How to Calculate Lifo Fifo and Weighted Average

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Mastering Inventory Valuation: LIFO, FIFO, Weighted Average

Your comprehensive guide and calculator for understanding inventory cost flow methods.

Inventory Valuation Calculator

Calculate your Cost of Goods Sold (COGS) and Ending Inventory value using LIFO, FIFO, and Weighted Average methods based on your purchases.

The number of units you started with.
The cost of each unit in your starting inventory.
Units purchased in the first transaction.
Cost per unit for the first purchase.
Units purchased in the second transaction.
Cost per unit for the second purchase.
Total units sold during the period.
The selling price per unit (for context, not calculation).
Formulas Used:

LIFO (Last-In, First-Out): Assumes the most recently purchased inventory items are sold first. COGS uses the latest purchase costs, Ending Inventory uses the oldest costs.

FIFO (First-In, First-Out): Assumes the oldest inventory items are sold first. COGS uses the oldest purchase costs, Ending Inventory uses the latest costs.

Weighted Average: Calculates a single average cost for all inventory available for sale and uses it for both COGS and Ending Inventory.

Comparison of COGS and Ending Inventory Values across LIFO, FIFO, and Weighted Average Methods.

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

{primary_keyword} are fundamental accounting methods used by businesses to determine the value of their inventory and the cost of goods sold (COGS). The method chosen can significantly impact a company's reported profit, tax liability, and financial statements, especially in periods of changing prices. Understanding how to calculate {primary_keyword} is crucial for accurate financial reporting and effective inventory management.

What are LIFO, FIFO, and Weighted Average Cost?

These three methods represent different approaches to assigning costs to inventory items as they move in and out of a business. The core challenge is that identical inventory items purchased at different times and at different costs are often indistinguishable when sold. These methods provide a systematic way to allocate these costs.

Last-In, First-Out (LIFO)

The LIFO method assumes that the last units of inventory purchased are the first ones to be sold. This means that the cost of goods sold reflects the most recent prices paid for inventory, while the ending inventory reflects the costs of the oldest inventory. LIFO is often used in periods of rising prices because it can lead to a lower taxable income (higher COGS) by matching current revenues with current costs. However, it is not permitted under International Financial Reporting Standards (IFRS).

First-In, First-Out (FIFO)

The FIFO method assumes that the first units of inventory purchased are the first ones to be sold. Consequently, the cost of goods sold reflects the costs of the oldest inventory items, and the ending inventory reflects the costs of the most recently purchased items. FIFO is generally considered to provide a more realistic valuation of ending inventory because it approximates the actual physical flow of goods for many businesses. It is widely accepted under both U.S. GAAP and IFRS.

Weighted Average Cost (WAC)

The Weighted Average Cost method calculates a single average cost for all inventory items available for sale during a period. This average cost is then used to determine both the cost of goods sold and the value of ending inventory. The formula involves summing the total cost of all inventory available and dividing by the total number of units available. This method smooths out price fluctuations and provides a more stable cost figure, reducing the impact of extreme price changes on COGS and profit.

Who Should Use These Methods?

Any business that holds and sells inventory can benefit from understanding and applying these methods. This includes retailers, wholesalers, manufacturers, and distributors across various industries, such as grocery stores, electronics shops, auto parts dealers, and construction material suppliers. The choice of method can affect profitability and tax obligations, making it a strategic decision.

Common Misconceptions

  • LIFO matches physical flow: For most businesses, inventory flows physically in a FIFO manner. LIFO is an accounting convention, not necessarily a reflection of physical movement.
  • FIFO always results in the highest profit: While often true in periods of rising prices, in periods of falling prices, FIFO would result in lower profits compared to LIFO.
  • Weighted Average is complex: While it involves an average calculation, it often simplifies calculations by yielding a single cost per unit.
  • The choice doesn't matter: The choice can have significant impacts on taxes, reported income, and inventory valuation, making it a critical decision.

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

Let's break down the formulas for {primary_keyword}. We'll use the following variables:

Variable Definitions
Variable Meaning Unit Typical Range
IU0 Initial Inventory Units Units 0+
C0 Initial Inventory Cost Per Unit Currency per Unit 0.01+
PU1 Purchase 1 Units Units 0+
C1 Purchase 1 Cost Per Unit Currency per Unit 0.01+
PU2 Purchase 2 Units Units 0+
C2 Purchase 2 Cost Per Unit Currency per Unit 0.01+
SUSales Units Sold Units 0+
SPUnit Sales Price Per Unit (Contextual) Currency per Unit 0.01+

Total Inventory Available for Sale

Before calculating COGS and Ending Inventory, we determine the total units and total cost available:

Total Units Available = IU0 + PU1 + PU2

Total Cost Available = (IU0 * C0) + (PU1 * C1) + (PU2 * C2)

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

LIFO assumes the most recent purchases are sold first. This means COGS is calculated using the latest costs, and ending inventory consists of the earliest costs.

  • COGS (LIFO): You assign costs starting from the latest purchase (Purchase 2), then Purchase 1, then Initial Inventory, until SUSales units are accounted for.
  • Ending Inventory (LIFO): The remaining units are valued at the oldest costs (Initial Inventory, then Purchase 1, etc.).

Derivation:

  1. Start with SUSales units.
  2. If PU2 >= SUSales, then COGS = SUSales * C2. Remaining Inventory = (IU0 * C0) + (PU1 * C1) + (PU2 – SUSales) * C2.
  3. If PU2 < SUSales, assign all PU2 * C2 to COGS. Remaining units to cost = SUSales – PU2.
  4. If PU1 >= Remaining units, assign Remaining units * C1 to COGS. Remaining Inventory = (IU0 * C0) + (PU2 units valued at C2) + (PU1 – Remaining units) * C1.
  5. Continue this process, pulling from the most recent layers first for COGS, until all SUSales are costed. The inventory left over is the Ending Inventory.

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

FIFO assumes the oldest purchases are sold first. COGS is calculated using the oldest costs, and ending inventory consists of the most recent costs.

  • COGS (FIFO): You assign costs starting from the Initial Inventory, then Purchase 1, then Purchase 2, until SUSales units are accounted for.
  • Ending Inventory (FIFO): The remaining units are valued at the latest costs (Purchase 2, then Purchase 1, etc.).

Derivation:

  1. Start with SUSales units.
  2. Assign costs from IU0: If IU0 >= SUSales, then COGS = SUSales * C0. Remaining Inventory = (IU0 – SUSales) * C0 + (PU1 * C1) + (PU2 * C2).
  3. If IU0 < SUSales, assign all IU0 * C0 to COGS. Remaining units to cost = SUSales – IU0.
  4. Assign costs from PU1: If PU1 >= Remaining units, assign Remaining units * C1 to COGS. Remaining Inventory = (PU1 – Remaining units) * C1 + (PU2 * C2).
  5. Continue this process, pulling from the oldest layers first for COGS, until all SUSales are costed. The inventory left over is the Ending Inventory.

3. Weighted Average Cost (WAC)

This method calculates a single average cost for all units available for sale.

  • Weighted Average Cost Per Unit: WAC = Total Cost Available / Total Units Available
  • COGS (Weighted Average): COGS = SUSales * WAC
  • Ending Inventory (Weighted Average): Ending Inventory = (Total Units Available – SUSales) * WAC

This method provides a blended cost that smooths out price fluctuations.

Practical Examples (Real-World Use Cases)

Example 1: Rising Prices Scenario

A small electronics retailer has the following inventory data for a month:

  • Initial Inventory: 100 units @ $50 each
  • Purchase 1: 200 units @ $55 each
  • Purchase 2: 150 units @ $60 each
  • Units Sold: 300 units

Calculations:

  • Total Units Available = 100 + 200 + 150 = 450 units
  • Total Cost Available = (100 * $50) + (200 * $55) + (150 * $60) = $5,000 + $11,000 + $9,000 = $25,000

LIFO Calculation:

  • COGS: 150 units from Purchase 2 ($60) + 150 units from Purchase 1 ($55) = (150 * $60) + (150 * $55) = $9,000 + $8,250 = $17,250
  • Ending Inventory: 50 units from Purchase 1 ($55) + 100 units from Initial Inventory ($50) = (50 * $55) + (100 * $50) = $2,750 + $5,000 = $7,750
  • Total = $17,250 + $7,750 = $25,000 (Matches Total Cost Available)

FIFO Calculation:

  • COGS: 100 units from Initial Inventory ($50) + 200 units from Purchase 1 ($55) = (100 * $50) + (200 * $55) = $5,000 + $11,000 = $16,000
  • Ending Inventory: 50 units from Purchase 2 ($60) + 100 units from Purchase 2 ($60) = (50 * $60) + (100 * $60) = $3,000 + $6,000 = $9,000
  • Total = $16,000 + $9,000 = $25,000 (Matches Total Cost Available)

Weighted Average Calculation:

  • WAC Per Unit = $25,000 / 450 units = $55.56 (approx.)
  • COGS = 300 units * $55.56 = $16,666.67 (approx.)
  • Ending Inventory = (450 – 300) units * $55.56 = 150 units * $55.56 = $8,333.33 (approx.)
  • Total = $16,666.67 + $8,333.33 = $25,000 (Matches Total Cost Available)

Interpretation: In this rising price environment, LIFO results in the highest COGS ($17,250) and lowest Ending Inventory ($7,750), leading to lower taxable income. FIFO results in the lowest COGS ($16,000) and highest Ending Inventory ($9,000), leading to higher taxable income. Weighted Average falls in between.

Example 2: Fluctuating Prices Scenario

A craft supply store has the following:

  • Initial Inventory: 50 units @ $4.00 each
  • Purchase 1: 100 units @ $3.50 each (prices dropped)
  • Purchase 2: 80 units @ $4.20 each (prices rose again)
  • Units Sold: 150 units

Calculations:

  • Total Units Available = 50 + 100 + 80 = 230 units
  • Total Cost Available = (50 * $4.00) + (100 * $3.50) + (80 * $4.20) = $200 + $350 + $336 = $886

LIFO Calculation:

  • COGS: 80 units from Purchase 2 ($4.20) + 70 units from Purchase 1 ($3.50) = (80 * $4.20) + (70 * $3.50) = $336 + $245 = $581
  • Ending Inventory: 30 units from Purchase 1 ($3.50) + 50 units from Initial Inventory ($4.00) = (30 * $3.50) + (50 * $4.00) = $105 + $200 = $305
  • Total = $581 + $305 = $886

FIFO Calculation:

  • COGS: 50 units from Initial Inventory ($4.00) + 100 units from Purchase 1 ($3.50) = (50 * $4.00) + (100 * $3.50) = $200 + $350 = $550
  • Ending Inventory: 80 units from Purchase 2 ($4.20) = 80 * $4.20 = $336
  • Total = $550 + $336 = $886

Weighted Average Calculation:

  • WAC Per Unit = $886 / 230 units = $3.85 (approx.)
  • COGS = 150 units * $3.85 = $577.50 (approx.)
  • Ending Inventory = (230 – 150) units * $3.85 = 80 units * $3.85 = $308.00 (approx.)
  • Total = $577.50 + $308.00 = $886

Interpretation: In this fluctuating price scenario, LIFO ($581) yields a higher COGS than FIFO ($550). The weighted average ($577.50) is again in the middle. The choice impacts reported profit and taxes.

How to Use This LIFO, FIFO, Weighted Average Calculator

Our calculator simplifies the process of determining inventory costs using these three methods. Follow these steps:

  1. Input Initial Inventory: Enter the number of units you started with and their cost per unit.
  2. Input Purchases: For each subsequent purchase, enter the number of units acquired and their cost per unit. Our calculator supports up to two additional purchases for demonstration.
  3. Input Units Sold: Enter the total number of inventory units that were sold during the period.
  4. Input Sales Price (Optional): While not used in COGS calculation, the sales price per unit can provide context for profitability analysis.
  5. Click "Calculate Costs": The calculator will instantly process the data and display the results for LIFO, FIFO, and Weighted Average methods.

How to Read Results

  • Primary Result: This typically highlights the Cost of Goods Sold (COGS) under one of the methods, or perhaps the difference in net income, to show the immediate impact.
  • Intermediate Values: You'll see the calculated COGS and Ending Inventory for LIFO, FIFO, and Weighted Average.
  • Total Cost of Goods Available: Ensure the sum of your calculated COGS and Ending Inventory equals the Total Cost of Goods Available for Sale.

Decision-Making Guidance

  • Tax Implications: In periods of rising prices, LIFO generally results in lower taxable income due to higher COGS. Choose LIFO if tax savings are a priority and allowed by your accounting standards.
  • Financial Reporting: FIFO often provides a more realistic ending inventory valuation that aligns with the physical flow of goods. It's also IFRS-compliant.
  • Stability: Weighted Average provides a smoothed cost, reducing the volatility of COGS and profits compared to LIFO or FIFO during price fluctuations.
  • Simplicity: Weighted Average can be simpler to manage than tracking specific costs under LIFO or FIFO, especially with frequent purchases.

Consider consulting with an accountant to determine the best method for your specific business needs and regulatory environment. Understanding the differences in COGS and ending inventory valuation is key to making informed financial decisions.

Key Factors That Affect {primary_keyword} Results

Several factors influence the outcomes of LIFO, FIFO, and Weighted Average calculations, impacting your COGS, ending inventory, and ultimately, your profit margins and tax liabilities.

  1. Price Trends (Inflation/Deflation):

    This is the most significant factor. In periods of rising prices (inflation), LIFO yields higher COGS and lower taxable income, while FIFO yields lower COGS and higher taxable income. The opposite occurs during deflation.

  2. Volume of Purchases and Sales:

    The number of units purchased at various price points and the quantity sold directly affect the cost layers available for expensing (COGS) and valuing remaining inventory. High sales volumes relative to inventory can deplete older, cheaper layers faster under FIFO, or newer, expensive layers faster under LIFO.

  3. Frequency of Transactions:

    More frequent purchases and sales mean more layers of cost to track. This makes the Weighted Average method appealing for its simplicity, averaging out costs across many transactions. LIFO and FIFO require more meticulous record-keeping to track which specific units are assumed sold.

  4. Inventory Turnover Rate:

    A high turnover rate means inventory is sold and replaced quickly. This can lead to the LIFO reserve (the difference between LIFO and FIFO inventory values) growing larger during inflation, as recent, higher costs are expensed more rapidly.

  5. Accounting Standards (GAAP vs. IFRS):

    LIFO is permitted under U.S. Generally Accepted Accounting Principles (GAAP) but is prohibited under International Financial Reporting Standards (IFRS). Businesses reporting internationally must use FIFO or Weighted Average. This impacts comparability of financial statements.

  6. Industry Practices:

    Certain industries have norms. For example, businesses dealing with perishable goods often naturally follow FIFO. The nature of the product (e.g., interchangeable commodities vs. unique items) can influence the perceived effectiveness of each method.

  7. Tax Regulations:

    The LIFO conformity rule in the U.S. requires that if a company uses LIFO for tax purposes, it must also use it for financial reporting purposes. This is a critical consideration for businesses seeking tax advantages from LIFO.

  8. Cost Tracking Accuracy:

    The accuracy of the input data (unit counts and costs per unit) is paramount. Errors in tracking initial inventory, purchases, or sales will lead to incorrect COGS and ending inventory valuations, regardless of the method used. Ensure your [inventory management system](https://example.com/inventory-systems) is robust.

Frequently Asked Questions (FAQ)

Q1: Can a company switch between LIFO, FIFO, and Weighted Average methods?

A1: Changing accounting methods is generally permitted only if the new method is considered preferable and results in more accurate financial reporting. Such changes require justification and disclosure in financial statements. It's not done casually.

Q2: Which method is best for minimizing taxes?

A2: In periods of rising prices, LIFO typically results in the lowest taxable income because it matches current revenues with higher, more recent costs, thereby reducing profit. However, this is only relevant if LIFO is permitted and chosen.

Q3: Does LIFO reflect the actual physical flow of inventory?

A3: Rarely. For most businesses, inventory is sold in the order it is received (FIFO). LIFO is an accounting assumption designed to match current costs with current revenues for tax or reporting purposes, not to mirror physical movement.

Q4: What is the "LIFO reserve"?

A4: The LIFO reserve is the difference between the value of inventory reported under LIFO and the value it would have had if FIFO had been used. It represents the cumulative effect of using LIFO during periods of inflation.

Q5: Why is Weighted Average called "Cost Averaging"?

A5: It's called "cost averaging" because it computes a single average cost for all identical items available for sale, smoothing out price variations from different purchase lots.

Q6: How do these methods impact Gross Profit?

A6: Gross Profit = Sales Revenue – Cost of Goods Sold (COGS). Since LIFO, FIFO, and Weighted Average produce different COGS figures, they will also result in different Gross Profit figures, assuming sales revenue remains constant.

Q7: What happens if a company uses LIFO and inventory levels decrease significantly?

A7: If inventory levels decline below the point where LIFO layers were last added, the company may start expensing older, potentially lower costs from previous LIFO layers. This can artificially inflate reported profits and increase tax liability, known as a "LIFO liquidation".

Q8: Are there other inventory costing methods besides these three?

A8: Yes, the most common is the Specific Identification Method, used for unique, high-value items (like cars or custom jewelry) where each item's actual cost can be tracked. However, LIFO, FIFO, and Weighted Average are the primary methods for fungible goods.

Q9: How does the choice of method affect inventory turnover ratios?

A9: Since different methods result in different Ending Inventory values, they will affect the Inventory Turnover ratio (COGS / Average Inventory). A lower Ending Inventory (like LIFO in inflation) will result in a higher turnover ratio, and vice versa.

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function validateInput(id, errorId, min, max) { var input = document.getElementById(id); var value = parseFloat(input.value); var errorDiv = document.getElementById(errorId); errorDiv.textContent = ""; // Clear previous error if (isNaN(value)) { errorDiv.textContent = "Please enter a valid number."; return false; } if (value < 0) { errorDiv.textContent = "Value cannot be negative."; return false; } if (min !== undefined && value max) { errorDiv.textContent = "Value cannot exceed " + max + "."; return false; } return true; } function calculateInventory() { // Clear all previous error messages var errorMessages = document.querySelectorAll('.error-message'); for (var i = 0; i totalUnitsAvailable) { document.getElementById('salesUnitsError').textContent = "Units sold cannot exceed total units available."; isValid = false; } if (!isValid) { return; } // — LIFO Calculation — var cogsLifo = 0; var endingInventoryLifo = 0; var remainingUnitsToCostLifo = salesUnits; var unitsForEndingLifo = totalUnitsAvailable – salesUnits; var currentEndingUnitsLifo = 0; // COGS LIFO if (remainingUnitsToCostLifo > 0) { var unitsFromPurchase2 = Math.min(remainingUnitsToCostLifo, purchase2Units); cogsLifo += unitsFromPurchase2 * purchase2CostPerUnit; remainingUnitsToCostLifo -= unitsFromPurchase2; } if (remainingUnitsToCostLifo > 0) { var unitsFromPurchase1 = Math.min(remainingUnitsToCostLifo, purchase1Units); cogsLifo += unitsFromPurchase1 * purchase1CostPerUnit; remainingUnitsToCostLifo -= unitsFromPurchase1; } if (remainingUnitsToCostLifo > 0) { var unitsFromInitial = Math.min(remainingUnitsToCostLifo, initialInventoryUnits); cogsLifo += unitsFromInitial * initialInventoryCostPerUnit; remainingUnitsToCostLifo -= unitsFromInitial; } // Ending Inventory LIFO if (currentEndingUnitsLifo < unitsForEndingLifo) { var unitsForEndingFromInitial = Math.min(unitsForEndingLifo – currentEndingUnitsLifo, initialInventoryUnits); endingInventoryLifo += unitsForEndingFromInitial * initialInventoryCostPerUnit; currentEndingUnitsLifo += unitsForEndingFromInitial; } if (currentEndingUnitsLifo < unitsForEndingLifo) { var unitsForEndingFromPurchase1 = Math.min(unitsForEndingLifo – currentEndingUnitsLifo, purchase1Units); endingInventoryLifo += unitsForEndingFromPurchase1 * purchase1CostPerUnit; currentEndingUnitsLifo += unitsForEndingFromPurchase1; } if (currentEndingUnitsLifo 0) { var unitsFromInitial = Math.min(remainingUnitsToCostFifo, initialInventoryUnits); cogsFifo += unitsFromInitial * initialInventoryCostPerUnit; remainingUnitsToCostFifo -= unitsFromInitial; } if (remainingUnitsToCostFifo > 0) { var unitsFromPurchase1 = Math.min(remainingUnitsToCostFifo, purchase1Units); cogsFifo += unitsFromPurchase1 * purchase1CostPerUnit; remainingUnitsToCostFifo -= unitsFromPurchase1; } if (remainingUnitsToCostFifo > 0) { var unitsFromPurchase2 = Math.min(remainingUnitsToCostFifo, purchase2Units); cogsFifo += unitsFromPurchase2 * purchase2CostPerUnit; remainingUnitsToCostFifo -= unitsFromPurchase2; } // Ending Inventory FIFO if (currentEndingUnitsFifo < unitsForEndingFifo) { var unitsForEndingFromPurchase2 = Math.min(unitsForEndingFifo – currentEndingUnitsFifo, purchase2Units); endingInventoryFifo += unitsForEndingFromPurchase2 * purchase2CostPerUnit; currentEndingUnitsFifo += unitsForEndingFromPurchase2; } if (currentEndingUnitsFifo < unitsForEndingFifo) { var unitsForEndingFromPurchase1 = Math.min(unitsForEndingFifo – currentEndingUnitsFifo, purchase1Units); endingInventoryFifo += unitsForEndingFromPurchase1 * purchase1CostPerUnit; currentEndingUnitsFifo += unitsForEndingFromPurchase1; } if (currentEndingUnitsFifo 0) { weightedAverageCostPerUnit = totalCostAvailable / totalUnitsAvailable; cogsWeightedAverage = salesUnits * weightedAverageCostPerUnit; endingInventoryWeightedAverage = (totalUnitsAvailable – salesUnits) * weightedAverageCostPerUnit; } // Display Results var primaryResultElement = document.getElementById('primaryResult'); primaryResultElement.textContent = "COGS (LIFO): $" + cogsLifo.toFixed(2); // Primary result example document.getElementById('cogsLifo').textContent = "COGS (LIFO): $" + cogsLifo.toFixed(2); document.getElementById('endingInventoryLifo').textContent = "Ending Inventory (LIFO): $" + endingInventoryLifo.toFixed(2); document.getElementById('cogsFifo').textContent = "COGS (FIFO): $" + cogsFifo.toFixed(2); document.getElementById('endingInventoryFifo').textContent = "Ending Inventory (FIFO): $" + endingInventoryFifo.toFixed(2); document.getElementById('weightedAverageCost').textContent = "Weighted Average Cost Per Unit: $" + weightedAverageCostPerUnit.toFixed(2); document.getElementById('cogsWeightedAverage').textContent = "COGS (Weighted Average): $" + cogsWeightedAverage.toFixed(2); document.getElementById('endingInventoryWeightedAverage').textContent = "Ending Inventory (Weighted Average): $" + endingInventoryWeightedAverage.toFixed(2); // Update Chart updateChart(cogsLifo, endingInventoryLifo, cogsFifo, endingInventoryFifo, cogsWeightedAverage, endingInventoryWeightedAverage); } function resetCalculator() { document.getElementById('initialInventoryUnits').value = "100"; document.getElementById('initialInventoryCostPerUnit').value = "5.00"; document.getElementById('purchase1Units').value = "200"; document.getElementById('purchase1CostPerUnit').value = "5.50"; document.getElementById('purchase2Units').value = "150"; document.getElementById('purchase2CostPerUnit').value = "6.20"; document.getElementById('salesUnits').value = "300"; document.getElementById('salesPricePerUnit').value = "10.00"; // Clear error messages var errorMessages = document.querySelectorAll('.error-message'); for (var i = 0; i < errorMessages.length; i++) { errorMessages[i].textContent = ''; } calculateInventory(); // Recalculate with default values } function copyResults() { var cogsLifo = document.getElementById('cogsLifo').textContent; var endingInventoryLifo = document.getElementById('endingInventoryLifo').textContent; var cogsFifo = document.getElementById('cogsFifo').textContent; var endingInventoryFifo = document.getElementById('endingInventoryFifo').textContent; var weightedAverageCost = document.getElementById('weightedAverageCost').textContent; var cogsWeightedAverage = document.getElementById('cogsWeightedAverage').textContent; var endingInventoryWeightedAverage = document.getElementById('endingInventoryWeightedAverage').textContent; var primaryResult = document.getElementById('primaryResult').textContent; var assumptions = "Key Assumptions:\n"; assumptions += "Initial Inventory Units: " + document.getElementById('initialInventoryUnits').value + "\n"; assumptions += "Initial Inventory Cost/Unit: $" + parseFloat(document.getElementById('initialInventoryCostPerUnit').value).toFixed(2) + "\n"; assumptions += "Purchase 1 Units: " + document.getElementById('purchase1Units').value + "\n"; assumptions += "Purchase 1 Cost/Unit: $" + parseFloat(document.getElementById('purchase1CostPerUnit').value).toFixed(2) + "\n"; assumptions += "Purchase 2 Units: " + document.getElementById('purchase2Units').value + "\n"; assumptions += "Purchase 2 Cost/Unit: $" + parseFloat(document.getElementById('purchase2CostPerUnit').value).toFixed(2) + "\n"; assumptions += "Units Sold: " + document.getElementById('salesUnits').value + "\n"; var resultsText = "Inventory Valuation Results:\n\n"; resultsText += "Primary Result:\n" + primaryResult + "\n\n"; resultsText += "LIFO:\n" + cogsLifo + "\n" + endingInventoryLifo + "\n\n"; resultsText += "FIFO:\n" + cogsFifo + "\n" + endingInventoryFifo + "\n\n"; resultsText += "Weighted Average:\n" + weightedAverageCost + "\n" + cogsWeightedAverage + "\n" + endingInventoryWeightedAverage + "\n\n"; resultsText += assumptions; try { navigator.clipboard.writeText(resultsText).then(function() { alert('Results copied to clipboard!'); }); } catch (err) { console.error('Failed to copy: ', err); alert('Failed to copy results. Please copy manually.'); } } // Charting Logic var inventoryChart; // Global variable to hold chart instance function updateChart(cogsLifo, endingLifo, cogsFifo, endingFifo, cogsWAC, endingWAC) { var ctx = document.getElementById('inventoryCostChart').getContext('2d'); // Destroy previous chart instance if it exists if (inventoryChart) { inventoryChart.destroy(); } // Create new chart inventoryChart = new Chart(ctx, { type: 'bar', data: { labels: ['LIFO', 'FIFO', 'Weighted Average'], datasets: [{ label: 'Cost of Goods Sold (COGS)', data: [cogsLifo, cogsFifo, cogsWAC], backgroundColor: 'rgba(0, 74, 153, 0.6)', // Primary color borderColor: 'rgba(0, 74, 153, 1)', borderWidth: 1 }, { label: 'Ending Inventory Value', data: [endingLifo, endingFifo, endingWAC], backgroundColor: 'rgba(40, 167, 69, 0.6)', // Success color borderColor: 'rgba(40, 167, 69, 1)', borderWidth: 1 }] }, options: { responsive: true, maintainAspectRatio: false, scales: { y: { beginAtZero: true, title: { display: true, text: 'Value ($)' } } }, plugins: { title: { display: true, text: 'Comparison of COGS and Ending Inventory' }, legend: { position: 'top', } } } }); } // Initial calculation and chart render on page load document.addEventListener('DOMContentLoaded', function() { // Use a placeholder for Chart.js or implement a simpler native canvas drawing if Chart.js is not assumed // For this example, let's assume Chart.js is available or we'll draw manually. // If Chart.js is not available, this section would need a native canvas drawing implementation. // Placeholder for Chart.js – replace with actual Chart.js initialization if available // Or implement native canvas drawing logic here. // For now, we'll call calculateInventory to set initial values and prepare for chart update. calculateInventory(); // This will also trigger the chart update. // To make the chart work without external libraries, we would need to: // 1. Get the canvas context: var ctx = document.getElementById('inventoryCostChart').getContext('2d'); // 2. Manually draw bars using ctx.fillRect() and calculate positions/heights based on data. // This is more complex, so for a production-ready example, Chart.js is often preferred. // If native canvas is required: /* var canvas = document.getElementById('inventoryCostChart'); var ctx = canvas.getContext('2d'); canvas.width = canvas.parentElement.offsetWidth; // Adjust size canvas.height = 300; // Set a fixed height // Example manual drawing logic (simplified) – requires data from calculateInventory var initialData = { cogsLifo: 0, endingLifo: 0, cogsFifo: 0, endingFifo: 0, cogsWAC: 0, endingWAC: 0 }; // Call calculateInventory first to populate initialData properly // Then draw based on initialData // updateChart(initialData.cogsLifo, initialData.endingLifo, …); // Call after calculateInventory() */ }); // — Native Canvas Implementation for Chart — // This replaces the Chart.js part if no external libraries are allowed. function drawNativeChart(cogsLifo, endingLifo, cogsFifo, endingFifo, cogsWAC, endingWAC) { var canvas = document.getElementById('inventoryCostChart'); var ctx = canvas.getContext('2d'); var chartWidth = canvas.parentElement.offsetWidth; var chartHeight = 300; canvas.width = chartWidth; canvas.height = chartHeight; ctx.clearRect(0, 0, chartWidth, chartHeight); // Clear previous drawings var data = { labels: ['LIFO', 'FIFO', 'Weighted Average'], datasets: [ { label: 'COGS', values: [cogsLifo, cogsFifo, cogsWAC], color: 'rgba(0, 74, 153, 0.6)' }, { label: 'Ending Inventory', values: [endingLifo, endingFifo, endingWAC], color: 'rgba(40, 167, 69, 0.6)' } ] }; var barWidth = (chartWidth * 0.8) / (data.labels.length * 2); // Width for each bar group var gapBetweenBars = barWidth * 0.2; var totalBarWidth = barWidth * 2 + gapBetweenBars; var padding = chartWidth * 0.1; // Padding on sides var maxValue = 0; for (var i = 0; i < data.datasets.length; i++) { for (var j = 0; j maxValue) { maxValue = data.datasets[i].values[j]; } } } if (maxValue === 0) maxValue = 1; // Prevent division by zero // Draw Y-axis labels and grid ctx.fillStyle = '#333′; ctx.font = '12px Arial'; var gridLines = 5; for (var i = 0; i <= gridLines; i++) { var yPos = chartHeight – padding – (i * (chartHeight – 2 * padding) / gridLines); var value = Math.round(i * maxValue / gridLines); ctx.fillText(value.toFixed(0), padding – 30, yPos + 4); ctx.beginPath(); ctx.moveTo(padding, yPos); ctx.lineTo(chartWidth – padding, yPos); ctx.strokeStyle = '#eee'; ctx.stroke(); } // Draw Bars for (var i = 0; i < data.labels.length; i++) { var xPos = padding + i * totalBarWidth + (totalBarWidth / 2); // COGS Bar var cogsValue = data.datasets[0].values[i]; var cogsHeight = (cogsValue / maxValue) * (chartHeight – 2 * padding); ctx.fillStyle = data.datasets[0].color; ctx.fillRect(xPos – barWidth – gapBetweenBars / 2, chartHeight – padding – cogsHeight, barWidth, cogsHeight); // Ending Inventory Bar var endingValue = data.datasets[1].values[i]; var endingHeight = (endingValue / maxValue) * (chartHeight – 2 * padding); ctx.fillStyle = data.datasets[1].color; ctx.fillRect(xPos + gapBetweenBars / 2, chartHeight – padding – endingHeight, barWidth, endingHeight); // Labels ctx.fillStyle = '#004a99'; ctx.fillText(data.labels[i], xPos, chartHeight – padding + 15); } // Draw legend manually (simplified) ctx.font = '12px Arial'; ctx.fillStyle = '#333'; var legendX = padding; var legendY = 10; var legendItemHeight = 20; // LIFO Legend ctx.fillStyle = data.datasets[0].color; ctx.fillRect(legendX, legendY, 15, 10); ctx.fillStyle = '#333'; ctx.fillText(data.datasets[0].label, legendX + 20, legendY + 10); // FIFO Legend (placeholder, adjust as needed) ctx.fillStyle = data.datasets[1].color; ctx.fillRect(legendX + 80, legendY, 15, 10); ctx.fillStyle = '#333'; ctx.fillText(data.datasets[1].label, legendX + 100, legendY + 10); } // Modify updateChart to call drawNativeChart function updateChart(cogsLifo, endingLifo, cogsFifo, endingFifo, cogsWAC, endingWAC) { drawNativeChart(cogsLifo, endingLifo, cogsFifo, endingFifo, cogsWAC, endingWAC); } // Ensure calculateInventory calls the correct updateChart document.addEventListener('DOMContentLoaded', function() { resetCalculator(); // Set default values and calculate // The resetCalculator calls calculateInventory which then calls updateChart });

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