{"id":4245,"date":"2024-11-14T21:20:22","date_gmt":"2024-11-15T03:20:22","guid":{"rendered":"https:\/\/agromed.mx\/portal\/?p=4245"},"modified":"2025-09-26T06:27:40","modified_gmt":"2025-09-26T12:27:40","slug":"common-price-avco-method-definition-example","status":"publish","type":"post","link":"https:\/\/agromed.mx\/portal\/index.php\/2024\/11\/14\/common-price-avco-method-definition-example\/","title":{"rendered":"Common Price Avco Method Definition &#038; Example"},"content":{"rendered":"<p>This technique produces Value of Goods Bought figures and ending inventory values that fall between the extremes of different costing strategies. During intervals of rising costs, the common price technique results in a lower Price of Items Bought and the next ending stock worth compared to strategies prioritizing older, lower costs. Conversely, during times of falling prices, it leads to a higher Cost of Goods Bought and a decrease ending stock value. This smoothing effect leads to more secure reported profits and inventory values, making monetary statements much less risky in response to cost fluctuations.<\/p>\n<h2>How Does The Average Value Method Affect Monetary Statements?<\/h2>\n<p>Utilizing the data from the previous instance, the calculations using the perpetual average cost method are summarized in the following desk. Earlier Than we are in a position to even go further, FIFO and LIFO have been talked about a quantity of in the post, however what are they? If you will understand the typical costing method better and distinctively, we must have a glance at them.<\/p>\n<h2>What Are The Opposite Stock Valuation Methods?<\/h2>\n<p>One of an important aspects of&nbsp;inventory management&nbsp;is accounting. For most e-commerce sellers and bodily retailers, stock represents the company\u2019s greatest asset. Thus, monitoring your inventory purchasing prices accurately is essential for monitoring financial health and reporting your financials for tax functions <a href=\"https:\/\/accounting-services.net\/\">https:\/\/accounting-services.net\/<\/a>. Common costing is one of the best accounting method to assist your busy business stay organized and on observe. The Typical Value Technique is a practical and easy stock valuation method that smooths out value fluctuations and supplies consistent cost data. It is especially useful in industries with frequent value modifications, because it reduces the influence of volatility on monetary statements.<\/p>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' width=\"608px\" alt=\"average cost inventory method\" 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\"\/><\/p>\n<h2>Accountingtools<\/h2>\n<p>The common cost inventory method supplies simplicity and scalability that rising companies respect. By averaging purchase costs across identical objects, you remove the complexity of tracking individual buy costs. This approach requires minimal accounting overhead and reduces the chance of calculation errors.<\/p>\n<div style='text-align:center'><iframe width='568' height='317' src='https:\/\/www.youtube.com\/embed\/7QD8-J6o18M' frameborder='0' alt='average cost inventory method' allowfullscreen><\/iframe><\/div>\n<p>Its significance lies in its impression on the value of items sold (COGS) and in the end on web revenue and tax legal responsibility. The common costing methodology is a list accounting technique the place you calculate the price of goods offered (COGS) based mostly on an average of your inventory purchases. It\u2019s an different to the First In, First Out (FIFO) accounting method and the Last In, First Out (LIFO) accounting technique. Ever wondered how companies calculate the worth of their inventory without pulling their hair out? Are you struggling to manage your stock with out being bogged down in advanced accounting theories?<\/p>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' width=\"608px\" alt=\"average cost inventory method\" 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\"\/><\/p>\n<p>In such industries, monitoring the price of particular person gadgets could be impractical and time-consuming. As A Substitute, WAC offers a practical way to handle inventory prices effectively, ensuring that each one objects are valued consistently, regardless of particular person buy prices. Like FIFO and LIFO strategies, AVCO can be applied in another way in periodic stock system and perpetual inventory system. In periodic stock system, weighted common value per unit is calculated for the complete class of inventory. It is then multiplied with variety of units offered and number of units in ending inventory to arrive at price of products sold and worth of ending inventory respectively.<\/p>\n<p>Every technique supplies a systematic <a href=\"https:\/\/accounting-services.net\/average-price\/\">average cost inventory method<\/a> way to determine the cost per unit for valuing both items bought and remaining stock. The Weighted Common Price (WAC) technique is a straightforward and efficient way to manage stock prices, especially for corporations that cope with fluctuating costs and enormous volumes of inventory. The common cost methodology is a widely known technique for stock valuation, important within the monetary reporting and tax calculation of businesses that maintain stock.<\/p>\n<ul>\n<li>Ensure that the strategy of stock costing that you just select remains the identical throughout.<\/li>\n<li>When average costing methodology is used in a perpetual inventory system, an average unit cost figure is computed every time a purchase is made.<\/li>\n<li>When a company uses the Last-In-First-Out stock valuation method, the earnings and financial statements proven are lower, and the taxable income is less.<\/li>\n<li>The new average is set by dividing the whole value of goods readily available by the total number of models available after each buy.<\/li>\n<li>For a broader framework on tying financials to inventory management, see accounting and inventory software.<\/li>\n<\/ul>\n<p>Numbers might need to mirror current market values precisely, probably causing overvaluation or undervaluation of inventory. This approach simplifies price allocation by treating all items as if they have been purchased on the same common price. Simplifying the method makes it simpler to calculate the cost of items sold and decide the value of the remaining stock.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>This technique produces Value of Goods Bought figures and ending inventory values that fall between the extremes of different costing strategies. During intervals of rising costs, the common price technique results in a lower Price of Items Bought and the next ending stock worth compared to strategies prioritizing older, lower costs. Conversely, during times of [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[8],"tags":[],"class_list":["post-4245","post","type-post","status-publish","format-standard","hentry","category-bookkeeping-2"],"_links":{"self":[{"href":"https:\/\/agromed.mx\/portal\/index.php\/wp-json\/wp\/v2\/posts\/4245","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/agromed.mx\/portal\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/agromed.mx\/portal\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/agromed.mx\/portal\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/agromed.mx\/portal\/index.php\/wp-json\/wp\/v2\/comments?post=4245"}],"version-history":[{"count":1,"href":"https:\/\/agromed.mx\/portal\/index.php\/wp-json\/wp\/v2\/posts\/4245\/revisions"}],"predecessor-version":[{"id":4246,"href":"https:\/\/agromed.mx\/portal\/index.php\/wp-json\/wp\/v2\/posts\/4245\/revisions\/4246"}],"wp:attachment":[{"href":"https:\/\/agromed.mx\/portal\/index.php\/wp-json\/wp\/v2\/media?parent=4245"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/agromed.mx\/portal\/index.php\/wp-json\/wp\/v2\/categories?post=4245"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/agromed.mx\/portal\/index.php\/wp-json\/wp\/v2\/tags?post=4245"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}