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Company Expects First Half of 2026 to Mark Bottom of Lift Truck Market Cycle
The Company continues to believe the first half of 2026 marked the bottom of the current lift truck market cycle. Lower shipment volumes, higher tariff costs and an unfavorable product mix negatively impacted first-half results. However, bookings have increased for four consecutive quarters and Q2 revenue, operating results and cash flow improved sequentially. These trends are expected to support improving performance through the remainder of 2026. The Company's updated outlook reflects current assumptions regarding tariffs, geopolitical developments and market conditions. Key tariff-related assumptions include: U.S. and international tariff policies and rates in effect as of July serve as the baseline; continued application of Section 232 tariffs on steel, aluminum, copper, and certain derivative products, including the April expansion that applies tariffs to the full customs value of covered products rather than only the underlying metal content; continued application of Section 301 tariffs on Chinese-origin goods, including lift truck components, with current product-specific exclusions scheduled to expire in November 2026; the temporary global import surcharge imposed under Section 122 of the Trade Act of 1974, which replaced tariffs previously imposed under the International Emergency Economic Powers Act is assumed to remain in effect through its statutory expiration; given uncertainty regarding any successor trade measures, no benefit or incremental cost from potential replacement actions has been assumed; demand forecasts based on available market data and booking trends; and the successful execution of the Company's tariff mitigation initiatives, including pricing actions, sourcing adjustments, product-cost reductions, and other cost-management programs.
American Financial Group Reports Q2 Book Value Per Share at $58.14
Reports Q2 book value per share $58.14 at June 30 vs $57.78 at December 31, 2025. Carl H. Lindner III and S. Craig Lindner, AFG's Co-CEOs, issued this statement: "AFG's strong underwriting margins, healthy premium growth and higher P&C net investment income set a new Q2 record for pretax P&C operating income. This level of performance contributed to an annualized core operating return on equity of 19%. These results, coupled with effective capital management and our entrepreneurial, opportunistic culture and disciplined operating philosophy enable us to continue to create value for our shareholders. Messrs. Lindner continued: "AFG continued to have significant excess capital at June 30, 2026. Returning capital to shareholders in the form of regular and special cash dividends and through opportunistic share repurchases is an important and effective component of our capital management strategy. In addition, our capital will be deployed into AFG's core businesses as we identify the potential for healthy, profitable organic growth, and opportunities to expand our specialty niche businesses through acquisitions and start-ups that meet our target return thresholds."
Q2 Revenue Reports $812.9M, Down Year-over-Year
Reports Q2 revenue $812.9M vs. $956.6M last year. Reports Q2 bookings of $680M represent the fourth consecutive quarter of growth; 17% higher sequentially and twice the level of Q2 of FY25.
Q2 Revenue Reports $812.9M, Down Year-over-Year
Reports Q2 revenue $812.9M vs. $956.6M last year. Reports Q2 bookings of $680M represent the fourth consecutive quarter of growth; 17% higher sequentially and twice the level of Q2 of FY25.
NTT DATA and Hyster-Yale Launch Physical AI Application
NTT DATA (NTDTY) and Hyster-Yale Materials Handling (HY) announced a breakthrough application of physical AI that embeds intelligence directly into manufacturing processes. This approach leverages sensor data to enable machines and systems to perceive, understand and act in real time within real-world operations. Bringing this capability into practice introduces AI-driven quality assurance directly into HYMH's manufacturing operations. This co-developed approach represents a first-of-its-kind use case of how physical AI can be applied in an industrial assembly environment by embedding intelligence into production workflows, helping to safeguard that products are built to consistently high standards. NTT DATA designed and developed the solution at HYMH's manufacturing facility in Berea, KY, integrating vision sensors, edge AI that processes data on-site and advanced analytics into a critical assembly workflow. Together with partner Archetype AI, NTT DATA, in collaboration with HYMH, adapted a physical AI model that analyzes assembly activity against expected production steps, validating that all parts are installed and that assembly stages are completed, flagging deviations before the product moves to the next stage. By validating quality throughout the assembly process, the solution helps identify and address potential issues before products leave the factory floor.
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