Instantly calculate the weighted average unit cost for inventory, shares, or manufacturing components.
Weighted Average Cost (Per Unit)
$0.00
Total Units
0
Total Cost
$0.00
Batches Count
0
Formula: WAC = (Sum of (Unit Price × Quantity)) ÷ Total Quantity
Figure 1: Comparison of Unit Cost per Batch vs. Weighted Average
Batch #
Quantity
Unit Cost
Total Batch Cost
Table 1: Detailed Breakdown of Costs by Batch
What is Weighted Average Cost?
The Weighted Average Cost (WAC) is a financial calculation used to determine the average cost per unit of a set of items, accounting for the fact that different quantities were acquired at different prices. Unlike a simple average, which treats all price points equally regardless of volume, the weighted average cost calculator gives more "weight" to prices associated with larger quantities.
This metric is critical for inventory valuation (often referred to as the Weighted Average Cost method in accounting), investment portfolio management (calculating the cost basis of shares bought at different times), and manufacturing cost estimation. By smoothing out price fluctuations over time, it provides a stable baseline for financial reporting and profitability analysis.
This method is widely used by:
Inventory Managers: To value ending inventory and Cost of Goods Sold (COGS).
Investors: To determine the break-even price of stocks or crypto assets accumulated via Dollar Cost Averaging (DCA).
Accountants: To comply with GAAP or IFRS standards when specific identification of items is not feasible.
Weighted Average Cost Formula and Mathematical Explanation
The calculation assigns a weight to each unit cost based on the quantity purchased at that price. The general formula used by this weighted average cost calculator is:
WAC = Total Cost of Goods Available for Sale / Total Units Available for Sale
Mathematically, it can be expressed as:
WAC = ∑(Quantity_i × Cost_i) / ∑(Quantity_i)
Where:
Variable
Meaning
Typical Unit
Quantity_i
The number of units in a specific batch or lot
Units, Shares, Kg, Liters
Cost_i
The price paid per unit for that specific batch
Currency ($)
∑ (Sigma)
Sum of all batches
N/A
Table 2: Variables in the Weighted Average Cost Formula
Practical Examples (Real-World Use Cases)
Example 1: Retail Inventory
Imagine a retailer selling widgets. They restock three times at different prices due to supplier fluctuations.
Step 2: Calculate Total Units
100 + 200 + 50 = 350 units
Step 3: Calculate WAC
$4,150 / 350 = $11.86 per unit
Even though the highest price was $15, the weighted average is closer to $12 because the largest batch (200 units) was bought at that price.
Example 2: Stock Portfolio
An investor buys shares of a tech company over several months.
January: 10 shares at $150
February: 5 shares at $180
March: 20 shares at $140
Using the weighted average cost calculator, the total invested is $5,200 for 35 shares. The average cost basis per share is $148.57. If the investor sells shares for $160, they know they are making a profit based on this average.
How to Use This Weighted Average Cost Calculator
Enter Batch Details: For your first purchase or lot, enter the Quantity and the Unit Cost in the respective fields.
Add More Batches: Click the + Add Batch button to create new rows for subsequent purchases or production runs.
Review Real-Time Results: The calculator updates instantly. The blue box shows your primary Weighted Average Cost.
Analyze the Chart: Look at the bar chart to see how individual batch prices compare to your overall average. Bars above the average line indicate expensive batches that pulled your average up.
Export Data: Use the "Copy Results" button to paste the summary into Excel or an email report.
Key Factors That Affect Weighted Average Cost
Several financial and economic factors influence the outcome of a weighted average calculation:
Volume of Purchase: Large orders have a disproportionate impact on the average. A massive order at a low price will significantly lower the WAC, even if many small orders are placed at high prices.
Price Volatility: In highly volatile markets (like crypto or raw materials), the timing of your largest purchases determines whether your WAC is favorable.
Inflation: In an inflationary environment, later batches usually cost more. This tends to drag the weighted average cost up over time, though it trails the current market price (unlike LIFO).
Supplier Discounts: Bulk discounts reduce the unit cost for large quantities, heavily weighting the average downward.
Freight and Handling: For accurate accounting, "Unit Cost" should include landing costs (shipping, taxes, duties). Excluding these results in an artificially low WAC.
Inventory Turnover: Faster turnover means the weighted average follows current market prices more closely, as old, cheaper (or more expensive) stock is cycled out.
Frequently Asked Questions (FAQ)
1. Is Weighted Average Cost the same as a simple average?
No. A simple average adds the prices and divides by the number of price points (e.g., ($10 + $20) / 2 = $15). A weighted average accounts for quantity. If you bought 1 unit at $10 and 99 units at $20, the weighted average is $19.90, reflecting the bulk of the volume.
2. Can I use this for stock trading?
Yes. This is essentially a "Cost Basis Calculator." It helps you understand your break-even point when you have accumulated a position through multiple trades.
3. What happens if I enter a negative quantity?
The calculator is designed to validate inputs. Negative quantities (which might represent sales) are generally handled differently in accounting (moving average). For this standard WAC calculator, please use positive numbers for acquisitions.
4. Does this calculator handle different currencies?
The math is unit-agnostic. As long as you are consistent (e.g., all costs in USD or all in EUR), the result will be accurate for that currency.
5. Why is Weighted Average preferred over FIFO or LIFO?
It is simpler to track and prevents manipulation of income. It smoothes out price peaks and valleys, providing a more consistent cost basis for reporting periods.
6. How do I account for returns?
If you returned items, you could mathematically treat them as negative quantity at the original cost price, but for this tool, it is best to calculate the net quantity and cost before entering.
7. Is this GAAP compliant?
The Weighted Average method is accepted under both GAAP (Generally Accepted Accounting Principles) and IFRS (International Financial Reporting Standards).
8. How many batches can I add?
You can add as many batches as needed. The tool will dynamically expand to accommodate your data.
Related Tools and Internal Resources
Expand your financial toolkit with our other specialized calculators:
COGS Calculator – A comprehensive tool for Cost of Goods Sold.
// State management using var (Strict requirement)
var batchCount = 0;
// Initialization
window.onload = function() {
addBatch(); // Batch 1
addBatch(); // Batch 2
calculate();
};
function addBatch() {
batchCount++;
var container = document.getElementById('batches-container');
var rowId = 'batch-' + batchCount;
var div = document.createElement('div');
div.className = 'batch-row';
div.id = rowId;
var html = ";
// Quantity Input
html += '
';
html += '';
html += ";
html += '
Invalid quantity
';
html += '
';
// Cost Input
html += '
';
html += '';
html += ";
html += '
Invalid cost
';
html += '
';
// Remove Button (Only for batch 3 onwards or if we want flexibility, but let's allow removing any except the first one to ensure stability, or handle logic carefully)
// Implementation: Allow removing any row, but if 0 rows, auto add one.
html += '';
div.innerHTML = html;
container.appendChild(div);
}
function removeBatch(id) {
var row = document.getElementById(id);
if (row) {
row.parentNode.removeChild(row);
calculate();
}
// Ensure at least one row exists
var container = document.getElementById('batches-container');
if (container.children.length === 0) {
batchCount = 0; // reset counter purely for ID neatness, though not strictly necessary
addBatch();
}
}
function resetCalculator() {
document.getElementById('batches-container').innerHTML = ";
batchCount = 0;
addBatch();
addBatch();
calculate();
}
function calculate() {
var container = document.getElementById('batches-container');
var rows = container.getElementsByClassName('batch-row');
var totalQty = 0;
var totalCost = 0;
var tableBody = document.getElementById('summary-table').getElementsByTagName('tbody')[0];
tableBody.innerHTML = "; // Clear table
var chartLabels = [];
var chartDataCost = [];
var validData = true;
// Loop through rows
for (var i = 0; i < rows.length; i++) {
var row = rows[i];
var inputs = row.getElementsByTagName('input');
var qtyInput = inputs[0];
var costInput = inputs[1];
var qVal = parseFloat(qtyInput.value);
var cVal = parseFloat(costInput.value);
// Simple validation
if (isNaN(qVal) || qVal < 0) qVal = 0;
if (isNaN(cVal) || cVal 0) {
totalQty += qVal;
totalCost += batchTotal;
// Add to chart data
var label = row.getElementsByTagName('label')[0].textContent; // "Batch X Quantity" -> take "Batch X"
label = label.replace(' Quantity', ");
chartLabels.push(label);
chartDataCost.push(cVal); // Chart compares Unit Costs
// Add to Table
var tr = document.createElement('tr');
tr.innerHTML = '
' + label + '
' +
'
' + qVal.toLocaleString() + '
' +
'
$' + cVal.toFixed(2) + '
' +
'
$' + batchTotal.toFixed(2) + '
';
tableBody.appendChild(tr);
}
}
var wac = 0;
if (totalQty > 0) {
wac = totalCost / totalQty;
}
// Update Results
document.getElementById('result-wac').innerText = '$' + wac.toFixed(2);
document.getElementById('result-units').innerText = totalQty.toLocaleString();
document.getElementById('result-cost').innerText = '$' + totalCost.toLocaleString(undefined, {minimumFractionDigits: 2, maximumFractionDigits: 2});
document.getElementById('result-count').innerText = chartLabels.length;
// Update Chart
drawChart(chartLabels, chartDataCost, wac);
}
function drawChart(labels, data, average) {
var canvas = document.getElementById('costChart');
if (!canvas.getContext) return;
var ctx = canvas.getContext('2d');
// Clear canvas
ctx.clearRect(0, 0, canvas.width, canvas.height);
// Handle High DPI
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var rect = canvas.getBoundingClientRect();
canvas.width = rect.width * dpr;
canvas.height = rect.height * dpr;
ctx.scale(dpr, dpr);
var width = rect.width;
var height = rect.height;
var padding = 40;
var bottomPadding = 40;
if (data.length === 0) {
ctx.font = "14px Arial";
ctx.fillStyle = "#666";
ctx.fillText("Enter data to view chart", width/2 – 60, height/2);
return;
}
// Determine Max Y
var maxVal = Math.max.apply(null, data);
if (average > maxVal) maxVal = average;
if (maxVal === 0) maxVal = 10;
maxVal = maxVal * 1.2; // Add headroom
// Draw Axes
ctx.beginPath();
ctx.strokeStyle = "#ccc";
ctx.moveTo(padding, 10);
ctx.lineTo(padding, height – bottomPadding);
ctx.lineTo(width – 10, height – bottomPadding);
ctx.stroke();
// Draw Bars
var barWidth = (width – padding – 20) / data.length;
if (barWidth > 60) barWidth = 60; // Max bar width
var gap = (width – padding – 20 – (barWidth * data.length)) / (data.length + 1);
for (var i = 0; i 20) {
ctx.fillText(data[i].toFixed(1), x + barWidth/2, y + 15);
} else {
ctx.fillStyle = "#333";
ctx.fillText(data[i].toFixed(1), x + barWidth/2, y – 5);
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}
// Draw Average Line
var avgH = (average / maxVal) * (height – bottomPadding – 10);
var avgY = height – bottomPadding – avgH;
ctx.beginPath();
ctx.strokeStyle = "#28a745";
ctx.lineWidth = 2;
ctx.setLineDash([5, 5]);
ctx.moveTo(padding, avgY);
ctx.lineTo(width – 10, avgY);
ctx.stroke();
ctx.setLineDash([]);
// Average Label
ctx.fillStyle = "#28a745";
ctx.font = "bold 12px Arial";
ctx.textAlign = "right";
ctx.fillText("Avg: " + average.toFixed(2), width – 15, avgY – 5);
}
function copyResults() {
var wac = document.getElementById('result-wac').innerText;
var units = document.getElementById('result-units').innerText;
var cost = document.getElementById('result-cost').innerText;
var text = "Weighted Average Cost Calculation:\n";
text += "——————————–\n";
text += "Weighted Average Cost: " + wac + "\n";
text += "Total Units: " + units + "\n";
text += "Total Cost: " + cost + "\n";
text += "——————————–\n";
text += "Calculated using Weighted Average Cost Calculator";
var textArea = document.createElement("textarea");
textArea.value = text;
document.body.appendChild(textArea);
textArea.select();
try {
document.execCommand('copy');
var btn = document.querySelector('.btn-primary');
var originalText = btn.innerText;
btn.innerText = "Copied!";
btn.style.background = "#28a745";
setTimeout(function(){
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alert('Failed to copy');
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document.body.removeChild(textArea);
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