🇩🇪

Germany Composite Leading Indicator

Price

Price
100.896 Points
Change +/-
-0.019 Points
Percentage Change
-0.02 %

The current value of the Composite Leading Indicator in Germany is 100.896 Points. The Composite Leading Indicator in Germany decreased to 100.896 Points on 4/1/2026, after it was 100.915 Points on 3/1/2026. From 1/1/1961 to 4/1/2026, the average GDP in Germany was 99.97 Points. The all-time high was reached on 6/1/1969 with 103.76 Points, while the lowest value was recorded on 4/1/2020 with 91.28 Points.

Source: OECD

macro_seo_summary_intro macro_seo_summary_downmacro_seo_summary_avgmacro_seo_summary_highmacro_seo_summary_low

Composite Leading Indicator

Composite Leading Indicator

  • 3 Years

  • 5 Years

  • 10 Years

  • 25 Years

  • Max

Composite Leading Indicator
Date
Composite Leading Indicator
Jan 1, 1961
101 points
Feb 1, 1961
100.82 points
Mar 1, 1961
100.62 points
Apr 1, 1961
100.4 points
May 1, 1961
100.2 points
Jun 1, 1961
100.03 points
Jul 1, 1961
99.91 points
Aug 1, 1961
99.81 points
Sep 1, 1961
99.73 points
Oct 1, 1961
99.68 points
Nov 1, 1961
99.68 points
Dec 1, 1961
99.7 points
Jan 1, 1962
99.73 points
Feb 1, 1962
99.74 points
Mar 1, 1962
99.73 points
Access this data via the Eulerpool API

Composite Leading Indicator History

Composite Leading Indicator — History
DateValue
100.896 Points
100.915 Points
100.921 Points
100.91 Points
100.887 Points
100.858 Points
100.805 Points
100.721 Points
100.622 Points
100.509 Points
...

Similar Macro Indicators to Composite Leading Indicator

🇩🇪

Automobile production

Monthly

Current
249,163 Units
Previous
400,800 Units
🇩🇪

Bankruptcies

Monthly

Current
2,053 Companies
Previous
1,919 Companies
🇩🇪

Business Climate

Monthly

Current
84.9 points
Previous
84.5 points
🇩🇪

Capacity Utilization

Quarter

Current
77.4 %
Previous
77.7 %
🇩🇪

Changes in Inventory Levels

Quarter

Current
21.005 B EUR
Previous
20.548 B EUR
🇩🇪

Composite PMI

Monthly

Current
48.6 points
Previous
48.4 points
🇩🇪

Corporate profits

Quarter

Current
204.918 B EUR
Previous
210.614 B EUR
🇩🇪

Electric Vehicle Registrations

Monthly

Current
64,350 Units
Previous
70,663 Units
🇩🇪

Electricity Spot Prices

frequency_null

Current
98.16 EUR/MWh
Previous
96.26 EUR/MWh
🇩🇪

Factory Orders

Monthly

Current
5 %
Previous
1.4 %
🇩🇪

Ifo Business Climate Index

Monthly

Current
86.1 points
Previous
85.4 points
🇩🇪

Ifo Expectations

Monthly

Current
83.8 points
Previous
83.5 points
🇩🇪

Industrial production

Monthly

Current
-2.8 %
Previous
-0.2 %
🇩🇪

Industrial Production MoM

Monthly

Current
-0.7 %
Previous
-0.5 %
🇩🇪

Manufacturing PMI

Monthly

Current
49.9 points
Previous
51.4 points
🇩🇪

Manufacturing Production

Monthly

Current
-3.6 %
Previous
-0.6 %
🇩🇪

Mining Production

Monthly

Current
-4.8 %
Previous
0.3 %
🇩🇪

New Orders

Monthly

Current
92.9 points
Previous
88.5 points
🇩🇪

Passenger Car Registrations YoY

Monthly

Current
2.7 %
Previous
16 %
🇩🇪

Services PMI

Monthly

Current
47.8 points
Previous
46.9 points
🇩🇪

Steel production

Monthly

Current
3.2 M Tonnes
Previous
3.3 M Tonnes
🇩🇪

Vehicle Registrations

Monthly

Current
249,163 Units
Previous
294,161 Units
🇩🇪

ZEW Current Situation

Monthly

Current
-77.8 points
Previous
-73.7 points
🇩🇪

ZEW Economic Sentiment Index

Monthly

Current
-10.2 points
Previous
-17.2 points

Composite Leading Indicator

The Composite Leading Indicator (CLI) is crafted to offer early warnings of turning points in business cycles, indicating fluctuations in economic activity around its long-term potential level. CLIs illustrate short-term economic movements in qualitative rather than quantitative terms.

What is Composite Leading Indicator?

The Composite Leading Indicator (CLI) is an indispensable tool in the realm of macroeconomics, offering a nuanced understanding of the future phases of economic activity. At Eulerpool, a premier platform for macroeconomic data, we recognize the profound importance of CLIs and strive to provide detailed and insightful coverage of this crucial economic metric. A Composite Leading Indicator is essentially a statistical measure that aggregates multiple leading indicators into a single index. These leading indicators are economic variables that historically change before the economy as a whole, providing early signals about the direction and magnitude of upcoming economic activity. By combining several indicators, a CLI aims to offer a more reliable and comprehensive forecast, mitigating the risks associated with relying on any single indicator. The primary function of a CLI is to forecast turning points in economic activity—points where an economy shifts from expansion to contraction or vice versa. This predictive capability is particularly valuable for policymakers, investors, and business leaders who need to make informed decisions based on anticipated economic conditions. To construct a CLI, analysts select a set of leading indicators, which are then weighted and combined based on their historical performance and relevance to the economy. Typical components of a CLI might include variables such as stock market prices, consumer confidence indices, manufacturing orders, and interest rate spreads. By capturing a broad spectrum of economic activities, from consumer behavior to financial markets, CLIs provide a holistic and forward-looking measure of economic performance. One of the key advantages of a CLI is its ability to synthesize complex and multifaceted economic data into a single, comprehensible index. This simplicity is a powerful tool for decision-makers, facilitating quick yet informed assessments of economic trends. Furthermore, because CLIs are derived from multiple indicators, they tend to offer a robust signal that is less susceptible to the noise and volatility that can affect individual data points. At Eulerpool, we prioritize accuracy and transparency in our presentation of CLIs. We ensure that our users have access to up-to-date and meticulously curated data, enhancing their ability to predict and respond to economic developments. Our platform not only displays the composite index but also allows users to delve into the individual components, providing a granular view of the underlying economic variables. The application of CLIs extends across various domains. In monetary policy, central banks often rely on CLIs to gauge the future state of the economy and adjust their policy stance accordingly. By anticipating economic downturns, policymakers can implement preemptive measures to mitigate negative impacts. Similarly, in the realm of investment, CLIs serve as vital tools for portfolio managers and analysts. Accurate economic forecasts enable them to make strategic asset allocation decisions, optimizing returns while managing risk. Business leaders also find immense value in CLIs, using them to guide strategic planning, resource allocation, and market entry decisions. The ability to foresee economic expansions or contractions empowers businesses to align their operations with macroeconomic trends, gaining a competitive edge through timely and informed decision-making. Additionally, in the context of fiscal policy, governments utilize CLIs to inform budgetary decisions and public spending initiatives. Anticipating economic cycles allows for more effective distribution of resources, ensuring that fiscal interventions are timely and impactful. It is important to note that while CLIs are powerful predictive tools, they are not without limitations. The accuracy of a CLI depends on the quality and relevance of its components, as well as the appropriateness of the weighting methodology used. Economic dynamics can change over time, and a CLI must be periodically recalibrated to maintain its predictive power. Moreover, external shocks and unforeseen events, such as geopolitical crises or global pandemics, can disrupt the predictive models on which CLIs are based, leading to discrepancies between forecasts and actual economic outcomes. At Eulerpool, we are committed to continuous improvement and rigorous analysis to ensure that our CLIs remain relevant and useful to our users. We employ advanced statistical techniques and leverage extensive historical data to refine our indicators, striving to offer the most accurate and reliable economic forecasts available. In summary, the Composite Leading Indicator is a critical resource in the field of macroeconomics, providing a forward-looking view of economic activity through the aggregation of multiple leading indicators. At Eulerpool, our dedication to precision, transparency, and user empowerment ensures that our CLIs serve as valuable tools for policymakers, investors, business leaders, and governments alike. By offering insights into future economic trends, CLIs facilitate informed decision-making and strategic planning, supporting economic stability and growth in an increasingly complex and dynamic world.

Composite Leading Indicator Germany — FAQ

What is the current Composite Leading Indicator in Germany?

The current Composite Leading Indicator in Germany is 100.896 Points as of 4/1/2026.

How has the Composite Leading Indicator in Germany changed recently?

The Composite Leading Indicator in Germany decreased from 100.915 Points (3/1/2026) to 100.896 Points (4/1/2026).

What is the all-time high for Composite Leading Indicator in Germany?

The all-time high for Composite Leading Indicator in Germany was 103.76 Points, recorded on 6/1/1969.

What is the all-time low for Composite Leading Indicator in Germany?

The all-time low for Composite Leading Indicator in Germany was 91.28 Points, recorded on 4/1/2020.

What is the historical average of Composite Leading Indicator in Germany?

The historical average of Composite Leading Indicator in Germany is 99.97 Points, calculated over the period from 1/1/1961 to 4/1/2026.

Where does the Composite Leading Indicator data for Germany come from?

The Composite Leading Indicator data for Germany is sourced from OECD and published on Eulerpool.