Hedge Fund Semis / Hardware Modeling

When it comes to modeling semiconductors, memory, and hardware companies at hedge funds, particularly in pod structures, here’s what you need to know based on the most helpful WSO content:

Revenue Build-Up Approaches:

1. PxQ Forecast:

   • This is a common approach where revenue is modeled as the product of price (P) and quantity (Q). For semis, this could involve Average Selling Price (ASP) trends and unit shipment forecasts.
   • ASP trends are particularly important in semis, as they often show an upward slope due to increasing content and complexity in devices.

2. Backlog to Revenue Bridge:

   • For companies that disclose backlog data, this can be a useful way to project revenue. You analyze the backlog conversion rate and timing to estimate future revenue.

3. Market Share Analysis:

   • For companies with significant market share, revenue can be modeled as a share of the overall market size. This requires understanding the Total Addressable Market (TAM) and the company’s competitive positioning.

4. Growth Rate Assumptions:

   • In cases where unit economics or detailed disclosures are unavailable, revenue can be driven by applying a growth rate assumption. This is often tied to industry growth rates or GDP growth, as semis are generally pegged to global GDP growth.

Below Revenue and Other Dynamics:

1. Seasonality:

   • Seasonality is a critical factor in semis and hardware. For example, product launches (e.g., Apple iPhone or Samsung Galaxy) can create significant revenue volatility. Understanding the timing of these ramps is key.

2. Gross Margins:

   • Gross margins in the semiconductor industry typically range from 45-50%. Key drivers include wafer costs, depreciation (on a GAAP basis), and cost efficiencies. Foreign exchange can also impact margins if costs are incurred overseas.

3. CapEx and FCF:

   • CapEx cycles are crucial for semis, especially for companies operating their own fabs (e.g., Intel, Texas Instruments, Samsung). The cost of new fabs can range from $2-$10 billion, with depreciation recognized over 10 years. This impacts Free Cash Flow (FCF) significantly.

4. Input Costs and Supply Chain:

   • Input costs can be analyzed through satellite imagery of raw material mining, refinery activity, and transportation bottlenecks. This helps in understanding cost pressures and supply chain dynamics.

5. Employment and Orders:

   • Scraping job postings or conducting surveys with HR specialists can provide insights into whether employment is ramping up faster or slower than expected. Similarly, tracking new orders from major buyers like Apple or Samsung can be a leading indicator of revenue trends.

Key Takeaway:

Hedge funds develop an edge by piecing together a "mosaic view" of the company, leveraging multiple data points like ASP trends, backlog conversion, market share, and supply chain insights. Seasonality, gross margins, and CapEx cycles are also critical to understanding the dynamics below the revenue line.

Sources: An Overview of Technology Media and Telecom (TMT) - Part 1 of 2, What does a model look like at a L/S hedge fund? What is the diligence process like?, DCF Myth 3.2: If you don't look, its not there!, An Overview of Technology Media and Telecom (TMT) - Part 1 of 2