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country_ma Changes in Inventories
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The current value of the Changes in Inventories in country_ma is 50.754 number_format_mrd MAD. The Changes in Inventories in country_ma decreased to 50.754 number_format_mrd MAD on 1/1/2023, after it was 51.795 number_format_mrd MAD on 1/1/2022. From 1/1/1952 to 1/1/2023, the average GDP in country_ma was 9.71 number_format_mrd MAD. The all-time high was reached on 1/1/2021 with 64.17 number_format_mrd MAD, while the lowest value was recorded on 1/1/1995 with -1.99 number_format_mrd MAD.
Changes in Inventories ·
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macro_category_Changes in Inventories | |
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1/1/1953 | 230 number_format_mio MAD |
1/1/1954 | 250 number_format_mio MAD |
1/1/1958 | 300 number_format_mio MAD |
1/1/1960 | 40 number_format_mio MAD |
1/1/1962 | 100 number_format_mio MAD |
1/1/1963 | 100 number_format_mio MAD |
1/1/1967 | 30 number_format_mio MAD |
1/1/1968 | 720 number_format_mio MAD |
1/1/1970 | 90 number_format_mio MAD |
1/1/1971 | 60 number_format_mio MAD |
1/1/1973 | 130 number_format_mio MAD |
1/1/1974 | 1.99 number_format_mrd MAD |
1/1/1975 | 130 number_format_mio MAD |
1/1/1977 | 1.13 number_format_mrd MAD |
1/1/1978 | 460 number_format_mio MAD |
1/1/1979 | 320 number_format_mio MAD |
1/1/1980 | 1.45 number_format_mrd MAD |
1/1/1981 | 130 number_format_mio MAD |
1/1/1982 | 840 number_format_mio MAD |
1/1/1984 | 2.45 number_format_mrd MAD |
1/1/1985 | 2.51 number_format_mrd MAD |
1/1/1986 | 2.28 number_format_mrd MAD |
1/1/1987 | 1.41 number_format_mrd MAD |
1/1/1988 | 1.03 number_format_mrd MAD |
1/1/1989 | 1.76 number_format_mrd MAD |
1/1/1990 | 2.77 number_format_mrd MAD |
1/1/1991 | 961.2 number_format_mio MAD |
1/1/1992 | 2.01 number_format_mrd MAD |
1/1/1994 | 1.72 number_format_mrd MAD |
1/1/1996 | 596.1 number_format_mio MAD |
1/1/1997 | 114.9 number_format_mio MAD |
1/1/1998 | 10.03 number_format_mrd MAD |
1/1/2001 | 5.55 number_format_mrd MAD |
1/1/2002 | 3.17 number_format_mrd MAD |
1/1/2003 | 10.68 number_format_mrd MAD |
1/1/2004 | 14.39 number_format_mrd MAD |
1/1/2005 | 6.7 number_format_mrd MAD |
1/1/2006 | 7.45 number_format_mrd MAD |
1/1/2007 | 11.2 number_format_mrd MAD |
1/1/2008 | 33.5 number_format_mrd MAD |
1/1/2009 | 25.33 number_format_mrd MAD |
1/1/2010 | 26.82 number_format_mrd MAD |
1/1/2011 | 35.11 number_format_mrd MAD |
1/1/2012 | 20.53 number_format_mrd MAD |
1/1/2013 | 34.86 number_format_mrd MAD |
1/1/2014 | 35 number_format_mrd MAD |
1/1/2015 | 44.46 number_format_mrd MAD |
1/1/2016 | 33.52 number_format_mrd MAD |
1/1/2017 | 38.15 number_format_mrd MAD |
1/1/2018 | 48.8 number_format_mrd MAD |
1/1/2019 | 40.02 number_format_mrd MAD |
1/1/2020 | 27.6 number_format_mrd MAD |
1/1/2021 | 64.17 number_format_mrd MAD |
1/1/2022 | 51.8 number_format_mrd MAD |
1/1/2023 | 50.75 number_format_mrd MAD |
Changes in Inventories components_countryMacro_QuotesTable_0
components_countryMacro_QuotesTable_1 | components_countryMacro_QuotesTable_2 |
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1/1/2023 | 50.754 number_format_mrd MAD |
1/1/2022 | 51.795 number_format_mrd MAD |
1/1/2021 | 64.171 number_format_mrd MAD |
1/1/2020 | 27.596 number_format_mrd MAD |
1/1/2019 | 40.024 number_format_mrd MAD |
1/1/2018 | 48.798 number_format_mrd MAD |
1/1/2017 | 38.149 number_format_mrd MAD |
1/1/2016 | 33.519 number_format_mrd MAD |
1/1/2015 | 44.459 number_format_mrd MAD |
1/1/2014 | 35.001 number_format_mrd MAD |
components_countryMacro_RelatedPrices_4
components_countryMacro_RelatedPrices_0 | components_countryMacro_RelatedPrices_1 | components_countryMacro_RelatedPrices_2 | components_countryMacro_RelatedPrices_3 |
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🇲🇦 macro_category_Industrial Production | 3.2 % | 5 % | frequency_quarterly |
🇲🇦 macro_category_Mining Production | 10.8 % | 9.2 % | frequency_quarterly |
In Morocco, changes in inventories frequently serve as a leading indicator of the economy's overall performance.
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At Eulerpool, your premier source for detailed macroeconomic data, we meticulously compile a broad array of economic indicators to offer valuable insights into market dynamics. One pivotal category within our wide-ranging dataset is 'Changes in Inventories.' This category represents a crucial aspect of a nation’s Gross Domestic Product (GDP) and offers a window into both short-term economic vibrancy and future growth prospects. In this descriptive exploration, we will delve deeply into what changes in inventories signify, why they are essential, and how they influence the broader economic landscape. Inventories, also known as stock or inventory investment, consist of goods that a company has produced or procured but has not yet sold. This category covers a broad spectrum, including raw materials, work-in-progress, and finished goods waiting for sale. Within the national accounts framework, changes in inventories reflect the difference between production and sales over a specific period. When businesses accumulate inventories, it signals that supply has outpaced demand, while a reduction in inventories typically indicates the opposite. The significance of changes in inventories extends beyond the balance sheet of individual businesses. At the macroeconomic level, inventory changes are closely scrutinized because they can be a harbinger of upcoming production adjustments. For instance, if inventories rise significantly, it may indicate a future reduction in production as businesses seek to clear out excess stock—potentially hinting at a slowdown in economic activity. Conversely, a reduction in inventories can signal tightening supply chains and potentially increased future production to meet robust demand. One primary reason changes in inventories are significant is their direct impact on GDP calculation. GDP, which measures the total value of all goods and services produced within a country, comprises several components, including consumption, investment, government spending, and net exports. Inventory investment is included within the investment component. When businesses stockpile goods, it contributes positively to GDP. On the flip side, when inventories are drawn down, it can create a drag on GDP growth. Therefore, fluctuations in inventories can make the difference between an economic quarter registering as robust or lackluster. For analysts and policymakers, understanding the dynamics behind inventory changes is essential. Elevated inventory levels could be the result of overproduction, forecasting errors, or shifts in consumer preferences. If businesses misjudge the demand, they might find themselves with surplus inventories, necessitating production cuts or discounts to clear the excess. This scenario can catalyze a broader economic slowdown. Conversely, low inventory levels could indicate that firms are struggling to keep up with demand, possibly leading to increased production, investment, and hiring—fueling economic expansion. Inventory changes are also a valuable indicator of supply chain efficiency and market confidence. For example, in periods of economic uncertainty, businesses might deliberately increase their inventory levels as a buffer against potential disruptions. Such behavior is often observed ahead of significant political events, trade negotiations, or anticipated regulatory changes. Conversely, confidence in stable and predictable market conditions might encourage businesses to maintain leaner inventories, reflecting efficient supply chain practices and effective demand forecasting. Furthermore, inventory levels can influence inflationary pressures. When inventories are high relative to demand, businesses might reduce prices to stimulate sales, leading to deflationary tendencies. On the other hand, low inventory levels in the face of strong demand can drive prices upward, contributing to inflation. Central banks and policymakers closely watch these trends to gauge underlying inflationary pressures and adjust monetary policies accordingly. At Eulerpool, our detailed reporting on changes in inventories allows users to track these essential economic fluctuations accurately. By offering granular data, we enable businesses, investors, and policymakers to make informed decisions based on the latest economic trends. This insight is particularly valuable in sectors heavily reliant on inventory management, such as retail, manufacturing, and logistics. Moreover, our comprehensive data visualization tools allow users to correlate inventory changes with other macroeconomic indicators. For instance, cross-referencing inventory levels with consumer spending, manufacturing output, and trade figures can yield a more nuanced understanding of economic conditions. This multidimensional approach enhances predictive analytics, helping users to anticipate market shifts and strategize accordingly. In conclusion, the category 'Changes in Inventories' is a vital component of macroeconomic analysis. It plays a significant role in GDP calculation, reflects underlying market dynamics, and offers crucial signals regarding future economic performance. At Eulerpool, we are committed to providing precise, timely, and comprehensive data on this and other economic indicators. By leveraging our sophisticated tools and in-depth analyses, users gain unparalleled insights into the economic forces shaping their environments, empowering them to navigate the complexities of the modern economy with confidence and foresight.