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From Apple to GM, tariffs to cost companies tens of billions

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1 year ago

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From Apple Inc. to General Motors Co., corporate America is bracing for tens of billions of dollars in damages from Trump’s trade war — and that’s before most affected goods have landed.

Among U.S. companies that have disclosed financial projections so far, GM sees a $5 billion hit this year, while Apple expects $900 million in higher costs in the current quarter. Nvidia is taking a $5.5 billion charge to account for new export controls.

President Donald Trump’s administration imposed across-the-board tariffs on most imports and targeted some countries and industries for additional levies. Duties are as high as 145% on many Chinese imports, and Beijing retaliated with import taxes of 125% on American goods. Foreign-made steel and aluminum also face a 25% US tariff.

The preemptive warnings from these and other blue chips may vastly underestimate the overall hit to bottom lines. Many companies have yet to provide guidance, with some taking a wait-and-see approach. Others have foreshadowed the pain by widening expense ranges, pulling their full-year outlooks or warning price hikes will erode consumer demand. 

Meta Platforms Inc., for instance, lifted its capital spending projection for the year by as much as $7 billion, blaming the change in part on higher-than-expected costs for globally sourced equipment. 

“There’s just a lot of uncertainty around this given the ongoing trade discussions,” Susan Li, chief financial officer of the owner of Facebook and Instagram, said on a call with analysts. 

The word “uncertainty” has become a go-to descriptor for many executives during quarterly financial results calls. The u-word has cropped up more than 6,000 times so far in those corporate calls this season — the most since the early days of the pandemic in mid-2020.

Dozens of companies have yet to report their latest earnings and answer analyst questions about the blow from tariffs, including Nvidia, Oracle Corp., Home Depot Inc. and Walmart Inc. Some industries, such as online advertising, will likely be impacted later in the year, and only if businesses cut their budgets to offset ongoing elevated costs or lower consumer demand.

Corporate managers are responding in a multitude of ways, including making attempts to shift production out of China and front load material orders ahead of anticipated price hikes. 

Microsoft Corp. said sales of its Windows software and other products rose faster than expected as customers stocked up on inventory. Amazon.com Inc. accelerated some inventory purchases in the first quarter ahead of anticipated tariffs. Combined with unrelated costs associated with customer returns, the move lowered its profitability during the first quarter by roughly $1 billion.

“Obviously, none of us knows exactly where tariffs will settle or when,” Andy Jassy, Amazon’s chief executive officer, told analysts on a conference call.

Import models

GM, which imports vehicles from South Korea, Canada and Mexico, is among the biggest losers so far in Corporate America. The Detroit-based company and other carmakers are among the hardest hit, with a 25% duty on most imported vehicles. Separate duties on imported parts also are taking a toll on vehicles built at US auto plants.

Rival Ford Motor Co., which domestically produces 80% of the cars it sells in the US, said May 5 that it sees the duties reducing earnings before interest and taxes by about $1.5 billion this year. And motorcycle maker Harley-Davidson Inc. estimates tariffs could cost it as much as $175 million this year.

It’s not just American carmakers. Japan’s Toyota Motor Corp. said Thursday that US tariffs will cut its operating income by $1.3 billion in just the first two months since April 2, which Trump called his trade “Liberation Day.“

Other manufacturers are similarly feeling the pinch on profits from tariffs. Procter & Gamble Co. estimated current and proposed levies could add $1 billion to $1.5 billion to its annual costs. The consumer goods giant plans to counter that in part by raising prices on its products.

“It’s not immaterial,” P&G CFO Andre Schulten said on an April 24 earnings call with analysts.

Stanley Black & Decker Inc., which makes power tools and lawn mowers, estimated a gross tariff impact of $1.7 billion on an annualized basis. Even with supply-chain tweaks and price increases to lessen the blow, the company still expects a roughly 15% haircut to its earnings this year. That’s assuming that sticker shock doesn’t curb demand beyond the point at which the company can contain the damage through cost cuts.

“Price increases will be necessary in the U.S. market due to the current tariffs, and we have implemented a substantial increase in April,” Stanley CEO Donald Allan told analysts on an April 30 conference call. He added the company has “notified our customers that further price action is likely required if existing tariffs stay at current levels.”

Industrial impact

Aerospace and defense giant RTX Corp. said April 22 it’s bracing for an $850 million blow to operating profits, even with mitigation efforts. Honeywell International Inc., GE HealthCare Technologies Inc. and GE Aerospace each project a 2025 hit from tariffs on the order of $500 million before accounting for supply-chain changes and price increases.

Boeing Co. expects tariffs to increase its manufacturing costs by less than $500 million annually, including a 10% duty assessed on large components of its 787 Dreamliner that are made in Japan and Italy. The fallout could worsen if the European Union joins China in imposing reciprocal tariffs that make Boeing’s planes prohibitively expensive for local buyers.

3M Co. told investors April 22 that tariffs would cost it as much as $850 million a year — but only if it took no steps to blunt the impact. The diversified industrial product manufacturer said planned countermeasures will cut its earnings exposure this year to less than half that amount.

Danaher Corp., which makes life sciences and diagnostics equipment, told analysts on a April 22 call that a projected $350 million tariff hit will likely come down as it takes steps to offset the damage, such as adding surcharges and relocating manufacturing. And chemicals giant Dupont de Nemours Inc. is taking measures to reduce estimated tariff costs of $500 million down to $60 million, or about 10 cents a share. 

“Our teams have been carefully analyzing ongoing global supply-chain dynamics, engaging with our customer and supplier base, and actively working on a number of tariff mitigation actions, including production shifts, sourcing alternatives, surcharges, and product exemptions,” CEO Lori Koch told analysts on a May 2 earnings call.

Passing along costs

GE Vernova Inc., the energy business that GE spun off last year, expects tariffs to add as much as $400 million in costs this year. The company plans to counteract that impact by leaning on inflation-protection provisions and change-of-law clauses in contracts to pass on some of the cost of tariffs to customers, while also cutting expenses and reorganizing its supply chain to lessen its dependence on China.

Medical instrument specialist Thermo Fisher Scientific Inc. and Johnson & Johnson each said they expect to lose $400 million to tariffs in 2025. Another drugmaker, Merck & Co., said tariffs will cost it $200 million this year.

Even food companies are getting dinged by the import duties. Hershey Co. said it sees $15 million to $20 million of tariff-driven costs in the second quarter. But as cocoa inventories wane, the chocolate- and candy-maker said it expects duties to drive up costs by as much as $100 million in both the third and fourth quarter before accounting for offsetting actions.

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Accounting

AI-Driven Automation and Continuous Accounting Frameworks

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9 hours ago

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August 15, 2026

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The accounting profession is undergoing a fundamental structural transition as enterprise finance departments shift from periodic month-end closes toward automated continuous accounting models. By integrating specialized machine learning algorithms directly into enterprise resource planning (ERP) platforms, chief accounting officers are transforming financial reporting from a retrospective exercise into a real-time operational asset.

The Shift from Periodic Close to Continuous Financial Reporting
Traditional accounting workflows heavily relied on manual data reconciliation, spreadsheet calculations, and multi-week closing cycles at the end of each fiscal period. In contrast, continuous accounting frameworks utilize automated software agents to process, validate, and post transactional data in real time as business activities occur.

Automated bank reconciliation tools cross-reference incoming bank feeds, invoice records, and purchase orders automatically. By resolving transactional variances instantly throughout the month, corporate accounting teams eliminate the traditional workload spikes associated with quarterly and annual closes.

Machine Learning in Audit Trails and Anomaly Detection
Advanced natural language processing (NLP) and machine learning tools are redefining internal audit and financial control environments. Automated systems analyze 100% of general ledger entries, identifying anomalous transactions, duplicate payments, and unauthorized journal entries in real time.

Rather than relying on random statistical sampling, corporate internal auditors can focus their attention on high-risk flags automatically surfaced by algorithmic monitoring platforms. This continuous risk assessment strengthens internal controls over financial reporting (ICFR) and significantly reduces fraud risk.

Evolving Roles for Accounting Professionals
As routine data entry and manual reconciliation tasks become fully automated, the skill set required for accounting professionals is shifting toward data analysis, system design, and strategic business advisory.
– Systems Governance: Accountants are increasingly responsible for monitoring algorithmic accuracy and managing data integration pipelines.
– Business Partnership: Finance professionals leverage real-time financial dashboards to advise operational leaders on margin management and working capital allocation.
– Regulatory Compliance Management: Accounting teams utilize automated platforms to ensure compliance with dynamic tax codes and international accounting standards.

Core Implementation Recommendations
1. Deploy Automated Reconciliation Tools: Integrate continuous transaction processing modules into existing enterprise ERP architectures.
2. Establish Algorithmic Governance Controls: Implement strict internal testing protocols to ensure automated accounting rules comply with GAAP/IFRS standards.
3. Reskill Accounting Teams: Invest in training finance staff on data analytics, workflow automation, and predictive financial modeling.

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Accounting

Global ESG Reporting Standards and Double Materiality Compliance

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6 days ago

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August 9, 2026

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Corporate accounting departments face expanding reporting expectations as international sustainability disclosure standards achieve regulatory enforcement across major global jurisdictions. Chief Accounting Officers (CAOs) and corporate controllers are establishing rigorous internal accounting controls to treat Environmental, Social, and Governance (ESG) metrics with the same data precision, auditability, and governance as traditional financial statements.

Regulatory Harmonization Under Global Sustainability Frameworks
The implementation of standardized sustainability reporting frameworks—notably rules established by international sustainability accounting boards—has created unified expectations for public and large private enterprises. Corporations must report standardized metrics covering greenhouse gas emissions (Scope 1, 2, and material Scope 3), energy utilization, workforce demographics, and supply chain governance.

In Europe and other participating international jurisdictions, double materiality principles are mandatory. Under double materiality, organizations must report both how external sustainability risks impact corporate financial performance, and how internal corporate operations affect surrounding environmental and social structures.

Integrating Sustainability Metrics into Core ERP Systems
To provide auditable non-financial data, enterprise organizations are integrating specialized carbon accounting and ESG management platforms directly into core ERP systems. Automated data collectors capture energy utility invoices, logistics fuel consumption metrics, and vendor compliance records in real time.

Establishing automated, traceable data pipelines ensures that non-financial reporting is supported by clear audit trails. This structured approach allows external financial auditors to provide reasonable assurance on sustainability disclosures during annual corporate reporting cycles.

Financial Impacts and Capital Market Disclosure
Accurate ESG reporting directly influences corporate cost of capital and institutional credit ratings. Commercial lenders and institutional asset managers systematically incorporate sustainability metrics into risk pricing models. Companies that demonstrate transparent, verifiable progress in operational energy efficiency and climate risk mitigation benefit from expanded access to green bond markets and lower debt pricing.

Action Steps for Accounting Leadership
1. Implement Double Materiality Frameworks: Conduct comprehensive assessments to identify material financial and operational sustainability metrics.
2. Build Auditable Non-Financial Data Pipelines: Automate ESG data collection within core accounting software to ensure data integrity.
3. Align Sustainability with Annual Financial Filings: Prepare non-financial disclosures concurrently with financial statements to satisfy regulatory audit expectations.

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Accounting

Modernizing Internal Controls: Machine Learning and Continuous Monitoring in Auditing

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1 week ago

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August 5, 2026

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Internal audit departments and corporate risk managers are modernizing internal control frameworks by shifting from periodic sampling techniques to continuous monitoring and machine learning analytics. As operational data volumes increase across enterprise organizations, automated control testing ensures financial integrity, prevents corporate fraud, and streamlines annual audit engagements.

The Limitation of Periodic Audit Sampling
Historically, internal and external auditors evaluated internal controls by reviewing random samples of financial transactions—often analyzing less than five percent of total ledger entries. In complex enterprise environments, periodic sampling methods carry inherent risks of overlooking localized financial misstatements, unauthorized disbursements, or operational control breakdowns.

In 2026, progressive internal audit functions are utilizing automated continuous monitoring platforms that evaluate one hundred percent of financial transactions in real time. Continuous control auditing systems continuously monitor general ledger entries, procurement approvals, and expense reimbursements across all operating subsidiaries.

AI-Powered Fraud Detection and Anomaly Identification
Machine learning models trained on historical corporate financial data excel at identifying subtle transactional anomalies that indicate potential fraud or operational error. Automated systems instantly flag duplicate invoice payments, unapproved vendor creation, unusual journal entry timing, and unauthorized override of authority thresholds.

When an anomaly is detected, the automated auditing platform generates an instant risk alert, allowing internal audit teams to investigate root causes immediately. Early detection prevents minor operational errors from escalating into material weaknesses in financial reporting.

Streamlining External Audit Preparation
Continuous internal control monitoring delivers significant benefits during annual external financial audits. External audit firms can review continuous audit logs and automated control testing documentation, reducing the time required for manual field testing.

This integrated approach lowers overall audit compliance fees, reduces administrative burdens on corporate accounting staff, and provides senior management and audit committees with real-time visibility into the organization’s overall risk profile.

Core Implementation Guidelines
1. Transition to 100% Data Testing: Replace legacy sampling methods with automated continuous audit monitoring systems.
2. Deploy Anomaly Detection Algorithms: Implement machine learning models to identify unauthorized transactions and operational control overrides.
3. Align Internal and External Audit Workflows: Coordinate continuous control testing protocols with external auditors to optimize annual compliance cycles.

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