Accurately determine your average cost basis for inventory or investments.
Weighted Average Price Calculator
Enter the details of each purchase or acquisition to calculate your Weighted Average Price (WAP).
Enter the number of units acquired.
Enter the cost per unit for this acquisition.
Enter the number of units acquired.
Enter the cost per unit for this acquisition.
Calculation Results
—
Total Cost: —
Total Quantity: —
Average Unit Cost (Simple): —
WAP = Total Cost of All Units / Total Quantity of All Units
Purchase Data Table
Here's a summary of the individual purchases used in the calculation.
Purchase
Quantity
Price Per Unit
Total Cost
Purchase 1
—
—
—
Purchase 2
—
—
—
Individual Purchase Breakdown
WAP Visualization
See how the total cost and quantity contribute to your Weighted Average Price.
Weighted Average Price Components
What is Weighted Average Price?
{primary_keyword} is a crucial financial metric used to determine the average cost of an asset or inventory when it has been acquired at different prices over time. Unlike a simple average, the {primary_keyword} accounts for the quantity of each unit purchased at each price point. This means purchases with larger quantities have a greater influence on the final average price. It's a fundamental concept for investors tracking their cost basis in stocks or other securities and for businesses managing their inventory valuation. Understanding your {primary_keyword} helps in making informed decisions regarding selling prices, profit margins, and overall financial health.
Who Should Use It?
Investors: Track the average cost basis of stocks, ETFs, mutual funds, or cryptocurrencies acquired at various times and prices. This is essential for calculating capital gains or losses accurately when selling.
Businesses: Value their inventory for accounting purposes. The {primary_keyword} method (also known as average cost method) provides a consistent way to value goods on hand.
Traders: Monitor their entry points and average cost across multiple trades of the same instrument.
Financial Analysts: Evaluate the efficiency of purchasing strategies and compare average costs across different assets or periods.
Common Misconceptions
{primary_keyword} vs. Simple Average: Many mistakenly think the average price is simply the sum of all prices divided by the number of purchases. However, the {primary_keyword} gives more weight to purchases involving larger quantities.
Static Value: The {primary_keyword} is not a fixed number. It changes dynamically with every new purchase or sale (depending on the accounting method used for sales).
Only for Stocks: While popular in stock market investing, the {primary_keyword} is equally applicable to any situation where an asset or commodity is bought in multiple lots at different prices, such as real estate or raw materials.
{primary_keyword} Formula and Mathematical Explanation
The {primary_keyword} is calculated by summing the total cost of all acquired units and then dividing that sum by the total number of units acquired. This ensures that each purchase's contribution to the average is proportional to its size.
The core formula is:
Weighted Average Price = Total Cost of All Units / Total Quantity of All Units
Let's break this down:
Calculate the Total Cost for Each Purchase: For each acquisition, multiply the number of units purchased by the price per unit.
Cost_i = Quantity_i × Price_i
Sum All Total Costs: Add up the total cost calculated for every single purchase.
Total Cost = Σ (Quantity_i × Price_i)
Sum All Quantities: Add up the total number of units from all purchases.
Total Quantity = Σ Quantity_i
Divide Total Cost by Total Quantity: The result is your Weighted Average Price.
WAP = Total Cost / Total Quantity
Variable Explanations
In the context of calculating weighted average price, the key variables are:
Variable
Meaning
Unit
Typical Range
Quantityi
The number of units acquired in a specific purchase (i).
Units (e.g., shares, items, kg)
0 or positive number (whole or decimal)
Pricei
The cost per unit for a specific purchase (i).
Currency (e.g., USD, EUR)
0 or positive number (decimal)
Total Cost
The sum of (Quantity × Price) for all purchases.
Currency (e.g., USD, EUR)
0 or positive number
Total Quantity
The sum of all quantities purchased.
Units (e.g., shares, items, kg)
0 or positive number
WAP
The final Weighted Average Price.
Currency per Unit (e.g., USD/share)
0 or positive number
Practical Examples (Real-World Use Cases)
Example 1: Stock Investor
Sarah is an investor who bought shares of TechCorp over several months:
Purchase 1: Bought 100 shares at $50.00 per share.
Purchase 2: Bought 150 shares at $55.00 per share.
Purchase 3: Bought 50 shares at $60.00 per share.
Calculation:
Cost 1: 100 shares * $50.00/share = $5,000.00
Cost 2: 150 shares * $55.00/share = $8,250.00
Cost 3: 50 shares * $60.00/share = $3,000.00
Total Cost = $5,000.00 + $8,250.00 + $3,000.00 = $16,250.00
Total Quantity = 100 + 150 + 50 = 300 shares
Weighted Average Price = $16,250.00 / 300 shares = $54.17 per share
Interpretation: Sarah's average cost basis for her TechCorp shares is $54.17. If she sells any shares, she will use this {primary_keyword} to calculate her capital gains or losses. For instance, if she sells shares for $70 each, her profit per share would be $70.00 – $54.17 = $15.83.
Example 2: Small Business Inventory
A local bakery buys flour in bulk at different times:
Purchase 1: Bought 500 kg at $1.20 per kg.
Purchase 2: Bought 700 kg at $1.35 per kg.
Purchase 3: Bought 300 kg at $1.50 per kg.
Calculation:
Cost 1: 500 kg * $1.20/kg = $600.00
Cost 2: 700 kg * $1.35/kg = $945.00
Cost 3: 300 kg * $1.50/kg = $450.00
Total Cost = $600.00 + $945.00 + $450.00 = $1,995.00
Total Quantity = 500 + 700 + 300 = 1500 kg
Weighted Average Price = $1,995.00 / 1500 kg = $1.33 per kg
Interpretation: The bakery values its current flour inventory at $1.33 per kg using the {primary_keyword} method. This helps them accurately report their Cost of Goods Sold (COGS) and inventory value on their balance sheet.
How to Use This Weighted Average Price Calculator
Our calculator simplifies the process of determining your {primary_keyword}. Follow these steps:
Enter Initial Purchases: Input the 'Quantity' and 'Price Per Unit' for your first two acquisitions in the respective fields.
Add More Purchases (Optional): If you have more than two purchase records, click the "Add Another Purchase" button to reveal additional input fields for quantity and price. You can add multiple purchase records.
Calculate: Once all relevant purchase data is entered, click the "Calculate WAP" button.
Review Results: The calculator will instantly display:
Primary Result: Your Weighted Average Price (WAP) is shown prominently.
Intermediate Values: Total Cost, Total Quantity, and Simple Average Cost are provided for context.
Purchase Data Table: A breakdown of each purchase's quantity, price, and total cost.
Visualization: A chart illustrating the contribution of each purchase to the total cost and quantity.
Interpret the Data: Use the calculated {primary_keyword} for financial analysis, inventory valuation, or tax reporting. The chart provides a visual understanding of how different purchase prices and quantities influence your average cost.
Copy Results: If you need to document or share the results, click "Copy Results". This will copy the main WAP, intermediate values, and key assumptions to your clipboard.
Reset: To start over with a fresh calculation, click the "Reset" button. This will clear all input fields and results, reverting to default settings.
Decision-Making Guidance: Compare your {primary_keyword} to current market prices. If the market price is significantly higher than your WAP, it indicates a potential unrealized gain. Conversely, if it's lower, you have an unrealized loss. This information is vital for deciding when to buy more or when to potentially sell. For businesses, understanding the {primary_keyword} helps in setting appropriate markups to ensure profitability.
Key Factors That Affect {primary_keyword} Results
Several factors can influence your Weighted Average Price and its interpretation:
Purchase Quantity: This is the most significant factor in a weighted average. Larger quantities purchased at a certain price will disproportionately pull the {primary_keyword} closer to that price.
Price Fluctuations: Volatility in the market price of an asset or commodity directly impacts the price component of each acquisition, thus affecting the overall {primary_keyword}. Buying during price dips versus peaks will yield different WAPs.
Timing of Purchases: When you make purchases matters. Acquiring a large quantity during a period of low prices will significantly lower your {primary_keyword} compared to acquiring the same quantity during high prices. This relates to the concept of timing strategies.
Transaction Costs (Fees & Commissions): While not always included in basic {primary_keyword} calculations, brokerage fees, commissions, or other transaction costs should ideally be added to the total cost of acquisition. This leads to a more accurate, albeit potentially higher, {primary_keyword}. For example, if you pay $100 in fees on a $10,000 purchase, your true cost basis increases.
Inflation: For longer-term inventory management, inflation can gradually increase the cost of acquiring goods over time. This means your {primary_keyword} might naturally trend upwards even if unit prices are stable, due to the overall decrease in purchasing power of currency.
Currency Exchange Rates: If you are acquiring assets or inventory priced in a foreign currency, fluctuations in exchange rates between your home currency and the foreign currency will directly impact the total cost and, consequently, the {primary_keyword} when converted back.
Sales and Returns: When calculating {primary_keyword} for inventory, the method of accounting for sales (e.g., FIFO, LIFO, Average Cost) is crucial. If using the average cost method, sales effectively reduce the total quantity, and the cost basis of remaining inventory is adjusted based on the {primary_keyword} at the time of sale. Specific return policies can also introduce complexities.
Frequently Asked Questions (FAQ)
What is the difference between Weighted Average Price and Simple Average Price?
A simple average price is calculated by summing all purchase prices and dividing by the number of purchases, ignoring the quantity of each purchase. The Weighted Average Price, however, considers the quantity of each purchase, giving more influence to larger buys. For example, buying 1000 units at $10 and 10 units at $100 results in a WAP of approximately $10.90 ($10000 + $1000) / (1000 + 10), while a simple average would be $55 ($10 + $100) / 2.
How is WAP used for tax purposes?
For investors, the {primary_keyword} determines the cost basis of assets. When you sell assets, the difference between the selling price and your {primary_keyword} is your capital gain or loss, which is subject to taxation. Accurate calculation of {primary_keyword} is essential for correct tax reporting.
Can WAP be negative?
No, the Weighted Average Price cannot be negative. Quantities and prices per unit are typically non-negative values. The total cost and total quantity will therefore also be non-negative, resulting in a non-negative WAP.
What if I sell some of my assets? How does that affect WAP?
If you are using the average cost method for accounting (common for mutual funds, ETFs, and inventory), selling assets reduces your total quantity. The remaining inventory or holdings retain the calculated {primary_keyword} as their cost basis until new purchases are made. Some methods, like specific lot identification, track costs individually rather than using an average.
Does WAP apply only to financial assets?
No, the concept of {primary_keyword} is widely applicable. It's used in inventory management for businesses (e.g., raw materials, finished goods), tracking the cost of commodities, and even in calculating average scores in certain grading systems where different assignments have different weights.
How often should I update my WAP?
You should update your {primary_keyword} calculation whenever you make a new purchase of the asset or inventory. For investors, this means after each buy order. For businesses, it's typically done when new stock arrives.
What if I buy back an asset at a much lower price after selling it high?
Each purchase is treated independently when calculating {primary_keyword}. If you sell assets and later buy them back at a lower price, this new purchase will lower your overall {primary_keyword} based on its quantity and price, moving it closer to the new, lower acquisition cost.
Can transaction fees be included in the WAP calculation?
Yes, for a more accurate cost basis, transaction fees (like brokerage commissions, stamp duties, or platform fees) should be added to the total cost of acquisition. This means each purchase's total cost would be (Quantity * Price) + Fees. This slightly increases the {primary_keyword} but provides a truer reflection of your investment cost.
Related Tools and Internal Resources
Simple Average CalculatorCalculate a basic average without considering quantity weights. Useful for comparison.
Inventory Management BasicsLearn fundamental techniques for tracking and valuing your business inventory effectively.
var purchaseCount = 2; // Start with 2 initial purchase inputs
function addPurchase() {
purchaseCount++;
var container = document.getElementById('inputsContainer');
var quantityGroup = document.createElement('div');
quantityGroup.className = 'input-group';
quantityGroup.innerHTML = `
Enter the number of units acquired.
`;
container.appendChild(quantityGroup);
var priceGroup = document.createElement('div');
priceGroup.className = 'input-group';
priceGroup.innerHTML = `
Enter the cost per unit for this acquisition.
`;
container.appendChild(priceGroup);
// Update table structure dynamically if needed, or handle in calculation
var tableBody = document.getElementById('purchaseTableBody');
var newRow = document.createElement('tr');
newRow.innerHTML = `
Purchase ${purchaseCount}
—
—
—
`;
tableBody.appendChild(newRow);
// Re-apply current values if calculator has been run
var currentQty = document.getElementById('quantity' + purchaseCount);
var currentPrice = document.getElementById('price' + purchaseCount);
if (currentQty && currentPrice) {
// Check if previous calculation exists to repopulate
var totalQuantity = parseFloat(document.getElementById('totalQuantity').innerText.replace(/,/g, ")) || 0;
if (totalQuantity > 0) {
calculateWAP(); // Recalculate if values were present before adding
}
}
}
function validateInput(inputId, errorId, minValue = 0) {
var input = document.getElementById(inputId);
var errorSpan = document.getElementById(errorId);
var value = parseFloat(input.value);
if (input.value === "") {
errorSpan.textContent = "This field cannot be empty.";
return false;
} else if (isNaN(value)) {
errorSpan.textContent = "Please enter a valid number.";
return false;
} else if (value < minValue) {
errorSpan.textContent = `Value must be at least ${minValue}.`;
return false;
} else {
errorSpan.textContent = "";
return true;
}
}
function calculateWAP() {
var totalCost = 0;
var totalQuantity = 0;
var simpleSumPrices = 0;
var validInputs = true;
// Clear previous table data
for (var i = 1; i <= purchaseCount; i++) {
document.getElementById('tableQty' + i).textContent = '–';
document.getElementById('tablePrice' + i).textContent = '–';
document.getElementById('tableTotalCost' + i).textContent = '–';
}
for (var i = 1; i 0) {
wap = totalCost / totalQuantity;
}
var simpleAvg = 0;
if (purchaseCount > 0) {
simpleAvg = simpleSumPrices / purchaseCount;
}
document.getElementById('wapResult').textContent = '$' + wap.toLocaleString(undefined, {minimumFractionDigits: 2, maximumFractionDigits: 2});
document.getElementById('totalCost').textContent = '$' + totalCost.toLocaleString(undefined, {minimumFractionDigits: 2, maximumFractionDigits: 2});
document.getElementById('totalQuantity').textContent = totalQuantity.toLocaleString(undefined, {minimumFractionDigits: 2, maximumFractionDigits: 2});
document.getElementById('simpleAvgCost').textContent = '$' + simpleAvg.toLocaleString(undefined, {minimumFractionDigits: 2, maximumFractionDigits: 2});
// Update Chart Data
var chartData = [];
var chartLabels = [];
for (var i = 1; i 0 && price > 0) {
chartData.push({
label: 'Purchase ' + i,
value: cost, // Use cost for bar height
quantity: qty,
price: price
});
chartLabels.push('Purchase ' + i);
}
}
updateChart(chartData, chartLabels);
}
var wapChartInstance = null;
function updateChart(data, labels) {
var ctx = document.getElementById('wapChart').getContext('2d');
// Destroy previous chart instance if it exists
if (wapChartInstance) {
wapChartInstance.destroy();
}
// Prepare datasets for chart
var datasets = [
{
label: 'Total Cost per Purchase',
data: data.map(item => item.value),
backgroundColor: 'rgba(54, 162, 235, 0.6)', // Blue
borderColor: 'rgba(54, 162, 235, 1)',
borderWidth: 1,
yAxisID: 'y-axis-cost'
},
{
label: 'Quantity per Purchase',
data: data.map(item => item.quantity),
backgroundColor: 'rgba(255, 99, 132, 0.6)', // Red
borderColor: 'rgba(255, 99, 132, 1)',
borderWidth: 1,
yAxisID: 'y-axis-quantity'
}
];
var chartOptions = {
responsive: true,
maintainAspectRatio: false,
scales: {
x: {
ticks: {
callback: function(value, index, ticks) {
return labels[index];
}
}
},
'y-axis-cost': {
type: 'linear',
position: 'left',
title: {
display: true,
text: 'Total Cost ($)'
},
ticks: {
beginAtZero: true,
callback: function(value) {
return '$' + value.toLocaleString();
}
}
},
'y-axis-quantity': {
type: 'linear',
position: 'right',
title: {
display: true,
text: 'Quantity'
},
ticks: {
beginAtZero: true
},
grid: {
drawOnChartArea: false, // Only display axis label, no grid lines
}
}
},
plugins: {
tooltip: {
callbacks: {
label: function(context) {
var label = context.dataset.label || ";
if (label) {
label += ': ';
}
if (context.dataset.type === 'bar') {
if (context.dataset.yAxisID === 'y-axis-cost') {
label += '$' + context.raw.toLocaleString(undefined, {minimumFractionDigits: 2, maximumFractionDigits: 2});
} else {
label += context.raw.toLocaleString(undefined, {minimumFractionDigits: 2, maximumFractionDigits: 2});
}
}
return label;
}
}
},
legend: {
display: false // Use custom legend
}
}
};
// Specific handling for empty data
if (data.length === 0) {
ctx.canvas.style.display = 'none'; // Hide canvas if no data
document.getElementById('chartLegend').innerHTML = ";
return;
} else {
ctx.canvas.style.display = 'block'; // Show canvas
}
wapChartInstance = new Chart(ctx, {
type: 'bar', // Changed to bar chart for better comparison of cost/quantity per purchase
data: {
labels: labels,
datasets: datasets
},
options: chartOptions
});
// Update custom legend
var legendHtml = ";
legendHtml += 'Total Cost per Purchase';
legendHtml += 'Quantity per Purchase';
document.getElementById('chartLegend').innerHTML = legendHtml;
}
function resetCalculator() {
// Reset purchaseCount to initial state (2)
purchaseCount = 2;
// Clear dynamic inputs and reset to initial state
var inputsContainer = document.getElementById('inputsContainer');
inputsContainer.innerHTML = `
Enter the number of units acquired.
Enter the cost per unit for this acquisition.
Enter the number of units acquired.
Enter the cost per unit for this acquisition.
`;
// Clear table body
var tableBody = document.getElementById('purchaseTableBody');
tableBody.innerHTML = `
Purchase 1
—
—
—
Purchase 2
—
—
—
`;
// Reset results display
document.getElementById('wapResult').textContent = '–';
document.getElementById('totalCost').textContent = '–';
document.getElementById('totalQuantity').textContent = '–';
document.getElementById('simpleAvgCost').textContent = '–';
// Clear chart
if (wapChartInstance) {
wapChartInstance.destroy();
wapChartInstance = null;
}
document.getElementById('wapChart').getContext('2d').clearRect(0, 0, 1, 1); // Clear canvas content
document.getElementById('chartLegend').innerHTML = ";
document.getElementById('chartContainer').style.display = 'none'; // Hide chart container if empty
// Ensure chart container is visible/hidden correctly based on data
document.getElementById('chartContainer').style.display = 'none';
}
function copyResults() {
var wapResult = document.getElementById('wapResult').textContent;
var totalCost = document.getElementById('totalCost').textContent;
var totalQuantity = document.getElementById('totalQuantity').textContent;
var simpleAvgCost = document.getElementById('simpleAvgCost').textContent;
var resultsText = "Weighted Average Price Calculation Results:\n\n";
resultsText += "Weighted Average Price (WAP): " + wapResult + "\n";
resultsText += "Total Cost: " + totalCost + "\n";
resultsText += "Total Quantity: " + totalQuantity + "\n";
resultsText += "Simple Average Cost: " + simpleAvgCost + "\n\n";
resultsText += "Key Assumptions:\n";
resultsText += "Calculation based on individual purchase quantities and prices entered.\n";
resultsText += "Does not include potential transaction fees unless manually added to price input.\n";
// Append table data to copied text
resultsText += "\nPurchase Breakdown:\n";
var tableRows = document.querySelectorAll("#purchaseTableBody tr");
tableRows.forEach(function(row) {
var cells = row.querySelectorAll("td");
if (cells.length === 4) {
resultsText += `${cells[0].textContent}: Qty=${cells[1].textContent}, Price/Unit=${cells[2].textContent}, Total Cost=${cells[3].textContent}\n`;
}
});
// Use a temporary textarea for copying
var tempTextArea = document.createElement("textarea");
tempTextArea.value = resultsText;
document.body.appendChild(tempTextArea);
tempTextArea.select();
try {
document.execCommand('copy');
alert('Results copied to clipboard!');
} catch (err) {
console.error('Failed to copy results: ', err);
alert('Failed to copy results. Please copy manually.');
}
document.body.removeChild(tempTextArea);
}
function toggleFaq(element) {
var answer = element.nextElementSibling;
if (answer.style.display === "block") {
answer.style.display = "none";
} else {
answer.style.display = "block";
}
}
// Initial calculation on load if default values are present, or to setup chart
document.addEventListener('DOMContentLoaded', function() {
// Check if default inputs have values to trigger initial calculation
var qty1 = document.getElementById('quantity1').value;
var price1 = document.getElementById('price1').value;
var qty2 = document.getElementById('quantity2').value;
var price2 = document.getElementById('price2').value;
if (qty1 && price1 && qty2 && price2) {
calculateWAP();
} else {
// Ensure chart is hidden initially if no data
document.getElementById('chartContainer').style.display = 'none';
}
// Add event listeners for real-time updates
var inputFields = document.querySelectorAll('#inputsContainer input[type="number"]');
inputFields.forEach(function(input) {
input.addEventListener('input', calculateWAP);
input.addEventListener('blur', function() { // Also validate on blur
var id = input.id;
var errorId = id + 'Error';
var minValue = 0;
if (input.min) minValue = parseFloat(input.min);
validateInput(id, errorId, minValue);
});
});
});
// Load Chart.js library if it's not already loaded
if (typeof Chart === 'undefined') {
var script = document.createElement('script');
script.src = 'https://cdn.jsdelivr.net/npm/chart.js@3.9.1/dist/chart.min.js'; // Use a specific version
document.head.appendChild(script);
}