Ingram Micro’s Earnings Calls Clash on PC Cycle Timing and Gross Margin Signals

Date of Call: Mar 2, 2026

Financials Results

• Revenue: Q4: $14.88B, up 11.5% YOY; FY: $52.6B, up 9.5% YOY
• EPS: Q4: $0.96 per diluted share, up 4.3% YOY; FY: $2.90 per diluted share, up 8.6% YOY
• Gross Margin: Q4: 6.50%, down 51 basis points YOY; FY: not explicitly provided
• Operating Margin: Q4: 2.35%, up 6 basis points YOY; FY: not explicitly provided

Guidance:

• Q1 2026 net sales guided at $12.45B to $12.80B, representing ~2.8% YOY growth at midpoint.
• Q1 gross margin expected at ~6.87% at midpoint, a 38 bps sequential and 12 bps YOY improvement.
• Q1 non-GAAP diluted EPS guided at $0.67 to $0.75.
• Expect >30% of adjusted EBITDA converted to free cash flow for 2025 and 2026 combined.
• Not assuming notable GPU/AI infrastructure deals in Q1.
• Higher-than-seasonal normal cash use in Q1 likely due to low starting working capital.
• Plan to continue deleveraging, with recent $200M term loan repayment in February.

Business Commentary:

Revenue and Earnings Growth:

• Ingram Micro reported revenue growth of 11.5% in Q4 and 9.5% for the full year 2025, exceeding guidance expectations.
• The company delivered EPS of $0.96 in Q4 and non-GAAP net income up 8.6% for the full year.
• Growth was driven by strong performance in client and endpoint solutions, significant sales of GPU and AI-related products, and enterprise strength.

Adjusted Free Cash Flow:

• Ingram Micro achieved an adjusted free cash flow of $1.6 billion in Q4, marking the highest quarterly level in over a decade.
• This allowed the company to surpass its goal of generating adjusted free cash flow at a rate of 30% or more of adjusted EBITDA for the year.
• The increase was attributed to operational efficiencies and strong cash conversion.

Geographic and Segment Performance:

• The Asia Pacific region led with 14.6% year-over-year growth in Q4, followed by North America with 9.3% growth.
• Strength in large enterprise customers and GPU/AI infrastructure projects contributed to these geographic results.
• The company saw a fourth consecutive quarter of sequential growth in SMB, indicating improvement in that segment.

XVantage Platform Impact:

• The XVantage platform drove over a half a million proactive engagements, converting over 100,000 opportunities into orders worth billions.
• It improved sales productivity and forecasting accuracy, contributing to a 14% sequential increase in average revenue per customer.
• The platform's capabilities are expected to lead to double-digit percentage of total revenue from IDA by the end of 2026.

AI and Infrastructure Investment:

• Significant sales of GPU and AI infrastructure products impacted Q4 gross margins by more than 15 basis points.
• Despite margin compression, these investments are strategic, aiming to move towards more accessible AI solutions and higher-margin opportunities.
• The company emphasizes the importance of AI infrastructure in long-term growth, supported by partnerships and enablement programs.

Sentiment Analysis:

Overall Tone: Positive

• CEO stated: "I'm pleased with our strong execution and results in the quarter and for the full year." Exceeded high end of guidance for revenue and EPS. Delivered record adjusted free cash flow of $1.6B in Q4. Highlighted strong AI/advanced solutions growth and platform benefits. Confident in navigating market challenges: "we are poised to further leverage the power of our platform."

Q&A:

• Question from Eric Woodring (Morgan Stanley): Unpack drivers of Q1 revenue guidance, including PC refresh, AI/GPU, Asia-Pac, and supply constraints.
  Response: Guidance assumes flat to low single-digit growth in client/endpoint (PC refresh still strong but tougher compare), low-to-mid single-digit growth in advanced solutions (server, storage, cyber), and double-digit cloud growth. No notable GPU deals assumed for Q1. Starting to see ASP increases, but offset by potential demand/timing wild cards and higher upfront cash outflow for vendor buy-ins.

• Question from Eric Woodring (Morgan Stanley): Thoughts on pull forward in Q4 and how to protect from higher prices.
  Response: Did not see notable pull forward in Q4. Mitigation involves strategic buy-ins with OEMs when price increases are known, and working with vendors on alternatives (e.g., shifting from configured to built orders) to manage impact.

• Question from Catherine Murphy (Goldman Sachs): Momentum in AI infrastructure enablement, distributor role, and quantifying the opportunity.
  Response: AI/GPU deals had a 15 bps gross margin impact in Q4. Revenue not specifically called out, but the company is seeing increased partners moving through the AI enablement funnel towards monetization/outcomes, similar to the faster adoption cycle of cloud.

• Question from Catherine Murphy (Goldman Sachs): Cost to serve and EBIT margin profile for AI deals.
  Response: AI deals are low cost to serve (fulfillment basis) and very working capital efficient (not stocked in advance).

• Question from Sameek Chatterjee (JPMorgan): Visibility into second half demand from customers and purchasing behavior.
  Response: Enterprise customers are planning budgets for the remainder of the year, while SMB demand is more fluid. No material pull forward seen yet. Company leverages global reach and scale to monitor market activity.

• Question from Sameek Chatterjee (JPMorgan): If GPU deals come through in Q1, would they have the same trade-off (lower gross margin, accretive to operating level)?
  Response: Yes, that is the expected characteristic if GPU deals are captured in Q1.

• Question from David Page (RBC): Impact of tariffs/geopolitics on Q1 guide and 2026.
  Response: Tariffs are a pass-through; company is not absorbing them. They are monitored as they can spark inflation, impacting more sensitive SMB categories. No material impact seen in large enterprise.

• Question from Rupalu Bhattacharya (Bank of America): Duration of PC refresh cycle and mix/margin outlook for FY26.
  Response: PC refresh estimated in middle to early back half; hundreds of millions of units remain to be replaced, implying cycle could extend into 2026. Mix improvement expected via growth in advanced solutions and cloud faster than market, with client/endpoint growing at market rate.

• Question from Rupalu Bhattacharya (Bank of America): Capital allocation priorities (debt vs buybacks vs M&A) and investment in Xvantage.
  Response: Continued deleveraging (recent $200M repayment, approaching $2B total paydowns). Organic investment in Xvantage; some smaller tuck-in M&A possible; dividend raised 2.5% sequentially; $100M share buyback authorized.

• Question from Adam Tindall (Raymond James): Impact of vendor contract term changes (e.g., Cisco) on channel partners and gross margin.
  Response: Vendors are revising terms (pricing duration, purchase order requirements). Company manages this complexity using global reach and scale, engaging in 'war rooms' with vendors and customers to navigate and find alternatives.

• Question from Adam Tindall (Raymond James): Philosophy on capturing AI growth vs competitors (e.g., build/assembly) and clarification on free cash flow guidance for 2026.
  Response: Focus on monetizing GPU and AI infrastructure via enablement program (services, sales support). For 2026 free cash flow, expect to be well over 30% of adjusted EBITDA combined for 2025/2026, implying cash flow positive for the full year, though Q1 may see higher cash use.

• Question from Maggie Nolan (William Black): Competitive positioning on Xvantage and capabilities hardest to replicate.
  Response: Differentiated by proprietary real-time data mesh architecture, 400+ AI/ML models, agentic workflows (e.g., Sales Brief Agent), 35+ pending patents, and geographic footprint enabling single-pane-of-glass end-to-end transactions.

• Question from Maggie Nolan (William Black): Expectation for gross margin improvement in 2026 (linear vs lumpy).
  Response: Q1 guide implies healthy sequential and YOY improvement. If large AI/GPU deals skew mix, they would be dilutive to margin but accretive to profit dollars. Focus is on growing advanced solutions and cloud faster than market to drive margin over time.

Contradiction Point 1

PC Refresh Cycle Timing

The stage of the PC refresh cycle is described differently between quarters, impacting demand and revenue outlook.

Rupalu Bhattacharya (Bank of America) - Rupalu Bhattacharya (Bank of America)

2025Q4: Still in the middle to early back half of the cycle. Hundreds of millions of units remain to be refreshed; significant demand could extend into 2026. - Paul Bay(CEO) and Mike Zylis(CFO)

How do you view the duration of the PC refresh cycle, the client/endpoint vs. advanced solutions mix in fiscal 2026, and the factors affecting gross margin progression? - Maya Neuman (Morgan Stanley, on for Erik Woodring)

20251031-2025 Q3: The PC refresh is in the ‘later innings’ with good but moderating demand. - Paul Bay(CEO)

Contradiction Point 2

Gross Margin Outlook

Guidance for gross margin trajectory appears inconsistent between quarters, affecting financial forecasts.

Rupalu Bhattacharya (Bank of America) - Rupalu Bhattacharya (Bank of America)

2025Q4: Q1 guidance implies a sequential and year-over-year improvement. The mix shift toward higher-margin advanced solutions and cloud will support margin expansion over time. - Paul Bay(CEO) and Mike Zylis(CFO)

How do you expect the PC refresh cycle duration, the client/endpoint vs. advanced solutions mix in fiscal 2026, and gross margin progression factors to impact the company's outlook? - Ruplu Bhattacharya (Bank of America)

20251031-2025 Q3: Q4 guidance implies gross margins around 6.8% at the midpoint, in line with seasonal norms. - Michael Zilis(CFO) and Paul Bay(CEO)

Contradiction Point 3

Gross Margin Trajectory and AI/GPU Deal Impact

Contradiction on whether gross margin improvement will be steady or lumpy due to AI deals.

Rupalu Bhattacharya (Bank of America) - Rupalu Bhattacharya (Bank of America)

2025Q4: The mix shift toward advanced solutions and cloud will support margin expansion over time, though large AI/GPU deals could introduce lumpiness. - Paul Bay(CEO) and Mike Zylis(CFO)

How do you view the PC refresh cycle duration, the mix of client/endpoint versus advanced solutions in fiscal 2026, and the factors affecting gross margin progression? - Maggie Nolan (William Black)

2025Q4: Gross margin improvement may not be linear due to potential lumpiness from large AI/GPU deals, which are dilutive to margin but accretive to profit. - Mike Zylis(CFO) and Paul Bay(CEO)

Contradiction Point 4

AI Infrastructure Deal Impact

The margin profile of AI/GPU deals is presented as a factor, but not clearly in Q3.

Catherine Murphy (Goldman Sachs) - Catherine Murphy (Goldman Sachs)

2025Q4: AI/GPU-enabled product sets had a ~15 basis point impact on Q4 gross margins. ... AI deals are currently low-cost-to-serve and working capital efficient, but dilute gross margins. - Paul Bay(CEO) and Mike Zylis(CFO)

Can you discuss Ingram's role in addressing enterprise AI needs beyond GPUs and quantify the opportunity's size? - Logan Katzman (Raymond James, on for Adam)

20251031-2025 Q3: No abnormal budget flush activity is being seen. The typical seasonal revenue pop in Q4 is expected. - Michael Zilis(CFO)

Contradiction Point 5

Financial Impact of AI/GPU Infrastructure Deals

Contradiction on whether GPU/AI deals improve operating profit and gross margin dollars.

Sameek Chatterjee (JPMorgan) – Follow-up - Sameek Chatterjee (JPMorgan) – Follow-up

2025Q4: GPU/AI infrastructure deals would have similar characteristics: dilutive to gross margin but accretive to operating profit and gross profit dollars. - Mike Zylis(CFO)

If GPU deals materialize, would the trade-off on gross margin (lower margin %, accretive to operating profit) remain the same as the Q1 guide's assumption of no GPU deals? - Amit Jawaharlaz Daryanani (Evercore ISI Institutional Equities)

2025Q2: Growth in servers, storage, and networking is partly driven by GPUs for AI. These are solutions sold to mid-market and enterprise customers... - Paul Bay(CEO)