Supermicro Financial Model
Hardware Company Financials Example (Free Excel Download)
Super Micro Computer, Inc. (Supermicro) designs, develops, and manufactures high-performance server and storage solutions based on modular and open architecture.
professionals from Deloitte
Used by professionals from
About this model
This model evaluates the equity valuation and cash flow sustainability of Supermicro, focusing on the critical trade-off between hyper-growth in AI server volumes and severe gross margin compression to determine if the company can profitably scale its direct liquid cooling solutions.
Super Micro Computer, Inc. (Supermicro) designs, develops, and manufactures high-performance server and storage solutions based on modular and open architecture. The company has become a central player in the artificial intelligence infrastructure build-out, providing rack-scale solutions and direct liquid cooling (DLC) systems optimized for NVIDIA and AMD GPUs.
Business segments include:
- Server and Storage Systems (approximately 92-95% of revenue)
- Subsystems and Accessories (approximately 5-8% of revenue)
Key geographies are highly concentrated, with the United States accounting for 60-84% of recent quarterly revenues, Asia contributing roughly 30%, and Europe generating the remainder. The business model is asset-heavy manufacturing and assembly, currently transitioning from selling standalone servers to full Data Center Building Block Solutions (DCBBS). Supermicro holds a first-mover advantage in liquid-cooled AI racks but faces intense competition from Dell Technologies, Hewlett Packard Enterprise, and hyperscalers designing hardware in-house. Recent major events include a 10-for-1 forward stock split effective October 2024, a delayed FY2024 10-K filing involving internal control remediation, and a massive revenue scale-up reaching $22.0 billion in FY2025 and an annualized run-rate exceeding $40 billion by Q2 FY2026.
The downloadable Supermicro financial model includes SEC-sourced historical financials, forecast assumptions, core operating schedules, and valuation outputs in an Excel workbook built for review and scenario analysis.
A turnkey financial model
Live formulas, no hardcoded values
Outputs are driven by live formulas, so the workbook updates from its assumptions instead of relying on hardcoded results.
All assumptions in one tab
Inputs are clearly marked in the Assumptions tab and separated from calculations, making it clear what to change and what to leave intact.
Statements always balancing
For integrated-statement models, the balance sheet, cash flow, and supporting schedules tie through properly.
Distinct schedules for clarity
Debt, working capital, taxes, and cash flow can get messy quickly. We group calculations in clear schedules, not across disconnected tabs.
No hidden macros or external links
There are no unexplained external workbook links or macros to undermine auditability or portability.
Changes flow through the model
Update a key driver and see the impact carry through the forecast, financing, and return outputs. We never use hardcoded numbers in formulas.
Historicals & AssumptionsSupermicro financial modelCompany, Historicals & Assumptions used
Source: SEC EDGAR · values in USD
| Line item | FY2022 | FY2023 | FY2024 | FY2025 | FY2026 |
|---|---|---|---|---|---|
| Revenue | $5.20B | $7.12B | $14.99B | $21.97B | $39.06B |
| Gross profit | $800.0M | $1.28B | $2.06B | $2.43B | $4.23B |
| Operating income | $335.2M | $761.1M | $1.21B | $1.25B | $2.77B |
| Net income | $285.2M | $640.0M | $1.15B | $1.05B | $2.23B |
Forecast assumptions
Defaults used in the downloadable model. Forecast horizon: FY2026–FY2030.
See 8 moreSee less
How to build a detailed financial model for Supermicro
A complete walkthrough of every driver, margin, working-capital input, and capital-allocation assumption used in the downloadable model.
Revenue Deep Dive
Server and Storage Systems
- Revenue driver formula: Number of AI/Compute Racks Sold x Blended Average Selling Price (ASP) per Rack.
- Historical growth rate: 110% in FY2024, 47% in FY2025, and over 120% year-over-year in the first half of FY2026.
- Key growth levers and headwinds: Growth is entirely dependent on hyperscaler and enterprise AI capital expenditure, specifically the allocation and deployment of next-generation GPUs (NVIDIA Blackwell/Hopper). Headwinds include component supply constraints, intense pricing competition, and the risk of hyperscalers shifting to in-house original design manufacturer (ODM) direct models.
- Pricing dynamics: Highly competitive and spot-driven. Supermicro has aggressively discounted hardware to win market share and secure large AI cluster deployments, sacrificing near-term pricing power.
- Revenue recognition notes: Recognised upon transfer of control (typically shipment or delivery). Complex rack-scale deployments may have delayed recognition until installation and testing are complete.
- Seasonality: Revenue is lumpy and driven by customer data centre build schedules and GPU silicon availability rather than traditional seasonal cycles.
Subsystems and Accessories
- Revenue driver formula: Volume of components (motherboards, power supplies, chassis) x Unit Price.
- Historical growth rate: 5-10% CAGR, significantly lagging the systems business.
- Key growth levers and headwinds: Driven by legacy enterprise refresh cycles and channel sales. Headwinds include the industry shift away from DIY server assembly towards integrated rack solutions.
- Pricing dynamics: Commoditised pricing with standard hardware margins.
- Revenue recognition notes: Point in time upon shipment.
- Seasonality: Generally stable with slight weakness in the summer months.
Cost Structure
Variable Costs / COGS
- Line-by-line breakdown: Silicon components (GPUs, CPUs, memory, storage drives), direct liquid cooling plumbing and pumps, sheet metal chassis, manufacturing direct labour, inbound freight, expedite shipping costs, and inventory write-downs.
- Gross margin range: 15.0-17.0% historically, compressing to 11.1% in FY2025, and collapsing to 6.3% in Q2 FY2026.
- Key input costs and commodity exposures: NVIDIA GPUs represent the vast majority of the bill of materials. The company is also exposed to memory pricing (HBM/DRAM) and copper/aluminium for cooling plates.
- How COGS scales with revenue: COGS has recently scaled faster than revenue due to aggressive pricing, high upfront costs for ramping DLC production, and expensive expedite fees to meet hyperscaler deployment timelines.
Operating Expenses
- R&D: Typically 2-3% of revenue. It covers thermal engineering, motherboard design, and liquid cooling innovation. Costs are largely headcount-driven and expensed as incurred.
- SG&A: Typically 1-2% of revenue. Highly leveraged due to the massive top-line expansion. Includes sales commissions, marketing, and corporate overhead.
- Depreciation & Amortisation: Less than 0.5% of revenue, primarily related to manufacturing equipment and facility leasehold improvements.
- Stock-Based Compensation: Approximately 1.0-1.5% of revenue.
- Restructuring / one-time charges: Recent quarters include legal and accounting remediation costs related to the delayed 10-K filing and internal control overhauls.
Margin Profile
- Gross margin: 6.3% to 17.0% (5-year range).
- Operating margin: 3.7% to 11.0% (5-year range).
- Net margin: 3.1% to 9.0% (5-year range).
- Margin trend: Severely compressing. The company is trading margin for market share in the AI server space. Management expects margins to recover as the higher-margin DCBBS segment (which carries gross margins above 20%) scales to a double-digit percentage of total profits by late 2026.
Balance Sheet Structure
- Total assets: Approximately $15-18 billion, heavily skewed towards current assets.
- Key asset categories: Inventory is the largest and most critical asset, required to secure GPU allocations and build rack-scale solutions before shipment. Accounts Receivable is also massive due to the sheer size of hyperscaler invoices.
- Goodwill & intangibles: Negligible (organic growth model).
- Working capital profile:
- DSO: 40-55 days.
- DIO: 80-110 days (highly elevated due to AI component stockpiling).
- DPO: 50-70 days.
- Net working capital as % of revenue: 15-25%.
- Working capital dynamic: Highly consumptive. The company must fund billions in inventory purchases before collecting cash from customers, resulting in negative operating cash flow during hyper-growth phases.
- PP&E: Manufacturing facilities in San Jose, Taiwan, and Malaysia. Useful lives are typically 5-7 years for machinery.
- Right-of-use assets: Material but manageable, representing leased warehouse and assembly space globally.
Capital Expenditure & Investment
- Capex as % of revenue: 0.5% to 1.5% (very asset-light relative to revenue scale).
- Maintenance vs. growth split: 20% maintenance, 80% growth.
- Major capex programmes: Expanding DLC manufacturing capacity in California and building out lower-cost mega-factories in Malaysia to support economies of scale. FY2026 capex is guided at $180-200 million.
- Capitalised software: Immaterial.
- M&A pattern: Strictly organic grower. Supermicro rarely acquires other businesses.
Debt & Capital Structure
- Total debt: Approximately $4.9 billion as of December 2025.
- Debt/EBITDA ratio: 1.5x to 2.5x (fluctuates heavily with working capital drawdowns).
- Credit rating: Not traditionally rated by major agencies for investment grade; relies on convertible notes and syndicated bank facilities.
- Key debt instruments: $1.5 billion+ in convertible senior notes, supplemented by large revolving credit facilities and term loans to fund inventory.
- Maturity profile: Convertible notes mature in 2029, with bank facilities requiring rolling renewals.
- Interest rate profile: Bank debt is floating rate (SOFR + spread), while convertible notes carry low fixed coupons.
- Covenants: Standard fixed charge coverage and leverage ratios on the bank facilities.
- Share repurchase programme: Suspended or immaterial; capital is entirely deployed into working capital.
- Dividend policy: No dividend.
Cash Flow Characteristics
- Operating cash flow conversion: Often negative or below 0.5x during growth phases due to massive inventory builds.
- Free cash flow margin: -5.0% to +3.0%. Highly volatile.
- Major non-cash items: Stock-based compensation and inventory obsolescence provisions.
- Working capital cash flow impact: The primary use of cash. Securing NVIDIA GPUs requires significant upfront capital, making working capital a massive drag on cash flow.
- Capex intensity: Very low. The business is constrained by working capital, not capital expenditures.
- Cash tax rate vs. GAAP effective tax rate: Cash taxes are generally lower due to R&D tax credits and the tax deductibility of stock-based compensation exercises.
Sheet Structure
- Assumptions: Hardcoded drivers for macroeconomic inputs, segment growth, pricing, and margin recovery timelines.
- Revenue Build: Calculates Server and Storage Systems revenue (driven by AI rack volumes and ASPs) and Subsystems revenue.
- Income Statement: Consolidated P&L mirroring the 10-K, separating COGS, R&D, and SG&A.
- Working Capital: Detailed schedules for Accounts Receivable, Inventory (critical), and Accounts Payable.
- Balance Sheet: Standard balancing sheet with a cash sweep mechanism.
- Cash Flow Statement: Indirect method, heavily linking to the Working Capital sheet.
- Debt Schedule: Tracks revolver drawdowns needed to fund inventory, term loans, and convertible notes. Includes a circularity toggle for interest expense.
- DCF Valuation: Unlevered free cash flow build, WACC calculation, and terminal value based on an exit multiple.
Key Financial Relationships
- `Total Server Revenue = AI GPU Racks Sold * Blended ASP per Rack + Legacy Enterprise Servers Sold * Legacy ASP`
- `Subsystems Revenue = Prior Year Subsystems Revenue * (1 + Subsystems Growth Rate)`
- `Consolidated Revenue = Total Server Revenue + Subsystems Revenue`
- `DCBBS Gross Profit = DCBBS Revenue * DCBBS Margin Assumption (Targeting >20%)`
- `Standard Server Gross Profit = Standard Server Revenue * Standard Margin Assumption (Targeting 5-7%)`
- `Total COGS = Consolidated Revenue - (DCBBS Gross Profit + Standard Server Gross Profit)`
- `Inventory Balance = (Total COGS / 365) * Days Inventory Outstanding (DIO)`
- `Accounts Receivable = (Consolidated Revenue / 365) * Days Sales Outstanding (DSO)`
- `Accounts Payable = (Total COGS / 365) * Days Payable Outstanding (DPO)`
- `Revolver Drawdown = IF(Cash Available Before Debt < Minimum Cash Balance, Minimum Cash Balance - Cash Available Before Debt, 0)`
- `Interest Expense = (Average Revolver Balance * Floating Rate) + (Convertible Notes Balance * Fixed Coupon)`
- `Diluted Share Count = Base Shares (Post-Split) + (Convertible Note Dilution based on Treasury Stock Method)`
Cross-Sheet Dependencies
The Revenue Build feeds the top line of the Income Statement and drives the activity levels in the Working Capital sheet. The Working Capital sheet calculates the change in net working capital, which is the largest variable in the Cash Flow Statement. The operating cash flow dictates the funding deficit, which triggers a draw on the Debt Schedule. The Debt Schedule calculates interest expense, which flows back to the Income Statement and impacts net income, creating a circular reference that must be managed with a circularity breaker switch.
Sign Convention
- Revenues and positive margins are entered as positive numbers.
- Operating expenses (COGS, R&D, SG&A) and Interest Expense are entered as negative numbers in the P&L build.
- Assets are positive, Liabilities and Equity are positive on the Balance Sheet.
- On the Cash Flow Statement, cash inflows are positive, and cash outflows (e.g., increases in inventory, capex) are negative.
Things Most Likely to Go Wrong
- Ignoring the 10-for-1 stock split: The model must use the post-split share count (approximately 631 million to 644 million shares) to calculate accurate per-share metrics.
- Underestimating working capital drag: Supermicro cannot grow revenue by 50% without a corresponding massive cash outflow for inventory. Failing to link inventory growth to COGS will artificially inflate free cash flow.
- Linear margin assumptions: Gross margins have collapsed from 17% to 6.3%. Assuming a rapid return to 15% without modelling the specific mix shift to DCBBS will overstate profitability.
- Misunderstanding the convertible debt: The $1.5 billion+ in convertible notes will cause share dilution if the stock price recovers. The model must include a treasury stock method calculation for these notes.
- Ignoring expedite costs: COGS includes heavy air-freight and expedite fees. If revenue growth spikes, COGS must spike disproportionately to reflect these supply chain pressures.
- Static tax rate: The GAAP tax rate fluctuates wildly (between 9% and 20%) based on stock-based compensation windfalls. The model should use the management-guided normalized rate.
- Delinquent filing impacts: The company has faced SEC compliance issues. The model should include a line item for elevated SG&A/legal costs related to internal control remediation.
- Capacity constraints: Revenue cannot exceed the physical manufacturing capacity of the San Jose, Taiwan, and Malaysia facilities.
Validation Checks
- "Gross margin must remain between 6.0% and 15.0%; flag if the model projects margins outside this historical reality."
- "Operating Cash Flow must be negative in any quarter where sequential revenue growth exceeds 15% due to inventory funding requirements."
- "Days Inventory Outstanding (DIO) should not fall below 75 days; the company requires massive buffer stock for GPU allocations."
- "Total Debt must increase if Free Cash Flow is negative and cash balances fall below $1.0 billion."
- "Balance sheet must balance: Total Assets = Total Liabilities + Equity in every period."
- "Effective tax rate should be checked against management guidance of 19.6% for FY2026."
- "Diluted share count must be greater than 631 million to reflect the October 2024 stock split."
Key Assumptions (Default Values)
| Assumption | Default Value | Unit | Rationale |
|---|---|---|---|
| FY2026 Revenue Growth | 80.0 | % | Based on Q2 FY26 run-rate and management guidance of >$12.3B for Q3. |
| Long-Term Revenue Growth | 15.0 | % | Normalisation of AI infrastructure build-out post-2027. |
| Server & Storage % of Rev | 95.0 | % | Historical mix heavily skewed to AI systems. |
| Gross Margin (FY26) | 7.5 | % | Blended rate based on Q1 (9.3%) and Q2 (6.3%) actuals. |
| Gross Margin (Terminal) | 12.0 | % | Assumes partial success in scaling high-margin DCBBS products. |
| R&D as % of Revenue | 2.0 | % | Economies of scale on massive revenue base. |
| SG&A as % of Revenue | 1.5 | % | Highly leveraged operating expense base. |
| Days Sales Outstanding (DSO) | 45 | Days | Historical average for hyperscaler and enterprise collections. |
| Days Inventory Out. (DIO) | 90 | Days | Elevated requirement to secure NVIDIA GPU supply. |
| Days Payable Out. (DPO) | 60 | Days | Standard vendor payment terms. |
| Capex as % of Revenue | 0.5 | % | Asset-light assembly model; based on $180-200M FY26 guidance. |
| Effective Tax Rate | 19.6 | % | Management guidance for FY2026 GAAP tax rate. |
| Diluted Share Count | 644 | Millions | Post 10-for-1 split non-GAAP share count guidance. |
| Cost of Debt | 6.5 | % | Blended rate of floating bank debt and fixed convertibles. |
| WACC | 11.5 | % | High beta and governance risk premium applied to discount rate. |
| Terminal Growth Rate | 3.0 | % | Long-term hardware replacement cycle growth. |
Data Sources & Benchmarks
- Filings: SEC EDGAR (Form 10-K, 10-Q, 8-K) and Supermicro Investor Relations website.
- Peers for benchmarking: Dell Technologies (DELL), Hewlett Packard Enterprise (HPE), Cisco Systems (CSCO), and Lenovo Group.
- Industry data: Gartner and IDC server market share reports; NVIDIA data centre revenue disclosures (as a leading indicator for SMCI GPU supply).
- Consensus estimates: Seeking Alpha, Zacks Investment Research, and Investing.com for forward revenue and EPS estimates.
Sources
- Supermicro Investor Relations (Q4 FY2024, Q4 FY2025, and Q2 FY2026 Earnings Releases): https://ir.supermicro.com
- Seeking Alpha Analysis on SMCI Margins and DCBBS Strategy: https://seekingalpha.com
- Zacks Investment Research on SMCI Liquid Cooling and Margin Targets: https://www.zacks.com
- Investing.com Earnings Transcripts and Financial Highlights: https://www.investing.com
- Stock Titan Financial Summaries for SMCI: https://www.stocktitan.net
Do more with the Supermicro model
Frequently asked
What does Supermicro (SMCI) do?+
Super Micro Computer, Inc. designs, develops, and manufactures high-performance server and storage solutions, specializing in rack-scale and direct liquid cooling systems optimized for AI infrastructure. Its business is primarily focused on Server and Storage Systems, which constitute 92-95% of its revenue.
What are the primary revenue drivers for Supermicro?+
Supermicro's revenue is primarily driven by the hyper-growth in AI server volumes and the increasing demand for its direct liquid cooling solutions. The company is transitioning from selling standalone servers to full Data Center Building Block Solutions, further contributing to its revenue expansion.
What are some key financial assumptions in the Supermicro model?+
Key financial assumptions include a Revenue Growth rate of approximately 19.4% and COGS as a percentage of revenue at around 84.3%. Research and Development (R&D) is assumed to be about 5.5% of revenue, while capital expenditure (Capex) is very asset-light, at roughly 1.0% of revenue.
What is the main purpose of the Supermicro financial model?+
The Supermicro financial model evaluates the company's equity valuation and cash flow sustainability. It specifically focuses on the critical trade-off between hyper-growth in AI server volumes and potential gross margin compression to determine if the company can profitably scale its direct liquid cooling solutions.
Can I download an Excel financial model for Supermicro (SMCI)?+
Yes, a downloadable Excel financial model is available for Supermicro (SMCI). This model provides a forecast horizon from FY2026 to FY2030, allowing users to analyze the company's future financial performance.
How does Supermicro's working capital impact its cash flow?+
Supermicro has a highly consumptive working capital profile, requiring significant funding for inventory purchases, especially for AI components, before collecting cash from customers. This dynamic can result in negative operating cash flow during periods of hyper-growth.
Have more financial modelling questions? Contact us
Created by ex-finance professionals
Hey, I’m Alex and I created Finamodel.
Over my years in the finance industry I kept building the same models over and over again. Same structure, same assumptions, different logo. So I started building frameworks to turn them into clean, reusable templates.
Every model here is one I’d actually use for a client, and I personally vet each one before it goes up.
I’m not an expert in every industry, but I’ve built enough models to know what belongs in one. And when something is completely foreign to me, I reach out to my network for experts to work on our models with us.
Having a template library on hand cuts a first build from hours to minutes.
Need help finding your model? You’ll find me in the Finamodel app!
Other Hardware Company Financial Models
Browse another company in the same sector.
Apple
Apple designs, manufactures, and markets smartphones, personal computers, tablets, and wearables, alongside a growing suite of subscription and transaction-based services.
Arista Networks
Arista Networks provides cloud networking solutions, data centre switches, and routing platforms powered by its proprietary Extensible Operating System (EOS) software.
Ciena
Ciena Corporation is a global leader in networking systems, components, automation software, and services, primarily focused on optical transport and routing/switching solutions.
Cisco
Cisco is a global leader in networking, cybersecurity, collaboration, and observability solutions that power enterprise IT infrastructure, designing and selling technologies increasingly embedded with artificial intelligence.
Dell Technologies
Dell Technologies is a premier provider of IT hardware, software, and service solutions globally.
Garmin
Garmin designs, develops, manufactures, and markets a diverse portfolio of hand-held, wearable, portable, and fixed-mount GPS-enabled products for fitness, outdoor, marine, aviation, and automotive markets.
Hewlett Packard Enterprise
Hewlett Packard Enterprise is a global edge-to-cloud company that provides hardware, software, and financial services to enterprise customers.
HP
HP is a global provider of personal computing and other access devices, imaging and printing products, and related technologies, operating through Personal Systems and Printing segments.
Explore more Tech & Software financial model templates.
