PCB Procurement Guide

Should-Cost Analysis for Electronics:
Decoding Supplier Pricing

When a supplier's quote is 30% above your budget — or 30% below the next-lowest bid — the instinct is to negotiate. But negotiation without a structured cost model is guesswork. Should-Cost analysis replaces guesswork with a logical, defensible estimate of what a product should cost to manufacture, giving procurement teams the foundation for fact-based price discussions and design cost-reduction decisions.

BOM · Labour · Overhead · Margin 9 min read Negotiation + Design Cost-Down

This guide covers: the seven cost elements that comprise a Should-Cost model for electronics (POINT 01); the typical cost structures for PCBA, bare PCB, and finished electronic products — with indicative percentage breakdowns (POINT 02); the seven-step methodology for building and validating a model (POINT 03); labour rate benchmarks by manufacturing region (POINT 04); how to use Should-Cost results in price negotiation and design cost-reduction programmes (POINT 05); and the limitations and risks that prevent this tool from being misused (POINT 06).

POINT 01

The Seven Cost Elements of a Should-Cost Model

A Should-Cost model builds up an estimate of a product's manufacturing cost from first principles — starting with the materials, moving through the production processes, and adding overhead and margin. The seven elements below are the standard building blocks for an electronics Should-Cost model. The accuracy of the final estimate depends on how carefully each element is sourced and how well the manufacturing process is understood.

ELEMENT 01 — LARGEST

Direct Materials (BOM Cost)

The sum of every component, substrate, and consumable material in the product, priced at the applicable purchase volume. For electronic assemblies, this is typically the dominant cost element — 50–70% of total PCBA cost. Component prices are sourced from authorised distributor websites (Digi-Key, Mouser, Arrow) or directly from manufacturers.

Price at your actual purchase volume — the 1-piece price overstates cost significantly for volume production.

ELEMENT 02

Direct Labour

The cost of production workers whose time is directly attributable to manufacturing the product. Calculated as: cycle time per unit × direct labour rate per hour. Labour rate varies significantly by country and region — see POINT 04. For SMT assembly, cycle time is dominated by the placement and soldering process; manual assembly (through-hole, hand soldering, final assembly) adds more labour-variable time.

Include social insurance and benefits in the loaded labour rate — base wage alone understates the actual cost by 30–50%.

Manufacturing Overhead

ELEMENT 03

Indirect factory costs — facility rent, utilities, quality management, production management, maintenance, IT infrastructure — allocated to products. Typically expressed as a multiple of direct labour cost: 2–5× for electronics assembly factories. A factory with high automation (lower direct labour) may have a higher overhead-to-labour ratio than one with more manual assembly.

Overhead multiple varies widely between factories and must be estimated from industry benchmarks or factory disclosure.

ELEMENT 04

Equipment Usage Cost

The cost of specialised manufacturing equipment allocated to the product based on usage time. Calculated from: equipment purchase price ÷ (depreciation period × utilisation rate × annual operating hours). For SMT assembly, the pick-and-place machine and reflow oven are the primary equipment cost drivers. High-speed SMT equipment has a lower per-placement cost at high throughput than lower-speed machines.

Equipment utilisation rate is critical — a machine running at 50% utilisation has twice the per-unit cost of the same machine at full utilisation.

ELEMENT 05

NRE — Non-Recurring Engineering

One-time setup costs: tooling (PCB panelisation fixtures, test fixtures, stencils), first-article qualification, engineering change evaluation, and initial process validation. For the should-cost model, NRE is amortised over the expected production volume to calculate a per-unit contribution. NRE per unit is negligible at high volumes but significant for low-volume specialty products.

For a $10,000 fixture amortised over 10,000 units: $1.00/unit. Over 100,000 units: $0.10/unit.

ELEMENT 06

Supplier Margin

The profit margin added by the manufacturer above total cost. Typical ranges by supplier type: EMS (contract manufacturer) 5–15%; bare PCB manufacturer 10–25%; connector and passive component manufacturer 15–30%. Margin varies with market position, customer relationship, order volume, and competitive pressure. Margin is the most contested element in price negotiation.

Lower margin does not mean better value — a supplier running unsustainably low margins is a supply chain risk, not a procurement achievement.

ELEMENT 07

Other: Packaging, Logistics, Certification

Outbound packaging materials and labour, outbound freight cost, import duties (if applicable), certification cost amortised over production volume, currency risk provision, and customer-specific requirements (special labelling, documentation, kitting). Individually small, but collectively 3–8% of total cost for international supply chains and should not be omitted.

Certification cost amortisation is frequently omitted — for low-volume products with expensive certifications, this omission can be significant.

POINT 02

Typical Electronics Cost Structures — Where the Money Actually Is

Understanding the typical cost structure of the product category you are sourcing tells you where to direct cost reduction effort — and where detailed scrutiny of supplier pricing will yield the most insight. The structures below are representative of typical production volumes; they shift significantly at very low or very high volumes.

PCBA Cost Structure (Indicative)

BOM (components)

50–70%

PCB (bare board)

10–20%

SMT assembly

5–15%

Inspection / test

2–5%

Packaging / logistics

2–5%

Overhead + margin

10–20%

The implication for cost reduction: Because BOM cost accounts for 50–70% of PCBA cost, component sourcing and specification decisions dominate the cost reduction opportunity. A 10% reduction in BOM cost reduces total PCBA cost by 5–7%. A 10% reduction in assembly labour cost reduces total PCBA cost by only 0.5–1.5%. Design engineers and procurement teams who focus only on assembly cost and ignore BOM optimisation are addressing the minor cost driver while the major one goes unexamined.

Finished Product Cost Structure (Indicative)

A finished electronic product (enclosure, PCBA, display, battery, final assembly) has a different cost structure depending on product category. A communications device or IoT product is dominated by PCBA cost; a consumer device with a large display is dominated by display cost; a power tool is dominated by the mechanical assembly. As a baseline structure for a typical mid-complexity IoT or industrial device:

ELECTRONICS

PCBA and Electronic Subassemblies

Typically 40–60% of finished product cost for electronics-intensive products. Covers all PCBAs, wiring harnesses, electronic modules, and sensors. For semiconductor-intensive products (smartphones, laptops), this rises to 70–80% due to processor and display cost dominance.

MECHANICAL

Enclosure, Display, Battery, Mechanical

Enclosure (injection moulded or sheet metal), display module if present, battery or power supply, mechanical assembly hardware. Typically 20–40% of total cost. For products with premium enclosures or large displays, this can be the dominant cost element.

ASSEMBLY + TEST

Final Assembly, System Test, Firmware

Labour and equipment cost for final product assembly, system-level functional testing, firmware programming and verification, cosmetic inspection, and burn-in. Typically 5–15% of total cost; higher for products with complex mechanical assembly or extensive test requirements.

COMPLIANCE + OVH

Certification, Packaging, Overhead, Margin

Certification cost amortisation (CE, FCC, PSE, CCC), retail and export packaging, labelling and documentation, factory overhead allocation, and supplier margin. Typically 10–20% of total cost. Certification amortisation is volume-sensitive — it is a significant cost driver for low-volume specialty products.

POINT 03

Seven-Step Should-Cost Methodology

Building a Should-Cost model for an electronics product is a structured process. The seven steps below produce a model that is good enough for negotiation support and design cost-reduction prioritisation — without requiring the precision of a formal financial audit.

Understand the Product and Its Manufacturing Process

Before building a model, understand what you are costing. Obtain the product design documentation: schematic, BOM, PCB fabrication specification, mechanical drawings, and any certification requirements. Identify the manufacturing processes required: SMT, selective soldering, through-hole assembly, potting, final assembly, and test. Visit the factory or review the production flow if possible — understanding the actual process prevents modelling assumptions that differ significantly from reality.

Design docsProcess flowCertification list

Build a Complete Bill of Materials

Create a comprehensive BOM covering every component, sub-assembly, PCB, mechanical part, and consumable. Include manufacturer part numbers, reference designators, quantities per assembly, and approved alternative parts. Incomplete BOMs produce underestimated should-cost models — check that the BOM is production-complete, not a preliminary engineering BOM with placeholders. Note which components have long lead times or limited sourcing — these may have pricing that differs significantly from catalogue values.

All componentsApproved alternativesProduction-complete

Collect Component Prices at Production Volume

Price every BOM line using authorised distributor websites (Digi-Key, Mouser, Arrow) at your target production volume quantity break. Do not use the 1-piece price — volume pricing at 1,000 units is typically 30–70% below the 1-piece price for passives and connectors. For ICs and specialty components, check manufacturer direct pricing if available. Note the price date — component prices change with market conditions, particularly during shortage events. For components with long lead times or allocation risk, add a risk premium to the modelled price.

Volume price breaksAuthorised distributor pricingDate-stamped

Estimate Manufacturing Process Costs

For each manufacturing operation: estimate the cycle time per unit; apply the appropriate regional labour rate (see POINT 04); add equipment usage cost calculated from equipment capital cost, depreciation, and utilisation; and calculate overhead as a multiple of direct labour. For SMT assembly, the dominant cycle time driver is usually the placement operation — estimate based on component count and package complexity. Manual assembly operations (through-hole insertion, potting, final assembly) require time estimates based on operation count and ergonomics.

Cycle time per operationRegional labour rateEquipment utilisation

Add NRE Costs Amortised Over Production Volume

Identify all non-recurring costs: tooling (PCB test fixture, stencil, jig), first-article qualification costs, process validation, and supplier engineering setup. Divide the total NRE by your expected production volume to get the per-unit NRE contribution. For high-volume products (>100,000 units/year), NRE per unit is typically negligible; for low-volume specialty products (1,000 units/year), NRE per unit can be a significant cost driver. If amortising over a multi-year programme, use a defined number of production years, not an indefinitely long horizon.

Total NRE ÷ volumeDefined amortisation period

Apply Supplier Margin and Validate the Total

Sum all cost elements and apply a margin appropriate for the supplier type: EMS 5–15%, PCB manufacturer 10–25%, connector or passive manufacturer 15–30%. Compare the resulting Should-Cost total against the supplier's quoted price. If the gap is large (either direction), check whether the gap is explained by a model assumption that differs from reality — wrong volume, different geography, unaccounted process step — before concluding that the price is unreasonable. A model error that understates cost by 15% is common at first iteration.

Margin by supplier typeValidate before concluding

Run Sensitivity Analysis on Key Assumptions

Identify the three or four model inputs with the largest influence on the total cost estimate and test a range of values for each. Typical sensitivity variables: production volume (affects volume pricing and NRE amortisation); labour rate (exchange rate, wage inflation, geography shift); key component prices (commodity price cycles, shortage premium); overhead rate. Sensitivity analysis quantifies the uncertainty range of the should-cost estimate and identifies which assumptions are worth investing in better data to refine.

Volume sensitivityLabour rate sensitivityComponent price range

POINT 04

Manufacturing Labour Rate Benchmarks by Region

Direct labour cost is one of the most variable inputs in an electronics Should-Cost model — and one of the most frequently estimated from outdated data. The table below provides loaded direct labour rate ranges (including social insurance and mandatory benefits) for electronics manufacturing assembly operations, as rough benchmarks for model building in mid-2025. Exchange rates, local minimum wage legislation, and regional labour market tightness all affect these figures.

Region	Loaded Labour Rate (USD/hr)	Notes
China — Coastal (Guangdong, Jiangsu, Shanghai)	$4–9	Minimum wages rising annually. Coastal premium over inland approx. 30–50%. Skilled technical roles command significantly more.
China — Inland (Sichuan, Hunan, Henan)	$3–6	Lower minimum wages but higher transportation costs for components and finished goods. Increasingly competitive for labour-intensive assembly.
Vietnam	$2–5	Fast-rising wages in manufacturing centres (Hanoi, Ho Chi Minh City, Binh Duong). Now the primary China+1 destination for electronics assembly.
India	$1.5–4	Lower wages but higher overhead rates in many factories. Government incentives (PLI schemes) improving competitiveness for electronics manufacturing.
Mexico	$4–9	Near-shoring advantage for North American customers (short lead time, minimal time zone difference). USMCA tariff benefit for US-market products.
Eastern Europe (Poland, Czech, Romania)	$8–20	Wide range across the region. Poland and Czech Republic approaching Western European rates; Romania and Bulgaria lower. EU supply chain and regulatory alignment advantage.
Japan	$25–45	High labour cost partially offset by high automation density. Yen exchange rate significantly affects USD-denominated cost — verify current rate.
US / Canada / Western Europe	$25–55+	High automation mitigates labour cost for high-volume products. Justified for near-shoring, IP protection, regulatory compliance, and short-lead-time requirements.

⚠ Labour cost is a declining fraction of electronics assembly cost: As surface mount technology and automation density increase, direct labour time per assembly falls — and with it, the impact of the labour rate on total cost. For a highly automated high-volume SMT line, direct labour may be only 3–5% of total PCBA cost. In that context, moving production from a $6/hr labour market to a $3/hr labour market saves 1.5–2.5% of total cost — less than one typical component price negotiation round might achieve. Evaluate labour cost savings in proportion to their actual weight in the specific product's cost structure.

POINT 05

Two Applications — Price Negotiation and Design Cost-Down

A Should-Cost model serves two distinct but related functions: providing a basis for price negotiation with suppliers, and identifying design changes that reduce cost without reducing value. Both applications benefit from the same underlying model — but the conversation it enables is different in each case.

Application 1: Price Negotiation

💬

Use the Model as a Discussion Framework, Not a Demand

The most productive negotiation approach based on a Should-Cost model is to share the model's key conclusions and invite the supplier to identify where your assumptions differ from their actual cost structure. This framing — "our model suggests the cost should be approximately X, and we would like to understand which of our assumptions may not reflect your situation" — opens a collaborative discussion rather than a confrontational one. Suppliers who are presented with a Should-Cost as a demand ("this is what we will pay") typically respond by finding ways to reduce quality or service rather than margin.

🔍

Focus the Discussion on the Largest Gap Elements

If the supplier's quote is 20% above your Should-Cost, identify which cost elements account for the gap. A large difference in BOM cost may reflect a different component specification than your model assumed — confirm whether the supplier is planning to use a different component grade. A large difference in overhead may reflect a genuine cost structure difference (a smaller factory with lower utilisation) or may indicate margin where negotiation is productive. Present the gap by element, not just as a total — it makes the conversation more specific and prevents the supplier from defending their total price without addressing the specific elements in question.

📊

Update the Model After Each Discussion Round

Every piece of information the supplier provides — "our labour cost is higher because we use a dedicated test station," "the laminate for this board is a specialty grade" — is an opportunity to refine the model. A model that improves with each negotiation round becomes more accurate and more credible over time. After a few cycles with the same supplier, you may have a should-cost model that is accurate within 5–10% — at which point it becomes a genuine management tool for tracking price changes relative to underlying cost movements.

Application 2: Design Cost-Down (VA/VE)

Value Analysis (VA) and Value Engineering (VE) apply the cost model to design decisions: which component could be replaced with a lower-cost alternative without compromising function? Which specification is more demanding than the application actually requires? Should-Cost analysis makes these questions quantitative — it shows not just that a component is expensive, but by how much it contributes to total cost, and what the unit cost reduction would be from a specific substitution.

🎯

Rank Components by Cost Contribution to Identify Priorities

Sort the BOM by cost contribution — typically a Pareto distribution where 20% of line items represent 80% of BOM cost. Focus design cost-down effort on the high-contribution items first. A 10% reduction in the cost of a component that accounts for 30% of BOM is ten times more impactful than a 10% reduction in a component that accounts for 3% of BOM. Share this ranking with the design team — it connects procurement cost data to the design decisions that create the most leverage.

🔄

Quantify Specific Design Change Proposals

For each proposed design change — "replace IC A with IC B," "reduce copper weight from 2 oz to 1 oz on inner layers," "change surface finish from ENIG to HASL for this specific board" — calculate the unit cost impact in the should-cost model before bringing it to the design team. A proposal backed by a quantified cost delta ("this change saves $0.85/unit at 10,000 units/year, $8,500 annually") is more likely to receive design team attention than a qualitative suggestion. This is the VA/VE loop — procurement's cost intelligence informing design decisions.

POINT 06

Limitations — What a Should-Cost Model Cannot Do

A Should-Cost model is a tool for structured reasoning, not a precise calculation of a supplier's actual cost. Understanding its limitations prevents three common misapplications: treating the model as authoritative when the input assumptions are uncertain; using it to justify aggressive price demands that damage supplier relationships; and overlooking cost factors that the model systematically undercaptures.

LIMITATION 01

Input Data Accuracy Limits Output Precision

The three most uncertain inputs — overhead rate, labour rate, and supplier margin — are all estimates. A ±20% error in overhead assumption produces a ±4–8% error in total cost. A ±30% error in margin assumption (very plausible) produces a ±3–5% error in total. Treat the model output as a range (±10–20%) rather than a precise number. The value is in understanding the structure and direction of costs — not in the precision of the total.

LIMITATION 02

Supplier-Specific Factors Are Not Captured

The same product genuinely costs different amounts at different suppliers — based on their equipment utilisation, the amortisation state of existing tooling, their relationship with raw material suppliers, and their strategic pricing decisions. A Should-Cost model produces an industry-average estimate, not a specific supplier's actual cost. A supplier whose quote is 10% above your model may have a legitimate reason — or may not — and the only way to find out is to ask.

LIMITATION 03

Hidden Costs Are Systematically Undercaptured

Long-term supply commitments, engineering change support, quality system investment, dedicated account management, rapid response capability during supply disruptions, and customer-specific test development all add cost that a generic should-cost model does not capture. A supplier whose quote appears to have excess margin may be pricing in a level of service that your model treats as free. Evaluating total cost of ownership — not just manufactured unit cost — avoids the trap of awarding business to the lowest unit price and later discovering that service costs exceed the apparent savings.

LIMITATION 04

Excessive Pressure Damages Long-Term Value

A Should-Cost model used as a weapon — to extract maximum cost reduction by revealing the supplier's theoretical minimum margin — is likely to produce a supplier who complies with the target price by reducing quality, reducing service, or reducing investment in the relationship. The model is most valuable as a tool for understanding, dialogue, and mutual optimisation — not for adversarial extraction. Cost reduction achieved through joint VA/VE and process improvement is more durable than cost reduction achieved by margin compression alone.

Software tools for Should-Cost analysis: Dedicated platforms exist for automated should-cost estimation from design data. aPriori (now Centric Software) uses manufacturing process simulation to estimate cost from 3D CAD and BOM data, with regional cost libraries covering labour and overhead. Costimator (MTI) focuses on machined and fabricated parts. Siemens Capital Cost Estimator and HCL COTS serve aerospace and defence cost modelling requirements. For most electronics procurement teams, a well-structured Excel model — with component prices pulled from distributor APIs, regional labour benchmarks from industry surveys, and overhead multiples from factory benchmark data — provides adequate accuracy for negotiation support without enterprise software investment. The limiting factor is consistently the quality and currency of the input data, not the sophistication of the tool.

Summary

Should-Cost analysis replaces price guesswork with structured logic: a bottom-up estimate of direct materials, labour, overhead, equipment usage, NRE, margin, and other costs that together determine what a product should cost to manufacture at a given volume in a given geography. For electronics, BOM cost is the dominant element — typically 50–70% of PCBA cost — which means component sourcing decisions have far more cost reduction leverage than assembly labour optimisation. The seven-step methodology (understand the product → build the BOM → price at volume → model manufacturing costs → amortise NRE → apply margin → sensitivity analysis) produces a model adequate for negotiation support within two or three working days for a typical assembly. Use the model as a framework for supplier dialogue, not as a price demand. The most durable cost reductions come from joint VA/VE activities and process improvement, not from margin compression. A Should-Cost model that improves through iteration — each round incorporating information the supplier provides — becomes a genuine management tool for tracking whether price changes are driven by underlying cost changes or by commercial pressure.

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Should-Cost Analysis for Electronics:Decoding Supplier Pricing