How to Calculate Cogs Using Weighted Average

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How to Calculate COGS Using Weighted Average

Your essential guide and interactive tool for understanding inventory valuation and cost of goods sold.

Weighted Average COGS Calculator

Total cost of your starting inventory.
Number of units in your starting inventory.
Total cost of all inventory purchased during the period.
Number of units purchased during the period.
Number of units sold during the period.

Results

Weighted Average Cost Per Unit
Total Cost of Goods Available for Sale
Cost of Goods Sold (COGS)
Ending Inventory Cost
Units in Ending Inventory
Formula Used (Weighted Average):

1. Cost of Goods Available for Sale (COGAS) = Initial Inventory Cost + Period Purchases Cost

2. Weighted Average Cost Per Unit (WACPU) = COGAS / (Initial Inventory Units + Period Purchases Units)

3. Cost of Goods Sold (COGS) = Units Sold * WACPU

4. Ending Inventory Cost = Ending Inventory Units * WACPU

Inventory Cost Distribution

Inventory Movement Summary
Metric Value Unit
Initial Inventory Cost $
Initial Inventory Units Units
Period Purchases Cost $
Period Purchases Units Units
Total Goods Available for Sale (Cost) $
Total Goods Available for Sale (Units) Units
Units Sold Units
Weighted Average Cost Per Unit $/Unit
Cost of Goods Sold (COGS) $
Ending Inventory Units Units
Ending Inventory Cost $

What is Calculating COGS Using Weighted Average?

Calculating Cost of Goods Sold (COGS) using the weighted average method is a crucial inventory costing technique. It's used by businesses to determine the direct costs attributable to the goods they sell during a specific period. The weighted average method assigns an average cost to all inventory items, smoothing out price fluctuations from different purchase batches. This approach is particularly useful for businesses that deal with homogeneous inventory items, where individual item costs are difficult to track, or where inventory is frequently mixed.

Who Should Use It? Businesses that hold large quantities of inventory, particularly those dealing with fungible goods like grains, liquids, or bulk commodities, find the weighted average COGS method highly effective. Retailers, wholesalers, and manufacturers that purchase goods at varying costs but sell them interchangeably benefit from this method's simplicity and ability to provide a more stable COGS figure. It helps in presenting a more consistent financial picture compared to methods that might show volatile cost fluctuations.

Common Misconceptions:

  • It ignores actual purchase prices: While it averages costs, it's derived from actual purchase data. It doesn't invent costs.
  • It's only for identical items: It's best for identical or very similar items where distinguishing individual purchase costs is impractical or unnecessary.
  • It always results in the lowest COGS: This is false. Depending on price trends, it can result in higher or lower COGS than FIFO or LIFO.
  • It's complex to implement: Compared to LIFO, it's relatively straightforward, especially with inventory management software.

Weighted Average COGS Formula and Mathematical Explanation

The weighted average cost method calculates COGS by first determining a weighted average cost per unit of inventory. This average cost is then applied to the units sold to arrive at the COGS. The process is methodical and relies on the total cost and total units available for sale.

Step-by-step derivation:

  1. Calculate Total Cost of Goods Available for Sale (COGAS): This is the sum of the cost of your initial inventory (beginning inventory) and the cost of all inventory purchased during the period.
    COGAS = Beginning Inventory Cost + Purchases Cost
  2. Calculate Total Units Available for Sale: This is the sum of the units in your beginning inventory and the units purchased during the period.
    Total Units Available = Beginning Inventory Units + Purchases Units
  3. Calculate Weighted Average Cost Per Unit (WACPU): Divide the total cost of goods available for sale by the total units available for sale.
    WACPU = COGAS / Total Units Available
  4. Calculate Cost of Goods Sold (COGS): Multiply the number of units sold by the weighted average cost per unit.
    COGS = Units Sold * WACPU
  5. Calculate Ending Inventory Cost: This is the cost remaining in inventory. It can be calculated by subtracting COGS from COGAS, or by multiplying the remaining units by the WACPU.
    Ending Inventory Cost = COGAS - COGS
    OR
    Ending Inventory Units = Total Units Available - Units Sold
    Ending Inventory Cost = Ending Inventory Units * WACPU

Variables Explained

Variable Definitions for Weighted Average COGS Calculation
Variable Meaning Unit Typical Range
Beginning Inventory Cost The total cost of inventory held at the start of the accounting period. $ $0 to potentially millions, depending on business size.
Beginning Inventory Units The number of physical units held at the start of the accounting period. Units 0 to potentially millions, depending on business size.
Purchases Cost The total cost incurred for all inventory acquired during the accounting period, including direct costs and any freight-in. $ $0 to potentially millions.
Purchases Units The total number of physical units acquired during the accounting period. Units 0 to potentially millions.
COGAS (Cost of Goods Available for Sale) The total cost of all inventory that was available to be sold during the period. $ Sum of Beginning Inventory Cost and Purchases Cost.
Total Units Available The total number of inventory units that could have been sold during the period. Units Sum of Beginning Inventory Units and Purchases Units.
Units Sold The number of inventory units sold to customers during the period. Units 0 up to Total Units Available.
Weighted Average Cost Per Unit (WACPU) The average cost assigned to each unit of inventory after considering all purchases. $/Unit Positive value, derived from total costs and units.
Cost of Goods Sold (COGS) The total cost associated with the units that were actually sold. $ Units Sold * WACPU.
Ending Inventory Cost The total cost of inventory remaining unsold at the end of the period. $ COGAS – COGS.
Ending Inventory Units The number of physical units remaining unsold at the end of the period. Units Total Units Available – Units Sold.

Practical Examples (Real-World Use Cases)

Example 1: Retail Store – Electronics

A small electronics store starts the month with 10 smartphones valued at $500 each. During the month, they purchase 20 more smartphones at $520 each and sell 15 smartphones.

Inputs:

  • Initial Inventory Cost: 10 units * $500/unit = $5,000
  • Initial Inventory Units: 10 units
  • Period Purchases Cost: 20 units * $520/unit = $10,400
  • Period Purchases Units: 20 units
  • Units Sold: 15 units

Calculations:

  • COGAS = $5,000 (initial) + $10,400 (purchases) = $15,400
  • Total Units Available = 10 (initial) + 20 (purchases) = 30 units
  • WACPU = $15,400 / 30 units = $513.33 per unit (approx.)
  • COGS = 15 units sold * $513.33/unit = $7,700.00 (approx.)
  • Ending Inventory Units = 30 total units – 15 units sold = 15 units
  • Ending Inventory Cost = 15 units * $513.33/unit = $7,700.00 (approx.)

Financial Interpretation: The store reports $7,700 as its COGS for the period. The remaining $7,700 is the value of the 15 smartphones left in inventory. The weighted average method smooths out the $20 difference per unit between the initial batch and the new purchases.

Example 2: Wholesaler – Office Supplies

A wholesaler of printer paper begins with 100 reams costing $5 per ream. They acquire 150 more reams at $5.50 per ream and sell 200 reams.

Inputs:

  • Initial Inventory Cost: 100 units * $5/unit = $500
  • Initial Inventory Units: 100 units
  • Period Purchases Cost: 150 units * $5.50/unit = $825
  • Period Purchases Units: 150 units
  • Units Sold: 200 units

Calculations:

  • COGAS = $500 (initial) + $825 (purchases) = $1,325
  • Total Units Available = 100 (initial) + 150 (purchases) = 250 units
  • WACPU = $1,325 / 250 units = $5.30 per unit
  • COGS = 200 units sold * $5.30/unit = $1,060
  • Ending Inventory Units = 250 total units – 200 units sold = 50 units
  • Ending Inventory Cost = 50 units * $5.30/unit = $265

Financial Interpretation: The wholesaler records $1,060 as COGS. The ending inventory is valued at $265. This method helps in providing a stable cost basis for managing inventory and calculating gross profit, especially when paper prices fluctuate slightly.

How to Use This Weighted Average COGS Calculator

Our Weighted Average COGS Calculator is designed for simplicity and accuracy. Follow these steps to get instant results:

  1. Enter Initial Inventory Data: Input the total cost and the number of units for your inventory at the beginning of the period.
  2. Enter Period Purchases Data: Input the total cost and the number of units for all inventory purchased during the period.
  3. Enter Units Sold: Provide the total number of units that were sold to customers during the period.
  4. Calculate: Click the "Calculate COGS" button. The calculator will automatically compute and display:
    • Weighted Average Cost Per Unit (WACPU)
    • Cost of Goods Available for Sale (COGAS)
    • Cost of Goods Sold (COGS)
    • Ending Inventory Cost
    • Ending Inventory Units
  5. Interpret Results: The main highlighted result is your calculated COGS. The other figures provide a complete picture of your inventory valuation.
  6. Use Other Buttons:
    • Reset: Clears all fields and restores them to default values.
    • Copy Results: Copies the key calculated values and input assumptions to your clipboard for easy reporting.

How to Read Results:

  • Weighted Average Cost Per Unit: This is the average cost assigned to each unit available for sale.
  • Cost of Goods Available for Sale: The total value of inventory that could have been sold.
  • Cost of Goods Sold (COGS): The direct cost of the inventory that was sold. This is a key expense impacting your gross profit.
  • Ending Inventory Cost: The value of inventory remaining on hand at the end of the period. This appears on your balance sheet.
  • Ending Inventory Units: The physical count of units remaining.

Decision-Making Guidance: Understanding your COGS is vital for pricing strategies, profitability analysis, and inventory management. If your WACPU is increasing, it might indicate rising supplier costs, prompting a review of purchasing strategies or pricing adjustments. A consistently high COGS relative to sales revenue suggests lower gross margins, requiring careful consideration of procurement efficiency or sales price optimization. Analyzing trends in your COGS over time, alongside sales data, provides actionable insights for business growth and financial health. Accurate COGS calculation is fundamental for sound financial reporting.

Key Factors That Affect Weighted Average COGS Results

Several factors influence the calculation and interpretation of COGS using the weighted average method:

  1. Purchase Price Volatility: Fluctuations in the cost of acquiring inventory directly impact the weighted average cost. Higher purchase prices increase the WACPU, leading to a higher COGS and lower gross profit if sales volume remains constant. Conversely, lower purchase prices reduce WACPU, COGS, and increase gross profit. Businesses must monitor supplier pricing and negotiate favorable terms.
  2. Inventory Turnover Rate: A higher inventory turnover rate means goods are sold and replaced more frequently. This leads to the WACPU being more representative of recent purchase costs. A slow turnover rate means the WACPU might be based on older, potentially less relevant costs, and the ending inventory valuation might be outdated. Optimizing turnover is key to efficient capital use.
  3. Bulk Purchase Discounts: When businesses buy in larger quantities, they often receive discounts, lowering the per-unit cost. This impacts the Purchases Cost, subsequently lowering the WACPU and COGS. However, large purchases tie up more working capital and increase the risk of obsolescence or damage if not managed properly.
  4. Freight-In Costs: Costs associated with transporting purchased inventory to the business's location are typically added to the purchase cost. This increases the total Purchases Cost and thus the COGAS and WACPU. Accurate accounting for all inbound shipping charges is essential for correct COGS calculation.
  5. Returns and Allowances (Purchases): If a business returns previously purchased inventory, the cost of those returns reduces the net Purchases Cost. This lowers COGAS and WACPU. Similarly, receiving allowances (price reductions for damaged goods) for inventory reduces its cost, impacting the average.
  6. Inventory Shrinkage: Losses due to theft, damage, or administrative errors reduce the number of units available. While the weighted average formula uses "Units Sold," actual physical inventory counts are vital. Shrinkage means the ending inventory cost calculated may be higher than the actual value of remaining goods if not accounted for, impacting overall inventory management.
  7. Sales Volume Consistency: The number of units sold directly determines the final COGS figure (Units Sold * WACPU). Consistent sales volume makes COGS easier to forecast. Spikes or drops in sales volume will directly impact reported COGS and gross profit margins. Understanding sales trends is crucial for accurate financial planning.

Frequently Asked Questions (FAQ)

What is the difference between weighted average and FIFO?

FIFO (First-In, First-Out) assumes the oldest inventory items are sold first, while the weighted average method uses an average cost for all available units. FIFO can result in a lower COGS and higher taxable income during periods of rising prices, whereas weighted average provides a smoother, less volatile cost figure.

Can the weighted average cost per unit be negative?

No, the weighted average cost per unit cannot be negative. Inventory costs are typically positive values representing the expenses incurred to acquire goods. A negative input cost would indicate an error in data entry or a highly unusual scenario like a significant rebate that exceeds the cost.

How often should I recalculate my weighted average COGS?

It's generally recommended to recalculate weighted average COGS at least monthly, coinciding with your closing period for financial statements. For businesses with high inventory turnover or significant price fluctuations, recalculating after each purchase or sale batch (perpetual system) provides greater accuracy.

What if I have returns from customers? How does that affect COGS?

Customer returns typically involve a contra-entry to COGS. When a customer returns an item, you add the item back into your inventory at its recorded cost (which would be the WACPU if using this method) and reduce your COGS by that amount. This reflects that the item was no longer considered "sold".

Does the weighted average method require specific accounting software?

While you can calculate it manually, specialized inventory management or accounting software makes using the weighted average method much easier and more accurate, especially for businesses with frequent transactions. These systems often automate the calculation of the average cost per unit.

Can I use this method for services instead of physical goods?

No, the Cost of Goods Sold (COGS) concept and methods like weighted average are specific to businesses that sell physical products. Services typically have a "Cost of Services" or "Cost of Revenue" calculation, which includes direct labor and other expenses related to providing the service, not inventory costs.

What are the tax implications of using the weighted average method?

The choice of inventory valuation method (like weighted average) affects taxable income. During periods of rising prices, weighted average generally results in a COGS that is between FIFO and LIFO, leading to moderate taxable income and tax liability. Tax regulations may have specific requirements or limitations on inventory methods, so consulting a tax professional is advisable.

How does ending inventory value affect my balance sheet?

The ending inventory value calculated using the weighted average method is reported as a current asset on the balance sheet. Its accuracy is crucial for determining the company's overall asset base and financial position. An overvalued or undervalued inventory can misrepresent the company's financial health.

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var canvas = document.getElementById("cogsChart"); var ctx = canvas.getContext("2d"); var myChart; // Declare chart variable globally function initializeChart(labels, data1, data2, label1, label2) { if (myChart) { myChart.destroy(); // Destroy previous chart instance if it exists } myChart = new Chart(ctx, { type: 'bar', // Changed to bar chart for better visualization of two series data: { labels: labels, datasets: [{ label: label1, data: data1, backgroundColor: 'rgba(0, 74, 153, 0.7)', // Primary color borderColor: 'rgba(0, 74, 153, 1)', borderWidth: 1 }, { label: label2, data: data2, backgroundColor: 'rgba(40, 167, 69, 0.7)', // Success color borderColor: 'rgba(40, 167, 69, 1)', borderWidth: 1 }] }, options: { responsive: true, maintainAspectRatio: true, scales: { y: { beginAtZero: true, title: { display: true, text: 'Value ($)' } }, x: { title: { display: true, text: 'Inventory Component' } } }, plugins: { legend: { position: 'top', }, title: { display: true, text: 'Inventory Cost Breakdown' } } } }); } function updateChart(initialCost, purchasesCost, cogs, endingCost) { var labels = ['Initial Inv.', 'Purchases', 'COGS', 'Ending Inv.']; var data1 = [initialCost, purchasesCost, 0, 0]; // Costs var data2 = [0, 0, cogs, endingCost]; // COGS and Ending Inventory Cost // Adjust data if values are not numbers or are invalid data1[0] = isNaN(initialCost) ? 0 : initialCost; data1[1] = isNaN(purchasesCost) ? 0 : purchasesCost; data2[2] = isNaN(cogs) ? 0 : cogs; data2[3] = isNaN(endingCost) ? 0 : endingCost; initializeChart(labels, data1, data2, 'Cost Components', 'Value Out ($)'); } function validateInput(id, min, max) { var input = document.getElementById(id); var errorElement = document.getElementById(id + "Error"); var value = parseFloat(input.value); if (isNaN(value)) { errorElement.textContent = "Please enter a valid number."; return false; } if (value < 0) { errorElement.textContent = "Value cannot be negative."; return false; } if (min !== undefined && value max) { errorElement.textContent = "Value cannot exceed " + max + "."; return false; } errorElement.textContent = ""; return true; } function calculateCOGS() { var initialInventoryCost = parseFloat(document.getElementById("initialInventoryCost").value); var initialInventoryUnits = parseInt(document.getElementById("initialInventoryUnits").value); var periodPurchasesCost = parseFloat(document.getElementById("periodPurchasesCost").value); var periodPurchasesUnits = parseInt(document.getElementById("periodPurchasesUnits").value); var unitsSold = parseInt(document.getElementById("unitsSold").value); var isValid = true; isValid = validateInput("initialInventoryCost") && isValid; isValid = validateInput("initialInventoryUnits", 0) && isValid; isValid = validateInput("periodPurchasesCost") && isValid; isValid = validateInput("periodPurchasesUnits", 0) && isValid; isValid = validateInput("unitsSold", 0) && isValid; // Additional validation for unitsSold relative to available units var totalUnitsAvailable = initialInventoryUnits + periodPurchasesUnits; if (isValid && unitsSold > totalUnitsAvailable) { document.getElementById("unitsSoldError").textContent = "Units sold cannot exceed total units available."; isValid = false; } if (isValid && isNaN(totalUnitsAvailable)) totalUnitsAvailable = 0; // Handle case where initial units or purchase units are NaN if (!isValid) { // Clear results if validation fails document.getElementById("weightedAverageCost").textContent = "–"; document.getElementById("cogsAvailable").textContent = "–"; document.getElementById("calculatedCOGS").textContent = "–"; document.getElementById("endingInventoryCost").textContent = "–"; document.getElementById("endingInventoryUnits").textContent = "–"; updateChart(0,0,0,0); // Clear chart return; } // Calculations var cogsAvailable = initialInventoryCost + periodPurchasesCost; var totalUnitsAvailableForSale = initialInventoryUnits + periodPurchasesUnits; var weightedAverageCost = 0; if (totalUnitsAvailableForSale > 0) { weightedAverageCost = cogsAvailable / totalUnitsAvailableForSale; } var calculatedCOGS = unitsSold * weightedAverageCost; var endingInventoryUnits = totalUnitsAvailableForSale – unitsSold; var endingInventoryCost = endingInventoryUnits * weightedAverageCost; // Display Results document.getElementById("weightedAverageCost").textContent = weightedAverageCost.toFixed(2); document.getElementById("cogsAvailable").textContent = cogsAvailable.toFixed(2); document.getElementById("calculatedCOGS").textContent = calculatedCOGS.toFixed(2); document.getElementById("endingInventoryCost").textContent = endingInventoryCost.toFixed(2); document.getElementById("endingInventoryUnits").textContent = endingInventoryUnits; // Update Table document.getElementById("tableInitialCost").textContent = initialInventoryCost.toFixed(2); document.getElementById("tableInitialUnits").textContent = initialInventoryUnits; document.getElementById("tablePurchasesCost").textContent = periodPurchasesCost.toFixed(2); document.getElementById("tablePurchasesUnits").textContent = periodPurchasesUnits; document.getElementById("tableCOGASCost").textContent = cogsAvailable.toFixed(2); document.getElementById("tableCOGASUnits").textContent = totalUnitsAvailableForSale; document.getElementById("tableUnitsSold").textContent = unitsSold; document.getElementById("tableWACPU").textContent = weightedAverageCost.toFixed(2); document.getElementById("tableCOGS").textContent = calculatedCOGS.toFixed(2); document.getElementById("tableEndingUnits").textContent = endingInventoryUnits; document.getElementById("tableEndingCost").textContent = endingInventoryCost.toFixed(2); // Update Chart updateChart(initialInventoryCost, periodPurchasesCost, calculatedCOGS, endingInventoryCost); } function resetCalculator() { document.getElementById("initialInventoryCost").value = "1000"; document.getElementById("initialInventoryUnits").value = "50"; document.getElementById("periodPurchasesCost").value = "2000"; document.getElementById("periodPurchasesUnits").value = "100"; document.getElementById("unitsSold").value = "75"; // Clear error messages var errorElements = document.querySelectorAll('.error-message'); for (var i = 0; i < errorElements.length; i++) { errorElements[i].textContent = ""; } calculateCOGS(); // Recalculate with default values } function copyResults() { var initialCost = document.getElementById("initialInventoryCost").value; var initialUnits = document.getElementById("initialInventoryUnits").value; var purchasesCost = document.getElementById("periodPurchasesCost").value; var purchasesUnits = document.getElementById("periodPurchasesUnits").value; var unitsSold = document.getElementById("unitsSold").value; var wacpu = document.getElementById("weightedAverageCost").textContent; var cogas = document.getElementById("cogsAvailable").textContent; var cogs = document.getElementById("calculatedCOGS").textContent; var endingCost = document.getElementById("endingInventoryCost").textContent; var endingUnits = document.getElementById("endingInventoryUnits").textContent; var resultsText = "Weighted Average COGS Calculation Results:\n\n"; resultsText += "Key Assumptions:\n"; resultsText += "- Initial Inventory Cost: $" + initialCost + "\n"; resultsText += "- Initial Inventory Units: " + initialUnits + "\n"; resultsText += "- Period Purchases Cost: $" + purchasesCost + "\n"; resultsText += "- Period Purchases Units: " + purchasesUnits + "\n"; resultsText += "- Units Sold: " + unitsSold + "\n\n"; resultsText += "Calculated Values:\n"; resultsText += "- Weighted Average Cost Per Unit: $" + wacpu + "\n"; resultsText += "- Cost of Goods Available for Sale: $" + cogas + "\n"; resultsText += "- Cost of Goods Sold (COGS): $" + cogs + "\n"; resultsText += "- Ending Inventory Cost: $" + endingCost + "\n"; resultsText += "- Ending Inventory Units: " + endingUnits + "\n"; // Use a temporary textarea to copy text var textArea = document.createElement("textarea"); textArea.value = resultsText; textArea.style.position = "fixed"; textArea.style.left = "-9999px"; document.body.appendChild(textArea); textArea.focus(); textArea.select(); try { var successful = document.execCommand('copy'); var msg = successful ? 'Results copied successfully!' : 'Copy failed!'; alert(msg); // Simple feedback } catch (err) { alert('Oops, unable to copy'); } document.body.removeChild(textArea); } // Initialize chart on page load with default values window.onload = function() { resetCalculator(); // Call reset to set initial values and calculate };

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