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The current value of the Corporate Profits in China is 2.095 T CNY. The Corporate Profits in China increased to 2.095 T CNY on 4/1/2024, after it was 1.506 T CNY on 3/1/2024. From 2/1/1996 to 5/1/2024, the average GDP in China was 2.11 T CNY. The all-time high was reached on 12/1/2021 with 8.71 T CNY, while the lowest value was recorded on 2/1/1998 with 1.62 B CNY.
Corporate Profits ·
3 years
5 years
10 years
25 Years
Max
Corporate profits | |
---|---|
2/1/1996 | 6.73 B CNY |
3/1/1996 | 11.41 B CNY |
4/1/1996 | 19.69 B CNY |
5/1/1996 | 31.77 B CNY |
6/1/1996 | 46.29 B CNY |
7/1/1996 | 55.39 B CNY |
8/1/1996 | 65.98 B CNY |
9/1/1996 | 76.09 B CNY |
10/1/1996 | 92.76 B CNY |
11/1/1996 | 113.33 B CNY |
12/1/1996 | 142.44 B CNY |
2/1/1997 | 7.08 B CNY |
3/1/1997 | 16.27 B CNY |
4/1/1997 | 29.32 B CNY |
5/1/1997 | 43.32 B CNY |
6/1/1997 | 63.38 B CNY |
7/1/1997 | 73.7 B CNY |
8/1/1997 | 86.99 B CNY |
9/1/1997 | 101.01 B CNY |
10/1/1997 | 118.55 B CNY |
11/1/1997 | 135.64 B CNY |
12/1/1997 | 162.67 B CNY |
2/1/1998 | 1.62 B CNY |
3/1/1998 | 9.07 B CNY |
4/1/1998 | 16.63 B CNY |
5/1/1998 | 25.73 B CNY |
6/1/1998 | 39.72 B CNY |
7/1/1998 | 49.86 B CNY |
8/1/1998 | 63.87 B CNY |
9/1/1998 | 79.54 B CNY |
10/1/1998 | 98.7 B CNY |
11/1/1998 | 118.43 B CNY |
12/1/1998 | 147.33 B CNY |
2/1/1999 | 11.27 B CNY |
3/1/1999 | 18.75 B CNY |
4/1/1999 | 30.32 B CNY |
5/1/1999 | 48.31 B CNY |
6/1/1999 | 72.88 B CNY |
7/1/1999 | 88.52 B CNY |
8/1/1999 | 104.14 B CNY |
9/1/1999 | 129 B CNY |
10/1/1999 | 153.3 B CNY |
11/1/1999 | 182.56 B CNY |
12/1/1999 | 220.21 B CNY |
2/1/2000 | 31.91 B CNY |
3/1/2000 | 55.41 B CNY |
4/1/2000 | 84.66 B CNY |
5/1/2000 | 125.4 B CNY |
6/1/2000 | 162.24 B CNY |
7/1/2000 | 202.24 B CNY |
8/1/2000 | 241.84 B CNY |
9/1/2000 | 284.13 B CNY |
10/1/2000 | 327.49 B CNY |
11/1/2000 | 371.41 B CNY |
12/1/2000 | 426.18 B CNY |
2/1/2001 | 48.27 B CNY |
3/1/2001 | 85.41 B CNY |
4/1/2001 | 122.76 B CNY |
5/1/2001 | 166.97 B CNY |
6/1/2001 | 212.36 B CNY |
7/1/2001 | 249.25 B CNY |
8/1/2001 | 286.15 B CNY |
9/1/2001 | 326.03 B CNY |
10/1/2001 | 364.65 B CNY |
11/1/2001 | 406.94 B CNY |
12/1/2001 | 465.72 B CNY |
2/1/2002 | 43.04 B CNY |
3/1/2002 | 79.92 B CNY |
4/1/2002 | 123.85 B CNY |
5/1/2002 | 174.97 B CNY |
6/1/2002 | 227.83 B CNY |
7/1/2002 | 275.73 B CNY |
8/1/2002 | 324.62 B CNY |
9/1/2002 | 380.12 B CNY |
10/1/2002 | 437.4 B CNY |
11/1/2002 | 495.57 B CNY |
12/1/2002 | 562.04 B CNY |
2/1/2003 | 98 B CNY |
3/1/2003 | 159.11 B CNY |
4/1/2003 | 225.55 B CNY |
5/1/2003 | 291.82 B CNY |
6/1/2003 | 363.84 B CNY |
7/1/2003 | 430.33 B CNY |
8/1/2003 | 501.53 B CNY |
9/1/2003 | 572.77 B CNY |
10/1/2003 | 647.28 B CNY |
11/1/2003 | 725.17 B CNY |
12/1/2003 | 815.24 B CNY |
2/1/2004 | 143.79 B CNY |
3/1/2004 | 234.75 B CNY |
4/1/2004 | 334.21 B CNY |
5/1/2004 | 425.8 B CNY |
6/1/2004 | 519.94 B CNY |
7/1/2004 | 608.47 B CNY |
8/1/2004 | 704.52 B CNY |
9/1/2004 | 808.81 B CNY |
10/1/2004 | 913.25 B CNY |
11/1/2004 | 1.02 T CNY |
12/1/2004 | 1.13 T CNY |
2/1/2005 | 165.26 B CNY |
3/1/2005 | 276.43 B CNY |
4/1/2005 | 389.25 B CNY |
5/1/2005 | 496.79 B CNY |
6/1/2005 | 626.57 B CNY |
7/1/2005 | 743.67 B CNY |
8/1/2005 | 864.29 B CNY |
9/1/2005 | 988.28 B CNY |
10/1/2005 | 1.11 T CNY |
11/1/2005 | 1.25 T CNY |
12/1/2005 | 1.44 T CNY |
2/1/2006 | 203.42 B CNY |
3/1/2006 | 336.27 B CNY |
4/1/2006 | 477.41 B CNY |
5/1/2006 | 629.39 B CNY |
6/1/2006 | 810.67 B CNY |
7/1/2006 | 967.88 B CNY |
8/1/2006 | 1.13 T CNY |
9/1/2006 | 1.3 T CNY |
10/1/2006 | 1.47 T CNY |
11/1/2006 | 1.65 T CNY |
12/1/2006 | 1.88 T CNY |
2/1/2007 | 293.21 B CNY |
5/1/2007 | 902.6 B CNY |
8/1/2007 | 1.56 T CNY |
11/1/2007 | 2.3 T CNY |
2/1/2008 | 348.24 B CNY |
5/1/2008 | 1.09 T CNY |
8/1/2008 | 1.87 T CNY |
11/1/2008 | 2.41 T CNY |
2/1/2009 | 219.13 B CNY |
5/1/2009 | 850.16 B CNY |
8/1/2009 | 1.67 T CNY |
11/1/2009 | 2.59 T CNY |
2/1/2010 | 486.74 B CNY |
5/1/2010 | 1.54 T CNY |
8/1/2010 | 2.6 T CNY |
11/1/2010 | 3.88 T CNY |
2/1/2011 | 645.46 B CNY |
3/1/2011 | 1.07 T CNY |
4/1/2011 | 1.49 T CNY |
5/1/2011 | 1.92 T CNY |
6/1/2011 | 2.41 T CNY |
7/1/2011 | 2.8 T CNY |
8/1/2011 | 3.23 T CNY |
9/1/2011 | 3.68 T CNY |
10/1/2011 | 4.12 T CNY |
11/1/2011 | 4.66 T CNY |
12/1/2011 | 5.45 T CNY |
2/1/2012 | 606.01 B CNY |
3/1/2012 | 1.04 T CNY |
4/1/2012 | 1.45 T CNY |
5/1/2012 | 1.84 T CNY |
6/1/2012 | 2.31 T CNY |
7/1/2012 | 2.68 T CNY |
8/1/2012 | 3.06 T CNY |
9/1/2012 | 3.52 T CNY |
10/1/2012 | 4.02 T CNY |
11/1/2012 | 4.66 T CNY |
12/1/2012 | 5.56 T CNY |
2/1/2013 | 709.15 B CNY |
3/1/2013 | 1.17 T CNY |
4/1/2013 | 1.61 T CNY |
5/1/2013 | 2.08 T CNY |
6/1/2013 | 2.58 T CNY |
7/1/2013 | 3 T CNY |
8/1/2013 | 3.49 T CNY |
9/1/2013 | 4.05 T CNY |
10/1/2013 | 4.63 T CNY |
11/1/2013 | 5.33 T CNY |
12/1/2013 | 6.28 T CNY |
2/1/2014 | 779.31 B CNY |
3/1/2014 | 1.29 T CNY |
4/1/2014 | 1.76 T CNY |
5/1/2014 | 2.28 T CNY |
6/1/2014 | 2.86 T CNY |
7/1/2014 | 3.35 T CNY |
8/1/2014 | 3.83 T CNY |
9/1/2014 | 4.37 T CNY |
10/1/2014 | 4.94 T CNY |
11/1/2014 | 5.62 T CNY |
12/1/2014 | 6.47 T CNY |
2/1/2015 | 745.24 B CNY |
3/1/2015 | 1.25 T CNY |
4/1/2015 | 1.73 T CNY |
5/1/2015 | 2.25 T CNY |
6/1/2015 | 2.84 T CNY |
7/1/2015 | 3.32 T CNY |
8/1/2015 | 3.77 T CNY |
9/1/2015 | 4.3 T CNY |
10/1/2015 | 4.87 T CNY |
11/1/2015 | 5.54 T CNY |
12/1/2015 | 6.36 T CNY |
2/1/2016 | 780.71 B CNY |
3/1/2016 | 1.34 T CNY |
4/1/2016 | 1.84 T CNY |
5/1/2016 | 2.38 T CNY |
6/1/2016 | 3 T CNY |
7/1/2016 | 3.52 T CNY |
8/1/2016 | 4.06 T CNY |
9/1/2016 | 4.64 T CNY |
10/1/2016 | 5.26 T CNY |
11/1/2016 | 6.03 T CNY |
12/1/2016 | 6.88 T CNY |
2/1/2017 | 1.02 T CNY |
3/1/2017 | 1.7 T CNY |
4/1/2017 | 2.28 T CNY |
5/1/2017 | 2.9 T CNY |
6/1/2017 | 3.63 T CNY |
7/1/2017 | 4.25 T CNY |
8/1/2017 | 4.92 T CNY |
9/1/2017 | 5.58 T CNY |
10/1/2017 | 6.25 T CNY |
11/1/2017 | 6.88 T CNY |
12/1/2017 | 7.52 T CNY |
2/1/2018 | 968.9 B CNY |
3/1/2018 | 1.55 T CNY |
4/1/2018 | 2.13 T CNY |
5/1/2018 | 2.73 T CNY |
6/1/2018 | 3.39 T CNY |
7/1/2018 | 3.9 T CNY |
8/1/2018 | 4.42 T CNY |
9/1/2018 | 4.97 T CNY |
10/1/2018 | 5.52 T CNY |
11/1/2018 | 6.12 T CNY |
12/1/2018 | 6.64 T CNY |
2/1/2019 | 708.01 B CNY |
3/1/2019 | 1.3 T CNY |
4/1/2019 | 1.81 T CNY |
5/1/2019 | 2.38 T CNY |
6/1/2019 | 2.98 T CNY |
7/1/2019 | 3.5 T CNY |
8/1/2019 | 4.02 T CNY |
9/1/2019 | 4.59 T CNY |
10/1/2019 | 4.98 T CNY |
11/1/2019 | 5.61 T CNY |
12/1/2019 | 6.2 T CNY |
2/1/2020 | 410.7 B CNY |
3/1/2020 | 781.45 B CNY |
4/1/2020 | 1.26 T CNY |
5/1/2020 | 1.84 T CNY |
6/1/2020 | 2.51 T CNY |
7/1/2020 | 3.1 T CNY |
8/1/2020 | 3.72 T CNY |
9/1/2020 | 4.37 T CNY |
10/1/2020 | 5.01 T CNY |
11/1/2020 | 5.74 T CNY |
12/1/2020 | 6.45 T CNY |
2/1/2021 | 1.11 T CNY |
3/1/2021 | 1.83 T CNY |
4/1/2021 | 2.59 T CNY |
5/1/2021 | 3.42 T CNY |
6/1/2021 | 4.22 T CNY |
7/1/2021 | 4.92 T CNY |
8/1/2021 | 5.61 T CNY |
9/1/2021 | 6.34 T CNY |
10/1/2021 | 7.16 T CNY |
11/1/2021 | 7.98 T CNY |
12/1/2021 | 8.71 T CNY |
2/1/2022 | 1.16 T CNY |
3/1/2022 | 1.96 T CNY |
4/1/2022 | 2.66 T CNY |
5/1/2022 | 3.44 T CNY |
6/1/2022 | 4.27 T CNY |
7/1/2022 | 4.89 T CNY |
8/1/2022 | 5.53 T CNY |
9/1/2022 | 6.24 T CNY |
10/1/2022 | 6.98 T CNY |
11/1/2022 | 7.72 T CNY |
12/1/2022 | 8.4 T CNY |
2/1/2023 | 887.21 B CNY |
3/1/2023 | 1.52 T CNY |
4/1/2023 | 2.03 T CNY |
5/1/2023 | 2.67 T CNY |
6/1/2023 | 3.39 T CNY |
7/1/2023 | 3.94 T CNY |
8/1/2023 | 4.66 T CNY |
9/1/2023 | 5.41 T CNY |
10/1/2023 | 6.12 T CNY |
11/1/2023 | 6.98 T CNY |
12/1/2023 | 7.69 T CNY |
2/1/2024 | 914.06 B CNY |
3/1/2024 | 1.51 T CNY |
4/1/2024 | 2.09 T CNY |
Corporate Profits History
Date | Value |
---|---|
4/1/2024 | 2.095 T CNY |
3/1/2024 | 1.506 T CNY |
2/1/2024 | 914.06 B CNY |
12/1/2023 | 7.686 T CNY |
11/1/2023 | 6.982 T CNY |
10/1/2023 | 6.115 T CNY |
9/1/2023 | 5.412 T CNY |
8/1/2023 | 4.656 T CNY |
7/1/2023 | 3.944 T CNY |
6/1/2023 | 3.388 T CNY |
Similar Macro Indicators to Corporate Profits
Name | Current | Previous | Frequency |
---|---|---|---|
🇨🇳 Automobile production | 2.502 M Units | 2.221 M Units | Monthly |
🇨🇳 Business Climate | 49.5 points | 49.5 points | Monthly |
🇨🇳 Capacity Utilization | 73.6 % | 75.9 % | Quarter |
🇨🇳 Cement production | 163.97 M Tonnes | 179.527 M Tonnes | Monthly |
🇨🇳 Changes in Inventory Levels | 932.74 B CNY | 1.496 T CNY | Annually |
🇨🇳 Composite Leading Indicator | 100.363 points | 100.88 points | Monthly |
🇨🇳 Composite PMI | 52.8 points | 54.1 points | Monthly |
🇨🇳 Electric Vehicle Registrations | 883,000 Units | 294,000 Units | Monthly |
🇨🇳 Electricity Production | 717,850 Gigawatt-hour | 690,080 Gigawatt-hour | Monthly |
🇨🇳 Industrial production | 5.4 % | 4.5 % | Monthly |
🇨🇳 Industrial Production MoM | 0.42 % | 0.26 % | Monthly |
🇨🇳 Leading Indicator | 150 points | 150.8 points | Monthly |
🇨🇳 Manufacturing PMI | 51.8 points | 51.7 points | Monthly |
🇨🇳 Manufacturing Production | 5.2 % | 4.3 % | Monthly |
🇨🇳 Mining Production | 3.7 % | 3.7 % | Monthly |
🇨🇳 NBS General PMI | 50.5 points | 51 points | Monthly |
🇨🇳 New Orders | 49.9 points | 48.9 points | Monthly |
🇨🇳 PMI Non-Manufacturing Sector | 50.5 % | 51.1 % | Monthly |
🇨🇳 Services PMI | 52 points | 50.3 points | Monthly |
🇨🇳 Steel production | 77.9 M Tonnes | 82.9 M Tonnes | Monthly |
🇨🇳 Terms of Service Index | 50.6 points | 51.9 points | Monthly |
🇨🇳 Total Vehicle Sales | 2.42 M Units | 2.36 M Units | Monthly |
🇨🇳 Vehicle Registrations | 2.525 M Units | 2.181 M Units | Monthly |
In China, corporate profits refer to the total earnings of all state-owned industrial enterprises and non-state-owned industrial enterprises with annual sales revenue exceeding 5 million yuan.
Macro pages for other countries in Asia
- 🇮🇳India
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- 🇬🇪Georgia
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- 🇮🇷Iran
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- 🇮🇱Israel
- 🇯🇴Jordan
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- 🇱🇧Lebanon
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- 🇲🇾Malaysia
- 🇲🇻Maldives
- 🇲🇳Mongolia
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- 🇵🇰Pakistan
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- 🇦🇪United Arab Emirates
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What is Corporate Profits?
Corporate profits are an indispensable indicator in the realm of macroeconomic data, reflecting the health, efficiency, and profitability of corporate entities within an economy. As the backbone of economic analysis, these profits demonstrate the ability of businesses to generate earnings from their operations, signaling the momentum and vitality of the business sector. At Eulerpool, we provide comprehensive insights into the trends, determinants, and implications of corporate profits, facilitating a deeper understanding for investors, policymakers, and economic analysts. Corporate profits encapsulate the total earnings of companies after accounting for expenses such as wages, raw materials, and taxes. These profits are commonly assessed at various stages; gross profits represent earnings before taxes and operational expenses, while net profits consider all expenses, thereby providing a more accurate picture of a company's financial health. The variations in corporate profits can significantly influence macroeconomic trends, including investment flows, employment rates, and overall economic stability. The demand for corporate profit data stems from its multidimensional role in economic forecasting and policy formulation. For investors, higher corporate profits typically signal robust financial health and potential for dividends, making stocks more attractive. Policymakers rely on these figures to gauge the effectiveness of economic policies and to make informed decisions regarding fiscal stimuli or tax adjustments. Furthermore, economists utilize corporate profit data to model economic growth, projecting whether the economy is dipping into a recession or surging towards expansion. A pivotal determinant of corporate profits is the state of the economy itself. During periods of economic growth, consumer spending and business investments increase, leading to higher sales and profits. Conversely, during economic downturns, reduced consumer expenditure and tighter credit conditions can curb profits. Inflation also plays a crucial role; moderate inflation often accompanies economic growth, benefiting corporate earnings, whereas hyperinflation can erode profit margins through increased costs of operation. Costs of production and labor costs are other significant factors affecting corporate profits. Fluctuations in input costs, such as raw materials and energy, directly impact profit margins. Efficient corporations adept at managing these costs through innovative technologies and supply chain efficiencies often outperform their peers. Similarly, labor costs, dictated by wage levels and productivity, are critical. Higher productivity rates can offset rising wage expenses, bolstering profits. Corporate taxes also exert a profound influence on corporate profitability. Lower tax rates generally enhance after-tax profits, promoting higher reinvestments and shareholder returns. Conversely, elevated tax rates can stifle profit growth, compel cost-cutting measures, or even incentivize corporations to engage in tax avoidance strategies. Consequently, tax policies are continually scrutinized for their impact on corporate profitability and broader economic performance. In the contemporary landscape, technological advancements and globalization exert both opportunities and challenges for corporate profits. Innovations in automation and artificial intelligence can lead to significant cost savings and productivity improvements, boosting profits. Moreover, globalization enables companies to tap into new markets, diversify revenue streams, and optimize production across different geographies. However, these benefits are counterbalanced by heightened competition, regulatory complexities, and exposure to global economic volatilities. Market dynamics, such as competition intensity and market entry barriers, shape the profit trajectories of corporations. Firms operating in highly competitive industries may face price wars, compressing profit margins, whereas those in monopolistic or oligopolistic markets with higher entry barriers might enjoy sustained profitability. Strategic initiatives, such as mergers and acquisitions, can also augment corporate profits by capturing synergies, expanding market share, and fostering economies of scale. The analysis of corporate profits is incomplete without considering external shocks and uncertainties. Events such as geopolitical tensions, natural disasters, and pandemics can disrupt supply chains, dampen consumer demand, and induce market volatility, adversely affecting profits. Conversely, adaptive and resilient corporations with robust risk management frameworks are likely to navigate these challenges more effectively, safeguarding their profitability. Furthermore, the significance of corporate earnings extends beyond individual firms. Aggregate corporate profit data provides vital insights into the overall business climate and economic resilience. For instance, consistent profit growth across sectors can indicate a buoyant economy, encouraging further investments and expansion. On the contrary, broad declines in profits may herald economic distress, prompting corrective interventions by central banks and government agencies. The interplay between corporate profits and stock markets exemplifies another layer of macroeconomic complexity. Equity markets often react to profit announcements, with positive surprises propelling stock prices upward, and disappointing results triggering sell-offs. Consequently, accurate assessments of corporate earnings are crucial for wealth management and investment strategies. At Eulerpool, our dedication lies in offering precise, updated, and detailed macroeconomic data on corporate profits. We provide a suite of analytical tools and visualizations that enable users to dissect profit trends across sectors, time horizons, and geographic regions. With our data, users can make evidence-based decisions, anticipate market movements, and calibrate their strategies to align with evolving economic landscapes. In conclusion, corporate profits are a pivotal barometer of economic vitality, influencing investment behavior, policy decisions, and market dynamics. The intricacies underpinning these profits demand a comprehensive analytical approach, encompassing economic conditions, cost structures, tax policies, technological advancements, market dynamics, and external uncertainties. By providing rigorous and insightful macroeconomic data on corporate profits, Eulerpool empowers its users to navigate the complexities of the economic environment with confidence and precision.