How to Calculate Weighted Average for Inventory

How to Calculate Weighted Average for Inventory – Free Calculator :root { –primary-color: #004a99; –success-color: #28a745; –background-color: #f8f9fa; –text-color: #333; –border-color: #ccc; –light-gray: #e9ecef; –white: #fff; } body { font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; background-color: var(–background-color); color: var(–text-color); line-height: 1.6; margin: 0; padding: 0; display: flex; flex-direction: column; align-items: center; } .container { width: 100%; max-width: 1000px; margin: 20px auto; padding: 25px; background-color: var(–white); box-shadow: 0 2px 10px rgba(0, 0, 0, 0.1); border-radius: 8px; display: flex; flex-direction: column; align-items: center; } h1, h2, h3 { color: var(–primary-color); text-align: center; margin-bottom: 15px; } h1 { font-size: 2.2em; } h2 { font-size: 1.8em; } h3 { font-size: 1.4em; } .intro-summary { text-align: center; margin-bottom: 30px; font-size: 1.1em; color: #555; } .loan-calc-container { width: 100%; max-width: 600px; 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How to Calculate Weighted Average for Inventory

Streamline your inventory valuation and cost of goods sold (COGS) with our intuitive Weighted Average Inventory Calculator. Understand your costs, optimize stock levels, and improve profitability.

Weighted Average Inventory Calculator

Enter the details of your inventory purchases and sales to calculate the weighted average cost.

The number of units you had in stock at the start of the period.
The total cost of your beginning inventory (Quantity * Unit Cost).

Purchases

Number of units purchased in this lot.
Total cost for this purchase lot.
Number of units purchased in this lot.
Total cost for this purchase lot.
Total number of units sold during the period.

Calculation Results

Total Units Available
Total Cost of Goods
Ending Inventory Value

The Weighted Average Cost is calculated by dividing the Total Cost of Goods Available for Sale by the Total Units Available for Sale.

Inventory Cost Distribution

Inventory Transactions
Type Quantity Unit Cost Total Cost
Beginning Inventory
Purchase 1
Purchase 2
Units Sold
Total Available
Total Cost Available
Weighted Avg. Cost
Ending Inventory Value

What is Weighted Average Inventory Cost?

The weighted average inventory cost method is an inventory valuation technique used by businesses to account for inventory. It calculates the average cost of all inventory items on hand, regardless of when they were purchased. This average cost is then used to determine the cost of goods sold (COGS) and the value of remaining inventory. Unlike methods like FIFO (First-In, First-Out) or LIFO (Last-In, First-Out), the weighted average method smooths out cost fluctuations, providing a more stable valuation, especially in periods of rising or falling prices. It's particularly useful for businesses dealing with fungible goods where individual units are indistinguishable.

Who Should Use It?

Businesses that hold large quantities of inventory, especially those dealing with identical or interchangeable products, benefit significantly from the weighted average inventory cost method. This includes retailers, wholesalers, manufacturers, and distributors. If your inventory costs vary frequently due to multiple purchase lots at different price points, the weighted average method can simplify your accounting and provide a more representative cost figure. It's often chosen for its simplicity in calculation and its ability to prevent significant profit distortions caused by extreme price swings in a short period.

Common Misconceptions

  • Misconception: It's the same as simple average. This is incorrect. A simple average would just add up the unit costs of different purchases and divide by the number of purchases. The weighted average considers the *quantity* purchased at each cost, giving more weight to larger purchases.
  • Misconception: It always results in a cost between FIFO and LIFO. While often true, it's not a strict rule. The actual result depends heavily on the quantity and cost of each specific purchase transaction.
  • Misconception: It's only for physical goods. While most commonly associated with physical inventory, the principle can be adapted for valuing certain intangible assets or units of service if they are acquired at varying costs.
  • Misconception: It requires complex software. Our calculator demonstrates that calculating the weighted average inventory cost can be straightforward with the right tools.

Weighted Average Inventory Cost Formula and Mathematical Explanation

The core idea behind the weighted average cost method is to find a single, representative cost for all inventory items available for sale. This is achieved by pooling the costs of all available inventory and dividing by the total number of units available.

Step-by-Step Derivation

  1. Calculate Total Cost of Goods Available for Sale: Sum the cost of your beginning inventory with the costs of all subsequent purchases made during the accounting period.
  2. Calculate Total Units Available for Sale: Sum the quantity of your beginning inventory with the quantities of all subsequent purchases.
  3. Calculate Weighted Average Cost Per Unit: Divide the Total Cost of Goods Available for Sale by the Total Units Available for Sale.

The Formula

The primary formula for the weighted average cost per unit is:

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

Variable Explanations

Let's break down the components:

Variables Used in Weighted Average Calculation
Variable Meaning Unit Typical Range
Beginning Inventory Quantity (BIQ) Number of units in stock at the start of the period. Units ≥ 0
Beginning Inventory Cost (BIC) Total monetary value of the beginning inventory. Currency ($) ≥ 0
Purchase Quantity (PQ) Number of units acquired in a specific purchase lot. Units > 0
Purchase Cost (PC) Total monetary value of a specific purchase lot. Currency ($) ≥ 0
Sales Quantity (SQ) Number of units sold during the period. Units ≥ 0
Total Cost of Goods Available for Sale (TC) Sum of BIC and all PCs. Currency ($) ≥ 0
Total Units Available for Sale (TU) Sum of BIQ and all PQs. Units ≥ 0
Weighted Average Cost (WAC) Average cost per unit of all available inventory. Currency ($) per Unit ≥ 0
Ending Inventory Value (EIV) Value of remaining inventory based on WAC. Currency ($) ≥ 0

Calculation Recap:

TC = BIC + (Sum of all PCs)

TU = BIQ + (Sum of all PQs)

WAC = TC / TU

Ending Inventory Quantity = TU - SQ

EIV = Ending Inventory Quantity * WAC

Note: The Cost of Goods Sold (COGS) is typically calculated as SQ * WAC.

Practical Examples (Real-World Use Cases)

Example 1: Retail Store with Fluctuating Purchase Prices

A small electronics store starts the month with 50 units of a popular smartphone model, purchased at a total cost of $20,000 ($400 per unit). During the month, they make two additional purchases:

  • Purchase 1: 100 units at a total cost of $45,000 ($450 per unit).
  • Purchase 2: 75 units at a total cost of $39,375 ($525 per unit).

By the end of the month, the store has sold 150 units.

Calculation:

  • Beginning Inventory: 50 units, $20,000
  • Purchase 1: 100 units, $45,000
  • Purchase 2: 75 units, $39,375
  • Total Units Available: 50 + 100 + 75 = 225 units
  • Total Cost Available: $20,000 + $45,000 + $39,375 = $104,375
  • Weighted Average Cost (WAC): $104,375 / 225 units = $463.89 per unit (approx.)
  • Units Sold: 150 units
  • Cost of Goods Sold (COGS): 150 units * $463.89/unit = $69,583.50
  • Ending Inventory Quantity: 225 units – 150 units = 75 units
  • Ending Inventory Value (EIV): 75 units * $463.89/unit = $34,791.75

Using the calculator with these inputs would yield a WAC of approximately $463.89.

Example 2: Manufacturer with Bulk Purchases

A furniture manufacturer has 200 units of wood lumber in stock, with a total cost of $6,000 ($30 per unit). They then purchase more lumber in two separate orders:

  • Purchase 1: 500 units at a total cost of $16,500 ($33 per unit).
  • Purchase 2: 300 units at a total cost of $9,900 ($33 per unit).

During the production cycle, they use 600 units of this lumber.

Calculation:

  • Beginning Inventory: 200 units, $6,000
  • Purchase 1: 500 units, $16,500
  • Purchase 2: 300 units, $9,900
  • Total Units Available: 200 + 500 + 300 = 1000 units
  • Total Cost Available: $6,000 + $16,500 + $9,900 = $32,400
  • Weighted Average Cost (WAC): $32,400 / 1000 units = $32.40 per unit
  • Units Used (Equivalent to Sold): 600 units
  • Cost of Goods Used (COGS): 600 units * $32.40/unit = $19,440
  • Ending Inventory Quantity: 1000 units – 600 units = 400 units
  • Ending Inventory Value (EIV): 400 units * $32.40/unit = $12,960

The calculator would show a WAC of $32.40 per unit for the lumber. This consistent cost helps in accurate production costing.

How to Use This Weighted Average Inventory Calculator

Our calculator is designed for ease of use. Follow these simple steps to get your inventory cost:

Step-by-Step Instructions

  1. Enter Beginning Inventory: Input the quantity of inventory you had on hand at the start of the period and its total cost.
  2. Add Purchases: For each purchase lot made during the period, enter the quantity of units acquired and the total cost for that specific lot. You can add multiple purchase entries.
  3. Enter Units Sold: Input the total number of units that were sold (or used in production) during the period.
  4. Calculate: Click the "Calculate" button.

How to Read Results

  • Weighted Average Cost (Main Result): This is the primary output, showing the average cost per unit of all inventory available for sale.
  • Total Units Available: The sum of your beginning inventory and all purchases.
  • Total Cost of Goods: The total cost of all inventory available for sale (sum of beginning inventory cost and all purchase costs).
  • Ending Inventory Value: The value of the inventory remaining on hand, calculated using the weighted average cost.
  • Transaction Table: Provides a detailed breakdown of each inventory movement.
  • Chart: Visually represents the cost distribution of your inventory purchases.

Decision-Making Guidance

The weighted average cost provides a stable metric for inventory valuation. Use it to:

  • Accurately determine your Cost of Goods Sold (COGS) for profit and loss statements.
  • Value your ending inventory for balance sheet reporting.
  • Analyze profitability by comparing sales revenue against the calculated COGS.
  • Make informed pricing decisions based on a reliable cost basis.
  • Identify trends in inventory costs over time. A rising WAC might signal inflationary pressures or changes in supplier pricing, prompting a review of purchasing strategies or potential price adjustments for your products.

Key Factors That Affect Weighted Average Inventory Results

Several factors can influence your calculated weighted average inventory cost and its implications:

  1. Purchase Price Variations: The most direct impact. Higher purchase prices increase the overall cost pool, raising the WAC. Conversely, lower purchase prices decrease it. Frequent and significant price changes will lead to more volatile WAC figures.
  2. Purchase Quantities: The volume of each purchase matters. A large purchase at a slightly higher price can significantly skew the WAC upwards compared to multiple small purchases at the same higher price. This is the "weighting" aspect of the calculation.
  3. Beginning Inventory: The initial cost and quantity set the starting point. A high-value beginning inventory can moderate the impact of subsequent lower-cost purchases, and vice-versa.
  4. Sales Volume (or Usage): While not directly affecting the WAC calculation itself (which is based on goods *available*), sales volume significantly impacts the Ending Inventory Value and COGS derived from the WAC. High sales deplete inventory faster, potentially leaving a smaller portion valued at the most recent WAC.
  5. Returns and Allowances: Purchase returns (returning goods to the supplier) reduce the total cost and quantity available, thus lowering the WAC. Sales returns (customers returning goods) increase the quantity available and their associated cost, potentially affecting future WAC calculations if not managed carefully.
  6. Shrinkage and Spoilage: Unaccounted losses (theft, damage, obsolescence) reduce the actual physical inventory. If not adjusted for, the calculated ending inventory value might be higher than the actual worth, leading to discrepancies. Proper cycle counts and adjustments are crucial.
  7. Bulk Discounts and Rebates: These effectively lower the 'Purchase Cost'. Failing to account for them will inflate the WAC. Ensure all net costs are used in the calculation.
  8. Currency Fluctuations (for international purchases): If purchasing inventory in foreign currencies, exchange rate changes between the purchase order date and payment date can alter the actual cost in your reporting currency, impacting the WAC.

Frequently Asked Questions (FAQ)

  • Q1: How is the weighted average cost different from FIFO or LIFO?

    FIFO assumes the first items purchased are the first ones sold, valuing ending inventory at the most recent costs. LIFO assumes the last items purchased are sold first, valuing ending inventory at the oldest costs. The weighted average method uses an average cost for all units, smoothing out price fluctuations and providing a middle-ground valuation.

  • Q2: When should a business switch inventory valuation methods?

    Switching methods is permissible but requires justification and disclosure. Businesses might switch if their inventory operations change significantly, or if they believe another method provides a more accurate financial picture. It's essential to consult accounting standards and potentially tax advisors.

  • Q3: Does the weighted average method require recalculation after every purchase?

    Yes, under the periodic weighted average method, the average cost is recalculated only when a new purchase is made. Under the perpetual weighted average method (which our calculator simulates for simplicity), the average cost is updated after each purchase, and the cost of goods sold is based on this continuously updated average.

  • Q4: What happens if I have zero beginning inventory?

    If you have zero beginning inventory, the calculation simplifies. The Total Cost Available becomes the sum of all purchase costs, and Total Units Available becomes the sum of all purchased units. The WAC is then simply the average cost of your purchases.

  • Q5: Can the weighted average cost be negative?

    No, costs are typically non-negative. Unless there are specific credits or complex financial instruments involved that are outside standard inventory costing, the weighted average cost will be zero or positive.

  • Q6: How does the weighted average inventory impact taxes?

    The inventory valuation method affects your reported Cost of Goods Sold (COGS), which in turn impacts your gross profit and taxable income. In periods of rising prices, weighted average and FIFO generally result in higher net income and thus higher taxes compared to LIFO (where allowed). Tax implications are complex and vary by jurisdiction.

  • Q7: What is the best inventory valuation method?

    There isn't a single "best" method for all businesses. The most appropriate method depends on the industry, the type of inventory, cost flow assumptions, and reporting requirements. The weighted average method offers simplicity and stability.

  • Q8: How do I handle purchase returns with the weighted average method?

    When you return goods to a supplier, you should reduce both the total cost of goods available and the total units available by the amount returned. This will adjust the weighted average cost downward. Our calculator doesn't directly support returns but this adjustment is crucial for accurate accounting.

Related Tools and Internal Resources

var initialQuantityInput = document.getElementById('initialQuantity'); var initialCostInput = document.getElementById('initialCost'); var salesQuantityInput = document.getElementById('salesQuantity'); var purchaseQuantityInputs = document.getElementsByClassName('purchase-quantity'); var purchaseCostInputs = document.getElementsByClassName('purchase-cost'); var resultsContainer = document.getElementById('resultsContainer'); var weightedAverageCostOutput = document.getElementById('weightedAverageCost'); var totalUnitsAvailableOutput = document.getElementById('totalUnitsAvailable'); var totalCostOfGoodsOutput = document.getElementById('totalCostOfGoods'); var endingInventoryValueOutput = document.getElementById('endingInventoryValue'); var chart; var chartData = { labels: [], datasets: [{ label: 'Purchase Cost ($)', data: [], backgroundColor: 'rgba(0, 74, 153, 0.6)', // Primary color tint borderColor: 'rgba(0, 74, 153, 1)', borderWidth: 1 }, { label: 'Weighted Average Cost ($)', data: [], backgroundColor: 'rgba(40, 167, 69, 0.6)', // Success color tint borderColor: 'rgba(40, 167, 69, 1)', borderWidth: 1 }] }; var ctx = document.getElementById('inventoryCostChart').getContext('2d'); // Table elements var tableInitialQuantity = document.getElementById('tableInitialQuantity'); var tableInitialUnitCost = document.getElementById('tableInitialUnitCost'); var tableInitialCost = document.getElementById('tableInitialCost'); var tablePurchaseQuantity1 = document.getElementById('tablePurchaseQuantity1'); var tablePurchaseUnitCost1 = document.getElementById('tablePurchaseUnitCost1'); var tablePurchaseCost1 = document.getElementById('tablePurchaseCost1'); var tablePurchaseQuantity2 = document.getElementById('tablePurchaseQuantity2'); var tablePurchaseUnitCost2 = document.getElementById('tablePurchaseUnitCost2'); var tablePurchaseCost2 = document.getElementById('tablePurchaseCost2'); var tableSalesQuantity = document.getElementById('tableSalesQuantity'); var tableTotalUnitsAvailable = document.getElementById('tableTotalUnitsAvailable'); var tableTotalCostAvailable = document.getElementById('tableTotalCostAvailable'); var tableWeightedAvgCost = document.getElementById('tableWeightedAvgCost'); var tableEndingInventoryValue = document.getElementById('tableEndingInventoryValue'); function formatCurrency(amount) { return amount.toLocaleString('en-US', { style: 'currency', currency: 'USD' }); } function formatNumber(number) { return number.toLocaleString(undefined, { minimumFractionDigits: 2, maximumFractionDigits: 2 }); } function validateInput(element, errorElement, min = -Infinity, max = Infinity, isInteger = false) { var value = element.value.trim(); var errorMsg = "; errorElement.style.display = 'none'; if (value === ") { errorMsg = 'This field is required.'; } else { var numValue = parseFloat(value); if (isNaN(numValue)) { errorMsg = 'Please enter a valid number.'; } else if (numValue max) { errorMsg = 'Value is too high.'; } else if (isInteger && !Number.isInteger(numValue)) { errorMsg = 'Please enter a whole number.'; } } if (errorMsg) { errorElement.textContent = errorMsg; errorElement.style.display = 'block'; element.style.borderColor = '#dc3545'; return false; } else { element.style.borderColor = '#28a745'; // Success color for border return true; } } function updateChart(purchases, WAC, totalAvailableUnits) { chartData.labels = []; chartData.datasets[0].data = []; chartData.datasets[1].data = []; var currentTotalCost = parseFloat(initialCostInput.value) || 0; var currentTotalUnits = parseFloat(initialQuantityInput.value) || 0; var currentWAC = currentTotalCost / currentTotalUnits; if (currentTotalUnits > 0 && !isNaN(currentWAC)) { chartData.labels.push('Initial Inventory'); chartData.datasets[0].data.push(currentTotalCost); chartData.datasets[1].data.push(currentWAC); } for (var i = 0; i 0) { currentTotalCost += purchaseCostTotal; currentTotalUnits += purchaseQty; currentWAC = currentTotalCost / currentTotalUnits; chartData.labels.push('Purchase ' + (i + 1)); chartData.datasets[0].data.push(purchaseCostTotal); chartData.datasets[1].data.push(currentWAC); } } // Add a point for the final Weighted Average Cost if (totalAvailableUnits > 0 && !isNaN(WAC)) { chartData.labels.push('Final WAC Point'); chartData.datasets[0].data.push(null); // No corresponding cost for this point if it's purely for showing the final WAC line chartData.datasets[1].data.push(WAC); } if (chart) { chart.destroy(); } chart = new Chart(ctx, { type: 'line', // Changed to line chart for better trend visualization data: chartData, options: { responsive: true, maintainAspectRatio: false, scales: { y: { beginAtZero: true, title: { display: true, text: 'Cost ($)' } }, x: { title: { display: true, text: 'Inventory Lot' } } }, plugins: { legend: { display: true, position: 'top', }, title: { display: true, text: 'Inventory Cost Trends' } } } }); } function calculateWeightedAverage() { var initialQuantity = parseFloat(initialQuantityInput.value); var initialCost = parseFloat(initialCostInput.value); var salesQuantity = parseFloat(salesQuantityInput.value); var purchaseQuantities = []; var purchaseCosts = []; var purchases = []; for (var i = 0; i < purchaseQuantityInputs.length; i++) { var qty = parseFloat(purchaseQuantityInputs[i].value); var cost = parseFloat(purchaseCostInputs[i].value); purchaseQuantities.push(qty); purchaseCosts.push(cost); purchases.push({ quantityInput: purchaseQuantityInputs[i], costInput: purchaseCostInputs[i] }); } // Validation var initialQuantityValid = validateInput(initialQuantityInput, document.getElementById('initialQuantityError'), 0, Infinity, true); var initialCostValid = validateInput(initialCostInput, document.getElementById('initialCostError'), 0); var salesQuantityValid = validateInput(salesQuantityInput, document.getElementById('salesQuantityError'), 0, Infinity, true); var allPurchasesValid = true; for (var i = 0; i 0) { weightedAverageCost = totalCostOfGoods / totalUnitsAvailable; } var endingInventoryQuantity = totalUnitsAvailable – salesQuantity; var endingInventoryValue = 0; if (endingInventoryQuantity > 0) { endingInventoryValue = endingInventoryQuantity * weightedAverageCost; } // Update Results Display weightedAverageCostOutput.textContent = formatCurrency(weightedAverageCost); totalUnitsAvailableOutput.textContent = formatNumber(totalUnitsAvailable); totalCostOfGoodsOutput.textContent = formatCurrency(totalCostOfGoods); endingInventoryValueOutput.textContent = formatCurrency(endingInventoryValue); resultsContainer.style.display = 'block'; // Update Table Display tableInitialQuantity.textContent = formatNumber(initialQuantity); tableInitialUnitCost.textContent = formatCurrency(initialQuantity > 0 ? initialCost / initialQuantity : 0); tableInitialCost.textContent = formatCurrency(initialCost); // Assuming only 2 purchase inputs for this example tablePurchaseQuantity1.textContent = formatNumber(purchaseQuantities[0]); tablePurchaseUnitCost1.textContent = formatCurrency(purchaseQuantities[0] > 0 ? purchaseCosts[0] / purchaseQuantities[0] : 0); tablePurchaseCost1.textContent = formatCurrency(purchaseCosts[0]); tablePurchaseQuantity2.textContent = formatNumber(purchaseQuantities[1]); tablePurchaseUnitCost2.textContent = formatCurrency(purchaseQuantities[1] > 0 ? purchaseCosts[1] / purchaseQuantities[1] : 0); tablePurchaseCost2.textContent = formatCurrency(purchaseCosts[1]); tableSalesQuantity.textContent = formatNumber(salesQuantity); tableTotalUnitsAvailable.textContent = formatNumber(totalUnitsAvailable); tableTotalCostAvailable.textContent = formatCurrency(totalCostOfGoods); tableWeightedAvgCost.textContent = formatCurrency(weightedAverageCost); tableEndingInventoryValue.textContent = formatCurrency(endingInventoryValue); // Update Chart updateChart(purchases, weightedAverageCost, totalUnitsAvailable); } function resetCalculator() { initialQuantityInput.value = '100'; initialCostInput.value = '500'; // Assuming $5/unit for initial 100 units salesQuantityInput.value = '120'; purchaseQuantityInputs[0].value = '50'; purchaseCostInputs[0].value = '275'; // Assuming $5.50/unit for 50 units purchaseQuantityInputs[1].value = '75'; purchaseCostInputs[1].value = '450'; // Assuming $6.00/unit for 75 units // Clear errors and hide results var errorElements = document.querySelectorAll('.error-message'); for (var i = 0; i < errorElements.length; i++) { errorElements[i].style.display = 'none'; } var inputElements = document.querySelectorAll('.input-group input'); for (var i = 0; i < inputElements.length; i++) { inputElements[i].style.borderColor = '#ced4da'; // Reset border color } resultsContainer.style.display = 'none'; if (chart) { chart.destroy(); chart = null; } // Clear table content var tableCells = document.querySelectorAll('#transactionTableBody td'); for (var i = 0; i < tableCells.length; i++) { if (tableCells[i].id && tableCells[i].id.startsWith('table')) { // Only clear specific cells tableCells[i].textContent = ''; } } } function copyResults() { var resultText = "Weighted Average Inventory Calculation:\n\n"; resultText += "Weighted Average Cost: " + weightedAverageCostOutput.textContent + "\n"; resultText += "Total Units Available: " + totalUnitsAvailableOutput.textContent + "\n"; resultText += "Total Cost of Goods: " + totalCostOfGoodsOutput.textContent + "\n"; resultText += "Ending Inventory Value: " + endingInventoryValueOutput.textContent + "\n\n"; resultText += "Key Assumptions:\n"; resultText += "Beginning Inventory Quantity: " + formatNumber(parseFloat(initialQuantityInput.value)) + "\n"; resultText += "Beginning Inventory Cost: " + formatCurrency(parseFloat(initialCostInput.value)) + "\n"; var purchaseQuantities = []; var purchaseCosts = []; for (var i = 0; i < purchaseQuantityInputs.length; i++) { purchaseQuantities.push(parseFloat(purchaseQuantityInputs[i].value)); purchaseCosts.push(parseFloat(purchaseCostInputs[i].value)); resultText += "Purchase " + (i+1) + " Quantity: " + formatNumber(purchaseQuantities[i]) + "\n"; resultText += "Purchase " + (i+1) + " Cost: " + formatCurrency(purchaseCosts[i]) + "\n"; } resultText += "Units Sold: " + formatNumber(parseFloat(salesQuantityInput.value)) + "\n"; var textArea = document.createElement("textarea"); textArea.value = resultText; document.body.appendChild(textArea); textArea.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(textArea); } // Initial calculation on load document.addEventListener('DOMContentLoaded', function() { // Set initial values based on placeholders for better user experience initialQuantityInput.value = '100'; initialCostInput.value = '500'; // Assuming $5/unit for initial 100 units salesQuantityInput.value = '120'; purchaseQuantityInputs[0].value = '50'; purchaseCostInputs[0].value = '275'; // Assuming $5.50/unit for 50 units purchaseQuantityInputs[1].value = '75'; purchaseCostInputs[1].value = '450'; // Assuming $6.00/unit for 75 units calculateWeightedAverage(); // Perform initial calculation // Add listeners for real-time updates if desired (optional, calculate button is primary trigger) var allInputs = document.querySelectorAll('.loan-calc-container input'); for (var i = 0; i < allInputs.length; i++) { allInputs[i].addEventListener('input', function() { // Optionally trigger calculation on input change, or just highlight validity // calculateWeightedAverage(); // Uncomment for real-time updates validateInput(this, this.parentNode.querySelector('.error-message'), parseFloat(this.min) || 0, parseFloat(this.max) || Infinity, this.type === 'number' && this.step === '1'); // Basic integer check }); } });

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