Calculate Lifo Fifo Weighted Average

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LIFO, FIFO, Weighted Average Cost Calculator

Compare inventory valuation methods to understand their impact on your financial reporting.

Inventory Valuation Calculator

Enter your inventory transaction data to calculate COGS and Ending Inventory under different methods.

Total units on hand at the start of the period.
Total cost of beginning inventory units.
List purchases chronologically. Format: units, total_cost.
List sales chronologically. Format: units, total_revenue. Revenue is not used for COGS calculation but for context.

Calculation Results

Cost of Goods Sold (COGS):

Ending Inventory Value:

Total Cost of Goods Available for Sale:

The Cost of Goods Sold (COGS) and Ending Inventory are calculated based on the selected inventory valuation method (LIFO, FIFO, or Weighted Average). COGS represents the direct costs attributable to the goods sold during the period, while Ending Inventory represents the cost of goods still on hand at the end of the period. The formulas adapt based on the method:

FIFO (First-In, First-Out): Assumes the first units purchased are the first ones sold. Ending inventory consists of the most recently purchased units.
LIFO (Last-In, First-Out): Assumes the last units purchased are the first ones sold. Ending inventory consists of the oldest units. (Note: LIFO is not permitted under IFRS).
Weighted Average: Calculates a single average cost for all goods available for sale and uses this average cost to value both COGS and ending inventory. Average Cost = Total Cost of Goods Available for Sale / Total Units Available for Sale.

Detailed Transaction Breakdown

Inventory Valuation Comparison Over Time
Period Action Units Cost/Unit Total Cost FIFO COGS LIFO COGS W.Avg COGS FIFO End Inv LIFO End Inv W.Avg End Inv
This table shows the cumulative impact of each transaction on inventory cost, COGS, and ending inventory value under FIFO, LIFO, and Weighted Average methods. The chart visually represents the ending inventory value for each method over time.

What is LIFO, FIFO, Weighted Average Cost?

{primary_keyword} are fundamental inventory management and accounting methods used by businesses to determine the cost of goods sold (COGS) and the value of remaining inventory. Each method operates under a different assumption about which inventory units are sold first, leading to distinct financial reporting outcomes. Understanding these differences is crucial for accurate financial statements, tax compliance, and informed business decisions.

Who Should Use These Methods?

Any business that holds and sells inventory can utilize these methods. This includes retailers, wholesalers, manufacturers, and even some service-based businesses that hold parts or materials. The choice of method can significantly impact a company's reported profitability, especially in periods of fluctuating prices. Businesses must consider their specific industry, inventory turnover rate, pricing environment, and accounting standards (like GAAP or IFRS) when selecting an inventory valuation method.

Common Misconceptions

  • Misconception 1: The physical flow of goods must match the accounting method. In reality, the accounting assumption (LIFO/FIFO) does not need to mirror the actual movement of inventory.
  • Misconception 2: All methods yield the same financial results. This is only true if inventory costs remain perfectly stable over time, which is rare.
  • Misconception 3: LIFO is universally accepted. LIFO is permitted under US GAAP but is not allowed under International Financial Reporting Standards (IFRS), limiting its global applicability.

{primary_keyword} Formula and Mathematical Explanation

The core concept behind inventory valuation is to assign a cost to the inventory items that have been sold (COGS) and to the inventory items that remain on hand (Ending Inventory). The total cost of inventory available for sale is constant regardless of the method used. The difference lies in how this total cost is allocated.

Total Cost of Goods Available for Sale (COGAS)

This is the starting point for all inventory valuation methods. It represents the total cost of all inventory that was available for sale during a specific accounting period.

Formula: COGAS = Beginning Inventory Cost + Total Cost of Purchases

Cost of Goods Sold (COGS) & Ending Inventory

The relationship between COGAS, COGS, and Ending Inventory is fundamental:

Formula: COGAS = COGS + Ending Inventory Value

This implies that if COGS is known, Ending Inventory can be derived, and vice versa.

Method-Specific Calculations:

1. FIFO (First-In, First-Out)

FIFO assumes that the first units of inventory acquired 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 as the value of the ending inventory.

COGS (FIFO): Sum of the costs of the earliest units purchased until all sold units are accounted for.

Ending Inventory (FIFO): Sum of the costs of the latest units purchased, corresponding to the number of units remaining.

2. LIFO (Last-In, First-Out)

LIFO assumes that the last units of inventory acquired are the first ones to be sold. The cost of the most recent inventory purchases is assigned to COGS, leaving the cost of the oldest inventory as the value of the ending inventory.

COGS (LIFO): Sum of the costs of the latest units purchased until all sold units are accounted for.

Ending Inventory (LIFO): Sum of the costs of the earliest units purchased, corresponding to the number of units remaining.

3. Weighted Average Cost

This method calculates a single average cost for all inventory available for sale during the period. This average cost is then used to value both COGS and ending inventory.

Weighted Average Cost Per Unit: (Total Cost of Goods Available for Sale) / (Total Units Available for Sale)

COGS (Weighted Average): (Units Sold) * (Weighted Average Cost Per Unit)

Ending Inventory (Weighted Average): (Units Remaining) * (Weighted Average Cost Per Unit)

Variable Explanations

Variable Meaning Unit Typical Range
Beginning Inventory Units Quantity of inventory at the start of the accounting period. Units 0+
Beginning Inventory Cost Total cost incurred to acquire the beginning inventory. Currency ($) 0+
Purchases Acquisitions of inventory during the period. Units, Currency ($) Multiple transactions possible
Sales Dispositions of inventory to customers. Units 0+
COGS Direct costs attributable to the goods sold. Currency ($) 0 to COGAS
Ending Inventory Cost of inventory remaining unsold at the end of the period. Currency ($) 0 to COGAS
COGAS Total cost of inventory available for sale during the period. Currency ($) 0+
Cost/Unit The cost assigned to each unit of inventory. Varies by method. Currency ($/Unit) Varies based on purchase price and method

Practical Examples (Real-World Use Cases)

Example 1: Stable Price Environment

A small bookstore starts with 100 books costing $5 each (Total: $500). They purchase 150 more books at $6 each (Total: $900). During the month, they sell 180 books.

Inputs:

  • Beginning Inventory: 100 units @ $5/unit = $500
  • Purchase 1: 150 units @ $6/unit = $900
  • Total Goods Available for Sale: 250 units, $1400
  • Units Sold: 180 units
  • Units Remaining: 250 – 180 = 70 units

Calculations:

  • FIFO:
    • COGS: (100 units @ $5) + (80 units @ $6) = $500 + $480 = $980
    • Ending Inventory: 70 units @ $6 = $420
  • LIFO:
    • COGS: (150 units @ $6) + (30 units @ $5) = $900 + $150 = $1050
    • Ending Inventory: 70 units @ $5 = $350
  • Weighted Average:
    • Average Cost Per Unit: $1400 / 250 units = $5.60/unit
    • COGS: 180 units * $5.60 = $1008
    • Ending Inventory: 70 units * $5.60 = $392

Interpretation: In this stable price environment, LIFO results in the highest COGS ($1050) and lowest ending inventory ($350), leading to lower taxable income. FIFO results in the lowest COGS ($980) and highest ending inventory ($420). Weighted Average falls in between.

Example 2: Inflationary Price Environment

A hardware store starts with 50 hammers costing $10 each (Total: $500). They purchase 70 more hammers at $12 each (Total: $840). During the month, they sell 90 hammers.

Inputs:

  • Beginning Inventory: 50 units @ $10/unit = $500
  • Purchase 1: 70 units @ $12/unit = $840
  • Total Goods Available for Sale: 120 units, $1340
  • Units Sold: 90 units
  • Units Remaining: 120 – 90 = 30 units

Calculations:

  • FIFO:
    • COGS: (50 units @ $10) + (40 units @ $12) = $500 + $480 = $980
    • Ending Inventory: 30 units @ $12 = $360
  • LIFO:
    • COGS: (70 units @ $12) + (20 units @ $10) = $840 + $200 = $1040
    • Ending Inventory: 30 units @ $10 = $300
  • Weighted Average:
    • Average Cost Per Unit: $1340 / 120 units = $11.17 (approx.)
    • COGS: 90 units * $11.17 = $1005.30
    • Ending Inventory: 30 units * $11.17 = $335.10

Interpretation: In this inflationary period, LIFO again yields the highest COGS ($1040) and lowest ending inventory ($300), reducing taxable income. FIFO results in lower COGS ($980) and higher ending inventory ($360). The Weighted Average method provides a smoothed-out cost ($1005.30 COGS, $335.10 Ending Inventory).

How to Use This LIFO, FIFO, Weighted Average Calculator

Our {primary_keyword} calculator is designed to simplify the comparison of these three key inventory valuation methods. Follow these steps for accurate results:

  1. Enter Beginning Inventory: Input the total number of units you had at the start of the period and their total cost.
  2. Record Purchases: In the 'Purchases' textarea, list each batch of inventory acquired during the period. For each purchase, enter the number of units and the *total cost* for that batch, separated by a comma, on a new line. Example: `50, 250.00` for 50 units costing $250.
  3. Record Sales: In the 'Sales' textarea, list each batch of inventory sold during the period. For each sale, enter the number of units sold and the *total revenue* generated from that sale, separated by a comma, on a new line. Example: `30, 180.00` for 30 units sold generating $180 in revenue. (Note: Revenue is for context; the calculation focuses on cost).
  4. Click 'Calculate': The calculator will process your data.

Reading the Results

  • Primary Highlighted Result: Shows the calculated Ending Inventory value. This is often the most critical number for balance sheet accuracy.
  • Cost of Goods Sold (COGS): Displays the total cost assigned to the inventory sold during the period. Lower COGS (relative to revenue) generally means higher gross profit.
  • Ending Inventory Value: Shows the cost of inventory remaining on hand.
  • Total Cost of Goods Available for Sale: This is a crucial intermediate value, representing the total cost pool from which COGS and Ending Inventory are drawn.
  • Detailed Table & Chart: Provides a chronological breakdown of how each method impacts COGS and Ending Inventory over the transactions.

Decision-Making Guidance

The choice between LIFO, FIFO, and Weighted Average significantly impacts your reported profitability and tax liability, especially when inventory costs fluctuate.

  • Tax Minimization (in rising price environments): LIFO typically results in the highest COGS, thus the lowest taxable income and tax liability. However, remember LIFO is not permitted under IFRS.
  • Higher Reported Profitability (in rising price environments): FIFO results in the lowest COGS, leading to the highest reported gross profit and net income. This can be favorable for attracting investors or meeting loan covenants.
  • Smoothed Results: Weighted Average provides a blended cost, smoothing out price volatility and offering a middle-ground result for both COGS and ending inventory. This is often preferred for its simplicity and stability.

Consult with a financial advisor or accountant to determine the most appropriate method for your specific business needs and regulatory environment.

Key Factors That Affect {primary_keyword} Results

Several factors influence the outcomes of LIFO, FIFO, and Weighted Average calculations, leading to differing COGS and ending inventory values. Understanding these is key to interpreting the results correctly.

  1. Inventory Cost Fluctuation (Inflation/Deflation): This is the most significant factor. In periods of rising costs (inflation), LIFO produces higher COGS and lower ending inventory, while FIFO produces lower COGS and higher ending inventory. The opposite occurs during deflation. The Weighted Average method offers a smoothed-out average.
  2. Rate of Inventory Turnover: Businesses with rapid inventory turnover may see less dramatic differences between methods than those with slow turnover, especially if costs are relatively stable over the short periods between purchases and sales. High turnover means older inventory is sold quickly, making FIFO's assumptions more aligned with physical flow.
  3. Volume of Purchases and Sales: Large purchase volumes, especially at varying price points, magnify the differences between LIFO and FIFO. Similarly, significant sales volumes mean more cost data is being allocated.
  4. Accounting Standards (GAAP vs. IFRS): The allowed methods differ. US GAAP permits LIFO, FIFO, and Weighted Average. IFRS, however, prohibits LIFO. Companies reporting under IFRS must choose between FIFO and Weighted Average. This is a critical factor for international businesses.
  5. Tax Implications: In inflationary environments, the tax benefits of LIFO (lower taxable income) can be substantial for US companies. However, if LIFO inventory layers are liquidated (selling older, cheaper inventory), it can trigger significant tax liabilities. This is a primary driver for choosing LIFO in the US.
  6. Inventory Layering (LIFO Specific): Under LIFO, if a company sells more units than it purchases in a period, it begins to "liquidate" older LIFO layers. If these older layers were acquired at much lower costs, this liquidation can dramatically increase taxable income and taxes in that period, negating the usual LIFO benefit.
  7. Product Type and Shelf Life: For perishable goods or items with obsolescence risk (e.g., technology, fashion), FIFO often makes more practical sense as it aligns better with selling older stock first to minimize spoilage or obsolescence.

Frequently Asked Questions (FAQ)

Q1: Which method is best for minimizing taxes?

A1: In an inflationary environment (rising prices), LIFO generally results in the highest Cost of Goods Sold (COGS), leading to the lowest taxable income and therefore the lowest tax liability for US companies using US GAAP. However, IFRS prohibits LIFO.

Q2: Which method provides the most realistic balance sheet value?

A2: FIFO generally provides an ending inventory value on the balance sheet that is closer to current market replacement costs, as it assumes the most recently purchased (and likely higher-cost) inventory remains. LIFO's ending inventory may be significantly understated in value during inflation.

Q3: Can I switch inventory valuation methods?

A3: While possible, switching inventory methods is generally discouraged and requires justification and approval from accounting bodies (e.g., the IRS in the US). Companies typically adopt a method and stick with it unless there's a compelling reason for a change, which must be disclosed.

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

A4: In a deflationary environment (falling prices), LIFO would result in lower COGS and higher ending inventory, while FIFO would result in higher COGS and lower ending inventory. The tax benefits typically associated with LIFO would reverse.

Q5: Is Weighted Average more accurate than FIFO or LIFO?

A5: Accuracy depends on the objective. Weighted Average provides a smoothed, representative cost that avoids the extremes of LIFO and FIFO, making it good for stability. FIFO better reflects current asset values on the balance sheet in inflationary times. LIFO best matches current costs with current revenues for income statement purposes in inflationary times (for tax benefits).

Q6: How does LIFO liquidation affect profitability?

A6: LIFO liquidation occurs when a company sells more inventory than it purchases in a period, forcing it to dip into older, lower-cost inventory layers. This can artificially inflate reported profits and taxes in the period of liquidation, as older, cheaper costs are matched against current revenues.

Q7: Does the calculator handle multiple purchases and sales?

A7: Yes, the calculator is designed to process multiple purchase and sales transactions chronologically. You must enter them in the order they occurred to get accurate results for LIFO, FIFO, and Weighted Average calculations.

Q8: Why is revenue shown in the sales input if it's not used for COGS calculation?

A8: While revenue isn't directly used in calculating COGS or inventory value (which are based on cost), including it provides important context. It allows users to see the gross profit (Revenue – COGS) associated with each period or sale, offering a more complete financial picture and aiding in analysis.

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transactions : null; } function calculateInventory() { var beginningInventoryUnits = parseFloat(getElement('beginningInventoryUnits').value); var beginningInventoryCost = parseFloat(getElement('beginningInventoryCost').value); var purchases = parseTransactions('purchases'); var sales = parseTransactions('sales'); var errorBeginningInventoryUnits = getElement('errorBeginningInventoryUnits'); var errorBeginningInventoryCost = getElement('errorBeginningInventoryCost'); var errorPurchases = getElement('errorPurchases'); var errorSales = getElement('errorSales'); var isValid = true; if (isNaN(beginningInventoryUnits) || !validateInput(beginningInventoryUnits, 'beginningInventoryUnits', 0)) isValid = false; if (isNaN(beginningInventoryCost) || !validateInput(beginningInventoryCost, 'beginningInventoryCost', 0)) isValid = false; if (purchases === null && getElement('purchases').value.trim() !== ") isValid = false; if (sales === null && getElement('sales').value.trim() !== ") isValid = false; if (!isValid) { getElement('resultsContainer').style.display = 'none'; getElement('calculationDetailsContainer').style.display = 'none'; return; } var allTransactions = []; allTransactions.push({ type: 'beginning', units: beginningInventoryUnits, costPerUnit: beginningInventoryCost / beginningInventoryUnits, totalCost: beginningInventoryCost }); purchases.forEach(function(p, index) { allTransactions.push({ type: 'purchase', units: p.units, costPerUnit: p.value / p.units, totalCost: p.value, purchaseIndex: index }); }); sales.forEach(function(s, index) { allTransactions.push({ type: 'sale', units: s.units, totalRevenue: s.value, saleIndex: index }); }); allTransactions.sort(function(a, b) { // Sort by sequence: beginning, then purchases/sales in order if (a.type === 'beginning') return -1; if (b.type === 'beginning') return 1; if (a.type === 'purchase' && b.type === 'purchase') return a.purchaseIndex – b.purchaseIndex; if (a.type === 'sale' && b.type === 'sale') return a.saleIndex – b.saleIndex; if (a.type === 'purchase' && b.type === 'sale') { // Simple chronological assumption for this example: purchases before sales on same 'day' if indexes were the same return a.purchaseIndex – b.saleIndex; } if (a.type === 'sale' && b.type === 'purchase') { return a.saleIndex – b.purchaseIndex; } return 0; }); var inventory = { units: beginningInventoryUnits, costPerUnit: beginningInventoryCost / beginningInventoryUnits }; if (isNaN(inventory.costPerUnit)) inventory.costPerUnit = 0; // Handle case where beginning units is 0 var historicalInventory = [{ units: beginningInventoryUnits, costPerUnit: inventory.costPerUnit, totalCost: beginningInventoryCost }]; var detailedResults = []; var totalCostGoodsAvailable = beginningInventoryCost; var currentInventoryUnits = beginningInventoryUnits; var currentInventoryTotalCost = beginningInventoryCost; // Process purchases first to update total cost goods available purchases.forEach(function(p) { totalCostGoodsAvailable += p.value; currentInventoryUnits += p.units; currentInventoryTotalCost += p.value; }); var fifoCOGS = 0; var fifoEndingInventory = 0; var lifoCOGS = 0; var lifoEndingInventory = 0; var weightedAvgCOGS = 0; var weightedAvgEndingInventory = 0; var weightedAvgCostPerUnit = totalCostGoodsAvailable / currentInventoryUnits; // Initial calculation var cumulativeFifoCOGS = 0; var cumulativeFifoEndingInv = 0; var cumulativeLifoCOGS = 0; var cumulativeLifoEndingInv = 0; var cumulativeWAvgCOGS = 0; var cumulativeWAvgEndingInv = 0; var tempInventoryFifo = [{units: beginningInventoryUnits, costPerUnit: beginningInventoryCost / beginningInventoryUnits}]; var tempInventoryLifo = [{units: beginningInventoryUnits, costPerUnit: beginningInventoryCost / beginningInventoryUnits}]; var tempInventoryWAvg = [{units: beginningInventoryUnits, costPerUnit: (isNaN(beginningInventoryCost / beginningInventoryUnits) ? 0 : beginningInventoryCost / beginningInventoryUnits)}]; if(isNaN(tempInventoryWAvg[0].costPerUnit)) tempInventoryWAvg[0].costPerUnit = 0; var currentTotalUnits = beginningInventoryUnits; var currentTotalCost = beginningInventoryCost; allTransactions.forEach(function(transaction, index) { var periodUnitsAvailable = currentTotalUnits; var periodTotalCostAvailable = currentTotalCost; var periodAvgCost = (periodTotalUnitsAvailable === 0) ? 0 : periodTotalCostAvailable / periodTotalUnitsAvailable; if (transaction.type === 'purchase') { currentTotalUnits += transaction.units; currentTotalCost += transaction.totalCost; periodTotalCostAvailable = currentTotalCost; // Update for subsequent sales in the same period if needed, though usually handled sequentially periodAvgCost = (currentTotalUnits === 0) ? 0 : currentTotalCost / currentTotalUnits; // Add to temp inventories for method calculation tempInventoryFifo.push({ units: transaction.units, costPerUnit: transaction.costPerUnit, totalCost: transaction.totalCost }); tempInventoryLifo.unshift({ units: transaction.units, costPerUnit: transaction.costPerUnit, totalCost: transaction.totalCost }); // Add to beginning for LIFO logic tempInventoryWAvg.push({ units: transaction.units, costPerUnit: transaction.costPerUnit, totalCost: transaction.totalCost }); } else if (transaction.type === 'sale') { var unitsToSell = transaction.units; var saleCOGS_FIFO = 0; var saleCOGS_LIFO = 0; var saleCOGS_WAvg = 0; // FIFO Calculation for this sale var fifoRemainingToSell = unitsToSell; var fifoCurrentInvCopy = JSON.parse(JSON.stringify(tempInventoryFifo)); // Work on a copy var fifoSoldCosts = []; for (var i = 0; i 0; i++) { var availableUnits = fifoCurrentInvCopy[i].units; var unitsFromThisLayer = Math.min(fifoRemainingToSell, availableUnits); saleCOGS_FIFO += unitsFromThisLayer * fifoCurrentInvCopy[i].costPerUnit; fifoCurrentInvCopy[i].units -= unitsFromThisLayer; fifoRemainingToSell -= unitsFromThisLayer; } cumulativeFifoCOGS += saleCOGS_FIFO; // Update tempInventoryFifo based on what was sold tempInventoryFifo = fifoCurrentInvCopy.filter(item => item.units > 0); // LIFO Calculation for this sale var lifoRemainingToSell = unitsToSell; var lifoCurrentInvCopy = JSON.parse(JSON.stringify(tempInventoryLifo)); var lifoSoldCosts = []; for (var i = 0; i 0; i++) { var availableUnits = lifoCurrentInvCopy[i].units; var unitsFromThisLayer = Math.min(lifoRemainingToSell, availableUnits); saleCOGS_LIFO += unitsFromThisLayer * lifoCurrentInvCopy[i].costPerUnit; lifoCurrentInvCopy[i].units -= unitsFromThisLayer; lifoRemainingToSell -= unitsFromThisLayer; } cumulativeLifoCOGS += saleCOGS_LIFO; // Update tempInventoryLifo tempInventoryLifo = lifoCurrentInvCopy.filter(item => item.units > 0); // Weighted Average Calculation for this sale var currentTotalUnitsAvailable = tempInventoryWAvg.reduce(function(sum, item) { return sum + item.units; }, 0); var currentTotalCostAvailable = tempInventoryWAvg.reduce(function(sum, item) { return sum + item.units * item.costPerUnit; }, 0); var currentAvgCost = (currentTotalUnitsAvailable === 0) ? 0 : currentTotalCostAvailable / currentTotalUnitsAvailable; saleCOGS_WAvg = unitsToSell * currentAvgCost; cumulativeWAvgCOGS += saleCOGS_WAvg; // Update tempInventoryWAvg by removing sold units conceptually (doesn't change avg cost until next purchase) // For simplicity here, we recalculate the average after sale based on remaining units. A more robust simulator would track units removed from layers. var remainingUnitsAfterSale = currentTotalUnitsAvailable – unitsToSell; var remainingCostAfterSale = currentTotalCostAvailable – saleCOGS_WAvg; if (remainingUnitsAfterSale > 0) { tempInventoryWAvg = [{ units: remainingUnitsAfterSale, costPerUnit: remainingCostAfterSale / remainingUnitsAfterSale }]; } else { tempInventoryWAvg = []; } } // Store detailed results for table and chart var totalUnitsRemainingFifo = tempInventoryFifo.reduce(function(sum, item) { return sum + item.units; }, 0); var totalCostRemainingFifo = tempInventoryFifo.reduce(function(sum, item) { return sum + item.units * item.costPerUnit; }, 0); var totalUnitsRemainingLifo = tempInventoryLifo.reduce(function(sum, item) { return sum + item.units; }, 0); var totalCostRemainingLifo = tempInventoryLifo.reduce(function(sum, item) { return sum + item.units * item.costPerUnit; }, 0); var totalUnitsRemainingWAvg = tempInventoryWAvg.reduce(function(sum, item) { return sum + item.units; }, 0); var totalCostRemainingWAvg = tempInventoryWAvg.reduce(function(sum, item) { return sum + item.units * item.costPerUnit; }, 0); detailedResults.push({ period: index + 1, action: transaction.type === 'beginning' ? 'Beginning Inventory' : (transaction.type === 'purchase' ? 'Purchase' : 'Sale'), units: transaction.type === 'beginning' ? transaction.units : (transaction.type === 'purchase' ? `+${transaction.units}` : `-${transaction.units}`), costPerUnit: transaction.type === 'sale' ? '-' : (transaction.type === 'beginning' ? transaction.costPerUnit.toFixed(2) : transaction.costPerUnit.toFixed(2)), totalCost: transaction.type === 'sale' ? `Rev: ${transaction.totalRevenue.toFixed(2)}` : (transaction.type === 'beginning' ? transaction.totalCost.toFixed(2) : `+${transaction.totalCost.toFixed(2)}`), fifoCOGS: cumulativeFifoCOGS.toFixed(2), lifoCOGS: cumulativeLifoCOGS.toFixed(2), wAvgCOGS: cumulativeWAvgCOGS.toFixed(2), fifoEndInv: totalUnitsRemainingFifo > 0 ? totalCostRemainingFifo.toFixed(2) : "0.00", lifoEndInv: totalUnitsRemainingLifo > 0 ? totalCostRemainingLifo.toFixed(2) : "0.00", wAvgEndInv: totalUnitsRemainingWAvg > 0 ? totalCostRemainingWAvg.toFixed(2) : "0.00" }); }); // Final calculations after all transactions fifoEndingInventory = detailedResults[detailedResults.length – 1].fifoEndInv; lifoEndingInventory = detailedResults[detailedResults.length – 1].lifoEndInv; weightedAvgEndingInventory = detailedResults[detailedResults.length – 1].wAvgEndInv; fifoCOGS = (totalCostGoodsAvailable – parseFloat(fifoEndingInventory)).toFixed(2); lifoCOGS = (totalCostGoodsAvailable – parseFloat(lifoEndingInventory)).toFixed(2); weightedAvgCOGS = (totalCostGoodsAvailable – parseFloat(weightedAvgEndingInventory)).toFixed(2); getElement('primaryResult').innerText = `Ending Inventory: $${weightedAvgEndingInventory}`; // Default to Weighted Average for primary display getElement('cogsResult').innerText = `$${weightedAvgCOGS}`; getElement('endingInventoryResult').innerText = `$${weightedAvgEndingInventory}`; getElement('cogsAvailableResult').innerText = `$${totalCostGoodsAvailable.toFixed(2)}`; getElement('resultsContainer').style.display = 'block'; getElement('calculationDetailsContainer').style.display = 'block'; // Populate table var tableBody = getElement('detailTableBody'); tableBody.innerHTML = "; detailedResults.forEach(function(row) { var tr = tableBody.insertRow(); tr.innerHTML = ` ${row.period} ${row.action} ${row.units} ${row.costPerUnit} ${row.totalCost} ${row.fifoCOGS} ${row.lifoCOGS} ${row.wAvgCOGS} ${row.fifoEndInv} ${row.lifoEndInv} ${row.wAvgEndInv} `; }); // Update chart updateChart(detailedResults); } function updateChart(detailedResults) { var ctx = getElement('inventoryChart').getContext('2d'); // Clear previous chart instance if it exists var existingChart = Chart.getChart(ctx); if (existingChart) { existingChart.destroy(); } var labels = detailedResults.map(function(item) { return item.period + ' ' + item.action; }); var fifoData = detailedResults.map(function(item) { return parseFloat(item.fifoEndInv); }); var lifoData = detailedResults.map(function(item) { return parseFloat(item.lifoEndInv); }); var wAvgData = detailedResults.map(function(item) { return parseFloat(item.wAvgEndInv); }); new Chart(ctx, { type: 'line', data: { labels: labels, datasets: [ { label: 'FIFO Ending Inventory ($)', data: fifoData, borderColor: '#004a99', fill: false, tension: 0.1 }, { label: 'LIFO Ending Inventory ($)', data: lifoData, borderColor: '#28a745', fill: false, tension: 0.1 }, { label: 'Weighted Average Ending Inventory ($)', data: wAvgData, borderColor: '#ffc107', fill: false, tension: 0.1 } ] }, options: { responsive: true, maintainAspectRatio: false, scales: { y: { beginAtZero: true, title: { display: true, text: 'Ending Inventory Value ($)' } }, x: { title: { display: true, text: 'Transaction Period' } } }, plugins: { legend: { position: 'top', }, title: { display: true, text: 'Ending Inventory Value Over Time by Method' } } } }); } // Dummy Chart.js initialization if not present, for standalone HTML. In a real app, you'd include the library. // For this example, we assume Chart.js is available globally. If running this standalone without Chart.js, // the canvas will be empty. For a production environment, include the Chart.js library. if (typeof Chart === 'undefined') { console.warn("Chart.js library not found. The chart will not render. Please include Chart.js."); // Placeholder to prevent errors, but chart won't work. var Chart = { getChart: function() { return null; }, getContext: function() { return null; } }; } function resetCalculator() { getElement('beginningInventoryUnits').value = "100"; getElement('beginningInventoryCost').value = "500"; getElement('purchases').value = "150, 900.00"; // Example purchase getElement('sales').value = "180, 1500.00"; // Example sale (revenue not used in calc) // Clear errors getElement('errorBeginningInventoryUnits').innerText = ""; getElement('errorBeginningInventoryCost').innerText = ""; getElement('errorPurchases').innerText = ""; getElement('errorSales').innerText = ""; getElement('beginningInventoryUnits').style.borderColor = '#ccc'; getElement('beginningInventoryCost').style.borderColor = '#ccc'; getElement('purchases').style.borderColor = '#ccc'; getElement('sales').style.borderColor = '#ccc'; getElement('resultsContainer').style.display = 'none'; getElement('calculationDetailsContainer').style.display = 'none'; } function copyResults() { var primaryResult = getElement('primaryResult').innerText; var cogsResult = getElement('cogsResult').innerText; var endingInventoryResult = getElement('endingInventoryResult').innerText; var cogsAvailableResult = getElement('cogsAvailableResult').innerText; var assumptions = "Assumptions:\n"; assumptions += `- Beginning Inventory Units: ${getElement('beginningInventoryUnits').value}\n`; assumptions += `- Beginning Inventory Cost: ${getElement('beginningInventoryCost').value}\n`; assumptions += `- Purchases:\n${getElement('purchases').value}\n`; assumptions += `- Sales:\n${getElement('sales').value}\n`; var resultsText = `— Inventory Valuation Results —\n\n`; resultsText += `Primary Result (Ending Inventory): ${primaryResult}\n`; resultsText += `Cost of Goods Sold (COGS): ${cogsResult}\n`; resultsText += `Ending Inventory Value: ${endingInventoryResult}\n`; resultsText += `Total Cost of Goods Available for Sale: ${cogsAvailableResult}\n\n`; resultsText += resultsText + assumptions; // Attempt to copy to clipboard try { navigator.clipboard.writeText(resultsText).then(function() { alert('Results copied to clipboard!'); }).catch(function(err) { console.error('Failed to copy: ', err); // Fallback for older browsers or environments where clipboard API is restricted var textArea = document.createElement("textarea"); textArea.value = resultsText; textArea.style.position = "fixed"; // Avoid scrolling to bottom textArea.style.left = "-9999px"; textArea.style.top = "-9999px"; document.body.appendChild(textArea); textArea.focus(); textArea.select(); try { document.execCommand('copy'); alert('Results copied to clipboard!'); } catch (e) { alert('Failed to copy results. Please copy manually.'); console.error('Copy command failed: ', e); } document.body.removeChild(textArea); }); } catch (e) { alert('Clipboard API not available. Please copy manually.'); } } // Set current year for footer document.getElementById('currentYear').innerText = new Date().getFullYear(); // Initial calculation on load if default values are present document.addEventListener('DOMContentLoaded', function() { // Check if inputs have default values and trigger calculation if (getElement('beginningInventoryUnits').value && getElement('beginningInventoryCost').value && getElement('purchases').value && getElement('sales').value) { calculateInventory(); } });

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