Weighted Average Price Calculator

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{primary_keyword} for precise portfolio pricing

This {primary_keyword} lets you input multiple purchases with different quantities and unit prices to compute a single weighted average price, backed by real-time tables, a dynamic chart, and a clear formula explanation.

Weighted Average Price Calculator

Units acquired in the first lot.
Unit price for the first lot.
Units acquired in the second lot.
Unit price for the second lot.
Units acquired in the third lot.
Unit price for the third lot.
Units acquired in the fourth lot.
Unit price for the fourth lot.
Weighted Average Price: 0.00
Total Cost: 0.00
Total Units: 0.00
Simple Average Price: 0.00
Formula: Weighted Average Price = Σ(Price × Quantity) ÷ Σ(Quantity)
Item Quantity Price per Unit Total Cost Weight Share Cost Share
Table: Breakdown of each lot feeding the {primary_keyword} output.
Legend: Blue = Weight Share, Green = Cost Share
Chart: Visual comparison of weight and cost shares driving the {primary_keyword}.

What is {primary_keyword}?

{primary_keyword} is the consolidated unit price that reflects every lot of an asset when quantities and prices differ, making {primary_keyword} the preferred benchmark for traders, inventory managers, and finance teams.

{primary_keyword} should be used by analysts who rebalance positions, CFOs monitoring procurement, and investors averaging into positions; ignoring {primary_keyword} leads to distorted profitability views.

Common misconceptions around {primary_keyword} include treating all purchases equally, forgetting fees, and assuming timing does not matter; {related_keywords} can deepen understanding through {related_keywords} at {related_keywords}.

{primary_keyword} Formula and Mathematical Explanation

The {primary_keyword} formula multiplies each unit price by its quantity, sums those costs, and divides by total units; this linear weighting ensures {primary_keyword} reflects actual exposure.

Step-by-step, {primary_keyword} requires: compute cost per lot, sum costs, sum units, then divide total cost by total units. Each variable in {primary_keyword} must stay positive and realistic to maintain accuracy; see {related_keywords} insights via {related_keywords}.

VariableMeaningUnitTypical Range
QQuantity in a lotUnits1 to 1,000,000
PPrice per unitCurrency per unit0.01 to 10,000
Σ(Q)Total quantityUnits1 to 1,000,000
Σ(P×Q)Total costCurrency1 to 50,000,000
WAPWeighted average priceCurrency per unit0.01 to 10,000
Variables table grounding the {primary_keyword} math.

Practical Examples (Real-World Use Cases)

Example 1: Equity accumulation

{primary_keyword} guides an investor buying 100 units at 12.00, 200 units at 15.00, and 150 units at 14.00; total cost is 6,300 and total units 450, making {primary_keyword} equal to 14.00, which sets the true break-even.

Example 2: Inventory procurement

{primary_keyword} helps a retailer purchasing 500 units at 8.40 and 300 units at 9.60; total cost 7,920 over 800 units yields a {primary_keyword} of 9.90, informing markup decisions and linking to {related_keywords} resources at {related_keywords}.

How to Use This {primary_keyword} Calculator

Enter quantities and unit prices for each lot, watch {primary_keyword} update instantly, and review the table plus chart; the primary result shows the consolidated {primary_keyword} while intermediate totals verify the math.

Interpretation: if {primary_keyword} rises, recent buys are costlier; if {primary_keyword} falls, new lots are cheaper. Use {related_keywords} knowledge via {related_keywords} to connect {primary_keyword} outcomes with allocation choices.

Key Factors That Affect {primary_keyword} Results

  • Quantity mix: heavier lots tilt {primary_keyword} toward their prices.
  • Unit price volatility: larger swings create more {primary_keyword} movement.
  • Timing and fees: adding costs to each lot changes effective {primary_keyword}.
  • Taxes and rebates: adjustments shift lot-level costs and thus {primary_keyword}.
  • Currency effects: conversions alter per-unit price inputs for {primary_keyword}.
  • Inventory methods: FIFO or LIFO choices still need {primary_keyword} for clarity; learn via {related_keywords}.

Frequently Asked Questions (FAQ)

Is {primary_keyword} better than a simple average?

Yes, {primary_keyword} respects volume so large lots matter more.

Can {primary_keyword} be negative?

No, {primary_keyword} stays non-negative because quantities and prices are non-negative.

Does {primary_keyword} handle partial fills?

Yes, enter fractional quantities to keep {primary_keyword} precise.

How do fees change {primary_keyword}?

Add fees into unit prices so {primary_keyword} includes real costs; see {related_keywords}.

What if total quantity is zero?

{primary_keyword} returns zero because no weighting base exists.

Can {primary_keyword} track multiple currencies?

Convert to one currency before entering to keep {primary_keyword} coherent.

How often should I recalc {primary_keyword}?

Recompute {primary_keyword} whenever a new lot is added or removed.

Is {primary_keyword} useful for budgeting?

Yes, {primary_keyword} shows blended procurement costs to guide budgets using {related_keywords} insights at {related_keywords}.

Related Tools and Internal Resources

Use this {primary_keyword} to maintain precise pricing visibility across every lot.

var defaultValues = { item1Units:120, item1Price:14.50, item2Units:80, item2Price:16.20, item3Units:50, item3Price:15.10, item4Units:200, item4Price:13.75 }; function resetCalc(){ for(var key in defaultValues){ var el = document.getElementById(key); if(el){ el.value = defaultValues[key]; } } updateCalc(); } function validateInput(id){ var el = document.getElementById(id); var val = parseFloat(el.value); var errorEl = document.getElementById(id + "Error"); if(isNaN(val)){ errorEl.innerHTML = "Enter a valid number."; return 0; } if(val 1000000000){ errorEl.innerHTML = "Value too large."; return 0; } errorEl.innerHTML = ""; return val; } function buildRows(data){ var body = document.getElementById("itemTableBody"); var html = ""; for(var i=0;i<data.length;i++){ var item = data[i]; html += ""; html += "Item " + (i+1) + ""; html += "" + item.units.toFixed(2) + ""; html += "" + item.price.toFixed(2) + ""; html += "" + item.cost.toFixed(2) + ""; html += "" + item.weightShare.toFixed(2) + "%"; html += "" + item.costShare.toFixed(2) + "%"; html += ""; } body.innerHTML = html; } function updateChart(data){ var canvas = document.getElementById("wapChart"); var ctx = canvas.getContext("2d"); ctx.clearRect(0,0,canvas.width,canvas.height); var padding = 40; var barWidth = 30; var gap = 30; var startX = padding; var maxHeight = canvas.height – 120; for(var i=0;i<data.length;i++){ var weightH = maxHeight * (data[i].weightShare/100); var costH = maxHeight * (data[i].costShare/100); var x1 = startX + i*(barWidth*2 + gap); var yBase = canvas.height – padding; ctx.fillStyle = "#004a99"; ctx.fillRect(x1, yBase – weightH, barWidth, weightH); ctx.fillStyle = "#28a745"; ctx.fillRect(x1 + barWidth + 4, yBase – costH, barWidth, costH); ctx.fillStyle = "#1d2a3a"; ctx.fillText("Item " + (i+1), x1, yBase + 14); } ctx.fillStyle = "#1d2a3a"; ctx.fillText("Weight vs Cost Shares per Lot", padding, 20); } function updateCalc(){ var units = []; var prices = []; units.push(validateInput("item1Units")); prices.push(validateInput("item1Price")); units.push(validateInput("item2Units")); prices.push(validateInput("item2Price")); units.push(validateInput("item3Units")); prices.push(validateInput("item3Price")); units.push(validateInput("item4Units")); prices.push(validateInput("item4Price")); var totalUnits = 0; var totalCost = 0; var validPrices = 0; var simpleSum = 0; for(var i=0;i0){ simpleSum += p; validPrices++; } } var weighted = 0; if(totalUnits > 0){ weighted = totalCost / totalUnits; } var simpleAvg = 0; if(validPrices>0){ simpleAvg = simpleSum / validPrices; } document.getElementById("mainResult").innerHTML = "Weighted Average Price: " + weighted.toFixed(4); document.getElementById("intermediate1").innerHTML = "Total Cost: " + totalCost.toFixed(2); document.getElementById("intermediate2").innerHTML = "Total Units: " + totalUnits.toFixed(2); document.getElementById("intermediate3").innerHTML = "Simple Average Price: " + simpleAvg.toFixed(4); var formula = "Formula: Weighted Average Price = Σ(Price × Quantity) ÷ Σ(Quantity). Each lot shapes {primary_keyword} proportionally to its units."; document.getElementById("formulaText").innerHTML = formula; var tableData = []; for(var j=0;j0 ? (units[j]/totalUnits)*100 : 0; var costShare = totalCost>0 ? (cost/totalCost)*100 : 0; tableData.push({units:units[j],price:prices[j],cost:cost,weightShare:weightShare,costShare:costShare}); } buildRows(tableData); updateChart(tableData); } function copyResults(){ var text = ""; text += document.getElementById("mainResult").innerText + "\n"; text += document.getElementById("intermediate1").innerText + "\n"; text += document.getElementById("intermediate2").innerText + "\n"; text += document.getElementById("intermediate3").innerText + "\n"; text += document.getElementById("formulaText").innerText + "\n"; if(navigator.clipboard && navigator.clipboard.writeText){ navigator.clipboard.writeText(text); } } updateCalc();

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