FIFO
FIFO (first in, first out) inventory management methods are one of the most widely-used approaches among small and mid-sized businesses. It ensures an inventory’s actual physical flow is followed more easily while streamlining accounting practices; making this method an excellent solution for companies that stock perishable products.
As you purchase and produce inventory, record its costs. When selling units, match their sale to their original purchase or production cost and subtract that figure from your ending inventory to determine your COGS.
FIFO can lead to higher gross margins during inflationary times because older, Periodic System cheaper inventory is matched to current-cost dollars of revenue – an approach which often leads to inflation of ending inventory values and income taxes. But using this approach requires careful organization of storage facilities so old inventory is always accessible – an issue particularly challenging for smaller businesses with limited warehouse space. Furthermore, complex tracking is needed in order to prevent spoilage or wastefulness.
LIFO
Last In, First Out (LIFO) is an inventory valuation method which assumes that recently purchased or manufactured products will be first to be sold, making this approach popular when prices increase as it helps companies lower tax liabilities by reporting lower costs on financial statements.
LIFO differs from FIFO by not considering actual physical shipment of goods but instead taking into account costs as they flow, and their order of use. As a result, different calculations for ending inventory and cost of goods sold occur between these methods.
Calculating an end inventory involves adding together raw materials, Perpetual System work-in-progress and finished goods before subtracting their sales during a given period to arrive at its cost of goods sold (COGS) figure. Selecting the most effective inventory method could have significant ramifications on financial statements by changing values like value of inventory held, COGS cost and profit.
Specific Identification
Specific identification is an inventory valuation technique that monitors each item as it passes through a business, providing a clear picture of costs and profits as well as high degrees of accuracy when calculating cost-of-goods-sold and ending inventory at the end of an accounting period. This approach works particularly well in companies selling unique, identifiable items – it can even use different tracking mechanisms like serial numbers, stamped receipt dates, bar codes or RFID tags!
This method requires strict record keeping and can be costly to implement; however, its accuracy in tracking costs and profits makes it well-suited to businesses that use both high-cost items like luxury car dealerships or art dealers as well as low-cost items like electronics stores or booksellers. Furthermore, using this approach helps eliminate manipulation risks inherent with other inventory valuation methods; companies utilizing it should conduct regular physical audits as part of a quality control regimen to ensure accuracy and efficiency.
Weighted Average
Weighted average is a mathematical calculation similar to an ordinary Standard Costing arithmetic mean with one key distinction: each data point receives its own relative importance or weight before the final average is calculated. This makes the calculation more precise but can introduce subjectivity.
Companies selling products that are hard to differentiate or have high inventory turnover use this method as one of the least costly means of inventory valuation, as it requires only slight labor input and costs significantly less than its alternatives. Furthermore, this inventory-costing technique cannot be easily altered as other approaches.
Process Description: Starting work-in-progress costs are added to materials, labor and FOH costs from previous departments before being divided by equivalent production figures. Subsequently, unit costs of individual products are weighted and aggregated together to calculate weighted average unit cost calculations.