DXC Technology(US:DXC)2025-07-31 22:00Financial Data and Key Metrics Changes - The company reported total revenue of $3.2 billion, a decline of 4.3% year-over-year on an organic basis, which was at the high end of guidance [20][5] - Adjusted EBIT margin was 6.8%, down modestly by 10 basis points year-over-year [21] - Non-GAAP diluted EPS was $0.68, down from $0.75 in the first quarter of the previous year, primarily due to lower adjusted EBIT and higher taxes [22] - Free cash flow generated was $97 million, compared to $45 million in the same quarter last year [25] Business Line Data and Key Metrics Changes - Consulting and Engineering Services (CES), representing 39% of total revenue, declined 4.4% year-over-year on an organic basis, but bookings grew by 32% year-over-year with a strong book-to-bill ratio of 1.2 [22][23] - Global Infrastructure Services (GIS), which accounts for 51% of total revenue, declined 5.7% year-over-year organically, with a book-to-bill ratio of 0.7 due to deferred large deals [23] - Insurance, representing 10% of total revenue, grew 3.6% year-over-year organically, driven by growth in software and volume-based increases in existing accounts [24] Market Data and Key Metrics Changes - Strong bookings were observed in Europe and Asia Pacific, with book-to-bill ratios well above one, driven by public sector strength and solid deal flow in manufacturing and retail [6] - The company expects to maintain a trailing twelve-month book-to-bill ratio above one, supported by a healthy pipeline and steady deal inflows [6] Company Strategy and Development Direction - The company is focusing on integrating AI into client operations, ensuring it is a core component of business strategy [10] - A strategic partnership with Boomi was announced to enhance AI-driven integration automation, aiming to streamline operations and improve decision-making [13][14] - The leadership team is being strengthened with experienced talent to drive growth and sharpen market focus [6][8] Management's Comments on Operating Environment and Future Outlook - Management expressed confidence in achieving full-year guidance despite economic uncertainties, with expectations for narrowing declines in CES as larger contracts ramp up [42][43] - The company is committed to sustainable profitable growth and is taking deliberate steps to strengthen its balance sheet while minimizing new financial lease originations [25][26] - Management acknowledged the need for improvement in organic revenue growth and is focused on driving consistent bookings growth [16][17] Other Important Information - The company has been recognized by Gartner as an emerging leader in generative AI consulting and implementation services [11] - The company is investing in training over 50,000 engineers in generative AI to enhance its capabilities [10] Q&A Session Summary Question: Can you discuss free cash flow expectations for fiscal 2026? - Management expressed confidence in the guidance provided, noting improvements in working capital and potential benefits from new tax legislation [32][34] Question: What are the expectations for bookings in Q2? - The pipeline for Q2 is strong, with solid growth expected in non-mega deals, particularly in CES [36][37] Question: Can you elaborate on the fiscal 2026 revenue growth outlook? - Management maintained a cautious outlook due to economic uncertainty but expects narrowing declines in CES and solid performance in insurance [40][43] Question: How is AI impacting competitive positioning? - AI presents a significant opportunity for the company, enhancing its ability to deliver value to clients and improve operational efficiency [50][51] Question: What is the company's strategy regarding low-margin contracts? - The company aims to negotiate better terms during renewals rather than exiting contracts, focusing on mutual benefits [68] Question: How is the company approaching AI investments? - The company is pursuing both organic and inorganic strategies, focusing on learning and scaling AI applications across operations [70][71] Question: What is the readiness of enterprises to leverage AI solutions? - Many enterprises are still in the early stages of readiness, requiring significant work on data and processes before fully leveraging AI [86][89]