on fixing renovation first. The scams that are still everyday occurrences in this space need to go, and the transactional experience for everyone involved needs to be better before we turn our attention to the next industry or market.”

Homeowners and interior designers can learn more or request access at handshake.finance.

Hashtag: #HandshakeFinance

The issuer is solely responsible for the content of this announcement.

About Handshake Finance

Handshake Finance is a Singapore-based fintech building escrow-as-a-service infrastructure for high-trust service industries. The platform holds customer funds in segregated escrow accounts and releases them against agreed milestones, protecting buyers from pre-payment risk while giving service providers the confidence to deliver. All payment flows are fully MAS regulated. Funds are held with DBS. Handshake is currently focused on Singapore’s renovation and interior design market as its beachhead, with plans to expand across other service industries and Southeast Asia.

The shift reflects a sharp change in investor preference after months of underperformance by Hong Kong equities against mainland peers. Mainland investors sold about HK$3.6 billion of Hong Kong shares through the trading links last month, the first monthly net outflow since June 2023 and one of only a small number of monthly selling episodes since the southbound channel became a key route for mainland money into the city’s market.

The move is striking because southbound buying has been one of the strongest supports for Hong Kong stocks over the past year. Mainland funds poured into high-dividend banks, telecoms groups, energy companies and internet platforms during earlier phases of the rally, helping offset caution among global investors. That support is now weakening as domestic funds chase companies tied to AI infrastructure, chips, optical modules, software and computing power.

Onshore AI shares have delivered a stronger performance than Hong Kong’s technology benchmarks this year. The CSI Artificial Intelligence Index has risen sharply, while the Hang Seng Tech Index has lagged, weighed down by concerns over platform margins, heavy spending on AI models and pressure from subsidy battles in e-commerce and online services. The divergence has encouraged active money managers and retail traders to reassess whether Hong Kong-listed internet giants still offer the most attractive exposure to China’s technology story.

The change in flows also comes as Beijing’s industrial policy continues to favour advanced manufacturing, domestic semiconductors, large language models and high-end computing. Companies linked to AI servers, data centres, optical communications, robotics and chip design have become favoured market proxies for China’s effort to reduce dependence on foreign technology. That policy backdrop has helped support valuations even as questions persist over earnings visibility, capital expenditure demands and competition.

Cambricon Technologies, Zhongji Innolight, Kingsoft Office, iFlytek and other mainland-listed technology names have been among the companies watched closely by investors seeking domestic AI exposure. Hong Kong still hosts major technology groups such as Tencent, Alibaba, Baidu, Meituan and Xiaomi, but the market’s heavyweight structure makes it more exposed to mature platform businesses than to the faster-growing AI hardware and infrastructure supply chain favoured by onshore traders.

Hong Kong’s role as a fundraising centre remains intact despite the outflow. The city has continued to attract listings from technology, healthcare, robotics and semiconductor-related companies, while mainland firms still view it as the most practical offshore venue for raising international capital. Several AI and chip-linked companies are preparing or considering Hong Kong share sales, suggesting the city remains central to China’s capital market architecture even as secondary-market money rotates elsewhere.

The weakness in southbound appetite also reflects broader caution over Hong Kong valuations after a strong earlier advance. Investors who bought the market for dividends and policy support are locking in gains while seeking higher-beta opportunities at home. The shift does not necessarily point to a structural rejection of Hong Kong stocks, but it does show that mainland money is becoming more selective after helping drive earlier momentum.

Regulatory pressure on offshore investment channels may also be influencing behaviour. Authorities have tightened scrutiny of unauthorised cross-border trading accounts and offshore brokerage activity, reinforcing the appeal of regulated domestic routes. While Stock Connect remains an approved mechanism, wider efforts to keep capital within supervised channels have added another layer of sensitivity around outbound allocations.

Market analysts say the key question is whether the AI-led onshore rally can broaden beyond a narrow group of highly valued companies. China’s AI supply chain is benefiting from state support, falling model costs and growing enterprise adoption, but investors face risks from crowded positioning, uneven profitability and rapid technological shifts. Several AI-linked companies still trade more on expectations than on proven earnings, leaving the sector vulnerable to volatility if sentiment turns.

Financial markets are inherently complex systems shaped by price dynamics, capital flows, macroeconomic cycles, policy changes, and investor sentiment. Traditional financial modeling approaches, typically grounded in historical data, empirical assumptions, and linear analysis, face limitations in capturing such multidimensional interactions. AI for Science introduces new methodologies through simulation, advanced reasoning, and multivariable modeling, offering a broader analytical perspective.

The application of AI is not positioned as a replacement for traditional financial models, but as an enhancement to analytical capabilities in conditions of uncertainty. In areas such as asset valuation, risk exposure assessment, and macroeconomic scenario simulation, the central challenge lies in understanding variable interactions and maintaining model interpretability under extreme conditions. AI-driven approaches contribute to improved analysis by enabling more comprehensive scenario testing and deeper insight into systemic relationships.

Chow Kit Hui, founder of KitHui Growth Financial Academy, continues to monitor advancements in AI training architectures, algorithm optimization, and scientific research-grade artificial intelligence. Ongoing engagement with developments in intelligent decision-making and financial technology reflects a commitment to integrating emerging methodologies into financial research and education frameworks.

Insights from the Science x AI Summit 2026 indicate that the long-term value of AI extends beyond efficiency gains and content generation. Greater potential lies in supporting the analysis of complex systemic challenges. In financial applications, AI is not expected to eliminate risk or replace professional judgment; however, it can contribute to earlier risk identification, more robust assumption testing, and decision-making processes that more accurately reflect real-world complexity.

Hashtag: #ScienceXAI #ChowKitHui #AIforScience

https://www.kithuiacademy.com/

The issuer is solely responsible for the content of this announcement.

About KitHui Growth Financial Academy

KitHui Growth Financial Academy focuses on advancing structured and long-term financial understanding across key areas including global asset allocation, corporate mergers and acquisitions, private equity, derivatives, risk management, macroeconomic research, and financial valuation modeling. The academy emphasizes systematic thinking and rational analysis rather than short-term market forecasting or speculative investment strategies.

The stock climbed about 6 per cent on Tuesday as investors reacted to signs that Tencent is moving closer to embedding a task-performing assistant inside WeChat, the messaging, payments and social platform used by more than 1.4 billion people. The prototype is designed to help users complete everyday actions within the app, including finding venues, interacting with mini-programmes and placing customised orders, rather than merely answering questions in chatbot form.

The planned agent would mark a significant step in Tencent’s push to convert its AI investments into consumer products at scale. WeChat already functions as a digital operating system for daily life in China, covering messaging, payments, shopping, food delivery, public services, entertainment, ride-hailing and enterprise communication. That reach gives Tencent an advantage that few rivals can match: a single platform with a vast user base, heavy daily engagement and a dense network of third-party services.

People familiar with the prototype have indicated that users would be able to access the AI agent through a swipe gesture on the main WeChat screen. Tencent is expected to begin the regulatory compliance process before wider testing, with a small group of external users likely to receive access before any phased public launch. A firm release date has not been set, reflecting both regulatory uncertainty and the technical demands of deploying agentic AI across a platform of WeChat’s size.

The market response underscores how investors are reassessing Tencent’s AI position after months of concern that the company was trailing Alibaba, ByteDance and Baidu in the race to commercialise generative AI. Tencent has promoted Yuanbao, its AI chatbot, developed its Hunyuan foundation model and introduced productivity-focused AI tools, but WeChat remains the asset most capable of turning those efforts into a daily consumer habit.

Tencent’s first-quarter earnings showed both the strength and the cost of that strategy. Revenue rose 9 per cent year on year to RMB196.5 billion, while IFRS net profit attributable to equity holders increased 21 per cent to RMB58.1 billion. Marketing services revenue rose 20 per cent to RMB38.2 billion, helped by AI-driven advertising improvements, while domestic games revenue grew 6 per cent and international games revenue climbed 13 per cent. Capital expenditure reached RMB31.9 billion, up 16 per cent, as spending on AI infrastructure continued to rise.

The company has told investors that new AI products are weighing on margins, even as core businesses continue to generate strong cash flow. Excluding new AI products, non-IFRS operating profit rose 17 per cent in the first quarter, compared with a 9 per cent increase overall. That gap highlights the near-term drag from AI investment, but also explains why investors are sensitive to any sign that Tencent can place AI directly into revenue-generating services.

Competition is intensifying across China’s technology sector. Alibaba has pushed Qwen into consumer and enterprise markets, ByteDance has expanded AI features across its content ecosystem, and Baidu continues to build around Ernie and AI cloud services. The key battleground is shifting from chatbots to agents that can perform tasks, connect with apps and act across digital services with limited user input.

WeChat’s mini-programme ecosystem could be central to Tencent’s approach. Millions of merchants, developers and service providers already operate within the platform, allowing an AI agent to navigate services without pushing users outside Tencent’s environment. For merchants, an effective agent could increase conversion rates by shortening the path from search to purchase. For Tencent, it could deepen engagement, improve advertising relevance and strengthen its fintech and business services ecosystem.

Regulation remains a critical constraint. China requires generative AI services offered to the public to comply with rules covering data security, content control and algorithmic governance. Any WeChat agent would need to satisfy those requirements before broad release, especially because it could interact with payments, commerce and public services.