How to Calculate Fifo Lifo and Weighted Average

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How to Calculate FIFO, LIFO, and Weighted Average

Master your inventory valuation with these essential costing methods.

Inventory Costing Calculator

The number of units you started with.
The cost of each unit in your starting inventory.
The total number of units sold during the period.

Calculation Results

Ending Inventory Value
Cost of Goods Sold (COGS)
Method Used
Ending Inventory Units
Formula Used: Based on the selected inventory costing method (FIFO, LIFO, or Weighted Average), this calculator determines the value of your ending inventory and the Cost of Goods Sold (COGS) by assuming an order for cost flow.
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Inventory Transactions

Inventory Cost Flow Visualization

Purchase Cost COGS Allocation Ending Inventory

Inventory Costing Data

Inventory Transactions and Calculations
Transaction Type Units Cost per Unit Total Cost Cumulative Units Cumulative Cost
Enter data and click "Calculate Costs" to populate.

What is Inventory Costing (FIFO, LIFO, Weighted Average)?

Inventory costing refers to the accounting methods used to assign costs to the goods that a business sells and the goods that remain in its inventory. Understanding how to calculate FIFO, LIFO, and Weighted Average is crucial for accurate financial reporting, profit calculation, and tax liability determination. These methods directly impact the reported Cost of Goods Sold (COGS) and the value of ending inventory on the balance sheet. Businesses must choose a method and apply it consistently. Understanding the nuances of each inventory costing method allows for better financial planning and strategic decision-making.

Who Should Use These Methods?

Any business that holds inventory, from small retailers and e-commerce stores to large manufacturers and wholesalers, needs to account for its inventory costs. The choice of method can significantly affect profitability metrics and tax obligations. For example, businesses operating in inflationary environments might see different tax benefits depending on whether they use FIFO or LIFO. Similarly, businesses aiming for the most accurate representation of their current inventory value might lean towards Weighted Average.

Common Misconceptions About Inventory Costing

  • Misconception: All methods result in the same COGS and ending inventory value. Reality: This is only true if inventory costs remain stable over time. In periods of changing prices, FIFO, LIFO, and Weighted Average yield different results.
  • Misconception: LIFO is permitted under IFRS. Reality: The International Financial Reporting Standards (IFRS) prohibit the use of LIFO. It is primarily used in the United States under Generally Accepted Accounting Principles (GAAP).
  • Misconception: The physical flow of goods must match the cost flow assumption. Reality: Accounting methods like FIFO and LIFO are cost flow assumptions, not necessarily reflections of the physical movement of inventory.

FIFO, LIFO, and Weighted Average Formula and Mathematical Explanation

First-In, First-Out (FIFO)

FIFO assumes that the first units of inventory purchased are the first ones to be sold. Therefore, the cost of the oldest inventory is assigned to COGS, and the cost of the most recently purchased inventory remains in ending inventory. This method generally aligns with the physical flow of goods for many types of inventory, especially perishable items.

  • COGS (FIFO): Calculated by taking the cost of the earliest purchased units until all sold units are accounted for.
  • Ending Inventory (FIFO): Calculated by taking the cost of the most recently purchased units remaining in stock.

Last-In, First-Out (LIFO)

LIFO assumes that the last units of inventory purchased are the first ones to be sold. This means the cost of the most recent inventory purchases is assigned to COGS, leaving the older, potentially lower-cost inventory in ending inventory. LIFO is allowed under US GAAP but not IFRS.

  • COGS (LIFO): Calculated by taking the cost of the most recently purchased units until all sold units are accounted for.
  • Ending Inventory (LIFO): Calculated by taking the cost of the earliest purchased units remaining in stock.

Weighted Average Cost (WAC)

The Weighted Average Cost method calculates an average cost for all inventory available for sale during a period. This average cost is then used to determine both COGS and ending inventory value. It smooths out cost fluctuations.

  • Weighted Average Cost per Unit: (Total Cost of Goods Available for Sale) / (Total Units Available for Sale)
  • Total Cost of Goods Available for Sale: (Cost of Beginning Inventory) + (Total Cost of Purchases)
  • Total Units Available for Sale: (Units in Beginning Inventory) + (Total Units Purchased)
  • COGS (WAC): (Number of Units Sold) * (Weighted Average Cost per Unit)
  • Ending Inventory (WAC): (Number of Units Remaining) * (Weighted Average Cost per Unit)

Variables Table

Inventory Costing Variables
Variable Meaning Unit Typical Range
Beginning Inventory Units Number of units on hand at the start of the accounting period. Units 0 to millions
Beginning Inventory Cost per Unit The cost attributed to each unit in the beginning inventory. Currency ($) 0.01 to thousands
Purchase Units Number of units acquired during the accounting period. Units 0 to millions
Purchase Cost per Unit The cost attributed to each unit purchased during the period. Currency ($) 0.01 to thousands
Sales Units Number of units sold to customers during the accounting period. Units 0 to millions
COGS The direct costs attributable to the production or purchase of the goods sold by a company. Currency ($) 0 to millions
Ending Inventory Value The value of goods remaining in stock at the end of the accounting period. Currency ($) 0 to millions
Weighted Average Cost per Unit Average cost of all inventory available for sale during the period. Currency ($) 0.01 to thousands

Practical Examples (Real-World Use Cases)

Example 1: Rising Prices Scenario

A small electronics store starts the month with 50 units of a specific gadget at $50 each. During the month, they make two purchases: 100 units at $55 and 75 units at $60. They sell a total of 150 units.

Inputs:

  • Initial Inventory: 50 units @ $50/unit
  • Purchase 1: 100 units @ $55/unit
  • Purchase 2: 75 units @ $60/unit
  • Units Sold: 150 units

Calculations:

  • Total Units Available: 50 + 100 + 75 = 225 units
  • Total Cost Available: (50 * $50) + (100 * $55) + (75 * $60) = $2,500 + $5,500 + $4,500 = $12,500
  • Ending Inventory Units: 225 – 150 = 75 units

Results:

  • FIFO:
    • COGS: (50 units @ $50) + (100 units @ $55) = $2,500 + $5,500 = $8,000
    • Ending Inventory: 75 units @ $60 = $4,500
  • LIFO:
    • COGS: (75 units @ $60) + (75 units @ $55) = $4,500 + $4,125 = $8,625
    • Ending Inventory: 50 units @ $50 + 25 units @ $55 = $2,500 + $1,375 = $3,875
  • Weighted Average:
    • Weighted Average Cost: $12,500 / 225 units = $55.56/unit (approx.)
    • COGS: 150 units * $55.56 = $8,334 (approx.)
    • Ending Inventory: 75 units * $55.56 = $4,167 (approx.)

Interpretation:

In this rising price environment, LIFO results in the highest COGS ($8,625), leading to the lowest taxable income and potentially lower taxes. FIFO results in the lowest COGS ($8,000), the highest taxable income, and the highest ending inventory valuation ($4,500), reflecting current costs better. Weighted Average provides a middle ground.

Example 2: Stable Prices Scenario

A small bookstore starts with 200 copies of a novel at $15 each. They purchase 300 more copies at $16 each. They sell 400 copies during the month.

Inputs:

  • Initial Inventory: 200 units @ $15/unit
  • Purchase 1: 300 units @ $16/unit
  • Units Sold: 400 units

Calculations:

  • Total Units Available: 200 + 300 = 500 units
  • Total Cost Available: (200 * $15) + (300 * $16) = $3,000 + $4,800 = $7,800
  • Ending Inventory Units: 500 – 400 = 100 units

Results:

  • FIFO:
    • COGS: (200 units @ $15) + (200 units @ $16) = $3,000 + $3,200 = $6,200
    • Ending Inventory: 100 units @ $16 = $1,600
  • LIFO:
    • COGS: (300 units @ $16) + (100 units @ $15) = $4,800 + $1,500 = $6,300
    • Ending Inventory: 100 units @ $15 = $1,500
  • Weighted Average:
    • Weighted Average Cost: $7,800 / 500 units = $15.60/unit
    • COGS: 400 units * $15.60 = $6,240
    • Ending Inventory: 100 units * $15.60 = $1,560

Interpretation:

When prices are stable or changing very slightly, the differences between FIFO, LIFO, and Weighted Average are minimal. In this case, COGS ranges from $6,200 to $6,300, and ending inventory from $1,500 to $1,600. The choice of method has less financial impact, but consistency remains key for reporting.

How to Use This Inventory Costing Calculator

  1. Input Initial Inventory: Enter the number of units you had at the beginning of the period and their cost per unit.
  2. Add Purchases: For each purchase made during the period, enter the number of units bought and the cost per unit. You can add multiple purchase entries.
  3. Enter Sales: Input the total number of units sold during the period.
  4. Select Method (Implicit): The calculator will implicitly show results for FIFO, LIFO, and Weighted Average based on the provided data. You will see the primary result for Ending Inventory Value.
  5. Calculate: Click the "Calculate Costs" button.
  6. Interpret Results:
    • Ending Inventory Value: This is the primary highlighted result, showing the value of goods remaining in stock according to the selected method.
    • Cost of Goods Sold (COGS): This shows the direct costs of inventory sold.
    • Method Used: Indicates which inventory costing method's results are primarily displayed (often Weighted Average is default or a key comparison point).
    • Ending Inventory Units: The number of units physically remaining.
  7. Review Transaction Table & Chart: Use the table and chart to visualize the flow of costs and inventory movements.
  8. Reset or Copy: Use the "Reset" button to clear fields and start over, or "Copy Results" to easily transfer the key figures.

Decision-Making Guidance: In periods of rising prices, LIFO offers tax advantages by reducing taxable income. FIFO presents a more current valuation of inventory on the balance sheet. Weighted Average provides a smoothed cost, which can be useful for consistent reporting and management.

Key Factors That Affect Inventory Costing Results

  1. Price Trends (Inflation/Deflation): This is the most significant factor. Rising prices generally lead to higher COGS and lower ending inventory under LIFO compared to FIFO. Falling prices have the opposite effect. This impacts profitability and tax liabilities.
  2. Volume of Purchases and Sales: The number of units bought and sold, and when these transactions occur relative to price changes, directly determines how many units are assigned costs from different periods. High sales volume relative to beginning inventory can make LIFO more beneficial during inflation.
  3. Inventory Turnover Rate: A high turnover rate means inventory is sold quickly. This can make FIFO's ending inventory valuation more relevant to current market conditions. A low turnover rate means inventory sits longer, making LIFO potentially advantageous for tax purposes if purchase costs are rising.
  4. Cost Accounting Standards (GAAP vs. IFRS): US GAAP allows LIFO, while IFRS does not. Businesses must adhere to the standards applicable in their reporting jurisdiction, which dictates the allowable methods.
  5. Consistency Principle: Once a method is chosen, it should be applied consistently period after period. Changing methods requires justification and disclosure, as it can materially affect financial statements.
  6. Specific Identification Method: For unique, high-value items (like cars or custom jewelry), the specific identification method tracks the exact cost of each individual item. This is different from FIFO, LIFO, or WAC, which are assumption-based.
  7. Inventory Shrinkage and Obsolescence: Unaccounted-for losses (shrinkage) or outdated inventory (obsolescence) affect the actual ending inventory count and value, requiring adjustments regardless of the costing method used.
  8. Tax Regulations: LIFO can provide significant tax benefits during inflationary periods in the US by reducing taxable income. Businesses often choose inventory methods with tax implications in mind, provided they comply with accounting standards.

Frequently Asked Questions (FAQ)

Common Questions About Inventory Costing

Q1: Which inventory costing method is best?

A: There is no single "best" method. FIFO provides a balance sheet valuation closer to current market costs, while LIFO (in inflationary environments) can reduce taxable income. Weighted Average offers a smoothed cost figure. The choice depends on your business goals, industry, tax strategy, and accounting standards (GAAP/IFRS).

Q2: Can I switch between FIFO, LIFO, and Weighted Average freely?

A: No. Accounting principles require consistency. Changing methods must be justified as providing more reliable or relevant information and requires disclosure. Minor fluctuations in prices might not warrant a change.

Q3: Why does LIFO result in lower taxes during inflation?

A: During inflation, LIFO assigns the most recent (higher) costs to COGS. Higher COGS leads to lower gross profit and net income, thus reducing taxable income and the tax liability for that period.

Q4: What happens if my inventory costs decrease (deflation)?

A: If costs are falling, FIFO will result in higher COGS (using older, higher costs) and lower ending inventory. LIFO will result in lower COGS (using newer, lower costs) and higher ending inventory. The tax implications reverse compared to inflation.

Q5: Does the physical flow of goods matter?

A: While FIFO often matches the physical flow (especially for perishables), accounting methods are cost flow assumptions. A business can use LIFO for costing even if it physically sells older inventory first, provided it maintains proper records and follows GAAP.

Q6: How is Weighted Average calculated for multiple purchases?

A: The weighted average cost is recalculated each time a new purchase is made. The formula is (Total Cost of Goods Available for Sale) / (Total Units Available for Sale). This updated average is then used for subsequent sales until the next purchase occurs.

Q7: What is the impact of inventory costing on financial ratios?

A: Inventory costing methods affect COGS, gross profit, net income, and ending inventory value. This, in turn, impacts ratios like gross profit margin, inventory turnover, and current ratio, potentially affecting how investors and creditors perceive the company's performance and financial health.

Q8: Can I use a mix of methods for different inventory types?

A: Generally, a company must choose one method for all inventory of a similar nature. However, different methods may be applied to different classes of inventory if they are distinct and managed separately, but this requires careful accounting and disclosure.

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var chartInstance = null; function formatCurrency(amount) { return '$' + Number(amount).toFixed(2); } function addPurchaseField() { var container = document.getElementById('purchasesContainer'); var newField = document.createElement('div'); newField.className = 'purchase-item'; newField.style.marginBottom = '10px'; newField.style.padding = '10px'; newField.style.border = '1px dashed #ddd'; newField.style.borderRadius = '4px'; newField.innerHTML = ` `; container.appendChild(newField); } function validateInputs() { var errors = false; var initialInventoryUnits = document.getElementById('initialInventoryUnits'); var initialInventoryCost = document.getElementById('initialInventoryCost'); var sales = document.getElementById('sales'); var purchaseUnitsInputs = document.querySelectorAll('.purchaseUnits'); var purchaseCostInputs = document.querySelectorAll('.purchaseCost'); var units = [initialInventoryUnits, sales]; var costs = [initialInventoryCost]; units.forEach(function(input) { var errorDiv = document.getElementById(input.id + 'Error'); if (input.value === "") { errorDiv.textContent = "This field cannot be empty."; errorDiv.style.display = 'block'; errors = true; } else { var val = parseFloat(input.value); if (isNaN(val) || val < 0) { errorDiv.textContent = "Please enter a non-negative number."; errorDiv.style.display = 'block'; errors = true; } else { errorDiv.textContent = ""; errorDiv.style.display = 'none'; } } }); costs.forEach(function(input) { var errorDiv = document.getElementById(input.id + 'Error'); if (input.value === "") { errorDiv.textContent = "This field cannot be empty."; errorDiv.style.display = 'block'; errors = true; } else { var val = parseFloat(input.value); if (isNaN(val) || val < 0) { errorDiv.textContent = "Please enter a non-negative number."; errorDiv.style.display = 'block'; errors = true; } else { errorDiv.textContent = ""; errorDiv.style.display = 'none'; } } }); var totalPurchaseUnits = 0; var totalPurchaseCost = 0; purchaseUnitsInputs.forEach(function(input, index) { var parent = input.parentNode; var costInput = input.nextElementSibling; // Assumes cost input is immediately after units input if (input.value === "" || costInput.value === "") { document.getElementById('purchasesError').textContent = "All purchase fields must be filled."; document.getElementById('purchasesError').style.display = 'block'; errors = true; } else { var unitsVal = parseFloat(input.value); var costVal = parseFloat(costInput.value); if (isNaN(unitsVal) || unitsVal < 0 || isNaN(costVal) || costVal 0) { purchases.push({ units: units, cost: cost }); totalPurchaseUnits += units; totalPurchaseCost += units * cost; } }); var beginningInventoryCost = initialInventoryUnits * initialInventoryCost; var totalUnitsAvailable = initialInventoryUnits + totalPurchaseUnits; var totalCostAvailable = beginningInventoryCost + totalPurchaseCost; var endingInventoryUnits = totalUnitsAvailable – salesUnits; if (endingInventoryUnits 0) tempUnitsForFIFO.push({ units: costFromInitial, cost: initialInventoryCost }); for (var i = 0; i 0) { var costFromPurchase = Math.min(purchase.units, unitsToAssignToCOGS_fifo); currentCOGS_fifo += costFromPurchase * purchase.cost; unitsToAssignToCOGS_fifo -= costFromPurchase; purchase.units -= costFromPurchase; // Reduce available units from this purchase for COGS calculation if(costFromPurchase > 0) tempUnitsForFIFO.push({ units: costFromPurchase, cost: purchase.cost }); } // Add purchase to transaction data transactionData.push({ type: 'Purchase ' + (i + 1), units: purchase.units + (purchase.units < parseFloat(purchaseUnitsInputs[i].value) ? (parseFloat(purchaseUnitsInputs[i].value) – purchase.units) : 0), costPerUnit: purchase.cost, totalCost: purchase.units * purchase.cost, cumulativeUnits: currentUnitsAvailable + purchase.units, cumulativeCost: currentCostAvailable + (purchase.units * purchase.cost) }); currentUnitsAvailable += purchase.units; currentCostAvailable += (purchase.units * purchase.cost); } cogs_fifo = currentCOGS_fifo; endingInventory_fifo = totalCostAvailable – cogs_fifo; // — LIFO Calculation — var unitsToAssignToCOGS_lifo = salesUnits; var currentCOGS_lifo = 0; var currentEndingInventory_lifo = 0; var tempUnitsForLIFO = []; // To store costs of units allocated var reversedPurchases = purchases.slice().reverse(); // Process purchases in reverse order for (var i = 0; i 0) { var costFromPurchase = Math.min(purchase.units, unitsToAssignToCOGS_lifo); currentCOGS_lifo += costFromPurchase * purchase.cost; unitsToAssignToCOGS_lifo -= costFromPurchase; purchase.units -= costFromPurchase; // Reduce available units if(costFromPurchase > 0) tempUnitsForLIFO.push({ units: costFromPurchase, cost: purchase.cost }); } } // Assign remaining COGS from beginning inventory if needed if (unitsToAssignToCOGS_lifo > 0) { var costFromInitial = Math.min(initialInventoryUnits, unitsToAssignToCOGS_lifo); currentCOGS_lifo += costFromInitial * initialInventoryCost; unitsToAssignToCOGS_lifo -= costFromInitial; if(costFromInitial > 0) tempUnitsForLIFO.push({ units: costFromInitial, cost: initialInventoryCost }); } cogs_lifo = currentCOGS_lifo; endingInventory_lifo = totalCostAvailable – cogs_lifo; // — Weighted Average Calculation — if (totalUnitsAvailable > 0) { weightedAverageCost = totalCostAvailable / totalUnitsAvailable; } cogs_wac = salesUnits * weightedAverageCost; endingInventory_wac = endingInventoryUnits * weightedAverageCost; // — Display Results — // For simplicity and clarity, we'll default to showing WAC as primary, but note others. document.getElementById('mainResultValue').textContent = formatCurrency(endingInventory_wac); document.getElementById('cogsValue').textContent = formatCurrency(cogs_wac); document.getElementById('methodUsed').textContent = "Weighted Average (for primary display)"; document.getElementById('endingInventoryUnits').textContent = endingInventoryUnits + " units"; updateChart(initialInventoryUnits, initialInventoryCost, purchases, salesUnits, endingInventoryUnits); populateTransactionTable(transactionData, cogs_fifo, endingInventory_fifo, cogs_lifo, endingInventory_lifo, cogs_wac, endingInventory_wac, weightedAverageCost); } function updateChart(initialUnits, initialCost, purchases, salesUnits, endingUnits) { var canvas = document.getElementById('inventoryChart'); var ctx = canvas.getContext('2d'); // Clear previous chart if (chartInstance) { chartInstance.destroy(); } var data = { labels: ["Beginning Inventory", "Purchases", "Sales", "Ending Inventory"], datasets: [ { label: 'Units', data: [initialUnits, purchases.reduce(function(sum, p) { return sum + p.units; }, 0), salesUnits, endingUnits], backgroundColor: 'rgba(0, 74, 153, 0.6)', // Blue for inventory related borderColor: 'rgba(0, 74, 153, 1)', borderWidth: 1 }, { label: 'Average Cost ($)', data: [ initialCost, purchases.reduce(function(sum, p) { return sum + (p.units * p.cost); }, 0) / purchases.reduce(function(sum, p) { return sum + p.units; }, 0) || 0, 0, // Sales don't have a cost *per unit* in this context, it's an allocation (document.getElementById('initialInventoryCost').value !== "" && document.getElementById('initialInventoryUnits').value !== "") ? (parseFloat(document.getElementById('initialInventoryCost').value) * parseFloat(document.getElementById('initialInventoryUnits').value) + purchases.reduce(function(sum, p) { return sum + (p.units * p.cost); }, 0)) / (parseFloat(document.getElementById('initialInventoryUnits').value) + purchases.reduce(function(sum, p) { return sum + p.units; }, 0)) || 0 ], backgroundColor: 'rgba(255, 193, 7, 0.6)', // Yellow for average cost borderColor: 'rgba(255, 193, 7, 1)', borderWidth: 1 } ] }; // Add COGS calculation for visual representation, though not directly plotted as a bar var totalCostAvailable = (initialUnits * initialCost) + purchases.reduce(function(sum, p) { return sum + (p.units * p.cost); }, 0); var totalUnitsAvailable = initialUnits + purchases.reduce(function(sum, p) { return sum + p.units; }, 0); var wac = totalUnitsAvailable > 0 ? totalCostAvailable / totalUnitsAvailable : 0; var cogs = salesUnits * wac; // Simple representation of COGS value relative to total cost // This is a conceptual visualization, not a direct plot of COGS data.datasets.push({ label: 'COGS Allocation ($)', data: [0, 0, cogs, 0], // Representing COGS value backgroundColor: 'rgba(40, 167, 69, 0.6)', // Green for COGS borderColor: 'rgba(40, 167, 69, 1)', borderWidth: 1 }); data.labels = ["Beginning Inventory", "Purchases", "Sales Allocation", "Ending Inventory"]; chartInstance = new Chart(ctx, { type: 'bar', data: data, options: { responsive: true, maintainAspectRatio: false, scales: { y: { beginAtZero: true, title: { display: true, text: 'Units / Value ($)' } }, x: { title: { display: true, text: 'Inventory Stage' } } }, plugins: { legend: { display: true, position: 'top', }, title: { display: true, text: 'Inventory Flow Visualization' } } } }); } function populateTransactionTable(transactionData, cogs_fifo, endingInventory_fifo, cogs_lifo, endingInventory_lifo, cogs_wac, endingInventory_wac, weightedAverageCost) { var tbody = document.getElementById('transactionTableBody'); tbody.innerHTML = "; // Clear previous data if (transactionData.length === 0) { tbody.innerHTML = 'No transactions to display.'; return; } var currentCumulativeUnits = 0; var currentCumulativeCost = 0; transactionData.forEach(function(item, index) { var row = tbody.insertRow(); row.insertCell(0).textContent = item.type; row.insertCell(1).textContent = item.units.toFixed(0); row.insertCell(2).textContent = formatCurrency(item.costPerUnit); row.insertCell(3).textContent = formatCurrency(item.totalCost); currentCumulativeUnits += item.units; currentCumulativeCost += item.totalCost; row.insertCell(4).textContent = currentCumulativeUnits.toFixed(0); row.insertCell(5).textContent = formatCurrency(currentCumulativeCost); }); // Add summary rows for COGS and Ending Inventory for each method tbody.insertRow().innerHTML = ''; // Spacer row var summaryRow1 = tbody.insertRow(); summaryRow1.insertCell(0).textContent = "COGS (FIFO)"; summaryRow1.insertCell(1).textContent = "-"; summaryRow1.insertCell(2).textContent = "-"; summaryRow1.insertCell(3).textContent = formatCurrency(cogs_fifo); summaryRow1.insertCell(4).textContent = "-"; summaryRow1.insertCell(5).textContent = "-"; var summaryRow2 = tbody.insertRow(); summaryRow2.insertCell(0).textContent = "Ending Inventory (FIFO)"; summaryRow2.insertCell(1).textContent = (document.getElementById('endingInventoryUnits').textContent.replace(' units', ") – cogs_fifo / initialInventoryCost).toFixed(0); // approximation summaryRow2.insertCell(2).textContent = "-"; summaryRow2.insertCell(3).textContent = formatCurrency(endingInventory_fifo); summaryRow2.insertCell(4).textContent = "-"; summaryRow2.insertCell(5).textContent = formatCurrency(endingInventory_fifo); tbody.insertRow().innerHTML = ''; // Spacer row var summaryRow3 = tbody.insertRow(); summaryRow3.insertCell(0).textContent = "COGS (LIFO)"; summaryRow3.insertCell(1).textContent = "-"; summaryRow3.insertCell(2).textContent = "-"; summaryRow3.insertCell(3).textContent = formatCurrency(cogs_lifo); summaryRow3.insertCell(4).textContent = "-"; summaryRow3.insertCell(5).textContent = "-"; var summaryRow4 = tbody.insertRow(); summaryRow4.insertCell(0).textContent = "Ending Inventory (LIFO)"; summaryRow4.insertCell(1).textContent = (document.getElementById('endingInventoryUnits').textContent.replace(' units', ") – cogs_lifo / initialInventoryCost).toFixed(0); // approximation summaryRow4.insertCell(2).textContent = "-"; summaryRow4.insertCell(3).textContent = formatCurrency(endingInventory_lifo); summaryRow4.insertCell(4).textContent = "-"; summaryRow4.insertCell(5).textContent = formatCurrency(endingInventory_lifo); tbody.insertRow().innerHTML = ''; // Spacer row var summaryRow5 = tbody.insertRow(); summaryRow5.insertCell(0).textContent = "COGS (Weighted Avg)"; summaryRow5.insertCell(1).textContent = "-"; summaryRow5.insertCell(2).textContent = "-"; summaryRow5.insertCell(3).textContent = formatCurrency(cogs_wac); summaryRow5.insertCell(4).textContent = "-"; summaryRow5.insertCell(5).textContent = "-"; var summaryRow6 = tbody.insertRow(); summaryRow6.insertCell(0).textContent = "Ending Inventory (Weighted Avg)"; summaryRow6.insertCell(1).textContent = (document.getElementById('endingInventoryUnits').textContent.replace(' units', ") – cogs_wac / weightedAverageCost).toFixed(0); // approximation summaryRow6.insertCell(2).textContent = "-"; summaryRow6.insertCell(3).textContent = formatCurrency(endingInventory_wac); summaryRow6.insertCell(4).textContent = "-"; summaryRow6.insertCell(5).textContent = formatCurrency(endingInventory_wac); } function resetCalculator() { document.getElementById('initialInventoryUnits').value = "100"; document.getElementById('initialInventoryCost').value = "10.00"; var purchasesContainer = document.getElementById('purchasesContainer'); purchasesContainer.innerHTML = `
`; document.getElementById('sales').value = "120"; document.getElementById('mainResultValue').textContent = "–"; document.getElementById('cogsValue').textContent = "–"; document.getElementById('methodUsed').textContent = "–"; document.getElementById('endingInventoryUnits').textContent = "–"; document.getElementById('initialInventoryUnitsError').textContent = ""; document.getElementById('initialInventoryUnitsError').style.display = 'none'; document.getElementById('initialInventoryCostError').textContent = ""; document.getElementById('initialInventoryCostError').style.display = 'none'; document.getElementById('purchasesError').textContent = ""; document.getElementById('purchasesError').style.display = 'none'; document.getElementById('salesError').textContent = ""; document.getElementById('salesError').style.display = 'none'; var tbody = document.getElementById('transactionTableBody'); tbody.innerHTML = 'Enter data and click "Calculate Costs" to populate.'; // Clear chart if (chartInstance) { chartInstance.destroy(); chartInstance = null; } } function copyResults() { var mainResult = document.getElementById('mainResultValue').textContent; var cogs = document.getElementById('cogsValue').textContent; var method = document.getElementById('methodUsed').textContent; var endingUnits = document.getElementById('endingInventoryUnits').textContent; var assumptions = "Initial Inventory: " + document.getElementById('initialInventoryUnits').value + " units @ " + formatCurrency(document.getElementById('initialInventoryCost').value) + "\n"; var purchases = document.querySelectorAll('.purchase-item'); purchases.forEach(function(item, index) { var units = item.querySelector('.purchaseUnits').value; var cost = formatCurrency(item.querySelector('.purchaseCost').value); if(units > 0) { assumptions += `Purchase ${index + 1}: ${units} units @ ${cost}\n`; } }); assumptions += "Units Sold: " + document.getElementById('sales').value + "\n"; var textToCopy = `— Inventory Costing Results —\n\n`; textToCopy += `Ending Inventory Value: ${mainResult}\n`; textToCopy += `Cost of Goods Sold (COGS): ${cogs}\n`; textToCopy += `Method Used: ${method}\n`; textToCopy += `Ending Inventory Units: ${endingUnits}\n\n`; textToCopy += `— Key Assumptions —\n${assumptions}`; // Use a temporary textarea to copy var tempTextArea = document.createElement("textarea"); tempTextArea.value = textToCopy; tempTextArea.style.position = "fixed"; // Avoid scrolling to bottom of page in MS Edge. tempTextArea.style.left = "-9999px"; tempTextArea.style.top = "-9999px"; document.body.appendChild(tempTextArea); tempTextArea.focus(); tempTextArea.select(); try { var successful = document.execCommand('copy'); var msg = successful ? 'Copied!' : 'Copy failed'; console.log('Copying text command was ' + msg); } catch (err) { console.log('Unable to copy text.', err); } document.body.removeChild(tempTextArea); // Show feedback var feedback = document.getElementById('copyFeedback'); feedback.style.opacity = '1'; setTimeout(function() { feedback.style.opacity = '0'; }, 2000); } // Initial calculation on page load if default values are present document.addEventListener('DOMContentLoaded', function() { calculateInventoryCosts(); }); // Ensure chart.js is loaded if you intend to use it. // For this example, we are assuming Chart.js is available globally. // If not, you'll need to include it via a CDN or local file. //

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