How to Calculate Ending Inventory Using Weighted Average

Weighted Average Cost Method: Calculate Ending Inventory – Your Site :root { –primary-color: #004a99; –success-color: #28a745; –background-color: #f8f9fa; –text-color: #333; –border-color: #ddd; –card-background: #fff; –error-color: #dc3545; } body { font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; line-height: 1.6; background-color: var(–background-color); color: var(–text-color); margin: 0; padding: 20px; display: flex; flex-direction: column; align-items: center; } main { width: 100%; max-width: 1000px; background-color: var(–card-background); padding: 30px; border-radius: 8px; box-shadow: 0 4px 15px rgba(0, 0, 0, 0.1); margin-bottom: 30px; } h1, h2, h3 { color: var(–primary-color); margin-bottom: 15px; text-align: center; } h1 { font-size: 2.5em; margin-bottom: 20px; } h2 { font-size: 2em; margin-top: 30px; border-bottom: 2px solid var(–primary-color); padding-bottom: 5px; } h3 { font-size: 1.5em; margin-top: 25px; } .calculator-section { margin-bottom: 40px; padding: 25px; border: 1px solid var(–border-color); border-radius: 8px; background-color: var(–card-background); box-shadow: 0 2px 10px rgba(0, 0, 0, 0.05); } .loan-calc-container { display: flex; flex-direction: column; gap: 20px; } .input-group { display: flex; flex-direction: column; gap: 5px; } .input-group label { font-weight: bold; margin-bottom: 5px; color: var(–primary-color); } .input-group input[type="number"], .input-group select { padding: 10px; border: 1px solid var(–border-color); border-radius: 4px; font-size: 1em; box-sizing: border-box; } .input-group input[type="number"]:focus, .input-group select:focus { outline: none; border-color: var(–primary-color); box-shadow: 0 0 0 3px rgba(0, 74, 153, 0.2); } .input-group .helper-text { font-size: 0.85em; color: #6c757d; margin-top: 5px; } .error-message { color: var(–error-color); font-size: 0.8em; margin-top: 5px; min-height: 1.2em; /* Prevent layout shift */ } .button-group { display: flex; gap: 15px; margin-top: 25px; justify-content: center; flex-wrap: wrap; } button { padding: 12px 25px; border: none; border-radius: 5px; cursor: pointer; font-size: 1em; font-weight: bold; transition: background-color 0.3s ease, transform 0.2s ease; } button.primary { background-color: var(–primary-color); color: white; } button.primary:hover { background-color: #003366; transform: translateY(-2px); } button.secondary { background-color: #6c757d; color: white; } button.secondary:hover { background-color: #5a6268; transform: translateY(-2px); } button.success { background-color: var(–success-color); color: white; } button.success:hover { background-color: #218838; transform: translateY(-2px); } .results-container { background-color: var(–primary-color); color: white; padding: 25px; border-radius: 8px; margin-top: 30px; box-shadow: 0 4px 10px rgba(0, 0, 0, 0.1); text-align: center; } .results-container h3 { color: white; margin-bottom: 15px; font-size: 1.8em; } .main-result { font-size: 2.8em; font-weight: bold; margin-bottom: 10px; display: inline-block; padding: 10px 20px; border-radius: 5px; background-color: rgba(255, 255, 255, 0.2); } .intermediate-results div { margin-top: 15px; font-size: 1.1em; } .intermediate-results span { font-weight: bold; color: rgba(255, 255, 255, 0.9); } .formula-explanation { font-size: 0.95em; color: rgba(255, 255, 255, 0.8); margin-top: 20px; padding-top: 15px; border-top: 1px solid rgba(255, 255, 255, 0.2); } .table-responsive { overflow-x: auto; } table { width: 100%; border-collapse: collapse; margin-top: 25px; box-shadow: 0 2px 5px rgba(0, 0, 0, 0.05); } table caption { font-size: 1.1em; font-weight: bold; color: var(–primary-color); margin-bottom: 10px; text-align: left; } th, td { padding: 12px 15px; border: 1px solid var(–border-color); text-align: right; } th { background-color: var(–primary-color); color: white; font-weight: bold; } td { background-color: var(–card-background); } tr:nth-child(even) td { background-color: #f2f2f2; } #chartContainer { width: 100%; text-align: center; margin-top: 30px; background-color: var(–card-background); padding: 20px; border-radius: 8px; box-shadow: 0 2px 10px rgba(0, 0, 0, 0.05); } #chartContainer canvas { max-width: 100%; height: auto; } .chart-caption { font-size: 1em; color: #6c757d; margin-top: 10px; } .article-content { margin-top: 40px; text-align: left; } .article-content p, .article-content ul, .article-content ol { margin-bottom: 20px; font-size: 1.05em; } .article-content ul, .article-content ol { padding-left: 30px; } .article-content li { margin-bottom: 10px; } .article-content a { color: var(–primary-color); text-decoration: none; font-weight: bold; } .article-content a:hover { text-decoration: underline; } .faq-section { background-color: var(–card-background); padding: 25px; border-radius: 8px; margin-top: 30px; box-shadow: 0 2px 10px rgba(0, 0, 0, 0.05); } .faq-section h3 { color: var(–primary-color); text-align: center; margin-bottom: 25px; } .faq-item { margin-bottom: 15px; border-bottom: 1px dashed var(–border-color); padding-bottom: 10px; } .faq-item:last-child { border-bottom: none; } .faq-question { font-weight: bold; color: var(–primary-color); cursor: pointer; position: relative; padding-left: 25px; } .faq-question::before { content: '+'; position: absolute; left: 0; top: 0; font-size: 1.2em; color: var(–primary-color); transition: transform 0.3s ease; } .faq-answer { display: none; margin-top: 10px; padding-left: 25px; font-size: 0.95em; color: #555; } .faq-item.open .faq-question::before { transform: rotate(45deg); } .faq-item.open .faq-answer { display: block; } .related-links { background-color: var(–card-background); padding: 25px; border-radius: 8px; margin-top: 30px; box-shadow: 0 2px 10px rgba(0, 0, 0, 0.05); } .related-links h3 { color: var(–primary-color); text-align: center; margin-bottom: 25px; } .related-links ul { list-style: none; padding: 0; margin: 0; } .related-links li { margin-bottom: 15px; } .related-links a { font-weight: bold; color: var(–primary-color); text-decoration: none; } .related-links a:hover { text-decoration: underline; } .related-links span { display: block; font-size: 0.9em; color: #6c757d; margin-top: 5px; } @media (min-width: 768px) { .button-group { justify-content: flex-start; } }

How to Calculate Ending Inventory Using Weighted Average Cost

Effectively manage your stock by accurately determining the value of your remaining inventory with the weighted average cost method. Our calculator simplifies this process, providing clear insights.

Weighted Average Inventory Calculator

The total cost of inventory at the start of the period.
The total number of units in stock at the start of the period.
The sum of the costs of all inventory purchased during the period.
The total number of units purchased during the period.
The total number of inventory units sold during the period.

Ending Inventory Value (Weighted Average)

Weighted Average Cost per Unit:
Cost of Goods Available for Sale:
Ending Inventory Units:
Formula: (Beginning Inventory Cost + Total Purchases Cost) / (Beginning Inventory Units + Total Units Purchased) = Weighted Average Cost per Unit. Ending Inventory Value = Weighted Average Cost per Unit * Ending Inventory Units.

What is the Weighted Average Cost Method for Ending Inventory?

{primary_keyword} is an inventory valuation method used by businesses to account for inventory items that are not individually distinct. Under this method, the cost of all inventory available for sale during a period is averaged, and this average cost is then used to determine the cost of goods sold and the value of ending inventory. This approach is particularly useful when dealing with large volumes of identical items purchased at different prices over time.

Businesses that typically use the {primary_keyword} method include retailers, wholesalers, and manufacturers dealing with homogenous goods like grains, liquids, small electronic components, or fasteners. Its appeal lies in its simplicity and its ability to smooth out price fluctuations, providing a more stable cost figure compared to methods like FIFO (First-In, First-Out) or LIFO (Last-In, First-Out) when prices are volatile.

A common misconception is that the weighted average cost method always reflects the actual cost of the last items purchased. This is not true; it's an average cost applied across all available inventory. Another misunderstanding is that it's only for physical goods. While most common for tangible inventory, the principle can be applied to other cost pools if needed.

{primary_keyword} Formula and Mathematical Explanation

The {primary_keyword} method involves a straightforward calculation. First, we determine the weighted average cost per unit, and then we use that to calculate the value of the ending inventory.

Step 1: Calculate the Weighted Average Cost per Unit

This is the core of the method. You sum the total cost of all inventory available for sale (beginning inventory plus all purchases) and divide it by the total number of units available for sale.

Formula:

Weighted Average Cost (WAC) per Unit = (Total Cost of Goods Available for Sale) / (Total Units Available for Sale)

Where:

  • Total Cost of Goods Available for Sale = Beginning Inventory Cost + Total Cost of Purchases
  • Total Units Available for Sale = Beginning Inventory Units + Total Units Purchased

Step 2: Calculate the Ending Inventory Value

Once you have the weighted average cost per unit, you multiply it by the number of units remaining in inventory at the end of the period.

Formula:

Ending Inventory Value = Weighted Average Cost per Unit * Ending Inventory Units

The Ending Inventory Units is calculated as: Beginning Inventory Units + Total Units Purchased – Units Sold.

Variable Explanations

Variables Used in Weighted Average Cost Calculation
Variable Meaning Unit Typical Range
Beginning Inventory Cost Total cost of inventory on hand at the start of an accounting period. Currency (e.g., USD) $0 to millions
Beginning Inventory Units Number of inventory units on hand at the start of an accounting period. Units 0 to millions
Total Cost of Purchases Aggregate cost of all inventory acquired during the accounting period. Currency (e.g., USD) $0 to millions
Total Units Purchased Aggregate number of inventory units acquired during the accounting period. Units 0 to millions
Units Sold Number of inventory units sold to customers during the period. Units 0 to total units available
Weighted Average Cost per Unit The average cost of each unit of inventory after considering all purchases. Currency per Unit (e.g., USD/Unit) Typically between the lowest and highest purchase costs.
Ending Inventory Units Number of inventory units remaining in stock at the end of the period. Units 0 to total units available
Ending Inventory Value The total cost of inventory remaining on hand at the end of the period, valued at the weighted average cost. Currency (e.g., USD) $0 to millions

Practical Examples (Real-World Use Cases)

Example 1: A Small Electronics Retailer

A small shop selling USB drives starts the month with 100 units valued at $500 ($5 per unit). During the month, they make two purchases:

  • Purchase 1: 200 units at $6 per unit (Total cost: $1200)
  • Purchase 2: 150 units at $7 per unit (Total cost: $1050)
They sell a total of 400 units during the month.

Calculation:

  • Total Cost of Goods Available = $500 (beginning) + $1200 (purchase 1) + $1050 (purchase 2) = $2750
  • Total Units Available = 100 (beginning) + 200 (purchase 1) + 150 (purchase 2) = 450 units
  • Weighted Average Cost per Unit = $2750 / 450 units = $6.11 (approx.)
  • Ending Inventory Units = 450 units – 400 units sold = 50 units
  • Ending Inventory Value = $6.11/unit * 50 units = $305.50 (approx.)

Interpretation: The ending inventory of 50 units is valued at approximately $305.50 using the weighted average method. This smooths out the varying purchase costs of $5, $6, and $7.

Example 2: A Grocery Store Selling Flour

A grocery store begins the week with 50 bags of flour, costing $400 ($8 per bag). They purchase 100 more bags at $9 per bag (Total cost: $900) and then sell 120 bags during the week.

Calculation:

  • Total Cost of Goods Available = $400 (beginning) + $900 (purchase) = $1300
  • Total Units Available = 50 bags (beginning) + 100 bags (purchase) = 150 bags
  • Weighted Average Cost per Unit = $1300 / 150 bags = $8.67 (approx.)
  • Ending Inventory Units = 150 bags – 120 bags sold = 30 bags
  • Ending Inventory Value = $8.67/bag * 30 bags = $260.10 (approx.)

Interpretation: The remaining 30 bags of flour are valued at $260.10. This reflects an average cost of $8.67 per bag, incorporating both the initial $8 cost and the $9 purchase price.

How to Use This Weighted Average Inventory Calculator

Our calculator is designed for ease of use, providing instant results for your inventory valuation needs. Follow these simple steps:

  1. Enter Beginning Inventory: Input the total cost and the number of units you had in stock at the start of the accounting period.
  2. Enter Purchase Details: Provide the total cost and the number of units for all inventory purchases made during the period.
  3. Enter Units Sold: Input the total number of inventory units that were sold to customers.
  4. Calculate: Click the "Calculate" button.

How to Read Results:

  • Ending Inventory Value: This is the primary result, showing the total cost of the inventory remaining in your stock at the end of the period, calculated using the weighted average cost method.
  • Weighted Average Cost per Unit: This shows the average cost for each unit of inventory available for sale during the period.
  • Cost of Goods Available for Sale: This is the total value of all inventory that could have been sold.
  • Ending Inventory Units: This displays the number of units left in stock.

Decision-Making Guidance:

The calculated ending inventory value is crucial for several financial reporting and decision-making processes. It directly impacts your Cost of Goods Sold (COGS), gross profit, and net income on your income statement. It also forms the basis for the inventory asset value on your balance sheet. Accurate inventory valuation ensures your financial statements reflect the true economic position of your business. Use these figures to inform purchasing decisions, pricing strategies, and inventory management practices.

Key Factors That Affect Ending Inventory Results

While the {primary_keyword} formula is straightforward, several external and internal factors can influence the inputs and, consequently, the ending inventory value:

  1. Purchase Price Fluctuations: If the cost of acquiring inventory varies significantly due to market conditions, supplier changes, or bulk discounts, the weighted average cost will fluctuate accordingly. Higher purchase costs will lead to a higher average cost and thus a higher ending inventory valuation (assuming units sold remain constant).
  2. Volume of Purchases: A large influx of inventory purchased at a significantly different price point than the beginning inventory will heavily influence the weighted average cost. Buying many units at a higher price will pull the average up, and vice-versa.
  3. Sales Volume: The number of units sold directly affects the ending inventory units. If sales volume increases, ending inventory decreases, impacting the final inventory value. A high rate of sales turnover can reduce the amount of inventory held.
  4. Returns and Allowances: If customers return goods, these units are added back to inventory. If the cost at which they were sold differs from the cost at which they are returned (or the WAC), it can slightly complicate calculations, though typically they are added back at their original cost or current WAC. Similarly, purchase returns to suppliers reduce inventory.
  5. Inventory Shrinkage: This refers to inventory loss due to theft, damage, or obsolescence. If shrinkage is not accounted for, the physical count of ending inventory units will be lower than the calculated amount, leading to an inaccurate valuation. Proper inventory control is vital.
  6. Accounting Period Length: The duration of the accounting period (e.g., monthly, quarterly, annually) determines how many purchase transactions are averaged. A longer period might include more varied price points, leading to a more stable but potentially less representative average cost compared to a shorter period.
  7. Cost of Capital: While not directly in the formula, the cost of capital influences purchasing decisions. Holding excess inventory ties up capital, so businesses consider financing costs when making purchase decisions, indirectly affecting the volume and timing of inventory acquisition. Understanding working capital management is key.
  8. Inflation and Deflation: Broader economic trends like inflation will naturally drive up the cost of inventory over time. The weighted average method helps smooth these effects, but the ending inventory valuation will generally reflect inflationary pressures.

Frequently Asked Questions (FAQ)

What is the main advantage of the weighted average cost method?
The primary advantage is its simplicity and objectivity, especially when inventory items are indistinguishable. It smooths out price fluctuations, preventing extreme valuations that might occur with FIFO or LIFO during periods of significant price volatility. It also reduces the potential for inventory manipulation.
When is the weighted average cost method NOT suitable?
It's less suitable when tracking the specific costs of individual inventory items is important for pricing or profitability analysis, or when inventory is highly perishable and older stock must be sold first (where FIFO might be more appropriate). It also doesn't accurately reflect the most recent purchase costs.
How does the weighted average cost method affect Cost of Goods Sold (COGS)?
COGS is calculated as: Cost of Goods Available for Sale – Ending Inventory Value. Using the weighted average method, COGS will be an average cost, reflecting the blended cost of all inventory sold during the period. This can lead to a more stable COGS figure compared to FIFO/LIFO in fluctuating markets.
Does the weighted average method require a periodic or perpetual inventory system?
The weighted average cost method can be used with both periodic and perpetual inventory systems. However, the calculation differs slightly. In a perpetual system (moving average), the average cost is recalculated after each purchase. In a periodic system, the average cost is calculated only once at the end of the period, based on total costs and units. Our calculator uses the periodic approach for simplicity.
What happens if I purchase inventory at zero cost?
If you acquire inventory at zero cost, it will reduce your total cost of goods available but increase the total units available. This will lower the weighted average cost per unit. Ensure accurate data entry for all transactions.
How do returns from customers impact the calculation?
When a customer returns an item, it's added back to inventory. For the weighted average method, the returned unit(s) are typically valued at the weighted average cost that was in effect when they were sold. This reduces the Cost of Goods Sold and increases the ending inventory value.
Can transportation costs be included?
Yes, transportation costs (freight-in) incurred to bring inventory to a sellable condition and location are considered part of the inventory cost. They should be added to the purchase cost when calculating the Total Cost of Purchases.
How does this method compare to FIFO for tax purposes?
In times of rising prices, FIFO typically results in a lower COGS and higher ending inventory, leading to higher taxable income and potentially higher taxes. Weighted average cost tends to fall between FIFO and LIFO, offering a more moderate taxable income. Tax regulations vary, so consult a tax professional.

© 2023 Your Company Name. All rights reserved.

function validateInput(id, errorId, minValue = 0, maxValue = Infinity, allowDecimal = true) { var input = document.getElementById(id); var errorElement = document.getElementById(errorId); var value = parseFloat(input.value); if (isNaN(value)) { errorElement.textContent = "Please enter a valid number."; input.style.borderColor = 'var(–error-color)'; return false; } if (value maxValue) { errorElement.textContent = "Value is too high."; input.style.borderColor = 'var(–error-color)'; return false; } errorElement.textContent = ""; input.style.borderColor = 'var(–border-color)'; return true; } function calculateInventory() { var errors = 0; if (!validateInput('beginningInventoryCost', 'errBeginningInventoryCost')) errors++; if (!validateInput('beginningInventoryUnits', 'errBeginningInventoryUnits', 0, Infinity, false)) errors++; if (!validateInput('purchasesCost', 'errPurchasesCost')) errors++; if (!validateInput('purchasesUnits', 'errPurchasesUnits', 0, Infinity, false)) errors++; if (!validateInput('unitsSold', 'errUnitsSold', 0, Infinity, false)) errors++; if (errors > 0) { document.getElementById('mainResult').textContent = '–'; document.getElementById('weightedAverageCost').querySelector('span').textContent = '–'; document.getElementById('totalCostOfGoodsAvailable').querySelector('span').textContent = '–'; document.getElementById('endingInventoryUnits').querySelector('span').textContent = '–'; updateChart([], []); return; } var beginningInventoryCost = parseFloat(document.getElementById('beginningInventoryCost').value); var beginningInventoryUnits = parseInt(document.getElementById('beginningInventoryUnits').value); var purchasesCost = parseFloat(document.getElementById('purchasesCost').value); var purchasesUnits = parseInt(document.getElementById('purchasesUnits').value); var unitsSold = parseInt(document.getElementById('unitsSold').value); var totalCostGoodsAvailable = beginningInventoryCost + purchasesCost; var totalUnitsAvailable = beginningInventoryUnits + purchasesUnits; var weightedAverageCost = 0; if (totalUnitsAvailable > 0) { weightedAverageCost = totalCostGoodsAvailable / totalUnitsAvailable; } var endingInventoryUnits = totalUnitsAvailable – unitsSold; if (endingInventoryUnits < 0) { document.getElementById('errUnitsSold').textContent = "Units sold cannot exceed total units available."; document.getElementById('unitsSold').style.borderColor = 'var(–error-color)'; endingInventoryUnits = 0; // Set to 0 to prevent negative ending units in calculation } else { document.getElementById('unitsSold').style.borderColor = 'var(–border-color)'; } var endingInventoryValue = weightedAverageCost * endingInventoryUnits; document.getElementById('mainResult').textContent = '$' + endingInventoryValue.toFixed(2); document.getElementById('weightedAverageCost').querySelector('span').textContent = '$' + weightedAverageCost.toFixed(2); document.getElementById('totalCostOfGoodsAvailable').querySelector('span').textContent = '$' + totalCostGoodsAvailable.toFixed(2); document.getElementById('endingInventoryUnits').querySelector('span').textContent = endingInventoryUnits; updateChart( ['Beginning Inventory', 'Purchases', 'Ending Inventory'], [beginningInventoryCost, purchasesCost, endingInventoryValue], ['Units Available', beginningInventoryUnits, purchasesUnits, endingInventoryUnits] ); } function resetCalculator() { document.getElementById('beginningInventoryCost').value = 10000; document.getElementById('beginningInventoryUnits').value = 100; document.getElementById('purchasesCost').value = 30000; document.getElementById('purchasesUnits').value = 250; document.getElementById('unitsSold').value = 280; // Clear errors document.getElementById('errBeginningInventoryCost').textContent = ""; document.getElementById('beginningInventoryCost').style.borderColor = 'var(–border-color)'; document.getElementById('errBeginningInventoryUnits').textContent = ""; document.getElementById('beginningInventoryUnits').style.borderColor = 'var(–border-color)'; document.getElementById('errPurchasesCost').textContent = ""; document.getElementById('purchasesCost').style.borderColor = 'var(–border-color)'; document.getElementById('errPurchasesUnits').textContent = ""; document.getElementById('purchasesUnits').style.borderColor = 'var(–border-color)'; document.getElementById('errUnitsSold').textContent = ""; document.getElementById('unitsSold').style.borderColor = 'var(–border-color)'; calculateInventory(); // Recalculate with reset values } function copyResults() { var mainResult = document.getElementById('mainResult').textContent; var wac = document.getElementById('weightedAverageCost').querySelector('span').textContent; var cogsAvailable = document.getElementById('totalCostOfGoodsAvailable').querySelector('span').textContent; var endUnits = document.getElementById('endingInventoryUnits').querySelector('span').textContent; var copyText = "Weighted Average Inventory Results:\n\n"; copyText += "Ending Inventory Value: " + mainResult + "\n"; copyText += "Weighted Average Cost per Unit: " + wac + "\n"; copyText += "Cost of Goods Available for Sale: " + cogsAvailable + "\n"; copyText += "Ending Inventory Units: " + endUnits + "\n\n"; copyText += "Key Assumptions:\n"; copyText += "Beginning Inventory Cost: $" + document.getElementById('beginningInventoryCost').value + "\n"; copyText += "Beginning Inventory Units: " + document.getElementById('beginningInventoryUnits').value + "\n"; copyText += "Total Purchases Cost: $" + document.getElementById('purchasesCost').value + "\n"; copyText += "Total Units Purchased: " + document.getElementById('purchasesUnits').value + "\n"; copyText += "Units Sold: " + document.getElementById('unitsSold').value + "\n"; var textArea = document.createElement("textarea"); textArea.value = copyText; textArea.style.position = "fixed"; textArea.style.left = "-9999px"; document.body.appendChild(textArea); textArea.focus(); textArea.select(); try { var successful = document.execCommand('copy'); var msg = successful ? 'Results copied successfully!' : 'Failed to copy results.'; alert(msg); // Simple feedback } catch (err) { alert('Oops, unable to copy'); } document.body.removeChild(textArea); } function updateChart(labelsArray, dataArray, unitsDataArray) { var ctx = document.getElementById("inventoryChart").getContext("2d"); if (window.inventoryChartInstance) { window.inventoryChartInstance.destroy(); } window.inventoryChartInstance = new Chart(ctx, { type: 'bar', data: { labels: labelsArray, datasets: [{ label: 'Inventory Value ($)', data: dataArray, backgroundColor: [ 'rgba(0, 74, 153, 0.6)', // Beginning Inventory 'rgba(40, 167, 69, 0.6)', // Purchases 'rgba(255, 193, 7, 0.6)' // Ending Inventory ], borderColor: [ 'rgba(0, 74, 153, 1)', 'rgba(40, 167, 69, 1)', 'rgba(255, 193, 7, 1)' ], borderWidth: 1 }] }, options: { responsive: true, maintainAspectRatio: true, scales: { y: { beginAtZero: true, title: { display: true, text: 'Value ($)' } }, x: { title: { display: true, text: 'Inventory Stage' } } }, plugins: { legend: { display: true, position: 'top', }, title: { display: true, text: 'Inventory Valuation Breakdown', font: { size: 16 } }, tooltip: { callbacks: { label: function(context) { var label = context.dataset.label || ''; if (label) { label += ': '; } if (context.parsed.y !== null) { label += new Intl.NumberFormat('en-US', { style: 'currency', currency: 'USD' }).format(context.parsed.y); } // Add unit information if available if (unitsDataArray && context.dataIndex < unitsDataArray.length) { label += ' (' + unitsDataArray[context.dataIndex] + ' units)'; } return label; } } } } } }); } // Initialize chart with default or empty state document.addEventListener('DOMContentLoaded', function() { var chartContainer = document.createElement('div'); chartContainer.id = 'chartContainer'; var canvas = document.createElement('canvas'); canvas.id = 'inventoryChart'; chartContainer.appendChild(canvas); var caption = document.createElement('p'); caption.className = 'chart-caption'; caption.textContent = 'Visual representation of inventory costs and values.'; chartContainer.appendChild(caption); document.querySelector('.calculator-section').insertAdjacentElement('afterend', chartContainer); updateChart([], [], []); // Initialize chart // Add event listeners for FAQ toggles var faqItems = document.querySelectorAll('.faq-item'); faqItems.forEach(function(item) { var question = item.querySelector('.faq-question'); question.addEventListener('click', function() { item.classList.toggle('open'); }); }); // Initial calculation on load calculateInventory(); });

Leave a Comment