SNX · TD SYNNEX Corporation

Technology Distributors · mkt cap $22.5B · calls: Q2 FY2026 vs Q1 FY2026

53.0 conviction · conf-adj 53

conf 4/10 🚀 reported

enthusiasm:27.0 · trend:8 · quantifies:0 · impact:0 · under_radar:0 · credibility:5 · business_impact:4 · disruption:0 · commitment:6 · confirmation:3

Enthusiasm latest 9 / prev 8 (rising)

TD SYNNEX frames AI as a broad demand driver across Hyve hyperscale infrastructure, enterprise data center modernization, networking/storage refresh, AI PCs, and its own partner-facing sales automation. Enthusiasm rose in Q2 because management made AI a central opening theme and explicitly said it is driving both businesses, but hard AI-specific quantification remains limited to Q1 Hyve supply chain growth. The thesis is credible directionally because it is tied to observable hyperscaler ramps, accelerated compute programs, and vendor wins, but management mostly describes mix and demand qualitatively rather than isolating AI revenue or profit.

GROUNDED NEXT-FY IMPACT vs CONSENSUS

Grounded on actual base — revenue $62.5B · net income $0.8B · net margin 1.3% · diluted EPS 9.95

These are next-fiscal-year annual uplift estimates, not next-quarter numbers.

Aggregate next-FY est. rev uplift: % · next-FY EPS uplift: % · vs analysts: unclear · priced in: high · confidence: 4/10

Claim	Figure	Arithmetic	Next-FY Rev %	Next-FY EPS %
Hive supply-chain services gross billings growth from AI infrastructure components revenue · soft	in excess of 100% year over year	AI impact would require prior-year Hive supply-chain-services gross billings and a billings-to-next-FY-revenue conversion rate. Neither base is disclosed in the provided claims, so incremental revenue = >100% * undisclosed base; revenue uplift cannot be computed against $62.508086B revenue. Gross billings are not revenue.

Assumptions: No numeric adopter-side AI claim was provided. Default current net margin would be 1.324084695% for any anchored incremental revenue claim, but it was not applied because the only quantified claim is supplier-side gross billings with no disclosed dollar base or revenue conversion. Bookings/gross billings were not treated as next-FY revenue.

Top line: The only quantified AI claim is supplier-side: Hive supply-chain services gross billings grew >100% YoY from AI infrastructure components, but the gross-billings base is undisclosed and gross billings are not revenue, so no revenue uplift can be calculated versus $62.508086B current revenue. Adopter-side quantified uplift is 0%.

Bottom line: No anchored adopter-side revenue, cost, productivity, or margin claim was provided. Applying the 1.324% current net margin is impossible without an incremental revenue dollar amount, so quantified EPS uplift is 0% for adopter-side claims.

[impact n/m (all claims soft/unanchored)] Consensus trajectory already embeds FY2025 revenue of $62.070167B and EPS of $13.09433. The provided AI math adds 0.0% adopter-side revenue uplift and 0.0% adopter-side EPS uplift because the only quantified item is supplier-side and unbased. Supplier-side impact could be real, but cannot be sized from >100% growth without the Hive gross-billings base and conversion to revenue.

QUANTIFICATIONS

Hive supply chain services gross billings growth tied to AI infrastructure components: in excess of 100% year over year (Q1 FY2026, topline)
“Supply chain services grew in excess of 100% year over year on a gross billings basis, driven by increased demand for components supporting our customers' AI infrastructure deployments.”

PAST (realized)

This quarter, our progress was reinforced by achieving Microsoft Frontier Distributor designation across all of our regions globally, a recognition of excellence in support, security, channel enablement, platform innovation, and technical delivery.
Now turning to Hive. We delivered an impressive quarter, driven by continued demand for cloud- and AI-enabled data center infrastructure across our hyperscale customers.
Supply chain services grew in excess of 100% year over year on a gross billings basis, driven by increased demand for components supporting our customers' AI infrastructure deployments.
This quarter we had the ramp-up of an accelerated compute program at Hyve.
AI drove the compute upgrade first — now storage is next, and then switches.

CURRENT (now)

AI is becoming a growing portion of our mix and is driving demand across both businesses, from hyperscale infrastructure build-outs to enterprise data center modernization, to AI-capable devices in our endpoint mix.
We're applying machine learning, generative, and agentic AI to the data we gather across our ecosystem to personalize each partner's experience through customized dashboards, recommendations, and opportunities, which reduces friction and drives higher conversion, stronger attachment, and faster cycle times.
Our agenting AI systems are now supporting customers and internal teams across complex workflows, from multi-vendor solutions aggregation to intelligent quoting and cross-sell recommendations, helping shorten deal cycles and improve attach rates.
The other aspect is that the weight of AI PCs continues to increase.
Similar to PC, we see an acceleration of the purchase of AI-enabled servers.
End users have now defined their use cases. They are starting to build their AI factories, and that is driving demand in the market, which we are benefiting from.

FORWARD (guidance)

We believe the shift to AI-capable devices is just beginning.
On compute, we see very solid demand driven by ASP increases, the ongoing refresh of general compute servers, acceleration from agentic AI making general compute more critical, and the cost of tokens making on-premise computing an increasingly attractive solution.
Beyond latency and security and privacy, I think the cost of tokens could have a very positive impact on on-premise hardware, both in the data center and at the edge.
Some of the wins will be accelerated compute wins, and we are going to start seeing that in the mix in the coming quarters.
We will have more accelerated compute wins in our portfolio, but I think that going forward, general compute, networking, and storage will represent the majority of our total business.

TRACK RECORD — PROMISE vs DELIVERY

60/100 track record delivers 6 calls reviewed

TD SYNNEX makes few hard revenue-and-date AI targets, but the quantified AI-infrastructure milestones it did set (Hive normalization, hyperscaler program wins) were largely hit or beaten, with the biggest new ramps still too-early; judgeable AI-related track record skews positive though the sample is thin.

Hive (AI/hyperscaler data-center infra) would normalize after a 'few quarters' of soft demand flagged in Q1 FY2025 — promised Q1 FY2025
delivered Hive recovered fast — grew high-teens in Q2, mid-30s in Q3, and >50% in Q4 FY2025; normalization delivered ahead of schedule

Cautious Q3 FY2025 guidance that Hive could be flat-to-down in Q4 FY2025 on tough compares — promised Q3 FY2025
delivered Hive instead grew >50% YoY in Q4 FY2025 — under-promised and beat on AI-infra demand

Sign two new hyperscale customers in FY2026 (AI data-center programs), contributing in future quarters — promised Q1 FY2026
too-early Reported as signed with ramp expected late FY2026/2027; timeframe not yet arrived

Secure at least one program with each of the top five U.S. hyperscalers — promised Q1 FY2026
delivered Stated as achieved — third hyperscaler ramping plus two new wins — milestone met as announced

Launch three AI enablement programs (Agentic AI, Security for AI, AI Factory) 'next week' after Q3 FY2025 — promised Q3 FY2025
partial Followed by 'AI game plan' workshops and embedded predictive/agentic AI in onboarding by Q1 FY2026; shipped but no usage/revenue metric disclosed

PRICED-IN (REFINED)

HIGH (already in)

Est. revisions rising · Fwd P/E 39.4 · EV/Sales 0.3x

AI claim maps to Product, Service

Estimate-revision momentum is rising: buy-side ratings have improved with more strong buys and fewer holds, and price targets have moved up from last year to last quarter to last month. Forward revenue growth is modest but EPS estimates are moving higher, while the stock trades at a rich 39.4x next-FY EPS despite a low distributor-style EV/Sales multiple. AI-related upside would most plausibly flow through Product hardware distribution and associated Service revenue, and rising estimates plus a rich earnings multiple indicate the market is already pricing in much of that upside.

COVERAGE — ENTHUSIASM TRAJECTORY + CATALYSTS

5Q4 FY20246Q1 FY20257Q2 FY20258Q3 FY20258Q4 FY20259Q1 FY2026

AI enthusiasm across 6 calls — trend ↗ rising

AI evolved from ecosystem tailwind to concrete enablement, automation, AI infrastructure, and measurable workflow and hyperscaler growth drivers.

RECENT AI CATALYSTS & NEWS

BUSINESS IMPACT - QUALITATIVE MATERIALITY

5/10 qualitative impact moderate medium-term · soft evidence

Where AI matters: partner sales automation and distribution workflow

TD SYNNEX is using ML/generative/agentic AI for partner dashboards, recommendations, quoting, cross-sell and workflow automation, which can improve conversion, attach rates and cycle times in a scale distribution model. But most quantified AI benefit is actually demand for AI infrastructure it distributes, not proof that AI adoption is materially changing TD SYNNEX's own economics.

Caveats: AI-server mix may carry lower margins; Adopter-side ROI is not quantified; Much of the AI narrative is supplier-side demand rather than internal productivity; Hardware demand could normalize after hyperscaler and enterprise refresh cycles

AI DISRUPTION / CANNIBALIZATION RISK tailwind · 2/10

AI does not directly automate away the core distributor role of vendor aggregation, logistics, credit, inventory, channel enablement and supply-chain execution. Procurement automation may pressure some sales/intermediation tasks, but the model is more likely to use AI to reduce friction than to be structurally cannibalized.

OPTIONS / MARKET STRUCTURE

option liquidity: fair

ATM IV

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TYPICAL BID-ASK

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OPEN INTEREST

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proxy inputs — dollar-ADV $243M · beta 1.42864 · px $271.25

source: proxy (no options chain on FMP)
FMP /stable/ exposes no options-chain endpoint on this key, so ATM IV, bid-ask spread and open interest are unavailable. Liquidity below is a PROXY from dollar-ADV, beta and price level (a stand-in for option depth), not measured option-market data.

CONFIRMATION — INSIDERS · 13F · LANGUAGE

Mixed — insiders selling, institutions adding, management language 7/10 committed.

INSIDERS selling 56 open-market sell(s) vs 0 buy(s) — net distribution

INSTITUTIONS (13F) adding as of 2026-03-31: 127 new / 65 closed positions; 366 increased / 151 reduced; institutional ownership +3.75pp; +62 net 13F holders

MGMT LANGUAGE 7/10 committed AI language is mostly firm and operational, with concrete deployment claims, but future Hive strategy remains somewhat qualified.

commit “By embedding predictive AI directly into our onboarding and go-to-market motions, we are meaningfully increasing the number of customers onboarding new vendor portfolios each quarter”

commit “Our agenting AI systems are now supporting customers and internal teams across complex workflows”

commit “driven by increased demand for components supporting our customers' AI infrastructure deployments”

VERBATIM AI QUOTES

“Rising component costs, supply constraints, geopolitical uncertainty, and a once-in-a-generation AI build-out are challenging businesses to move faster and with more precision.”
— Patrick Zammit, Q2 FY2026

“AI is becoming a growing portion of our mix and is driving demand across both businesses, from hyperscale infrastructure build-outs to enterprise data center modernization, to AI-capable devices in our endpoint mix.”
— Patrick Zammit, Q2 FY2026

“We're applying machine learning, generative, and agentic AI to the data we gather across our ecosystem to personalize each partner's experience through customized dashboards, recommendations, and opportunities, which reduces friction and drives higher conversion, stronger attachment, and faster cycle times.”
— Patrick Zammit, Q2 FY2026

“These are the reasons why earlier this quarter, HP selected TD SYNNEX as one of just two global distribution partners across its full networking, cloud, and AI portfolio, including the assets from the Juniper acquisition.”
— Patrick Zammit, Q2 FY2026

“We believe the shift to AI-capable devices is just beginning.”
— Patrick Zammit, Q2 FY2026

“AI servers tend to have a slightly lower margin profile.”
— David Jordan, Q2 FY2026

“Networking was tough for the last two years but is back — the refresh driven by Wi-Fi 7 and investments related to AI are driving it.”
— Patrick Zammit, Q2 FY2026

“AI drove the compute upgrade first — now storage is next, and then switches.”
— Patrick Zammit, Q2 FY2026

“On compute, we see very solid demand driven by ASP increases, the ongoing refresh of general compute servers, acceleration from agentic AI making general compute more critical, and the cost of tokens making on-premise computing an increasingly attractive solution.”
— Patrick Zammit, Q2 FY2026

“On hardware, I actually think AI is making it a very interesting category again.”
— Patrick Zammit, Q2 FY2026

“Beyond latency and security and privacy, I think the cost of tokens could have a very positive impact on on-premise hardware, both in the data center and at the edge.”
— Patrick Zammit, Q2 FY2026

“By embedding predictive AI directly into our onboarding and go-to-market motions, we are meaningfully increasing the number of customers onboarding new vendor portfolios each quarter, helping vendors expand their reach within our ecosystem and accelerating profit-generating activity across the ecosystem.”
— Patrick Zammit, Q1 FY2026

“Our agenting AI systems are now supporting customers and internal teams across complex workflows, from multi-vendor solutions aggregation to intelligent quoting and cross-sell recommendations, helping shorten deal cycles and improve attach rates.”
— Patrick Zammit, Q1 FY2026

“This designation highlights our ability to bring technologies to market in a consistent, scalable way across regions and digital platforms, marketplaces, and high-touch engagement models, and to do so consistently as customers move from AI experimentation to deployment.”
— Patrick Zammit, Q1 FY2026

“Now turning to Hive. We delivered an impressive quarter, driven by continued demand for cloud- and AI-enabled data center infrastructure across our hyperscale customers.”
— Patrick Zammit, Q1 FY2026

“Supply chain services grew in excess of 100% year over year on a gross billings basis, driven by increased demand for components supporting our customers' AI infrastructure deployments.”
— David Jordan, Q1 FY2026

“The other aspect is that the weight of AI PCs continues to increase.”
— Patrick Zammit, Q1 FY2026

“Similar to PC, we see an acceleration of the purchase of AI-enabled servers.”
— Patrick Zammit, Q1 FY2026

“End users have now defined their use cases. They are starting to build their AI factories, and that is driving demand in the market, which we are benefiting from.”
— Patrick Zammit, Q1 FY2026

ANALYST QUESTIONS ON AI

Q (Q2 FY2026, Erik Woodring): Can you help us understand three things: the sustainability of hardware spending through the second half and into next year; which products are showing greater price inelasticity; and are there any products or segments where you don't believe you can fully pass through higher device costs and might see margin pressure?
A: Networking was tough for the last two years but is back — the refresh driven by Wi-Fi 7 and investments related to AI are driving it. On data centers, storage had a very strong quarter and I think it's going to last. AI drove the compute upgrade first — now storage is next, and then switches. On compute, we see very solid demand driven by ASP increases, the ongoing refresh of general compute servers, acceleration from agentic AI making general compute more critical, and the cost of tokens making on-premise computing an increasingly attractive solution.

Q (Q2 FY2026, David Paige): Can you provide color on the mix of traditional versus accelerated compute at Hyve?
A: This quarter we had the ramp-up of an accelerated compute program at Hyve. Generally speaking, when I look at our mix of programs going forward, we believe we are going to see more of networking, general compute, and storage. We want to continue to maintain and develop our expertise in accelerated compute, but the profile of the wins we are having suggests we'll see more of the other programs than accelerated compute going forward.

Q (Q2 FY2026, Vincent Colicchio): If hardware demand moderates, would you expect software, cloud, and recurring revenue streams to offset some of that pressure?
A: On hardware, I actually think AI is making it a very interesting category again. The cost of tokens is going to have an impact on behaviors. Beyond latency and security and privacy, I think the cost of tokens could have a very positive impact on on-premise hardware, both in the data center and at the edge.

Q (Q1 FY2026, Keith Housum): As we think about the quarter and looking forward, investors are struggling with trying to understand the magnitude of price increases and the impact of demand destruction. David, as you look at the second-quarter guidance, how much does that grow in terms of what you think the impact is from the increased prices? The second part of the question is, at what point do you think we start seeing demand destruction?
A: The other aspect is that the weight of AI PCs continues to increase. One of the drivers is that you will have more and more AI applications running at the edge. Having an AI PC is going to become more important in companies. For general compute—general servers—there is a refresh cycle going through at the moment, so it should continue to be a tailwind. Similar to PC, we see an acceleration of the purchase of AI-enabled servers. End users have now defined their use cases. They are starting to build their AI factories, and that is driving demand in the market, which we are benefiting from.

Q (Q1 FY2026, David Vogt): Historically, Hive has been a more traditional compute and networking-centric business in terms of billings and revenue. Can you share with us how that is evolving as you onboard incremental hyperscaler customers? You talked about having at least one program at the top five. How is that mix changing going forward to a more accelerated compute and networking mix?
A: Historically, Hive demand is driven by general compute and networking. Some of the wins will be accelerated compute wins, and we are going to start seeing that in the mix in the coming quarters. Zooming out, when you look at the Hive strategy for many quarters now—and we are starting to see the benefits—we had two objectives: diversify the customer base and go after the four main technologies we can serve, namely general compute, accelerated compute, networking, and storage.

Q (Q1 FY2026, Ruplu Bhattacharya): When I look at operating margin, it was 7.4% this quarter on a revenue basis. You said 4.2% on a billings basis. When we think about the AI server space and rack-building space, the industry itself is getting squeezed in terms of margins. Should we think that operating margin can take a dip initially as you ramp these new Hive programs, and what are you doing to offset some of that margin pressure?
A: You mentioned accelerated compute. While we do have some accelerated compute programs, it is not the majority of our portfolio. Some of the margin pressure that you may have seen from others will not play out to the same degree in Hive just given the overall mix in the programs that we have.

Q (Q1 FY2026, Ananda Baruah): Longer term, you are getting more into GPU-based. Is it as simple as saying over time, the mix begins to shift to include more of that, or would you also see more storage and networking as well given the resource requirements of AI builds?
A: Back to Hive, what is important is that our customers are looking for support across all four technologies: general compute, accelerated compute, storage, and networking. That is why it is important for us to have the capabilities and expertise to respond to their needs and requirements. We will have more accelerated compute wins in our portfolio, but I think that going forward, general compute, networking, and storage will represent the majority of our total business.