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IBM
FY2025 Q3
Raised
International Business Machines Corporation earnings call
Buzzberg read
Raised full-year revenue growth to more than 5% and free cash flow to about $14 billion.
IBM reported a strong Q3 with 7% revenue growth, raised full-year guidance, and highlighted accelerating AI adoption across software, consulting, and infrastructure. Management expressed optimism about 2026, driven by mainframe cycle strength, Red Hat recovery, and growing AI book of business. Revenue growth accelerated to 7%, the highest in several years, with all segments accelerating sequentially.
Buzzberg read Raised full-year revenue growth to more than 5% and free cash flow to about $14 billion. IBM reported a strong Q3 with 7% revenue growth, raised full-year guidance, and highlighted accelerating AI adoption across software, consulting, and infrastructure. Management expressed optimism about 2026, driven by mainframe cycle strength, Red Hat recovery, and growing AI book of business. Revenue growth accelerated to 7%, the highest in several years, with all segments accelerating sequentially. Read full analysisCollapse analysis
IBM reported a strong Q3 with 7% revenue growth, raised full-year guidance, and highlighted accelerating AI adoption across software, consulting, and infrastructure. Management expressed optimism about 2026, driven by mainframe cycle strength, Red Hat recovery, and growing AI book of business. Revenue growth accelerated to 7%, the highest in several years, with all segments accelerating sequentially.
- Full-year guidance raised: revenue growth >5%, FCF ~$14B, operating pre-tax margin expansion >1 point.
- AI book of business exceeded $9.5B inception-to-date; consulting GenAI backlog $1.5B in Q3 alone.
- Z17 mainframe set a record two-quarter launch, with MIPS shipments 130% of prior cycle, driving infrastructure growth.
AUTOMATION Revenue growth22%Reported
CONSULTING Revenue growth2%Reported
INFRASTRUCTURE Revenue growth15%Reported
RED_HAT Revenue growth12%Reported
6 grounded callouts
What matters now
The highest-signal changes from the call.
Software
Software growth accelerated to 9% with automation up 22%.
Infrastructure
Z17 is strongest two-quarter launch in history, driving infrastructure growth.
Show 3 more callouts
AI
AI book of business exceeds $9.5 billion inception-to-date.
Productivity
Productivity savings target raised to $4.5 billion annual run rate.
Consulting
Consulting returned to growth, up 2%, with AI-driven demand.
Reported period
Actuals
| Metric | Reported | Change |
|---|---|---|
| AUTOMATION Revenue growth | 22% | Reported |
| CONSULTING Revenue growth | 2% | Reported |
| INFRASTRUCTURE Revenue growth | 15% | Reported |
| RED_HAT Revenue growth | 12% | Reported |
| SOFTWARE Revenue growth | 9% | Reported |
| Revenue | $16.331B | Reported |
Forward-looking
Forward guidance
| Metric | Period | Range | Midpoint | Status |
|---|---|---|---|---|
| Free cash flow | FY2025 | $14B | $14B | Raised |
| Operating margin | FY2025 | 1% | 1% | Raised |
| Revenue | FY2025 | 5% | 5% | Raised |
| RevenueCONSULTING | FY2025 Q4 | 2% | 2% | Maintained |
AI, capex & demand read
Management read
Confident
Management expressed optimism about broad-based demand, raised full-year guidance, and highlighted accelerating growth and strong portfolio momentum.
Management AI read
Management highlighted accelerating AI adoption and a growing GenAI book of business, now over $9.5 billion inception-to-date, with strong demand for WatsonX, Red Hat AI, and agentic orchestration. They see AI as a key growth driver and productivity tool, with early momentum in agentic platforms and digital workers in consulting.
Investment and capacity
Capex was not directly discussed, but management noted a reduction in capex year-over-year due to the Palo Alto QRadar transaction, and indicated continued investment in innovation, including quantum computing and AI infrastructure.
all 9 named companies below
Companiesreturns since call
Customers
Customers
Arvind Krishna
HSBC is using IBM's quantum computing for financial modeling, indicating early quantum adoption in banking and potential for broader deployment.
Evidence
“HSBC achieved a notable improvement in bond trading predictions using IBM's Heron quantum processor.”
Customers
Arvind Krishna
State Street is investing in on-prem AI inferencing with IBM's Z17, highlighting demand for secure, low-latency AI in financial services.
Evidence
“In infrastructure, clients such as Nationwide, State Street, and Credit Agricole are turning to AI to manage increased workloads, and use Z17 for its advanced AI inferencing capabilities and enhanced resiliency.”
Customers
Arvind Krishna
Deutsche Telekom is integrating IBM's WatsonX AI into its operations, signaling enterprise AI adoption in telecom.
Evidence
“Companies like Deutsche Telekom and SLP Global are embedding WatsonX into core workflows.”
Partners
ANTHROPIC
Partners
Arvind Krishna
IBM is embedding Anthropic's Claude into its enterprise products, signaling a deepening partnership that could expand Claude's enterprise reach.
Evidence
“We also partnered with Anthropic to infuse Claude into IBM products to unlock new Gen AI features and capabilities.”
XAI.PVT
Partners
Arvind Krishna
IBM's partnership to run WatsonX on Grok (xAI) gives clients ultra-high-speed, low-latency AI inferencing at lower cost, potentially accelerating enterprise adoption of xAI's technology. — This deal integrates xAI's infrastructure into IBM's enterprise stack, providing xAI with a major distribution channel for its AI hardware/software.
Evidence
“This week, we announced a partnership to run WatsonX on Grok, giving clients access to their inferencing technology, which provides ultra-high-speed, low-latency AI capabilities at lower costs.”
Partners
Arvind Krishna
IBM and AMD are collaborating on hybrid quantum-classical supercomputing, potentially opening new revenue opportunities for AMD in quantum infrastructure.
Evidence
“We recently announced a partnership with AMD to build quantum-centric supercomputing architectures, leveraging IBM's quantum expertise and AMD's CPUs, GPUs, and other accelerator technologies.”
MISTRAL
META
-19.4%
Partners
Arvind Krishna
IBM's platform supports Mistral models alongside others, validating Mistral as a key open-source AI provider in enterprise deployments.
Evidence
“Our hybrid approach to models enables clients to use the best option for each use case, either as granite models, third-party models, or open models from HuggingFace, Meta, and Mistral.”
External signals
Supply-chain alpha · 3returns since call
IBM's Z17 mainframe cycle is the strongest two-quarter launch in history, with MIPS shipments 130% of the prior Z16 cycle, indicating surging enterprise demand for on-prem AI inferencing.
IBM's partnership to run WatsonX on Grok (xAI) gives clients ultra-high-speed, low-latency AI inferencing at lower cost, potentially accelerating enterprise adoption of xAI's technology.
IBM's consulting GenAI book of business reached $1.5 billion in Q3 alone, with AI-related projects more than doubling year-over-year, showing that enterprise AI spending is shifting from pilots to scaled deployments.
Methodology & coverage
Management-only analysis. All 9 validated company mentions are shown. Reported actuals and forward guidance are kept separate. Public evidence is limited to eight short attributed quotes. AI-generated analysis can be incomplete or wrong; verify important claims against the original source.