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Home/KnowledgeBase/COGS/Real-World Examples: Defining COGS with Multiple Elements and Date Ranges

Real-World Examples: Defining COGS with Multiple Elements and Date Ranges

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💡 TL;DR
This article shows how to model realistic product cost scenarios in SellerLegend using real numbers — including changing supplier costs, fluctuating currencies, and shipment-specific pricing.


🧾 Example 1: Basic Cost Periods Over Time

Scenario:
You sell a Bluetooth speaker. Initially, the cost is $8.25 per unit. Later, the supplier increases prices to $9.10.

Start Date End Date Unit Cost Notes
2024-01-01 2024-06-30 $8.25 Initial cost
2024-07-01 $9.10 Price increase (new batch)

Result:

  • Orders placed Jan–June 2024 use $8.25 per unit.

  • Orders from July onward use $9.10 per unit.


🧾 Example 2: Using Detailed View with Provider and Notes

Scenario:
You import yoga mats from two different suppliers. Each has a different cost structure and currency.

Start Date End Date Provider Units Total Paid Currency Exchange Rate Notes
2024-01-01 2024-04-30 Supplier A 1,000 3,200 USD 1.00 Initial US batch
2024-05-01 2024-08-15 Supplier B 1,200 2,700 GBP 1.30 UK batch at discount
2024-08-16 Supplier A 1,500 5,100 USD 1.00 Return to US supply

Unit Cost Calculation (Detailed View):

  • First row: Jan 1, 2024 to April 30, 2024 $3.20 per unit ($3,200 for 1,000 units)

  • Second row: May 1, 2024 to August 15, 2024 £2.25 per unit → £2.25 × 1.30 = $2.93 USD

  • Third row: August 16, 2024 to eternity, $3.40 per unit ($5,100 for 1,500 units)

Result:
Each order uses the appropriate per-unit cost based on the order date, supplier, and currency.


🧾 Example 3: Handling Gaps and Overlaps

Scenario:
You forgot to define a cost for May. Here’s the current cost timeline:

Start Date End Date Unit Cost
2024-01-01 2024-04-30 $2.75
2024-06-01 $3.10

Problem:
May 2024 has no cost period — SL will use $0 COGS, thereby causing your profit to be inflated artificially.

Fix:
Add a bridging period:

Start Date End Date Unit Cost
2024-05-01 2024-05-31 $2.90

Now SL has complete coverage.


🧾 Example 4: Future Cost Planning

Scenario:
You know your manufacturer is increasing prices starting next month.

Start Date End Date Unit Cost Notes
2024-01-01 2024-07-31 $6.50 Current batch
2024-08-01 $6.95 Future-dated new cost plan

Result:

  • SL will use $6.50 until the end of July.

  • From August 1st, orders will be costed at $6.95.

You can update the future row later if the price or quantity changes.


🧠 Best Practices From These Examples

  • Always cover the full date range with cost periods — no gaps!

  • Use Detailed View if you’re working with international currencies or shipment-based tracking.

  • Add future-dated rows to pre-empt known price changes.

  • Add notes to explain why a cost changed — helpful when reviewing historical performance.


🧾 Example 5: Weighted Average Cost When Old and New Units Overlap

🎯 Use case: You still have stock from a previous shipment when a new shipment arrives at a different unit cost. You want to calculate the new average cost per unit for accounting purposes.


🔢 Scenario

You sell stainless steel water bottles. You had 500 units left from an older shipment when a new shipment of 1,000 units arrives at a higher cost.

📦 Inventory On Hand:

Batch Units Unit Cost Total Value
Old Batch 500 $4.00 $2,000.00
New Batch 1,000 $4.80 $4,800.00

🧮 Weighted Average Cost Per Unit

You calculate the weighted average using:

Weighted Average Cost = (Total Cost of All Units) ÷ (Total Units)

Calculation:

Total Cost = $2,000 + $4,800 = $6,800
Total Units = 500 + 1,000 = 1,500

Weighted Average Cost = $6,800 ÷ 1,500 = $4.53


📅 COGS Entry in SellerLegend

You can now define a new cost period starting the day the new batch was received using the calculated average:

Start Date End Date Unit Cost Notes
2024-01-01 2024-08-15 $4.00 Old batch
2024-08-16 $4.53 Weighted average for mixed inventory

🧠 Best Practice Tip

  • In SellerLegend, you cannot enter batch quantities per se — but you can use the Weighted Average Unit Cost as a proxy to reflect accurate profitability across overlapping inventory.

  • This approach is particularly useful if you don’t track actual inventory depletion batch-by-batch.

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