View the spread between a computed option-adjusted index of all BBB-rated bonds and a spot Treasury curve.

Graph and download economic data for ICE BofA Single-A US Corporate Index Option-Adjusted Spread (BAMLC0A3CA) from 1996-12-31 to 2025-07-11 about A Bond Rating, option-adjusted spread, corporate, and USA.

Concept: Difference between average cost of outstanding loans (ICC) and its average funding cost. Comprises both earmarked and nonearmarked operations. Source: Central Bank of Brazil – Statistics Department 27443-icc-spread 27443-icc-spread

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Spreads Market Size 2024-2028

The spreads market size is forecast to increase by USD 7.52 billion at a CAGR of 4.2% between 2023 and 2028.

The market is experiencing significant growth, driven primarily by the increasing trend towards on-the-go consumption and the growing popularity of e-commerce channels. The consumers' busy lifestyles have led to a surge in demand for convenient and portable food options, including spreads and sandwiches. Moreover, the rise of e-commerce platforms has made it easier for consumers to access a wide range of spreads from various brands, further fueling market growth. However, the market also faces challenges,One major obstacle is the health concerns associated with spreads, particularly those high in sugar and saturated fats.
As consumers become more health-conscious, there is a growing demand for healthier spread options. Another challenge is the intense competition in the market, with numerous players vying for market share. Companies must differentiate themselves by offering unique and innovative products to meet the evolving needs and preferences of consumers. To capitalize on opportunities and navigate challenges effectively, market participants must stay abreast of consumer trends and respond with agility and innovation.

What will be the Size of the Spreads Market during the forecast period?

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The market continues to evolve, with financial institutions increasingly relying on advanced data analysis techniques to gain insights and make informed decisions. Data quality is paramount, as enterprise solutions implement data warehousing and financial modeling to ensure accurate and reliable information. Data governance and marketing analysis employ machine learning and sales forecasting to identify trends and patterns in big data. Freemium models and artificial intelligence are transforming customer segmentation, enabling businesses to target their offerings more effectively. Cloud computing platforms and spreadsheet software offer user-friendly data dashboards for business process automation and user experience optimization.
Predictive modeling and collaboration tools facilitate real-time data analysis and scenario planning for investment firms. Business intelligence software and data visualization tools provide valuable insights for business users, while risk management and operations optimization rely on prescriptive analytics and data analytics software. Portfolio management and investment analysis benefit from interactive reports and data integration, enabling advanced analytics and mobile accessibility. Data storytelling and user interfaces enhance the value of data, while data security remains a critical concern. Subscription models and project management tools enable data mining and workflow automation for power users. The continuous dynamism of the market underscores the importance of staying informed and adaptable to evolving trends and patterns.

How is this Spreads Industry segmented?

The spreads industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

Distribution Channel

  Offline
  Online


End-User

  Households
  Food Service
  Industrial


Product Type

  Jams & Jellies
  Nut Butters
  Cheese Spreads
  Savory Spreads


Packaging

  Jars
  Tubes
  Packets


Geography

  North America

    US
    Canada
    Mexico


  Europe

    France
    Germany
    Italy
    Spain
    UK


  Middle East and Africa

    UAE


  APAC

    China
    India
    Japan
    South Korea


  South America

    Brazil


  Rest of World (ROW)

By Distribution Channel Insights

The offline segment is estimated to witness significant growth during the forecast period.

The market encompasses various retail sectors, including department stores, supermarkets, hypermarkets, convenience stores, and restaurants. Major retail chains, such as Tesco Plc (Tesco) and Walmart Inc. (Walmart), have dedicated sections for spreads, offering a diverse range of butter, fruit, and chocolate spreads. companies employ marketing strategies, like branding through signages and discounts on product packages, to attract consumers. Walmart and Walgreens are long-standing retailers of spreads. Operating in the organized retail sector, companies consider factors like geographical presence, production and inventory management ease, and goods transportation. Businesses utilize enterprise solutions, such as data warehousing, financial modeling, and data governance, to manage their spreads offerings.

Machine learning and predictive analytics enable sales forecasting and customer segmentation. Data visualization tools help in data storytelling and risk management. Cloud-based platforms facilitate business planning and

Download Historical Cotton (ICE) Calendar Spread 1 Spreads Data. CQG daily, 1 minute, tick, and level 1 data from 1899.

Interest rate spread (lending rate minus deposit rate, %) in World was reported at 5.8797 % in 2019, according to the World Bank collection of development indicators, compiled from officially recognized sources. World - Interest rate spread (lending rate minus deposit rate, %) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

This dataset contains the spatiotemporal data used to train the spatiotemporal deep neural networks described in "Modeling the Spread of a Livestock Disease With Semi-Supervised Spatiotemporal Deep Neural Networks". The dataset consists of two sets of NumPy arrays. The first set: X_grid.npy and Y_grid.npy were used to train the convolutional LSTM, while the second set: X_graph.npy, Y_graph.npy, and edge_index.npy were used to train the graph convolutional LSTM. The data consists of spatiotemporally varying environmental and anthropogenic variables along with case reports of vesicular stomatitis. Resources in this dataset:Resource Title: NumPy Arrays of Spatiotemporal Features and VS Cases. File Name: vs_data.zipResource Description: This is a ZIP archive containing five NumPy arrays of spatiotemporal features and geotagged VS cases.Resource Software Recommended: NumPy,url: https://numpy.org/

The USA: Bank lending-deposit interest rate spread : The latest value from is interest rate points, unavailable from interest rate points in . In comparison, the world average is 0.00 interest rate points, based on data from countries. Historically, the average for the USA from to is interest rate points. The minimum value, interest rate points, was reached in while the maximum of interest rate points was recorded in .

This dataset illustrates the fluid dynamics of human coughing and breathing by using schlieren imaging. This dataset was used to help inform the general public about the importance of face coverings during the COVID-19 global pandemic.

This dataset provides information about the number of properties, residents, and average property values for Spread Eagle Drive cross streets in Westcliffe, CO.

This table derives from the grain price spreads data. It includes the latest week of data, as well as averages and standard deviations of price spreads over the past year for each commodity, origin, and destination combination. An indicator is calculated as a ratio, where the numerator is the difference between this week's price spread and the associated average price spread, and the denominator is the associated standard deviation.

This data set provides monthly average price values, and the differences among those values, at the farm, wholesale, and retail stages of the production and marketing chain for selected cuts of beef, pork, and broilers. In addition, retail prices are provided for beef and pork cuts, turkey, whole chickens, eggs, and dairy products. Price spreads are reported for last 6 years, 12 quarters, and 24 months. The retail price file provides monthly estimates for the last 6 months. The historical file provides data since 1970.

Predicting the spread of populations across fragmented habitats is vital if we are to manage their persistence in the long term. We applied network theory with a model and an experiment to show that spread rate is jointly defined by the configuration of habitat networks (i.e., the arrangement and length of connections between habitat fragments) and the movement behavior of individuals. We found that population spread rate in the model was well predicted by algebraic connectivity of the habitat network. A multi-generation experiment with the microarthropod Folsomia candida validated this model prediction. Realized habitat connectivity and spread rate were determined by the interaction between dispersal behavior and habitat configuration, such that the network configurations that facilitated the fastest spread changed depending on the shape of the species’ dispersal kernel. Predicting the spread rate of populations in fragmented landscapes requires combining knowledge of species-specific dispersal kernels and the spatial configuration of habitat networks. This information can be used to design landscapes to manage the spread and persistence of species in fragmented habitats.

Credit spreads display occasional spikes and are more strongly countercyclical in times of elevated financial stress. Financial crises are extreme cases of this nonlinear behavior, featuring skyrocketing credit spreads, sharp losses in bank equity, and deep recessions. We develop and estimate a macroeconomic model with a banking sector in which banks' leverage constraints are occasionally binding and equity issuance is endogenous. The model captures the nonlinearities in the data and produces quantitatively realistic crises. Banks' precautionary equity issuance makes crises infrequent but does not prevent them altogether. A macroprudential policy inducing banks to issue more equity has considerable welfare benefits.

This dataset provides information about the number of properties, residents, and average property values for Spread Oak Lane cross streets in East Hampton, NY.

This dataset provides information about the number of properties, residents, and average property values for Spread Oak Lane cross streets in Waterbury, CT.

Concept: Difference between average cost of outstanding loans (ICC) and its average funding cost. Comprises both earmarked and nonearmarked operations. Source: Central Bank of Brazil – Statistics Department 27446-spread-of-the-icc---nonearmarked 27446-spread-of-the-icc---nonearmarked

Argentina AR: Interest Rate Spread data was reported at 0.897 % pa in 2023. This records an increase from the previous number of -0.018 % pa for 2022. Argentina AR: Interest Rate Spread data is updated yearly, averaging 2.852 % pa from Dec 2010 (Median) to 2023, with 14 observations. The data reached an all-time high of 19.967 % pa in 2019 and a record low of -0.018 % pa in 2022. Argentina AR: Interest Rate Spread data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Argentina – Table AR.World Bank.WDI: Interest Rates. Interest rate spread is the interest rate charged by banks on loans to private sector customers minus the interest rate paid by commercial or similar banks for demand, time, or savings deposits. The terms and conditions attached to these rates differ by country, however, limiting their comparability.;International Monetary Fund, International Financial Statistics and data files.;Median;

United States - ICE BofA US High Yield Index Option-Adjusted Spread was 2.92% in July of 2025, according to the United States Federal Reserve. Historically, United States - ICE BofA US High Yield Index Option-Adjusted Spread reached a record high of 21.82 in December of 2008 and a record low of 2.41 in June of 2007. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - ICE BofA US High Yield Index Option-Adjusted Spread - last updated from the United States Federal Reserve on July of 2025.

Concept: Difference between average cost of outstanding loans (ICC) and its average funding cost. Comprises both earmarked and nonearmarked operations. Source: Central Bank of Brazil – Statistics Department 27445-spread-of-the-icc---individuals 27445-spread-of-the-icc---individuals