These rates are commonly referred to as Constant Maturity Treasury rates, or CMTs. Yields are interpolated by the Treasury from the daily yield curve. This curve, which relates the yield on a security to its time to maturity is based on the closing market bid yields on actively traded Treasury securities in the over-the-counter market. These market yields are calculated from composites of quotations obtained by the Federal Reserve Bank of New York. The yield values are read from the yield curve at fixed maturities, currently 1, 3 and 6 months and 1, 2, 3, 5, 7, 10, 20, and 30 years. This method provides a yield for a 10 year maturity, for example, even if no outstanding security has exactly 10 years remaining to maturity.

This table represents the issues and redemption of marketable and nonmarketable securities. All figures are rounded to the nearest million.

SOAP API for State treasury MONITOR

This table represents the breakdown of total public debt outstanding as it relates to the statutory debt limit. All figures are rounded to the nearest million.

Treasury yield curves or treasury zero-coupon yield curve are derived from treasury benchmark curves. The main interest in the market to estimate treasury yield curves is to provide insights into the evolution of market expectations.

The zero coupon rate or zero rate, the most common form of interest rate, is the yield implied by the different between a zero coupon bond's current purchase price and the value it pays at maturity. A given zero rate applies only to a single point in the future and, as such, can only be used to discount cash flows occurring on this date. Zero rates can have different compoundings: continuously, semi-annually, annually, etc. The continuously compounded zero rate has the simplest expression and computation mathematically.

This table represents the breakdown of taxes that are received by the federal government. Federal taxes received are represented as deposits in the Deposits and Withdrawals of Operating Cash table. All figures are rounded to the nearest million.

Get data on the daily cash and debt operations of the U.S. Treasury, including cash balance, deposits, and withdrawals; income tax refunds; and debt transactions.

(Link to Metadata) Opportunity Zones designated by the U.S. Secretary of the Treasury.

Content

More details about each file are in the individual file descriptions.

Context

This is a dataset from the Federal Reserve hosted by the Federal Reserve Economic Database (FRED). FRED has a data platform found here and they update their information according to the frequency that the data updates. Explore the Federal Reserve using Kaggle and all of the data sources available through the Federal Reserve organization page!

• Update Frequency: This dataset is updated daily.

Acknowledgements

This dataset is maintained using FRED's API and Kaggle's API.

Cover photo by LoboStudio Hamburg on Unsplash
Unsplash Images are distributed under a unique Unsplash License.

Content

Series is calculated as the spread between 3-Month LIBOR based on US dollars (https://fred.stlouisfed.org/series/USD3MTD156N) and 3-Month Treasury Bill (https://fred.stlouisfed.org/series/DTB3). The series is lagged by one week because the LIBOR series is lagged by one week due to an agreement with the source. Starting with the update on June 21, 2019, the Treasury bond data used in calculating interest rate spreads is obtained directly from the U.S. Treasury Department (https://www.treasury.gov/resource-center/data-chart-center/interest-rates/Pages/TextView.aspx?data=yield).

Context

This is a dataset from the Federal Reserve Bank of St. Louis hosted by the Federal Reserve Economic Database (FRED). FRED has a data platform found here and they update their information according to the frequency that the data updates. Explore the Federal Reserve Bank of St. Louis using Kaggle and all of the data sources available through the St. Louis Fed organization page!

• Update Frequency: This dataset is updated daily.

• Observation Start: 1986-01-02

• Observation End : 2019-12-04

Acknowledgements

This dataset is maintained using FRED's API and Kaggle's API.

Cover photo by Sidharth Bhatia on Unsplash
Unsplash Images are distributed under a unique Unsplash License.

This data represents all of the County’s residential real estate properties and all of the associated tax charges and credits with that property processed at the annual billing in July of each year, excluding any subsequent billing additions and/or revisions throughout the year. This dataset excludes the names of the property owners. The addresses in this database represent the address of the property. For more information about the individual taxes and credits, please go to http://www.montgomerycountymd.gov/finance/taxes/faqs.html#credit.

Update Frequency: Updated Annually in July

Graph and download economic data for Market Yield on U.S. Treasury Securities at 2-Year Constant Maturity, Quoted on an Investment Basis (DGS2) from 1976-06-01 to 2025-07-10 about 2-year, maturity, Treasury, interest rate, interest, rate, and USA.

This API provides live access to the CKAN portion of the Open Government Portal and Registry systems. ### Portal: https://open.canada.ca * Our public data portal * Includes data federated from provinces and municipalities * Read-only API calls can be made without an API key * Authorization required only for publishing federated data ### Registry: https://registry.open.canada.ca * Accessible within the Government of Canada (GoC) network for collecting and publishing data from GoC departments * New datasets must be manually reviewed and approved by the Open Government team * Publishes approved datasets to the Production Portal automatically * User account or API key required for all operations

Access CME futures and options data for interest rate markets, including U.S. Treasuries, SOFR, Federal Funds, ESTR, and more with Databento's APIs or web portal.

Our continuous contract symbology is a notation that maps to an actual, tradable instrument on any given date. The prices returned are real, unadjusted prices. We do not create a synthetic time series by adjusting the prices to remove jumps during rollovers.

description: The Consolidated Screening List API consolidates eleven export screening lists of the Departments of Commerce, State and the Treasury into a single data feed as an aid to industry in conducting electronic screens of potential parties to regulated transactions.; abstract: The Consolidated Screening List API consolidates eleven export screening lists of the Departments of Commerce, State and the Treasury into a single data feed as an aid to industry in conducting electronic screens of potential parties to regulated transactions.

Content

More details about each file are in the individual file descriptions.

Context

This is a dataset from the Federal Reserve hosted by the Federal Reserve Economic Database (FRED). FRED has a data platform found here and they update their information according to the frequency that the data updates. Explore the Federal Reserve using Kaggle and all of the data sources available through the Federal Reserve organization page!

• Update Frequency: This dataset is updated daily.

Acknowledgements

This dataset is maintained using FRED's API and Kaggle's API.

This table is a subsidiary table for Means of Financing the Deficit or Disposition of Surplus by the U.S. Government providing a detailed view of the transactions labelled, Agency Securities, Issued Under Special Financing Authorities. Special financing authorities include financing that is established by legislation under special or unique circumstances and for a specific purpose. This table includes total and subtotal rows that should be excluded when aggregating data. Some rows represent elements of the dataset's hierarchy, but are not assigned values. The classification_id for each of these elements can be used as the parent_id for underlying data elements to calculate their implied values. Subtotal rows are available to access this same information.

Treasury Management Market Outlook

As per our latest research, the global treasury management market size reached USD 6.2 billion in 2024, reflecting robust demand across diverse sectors. With a compound annual growth rate (CAGR) of 10.1% projected over the forecast period, the market is expected to reach USD 14.6 billion by 2033. This impressive expansion is largely driven by the escalating need for efficient cash and liquidity management, heightened regulatory compliance requirements, and the rapid adoption of advanced digital solutions across enterprises worldwide.

One of the primary growth factors propelling the treasury management market is the increasing complexity of global financial operations. Organizations are expanding their footprints across borders, resulting in more intricate cash flows, currency exposures, and regulatory landscapes. Treasury management solutions are becoming indispensable for managing these complexities, enabling businesses to optimize liquidity, minimize financial risks, and ensure compliance with evolving international regulations. The adoption of real-time analytics, automation, and artificial intelligence within treasury functions has further enhanced the capability of these platforms to deliver actionable insights and drive strategic decision-making, thereby fueling market growth.

Another significant driver is the growing emphasis on risk mitigation and compliance. In the wake of recent financial crises and tightening regulatory frameworks, enterprises are under increasing pressure to maintain robust governance over their financial operations. Treasury management systems offer integrated solutions for risk assessment, regulatory reporting, and policy enforcement, allowing organizations to proactively address potential threats and avoid costly penalties. The ability to centralize and automate compliance processes not only reduces operational risks but also enhances transparency and auditability—a key requirement in sectors such as banking, healthcare, and government.

Digital transformation initiatives across industries have also played a pivotal role in the expansion of the treasury management market. The proliferation of cloud computing, mobile platforms, and API integrations has made it possible for companies of all sizes to deploy sophisticated treasury solutions with minimal upfront investment. This democratization of technology has particularly benefited small and medium enterprises (SMEs), enabling them to compete with larger counterparts in terms of financial agility and control. Additionally, the rise of fintech partnerships and open banking standards is fostering innovation, leading to the development of highly customizable and scalable treasury management platforms that cater to the unique needs of different sectors.

From a regional perspective, North America continues to dominate the treasury management market, accounting for the largest share in 2024, followed closely by Europe and Asia Pacific. The United States, in particular, boasts a mature financial ecosystem and a high rate of technology adoption, while European firms are driven by stringent regulatory requirements such as PSD2 and GDPR. Meanwhile, the Asia Pacific region is witnessing the fastest growth, propelled by rapid economic development, increasing cross-border trade, and a burgeoning digital economy. Latin America and the Middle East & Africa are also emerging as promising markets, supported by ongoing financial sector reforms and rising investments in digital infrastructure.

Component Analysis

The treasury management market is segmented by component into solutions and services, each playing a critical role in shaping the overall market dynamics. The solutions segment encompasses a broad suite of software platforms designed to automate and streamline core treasury functions such as cash management, liquidity forecasting, risk assessment, and regulatory compliance. These platforms are increasingly leveraging artificial intelligence, machine learni

Eximpedia Export import trade data lets you search trade data and active Exporters, Importers, Buyers, Suppliers, manufacturers exporters from over 209 countries

Stablecoin Treasury Management Market Outlook

According to our latest research, the global stablecoin treasury management market size reached USD 2.4 billion in 2024, driven by the expanding adoption of digital assets and the increasing need for robust liquidity and risk management solutions among enterprises and financial institutions. The market is projected to grow at a CAGR of 18.7% from 2025 to 2033, reaching a forecasted value of USD 12.7 billion by 2033. This accelerated growth is underpinned by a surge in stablecoin integration into mainstream financial operations, the rise of decentralized finance (DeFi), and the demand for compliance-ready and automated treasury solutions.

The growth of the stablecoin treasury management market is primarily propelled by the rapid digitization of financial services and the increasing acceptance of stablecoins as a reliable medium for cross-border transactions. Enterprises and financial institutions are increasingly leveraging stablecoins for their ability to offer near-instant settlements, reduced transaction costs, and minimized volatility compared to traditional cryptocurrencies. As organizations seek to optimize their cash management and liquidity operations, the demand for advanced treasury management platforms that support stablecoin integration has witnessed a significant surge. Furthermore, the proliferation of blockchain-based payment infrastructures and the expansion of decentralized finance ecosystems are further catalyzing the adoption of stablecoin treasury management solutions globally.

Another important growth factor is the heightened focus on risk management and regulatory compliance in the digital asset ecosystem. The evolving regulatory landscape, particularly in North America and Europe, has necessitated the implementation of robust compliance and reporting frameworks for organizations dealing with stablecoins. Automated treasury platforms equipped with real-time monitoring, audit trails, and regulatory reporting capabilities are becoming indispensable for enterprises aiming to mitigate operational and compliance risks. This trend is further reinforced by the increasing scrutiny from financial regulators and the emergence of industry standards for stablecoin operations, which are collectively fostering the adoption of sophisticated treasury management solutions.

The technological advancements in treasury management solutions, especially the integration of artificial intelligence (AI) and machine learning (ML), are also driving market expansion. Automated and hybrid treasury platforms are enabling organizations to achieve superior yield optimization, liquidity forecasting, and risk assessment, thereby enhancing overall treasury efficiency. The growing emphasis on interoperability with existing enterprise resource planning (ERP) and financial systems is facilitating seamless stablecoin transactions and reconciliations, which is critical for large enterprises and financial institutions managing multi-currency portfolios. As a result, the market is witnessing a shift towards cloud-based, API-driven, and scalable treasury solutions that can adapt to the evolving needs of diverse end-users.

From a regional perspective, North America continues to lead the stablecoin treasury management market, accounting for the largest share in 2024, followed closely by Europe and the Asia Pacific. The presence of major fintech players, proactive regulatory frameworks, and the early adoption of blockchain technologies have positioned these regions at the forefront of stablecoin innovation. Meanwhile, emerging markets in Latin America and the Middle East & Africa are exhibiting rapid growth, fueled by the increasing penetration of digital assets and the need for efficient cross-border payment solutions. As market participants continue to expand their footprint and tailor their offerings to regional requirements, the global stablecoin treasury management landscape is expected to become increasingly dynamic and competitive.

Solution Type Analysis

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