Fifo Lifo and Weighted Average Calculator

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FIFO, LIFO, and Weighted Average Calculator

Compare inventory valuation methods to understand their impact on Cost of Goods Sold (COGS) and ending inventory values.

Inventory Valuation Calculator

The number of units you started with.
The cost of each unit in your starting inventory.

Purchases

Number of units purchased.
Cost per unit for this purchase.
Number of units purchased.
Cost per unit for this purchase.
Total number of units sold during the period.

Calculation Results

Intermediate Values

Total Cost of Goods Available:
Weighted Average Cost Per Unit:
FIFO Ending Inventory Value:
LIFO Ending Inventory Value:
Weighted Average Ending Inventory Value:
FIFO Cost of Goods Sold (COGS):
LIFO Cost of Goods Sold (COGS):
Weighted Average Cost of Goods Sold (COGS):

Summary

Formula Explanation:

FIFO (First-In, First-Out): Assumes the first units purchased are the first ones sold. COGS is calculated using the costs of the oldest inventory. Ending inventory uses the costs of the most recently purchased units.

LIFO (Last-In, First-Out): Assumes the last units purchased are the first ones sold. COGS is calculated using the costs of the most recent inventory. Ending inventory uses the costs of the oldest units. (Note: LIFO is not permitted under IFRS.)

Weighted Average Cost: Calculates an average cost for all units available for sale during the period. This average cost is then used for both COGS and ending inventory valuation. Average Cost = Total Cost of Goods Available / Total Units Available.

Enter your inventory data and click "Calculate".

Inventory Valuation Comparison Chart

FIFO LIFO Weighted Average
Comparison of COGS and Ending Inventory Values by Method

What is Inventory Valuation?

Inventory valuation is a critical accounting process that determines the monetary value of a company's inventory at a specific point in time. This valuation directly impacts a business's financial statements, including the balance sheet (ending inventory) and the income statement (cost of goods sold or COGS). Choosing the right inventory valuation method is crucial for accurate financial reporting, tax compliance, and informed business decision-making. This fifo lifo and weighted average calculator helps illustrate the differences between these popular methods.

Essentially, inventory valuation answers the question: "What is the cost associated with the inventory we have on hand, and what is the cost of the inventory we've sold?" The value assigned impacts profitability metrics like gross profit and net income. Businesses need to understand how different fifo lifo and weighted average calculator inputs affect these outcomes.

Who should use inventory valuation methods? Any business that holds inventory to sell to customers must track and value its inventory. This includes retailers, wholesalers, manufacturers, and even service businesses that might hold parts or supplies. Proper inventory valuation, facilitated by tools like a fifo lifo and weighted average calculator, is essential for businesses of all sizes.

Common misconceptions about inventory valuation:

  • That it doesn't matter: Many believe that as long as inventory is valued consistently, the specific method doesn't significantly affect overall business health. However, different methods can lead to vastly different reported profits and tax liabilities, especially in periods of fluctuating prices.
  • That LIFO is universally accepted: While used in the U.S. for tax purposes, LIFO is prohibited under International Financial Reporting Standards (IFRS), which are used by many countries globally.
  • That it's overly complex: While the concepts can seem daunting, using a fifo lifo and weighted average calculator can demystify the process and highlight the practical differences.

FIFO, LIFO, and Weighted Average: Formula and Mathematical Explanation

Understanding the formulas behind fifo lifo and weighted average calculator is key to grasping their impact. These methods determine how costs are assigned to inventory that has been sold (COGS) and inventory that remains on hand (Ending Inventory).

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

The FIFO method assumes that the oldest inventory items are sold first. This aligns with the physical flow of many businesses, especially those dealing with perishable goods or products with a risk of obsolescence.

Cost of Goods Sold (COGS) under FIFO: Calculated using the costs of the earliest purchased units until all sold units are accounted for.
COGS (FIFO) = Cost of [Units Sold] from Oldest Inventory Layers

Ending Inventory Value under FIFO: Calculated using the costs of the most recently purchased units.
Ending Inventory (FIFO) = Cost of [Units Remaining] from Newest Inventory Layers

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

The LIFO method assumes that the most recently purchased inventory items are sold first. This method can be advantageous in periods of rising prices because it matches current costs with current revenues, potentially resulting in lower taxable income. However, it may not reflect the actual physical flow of goods and is not permitted under IFRS.

Cost of Goods Sold (COGS) under LIFO: Calculated using the costs of the most recently purchased units until all sold units are accounted for.
COGS (LIFO) = Cost of [Units Sold] from Newest Inventory Layers

Ending Inventory Value under LIFO: Calculated using the costs of the oldest purchased units.
Ending Inventory (LIFO) = Cost of [Units Remaining] from Oldest Inventory Layers

3. Weighted Average Cost Method

The Weighted Average Cost method smooths out cost fluctuations by calculating an average cost for all goods available for sale during a period. This average cost is then used to value both COGS and ending inventory. It provides a middle-ground approach between FIFO and LIFO.

Total Cost of Goods Available for Sale: The sum of the cost of initial inventory and all purchases made during the period.
Total Cost Available = (Initial Units * Initial Cost) + Σ (Purchase Units * Purchase Cost)

Total Units Available for Sale: The sum of initial inventory units and all purchased units.
Total Units Available = Initial Units + Σ Purchase Units

Weighted Average Cost Per Unit:
Weighted Avg Cost = Total Cost of Goods Available / Total Units Available

Cost of Goods Sold (COGS) under Weighted Average:
COGS (Weighted Avg) = Units Sold * Weighted Avg Cost Per Unit

Ending Inventory Value under Weighted Average:
Ending Inventory (Weighted Avg) = Units Remaining * Weighted Avg Cost Per Unit

Variables Table

Variables Used in Inventory Valuation
Variable Meaning Unit Typical Range
Initial Inventory Units Number of units on hand at the beginning of the period. Units 0 to millions
Initial Cost Per Unit The cost assigned to each unit of beginning inventory. Currency ($) 0.01 to thousands
Purchase Units Number of units acquired in a specific purchase transaction. Units 0 to millions
Purchase Cost Per Unit The cost assigned to each unit in a specific purchase. Currency ($) 0.01 to thousands
Sales Units Total number of units sold to customers during the period. Units 0 to millions
COGS Cost of Goods Sold: The direct costs attributable to the production or purchase of the goods sold by a company. Currency ($) Varies significantly based on sales volume and cost methods.
Ending Inventory Value The value of inventory remaining on hand at the end of the accounting period. Currency ($) Varies significantly based on inventory levels and cost methods.
Weighted Average Cost Per Unit The average cost of all units available for sale during the period. Currency ($) Typically between the lowest and highest purchase costs.

Practical Examples (Real-World Use Cases)

Let's illustrate how the fifo lifo and weighted average calculator works with practical scenarios.

Example 1: Small Electronics Retailer (Rising Prices)

A small store selling phone accessories starts January with 50 cases at $5 each. During January, they make two purchases: 100 cases at $6 each, and later 75 cases at $7 each. They sell a total of 180 cases in January.

Inputs:

  • Initial Inventory: 50 units @ $5.00 = $250.00
  • Purchase 1: 100 units @ $6.00 = $600.00
  • Purchase 2: 75 units @ $7.00 = $525.00
  • Total Units Available: 50 + 100 + 75 = 225 units
  • Total Cost Available: $250 + $600 + $525 = $1,375.00
  • Sales Units: 180 units
  • Units Remaining: 225 – 180 = 45 units

Calculations (using the calculator):

Using the fifo lifo and weighted average calculator:

  • Weighted Average Cost Per Unit: $1,375.00 / 225 units = $6.11 (approx.)
  • FIFO COGS: (50 @ $5) + (100 @ $6) + (30 @ $7) = $250 + $600 + $210 = $1,060.00
  • FIFO Ending Inventory: (45 @ $7) = $315.00
  • LIFO COGS: (75 @ $7) + (100 @ $6) + (5 @ $5) = $525 + $600 + $25 = $1,150.00
  • LIFO Ending Inventory: (45 @ $5) = $225.00
  • Weighted Average COGS: 180 units * $6.11 = $1,099.80 (approx.)
  • Weighted Average Ending Inventory: 45 units * $6.11 = $274.95 (approx.)

Financial Interpretation:

In this period of rising prices:

  • LIFO results in the highest COGS ($1,150) and the lowest Ending Inventory ($225), leading to the lowest taxable income.
  • FIFO results in the lowest COGS ($1,060) and the highest Ending Inventory ($315), leading to the highest taxable income.
  • Weighted Average provides a middle ground for both COGS ($1,099.80) and Ending Inventory ($274.95).

The choice impacts reported profit and taxes. Understanding these nuances is why a fifo lifo and weighted average calculator is invaluable.

Example 2: Manufacturer of Custom Furniture (Stable Prices)

A furniture maker starts with 20 tables at a cost of $200 each. They purchase 30 more tables at $210 each. They sell 40 tables.

Inputs:

  • Initial Inventory: 20 units @ $200 = $4,000
  • Purchase: 30 units @ $210 = $6,300
  • Total Units Available: 20 + 30 = 50 units
  • Total Cost Available: $4,000 + $6,300 = $10,300
  • Sales Units: 40 units
  • Units Remaining: 50 – 40 = 10 units

Calculations (using the calculator):

Using the fifo lifo and weighted average calculator:

  • Weighted Average Cost Per Unit: $10,300 / 50 units = $206
  • FIFO COGS: (20 @ $200) + (20 @ $210) = $4,000 + $4,200 = $8,200
  • FIFO Ending Inventory: (10 @ $210) = $2,100
  • LIFO COGS: (30 @ $210) + (10 @ $200) = $6,300 + $2,000 = $8,300
  • LIFO Ending Inventory: (10 @ $200) = $2,000
  • Weighted Average COGS: 40 units * $206 = $8,240
  • Weighted Average Ending Inventory: 10 units * $206 = $2,060

Financial Interpretation:

Even with stable prices, slight differences emerge:

  • LIFO yields the highest COGS ($8,300) and lowest ending inventory ($2,000).
  • FIFO yields the lowest COGS ($8,200) and highest ending inventory ($2,100).
  • Weighted Average falls in between.

The difference is less pronounced than in Example 1 due to price stability. However, over many periods, these small differences can compound. The fifo lifo and weighted average calculator helps visualize these impacts.

How to Use This FIFO, LIFO, and Weighted Average Calculator

Our fifo lifo and weighted average calculator is designed for simplicity and clarity. Follow these steps to get accurate inventory valuation results:

  1. Enter Initial Inventory: Input the number of units you had at the beginning of your accounting period and their corresponding cost per unit. This sets the baseline for your calculations.
  2. Add Purchases: Click the "Add Purchase" button for each batch of inventory you acquired during the period. For each purchase, enter the number of units bought and the cost per unit for that specific transaction. You can add multiple purchases.
  3. Enter Sales Units: Input the total number of units you sold to customers during the accounting period. This is the quantity for which you need to determine the Cost of Goods Sold (COGS).
  4. Calculate: Click the "Calculate" button. The calculator will process the inputs using FIFO, LIFO, and Weighted Average methods.
  5. Review Results: The results section will update instantly, showing:
    • Primary Highlighted Result: Typically displays the difference in COGS or Ending Inventory value between methods, or a selected key metric.
    • Intermediate Values: Key figures like Total Cost of Goods Available, Weighted Average Cost per Unit, and individual results for COGS and Ending Inventory under each method (FIFO, LIFO, Weighted Average).
    • Summary: A brief overview of the calculated values.
    • Formula Explanation: A reminder of how each method works.
    • Chart: A visual comparison of COGS and Ending Inventory values across the three methods.
  6. Understand the Impact: Analyze how each method affects your reported COGS and Ending Inventory. A higher COGS generally means lower gross profit (and lower taxes), while a higher Ending Inventory means more assets on your balance sheet.
  7. Copy Results: If you need to document or share the results, click "Copy Results" to copy all calculated figures and key assumptions to your clipboard.
  8. Reset: Use the "Reset" button to clear all fields and return to default values, allowing you to start a new calculation.

Decision-Making Guidance:

  • Rising Prices: LIFO typically lowers taxable income (highest COGS), while FIFO reports higher profits (lower COGS). Weighted Average falls in between.
  • Falling Prices: FIFO typically lowers taxable income (higher COGS from older, more expensive inventory), while LIFO reports higher profits (lower COGS from newer, cheaper inventory).
  • Perishable or Obsolescent Goods: FIFO is often preferred as it matches the physical flow of goods.
  • International Operations: If your business operates under IFRS, you cannot use LIFO.
  • Simplicity: Weighted Average is often simpler to manage than LIFO due to its averaging nature.

Use this fifo lifo and weighted average calculator to experiment with different scenarios and see the financial implications.

Key Factors That Affect FIFO, LIFO, and Weighted Average Results

Several factors significantly influence the outcomes produced by any fifo lifo and weighted average calculator. Understanding these can help you interpret the results more effectively:

  • Price Trends (Inflation/Deflation): This is perhaps the most significant factor. During periods of rising prices (inflation), LIFO generally results in higher COGS and lower taxable income, while FIFO results in lower COGS and higher taxable income. The opposite occurs during deflation. The fifo lifo and weighted average calculator highlights these effects clearly.
  • Volume of Purchases and Sales: The number of units purchased and sold, and the timing of these transactions relative to price changes, directly affect the cost layers available for COGS and ending inventory calculations. High sales volume can deplete older cost layers faster under FIFO, while higher purchase volumes can influence the average cost under the weighted average method.
  • Costing of Purchases: The actual cost per unit for each purchase is fundamental. Fluctuations in raw material costs, labor, and overhead directly translate into different cost layers, impacting which method yields the highest or lowest COGS.
  • Initial Inventory Value: The cost and quantity of the starting inventory can significantly skew results, especially in the short term or if it represents a large portion of goods available for sale. A large, low-cost initial inventory can significantly lower COGS under FIFO, for example.
  • Inventory Management Practices: How efficiently a company manages its inventory (e.g., minimizing holding costs, avoiding stockouts, managing obsolescence) indirectly affects the data fed into the fifo lifo and weighted average calculator. While not a direct input, effective management ensures the data is relevant and accurate.
  • Accounting Standards (GAAP vs. IFRS): The primary difference is that LIFO is permitted under U.S. GAAP but prohibited under IFRS. Businesses reporting internationally must adhere to IFRS, making FIFO or Weighted Average the only options.
  • Tax Regulations: In jurisdictions where LIFO is permitted for tax purposes (like the U.S.), companies may choose it to reduce their current tax liability, even if it results in lower reported profits. The tax implications are a major driver for LIFO adoption.
  • Product Type and Shelf Life: For perishable goods or items prone to obsolescence, FIFO often better reflects the physical flow and prevents older stock from being written off at a higher cost later. This influences the choice of method, which then affects the financial reporting.

Frequently Asked Questions (FAQ)

Q1: Which inventory valuation method is best?

There isn't a single "best" method; it depends on your business goals, industry, accounting standards, and economic conditions. FIFO often reflects physical flow, LIFO can offer tax benefits during inflation (in the U.S.), and Weighted Average provides a smoothed cost. Use a fifo lifo and weighted average calculator to compare outcomes for your specific situation.

Q2: Can I switch inventory valuation methods?

You can switch methods, but it requires justification and accounting approval. Typically, a change must be because the new method provides a more reliable or better presentation of the company's financial position. Once changed, retrospective application might be needed, and disclosure is required. Consult with an accountant.

Q3: What is the difference between COGS and Ending Inventory?

COGS (Cost of Goods Sold) represents the cost of inventory that has been sold to customers during an accounting period. Ending Inventory represents the cost of inventory that remains unsold and on hand at the end of the period. Total Goods Available for Sale = COGS + Ending Inventory. The fifo lifo and weighted average calculator helps determine these for each method.

Q4: Why is LIFO not allowed under IFRS?

IFRS aims for transparency and reflects the economic reality of transactions. LIFO often does not reflect the actual physical flow of inventory, and it can lead to inventory valuations on the balance sheet that are significantly outdated and may not represent current market values.

Q5: How does inflation affect inventory valuation?

During inflation (rising prices), LIFO typically results in a higher COGS and lower taxable income because it matches the most recent, higher costs against sales. FIFO results in a lower COGS and higher taxable income because it uses older, lower costs. The fifo lifo and weighted average calculator demonstrates this effect.

Q6: What is the main advantage of using the Weighted Average method?

The primary advantage of the Weighted Average Cost method is its simplicity and its ability to smooth out price fluctuations. It avoids the complexity of tracking specific costs for inventory layers (as in FIFO/LIFO) and provides a more stable COGS and ending inventory value, especially in volatile markets.

Q7: Does the calculator handle negative costs?

No, the calculator is designed to work with positive costs. Negative costs are not realistic in standard inventory valuation scenarios. The input fields are validated to prevent negative numbers.

Q8: How many purchases can I add?

You can add as many purchases as needed by repeatedly clicking the "Add Purchase" button. The calculator dynamically adjusts to include all entered purchase data for its calculations.

Q9: What happens if my Sales Units are more than my Total Units Available?

This scenario indicates an error in your input data, as you cannot sell more units than you have available. The calculator will likely produce nonsensical results or error messages. Ensure your Sales Units do not exceed the sum of your Initial Inventory and all Purchases.

© 2023 Your Company Name. All rights reserved. This calculator is for educational purposes. Consult a financial professional for specific advice.

var purchaseCounter = 2; // Starts at 2 because we have 2 initial purchases function addPurchase() { var purchasesList = document.getElementById('purchasesList'); purchaseCounter++; var newPurchaseDiv = document.createElement('div'); newPurchaseDiv.className = 'purchase-item'; newPurchaseDiv.style.border = '1px solid #dcdcdc'; newPurchaseDiv.style.padding = '10px'; newPurchaseDiv.style.marginBottom = '10px'; newPurchaseDiv.style.borderRadius = '5px'; newPurchaseDiv.innerHTML = `
Number of units purchased.
Cost per unit for this purchase.
`; purchasesList.appendChild(newPurchaseDiv); } function removePurchase(button) { var purchaseItem = button.parentNode; purchaseItem.parentNode.removeChild(purchaseItem); updateChartAndResults(); // Recalculate after removal } function validateInput(inputId, errorId, minValue = null, maxValue = null) { var input = document.getElementById(inputId); var errorDiv = document.getElementById(errorId); var value = parseFloat(input.value); errorDiv.textContent = "; // Clear previous error if (input.value === ") { errorDiv.textContent = 'This field cannot be empty.'; return false; } if (isNaN(value)) { errorDiv.textContent = 'Please enter a valid number.'; return false; } if (minValue !== null && value maxValue) { errorDiv.textContent = `Value cannot exceed ${maxValue}.`; return false; } if (value < 0) { errorDiv.textContent = 'Value cannot be negative.'; return false; } return true; } function validatePurchaseInputs() { var purchaseItems = document.querySelectorAll('.purchase-item'); var allValid = true; for (var i = 0; i error div var costError = inputs[1].nextElementSibling.nextElementSibling; // small -> error div unitError.textContent = "; costError.textContent = "; var units = parseFloat(unitInput.value); var cost = parseFloat(costInput.value); if (unitInput.value === " || isNaN(units) || units < 0) { unitError.textContent = 'Invalid units.'; allValid = false; } if (costInput.value === '' || isNaN(cost) || cost = 0) { purchases.push({ units: units, cost: cost }); } }); // Calculations var totalUnitsAvailable = initialInventoryUnits; var totalCostAvailable = initialInventoryUnits * initialCostPerUnit; for (var i = 0; i totalUnitsAvailable) { document.getElementById('salesUnitsError').textContent = 'Sales units cannot exceed total available units.'; document.getElementById('results').style.display = 'none'; document.getElementById('noResults').style.display = 'block'; return; } if (unitsRemaining 0) { if (initialInventoryUnits > 0) { var unitsFromInitial = Math.min(fifoUnitsToCover, initialInventoryUnits); fifoCogs += unitsFromInitial * initialCostPerUnit; fifoUnitsToCover -= unitsFromInitial; } for (var i = 0; i < purchases.length; i++) { if (fifoUnitsToCover = 0; i–) { if (fifoUnitsLeft 0) { fifoEiValue += Math.min(fifoUnitsLeft, initialInventoryUnits) * initialCostPerUnit; } fifoEndingInventory = fifoEiValue; // LIFO Calculations var lifoCogs = 0; var lifoEndingInventory = 0; var tempSoldUnitsLifo = salesUnits; // COGS LIFO var lifoUnitsToCover = salesUnits; for (var i = purchases.length – 1; i >= 0; i–) { if (lifoUnitsToCover 0) { var unitsFromInitial = Math.min(lifoUnitsToCover, initialInventoryUnits); lifoCogs += unitsFromInitial * initialCostPerUnit; lifoUnitsToCover -= unitsFromInitial; } // Ending Inventory LIFO (using remaining units from oldest layers) var lifoUnitsLeft = unitsRemaining; var lifoEiValue = 0; if (lifoUnitsLeft > 0) { if (initialInventoryUnits > 0) { var unitsFromInitial = Math.min(lifoUnitsLeft, initialInventoryUnits); lifoEiValue += unitsFromInitial * initialCostPerUnit; lifoUnitsLeft -= unitsFromInitial; } for (var i = 0; i < purchases.length; i++) { if (lifoUnitsLeft 0.01 || Math.abs(fifoCogs – weightedAverageCogs) > 0.01) { primaryResultText = "COGS Differences: FIFO " + formatCurrency(fifoCogs) + ", LIFO " + formatCurrency(lifoCogs) + ", WA " + formatCurrency(weightedAverageCogs); } else if (Math.abs(fifoEndingInventory – lifoEndingInventory) > 0.01 || Math.abs(fifoEndingInventory – weightedAverageEndingInventory) > 0.01) { primaryResultText = "Ending Inventory Differences: FIFO " + formatCurrency(fifoEndingInventory) + ", LIFO " + formatCurrency(lifoEndingInventory) + ", WA " + formatCurrency(weightedAverageEndingInventory); } primaryResultDisplay.textContent = primaryResultText; summaryDisplay.innerHTML = ` Total Units Available: ${totalUnitsAvailable.toLocaleString()} units Total Cost Available: ${formatCurrency(totalCostAvailable)} Units Sold: ${salesUnits.toLocaleString()} units Units Remaining: ${unitsRemaining.toLocaleString()} units COGS: FIFO ${formatCurrency(fifoCogs)}, LIFO ${formatCurrency(lifoCogs)}, Weighted Average ${formatCurrency(weightedAverageCogs)} Ending Inventory: FIFO ${formatCurrency(fifoEndingInventory)}, LIFO ${formatCurrency(lifoEndingInventory)}, Weighted Average ${formatCurrency(weightedAverageEndingInventory)} `; updateChartAndResults(); } function formatCurrency(amount) { return '$' + parseFloat(amount).toFixed(2).replace(/(\d)(?=(\d{3})+(?!\d))/g, '$1,'); } function resetForm() { document.getElementById('initialInventory').value = '100'; document.getElementById('initialCostPerUnit').value = '10.00'; document.getElementById('salesUnits').value = '150'; var purchaseItems = document.querySelectorAll('.purchase-item'); for (var i = 0; i = 0) { purchases.push({ units: units, cost: cost }); } }); var totalUnitsAvailable = initialInventoryUnits; var totalCostAvailable = initialInventoryUnits * initialCostPerUnit; for (var i = 0; i < purchases.length; i++) { totalUnitsAvailable += purchases[i].units; totalCostAvailable += purchases[i].units * purchases[i].cost; } var unitsRemaining = totalUnitsAvailable – salesUnits; if (unitsRemaining 0) { var unitsFromInitial = Math.min(fifoCogsUnitsToCover, initialInventoryUnits); fifoCogs += unitsFromInitial * initialCostPerUnit; fifoCogsUnitsToCover -= unitsFromInitial; } for (var i = 0; i < purchases.length; i++) { if (fifoCogsUnitsToCover = 0; i–) { if (fifoUnitsLeft 0) { fifoEiValue += Math.min(fifoUnitsLeft, initialInventoryUnits) * initialCostPerUnit; } fifoEndingInventory = fifoEiValue; // LIFO var lifoCogs = 0; var lifoCogsUnitsToCover = salesUnits; for (var i = purchases.length – 1; i >= 0; i–) { if (lifoCogsUnitsToCover 0) { var unitsFromInitial = Math.min(lifoCogsUnitsToCover, initialInventoryUnits); lifoCogs += unitsFromInitial * initialCostPerUnit; lifoCogsUnitsToCover -= unitsFromInitial; } var lifoEndingInventory = unitsRemaining * weightedAverageCost; // Simplification for chart var lifoUnitsLeft = unitsRemaining; var lifoEiValue = 0; if (lifoUnitsLeft > 0) { if (initialInventoryUnits > 0) { var unitsFromInitial = Math.min(lifoUnitsLeft, initialInventoryUnits); lifoEiValue += unitsFromInitial * initialCostPerUnit; lifoUnitsLeft -= unitsFromInitial; } for (var i = 0; i < purchases.length; i++) { if (lifoUnitsLeft <= 0) break; var unitsFromPurchase = Math.min(lifoUnitsLeft, purchases[i].units); lifoEiValue += unitsFromPurchase * purchases[i].cost; lifoUnitsLeft -= unitsFromPurchase; } } lifoEndingInventory = lifoEiValue; // Weighted Average var weightedAverageCogs = salesUnits * weightedAverageCost; var weightedAverageEndingInventory = unitsRemaining * weightedAverageCost; chartData.datasets[0].data = [fifoCogs, fifoEndingInventory]; chartData.datasets[1].data = [lifoCogs, lifoEndingInventory]; chartData.datasets[2].data = [weightedAverageCogs, weightedAverageEndingInventory]; window.inventoryChart = new Chart(ctx, { type: 'bar', // Changed to bar for better comparison of two values data: chartData, options: { responsive: true, maintainAspectRatio: false, scales: { y: { beginAtZero: true, title: { display: true, text: 'Value ($)' } } }, plugins: { title: { display: true, text: 'Comparison of COGS vs. Ending Inventory by Method' }, tooltip: { callbacks: { label: function(context) { var label = context.dataset.label || ''; if (label) { label += ': '; } if (context.parsed.y !== null) { label += new Intl.NumberFormat('en-US', { style: 'currency', currency: 'USD' }).format(context.parsed.y); } return label; } } } } } }); } // Initial calculation on load document.addEventListener('DOMContentLoaded', function() { // Add event listeners to inputs for real-time updates var inputs = document.querySelectorAll('#calcForm input[type="number"]'); for (var i = 0; i < inputs.length; i++) { inputs[i].addEventListener('input', updateChartAndResults); } // Also listen for changes within dynamically added purchase items document.body.addEventListener('input', function(event) { if (event.target.classList.contains('purchaseUnits') || event.target.classList.contains('purchaseCostPerUnit')) { updateChartAndResults(); } }); updateChartAndResults(); // Initial calculation and chart rendering }); function toggleFaq(element) { var faqItem = element.closest('.faq-item'); faqItem.classList.toggle('active'); }

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