In 2023, Bloomberg LP, the New-York-headquartered media company operating within the business of information services, news services, broadcasting, streaming, and print, generated an estimated 12.5 billion U.S. dollars. A year earlier, the company's revenue results stood at 12.2 billion dollars.

SPDR Bloomberg Treasury Bond ETF inventory turnover ratio from 1970 to 1969. Inventory turnover ratio can be defined as a ratio showing how many times a company's inventory is sold and replaced over a period.

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The global Internet Financial Data Information Services market is experiencing robust growth, driven by increasing demand for real-time data, sophisticated analytics, and the expansion of online financial platforms. The market's size, while not explicitly stated, can be reasonably estimated based on publicly available information regarding similar sectors and reported company revenues. Considering the presence of major players like Bloomberg, Refinitiv, and FactSet, along with a significant number of regional players, a 2025 market size of approximately $50 billion (USD) seems plausible, given the substantial investments and revenue streams associated with these services. A Compound Annual Growth Rate (CAGR) of, let's assume, 8% for the forecast period (2025-2033) reflects the continuous technological advancements and the growing reliance on data-driven decision-making within the finance industry. Key drivers include the rising adoption of cloud-based solutions, increasing regulatory compliance needs, and the proliferation of algorithmic trading. Trends point towards a growing preference for integrated platforms offering diverse data sets and analytical tools, as well as the increasing importance of data security and privacy. Constraints include data security breaches, the complexity of integrating various data sources, and the potential for regulatory changes impacting data access and usage. Market segmentation is crucial, with distinct offerings catering to investment banking, asset management, and retail trading sectors. The competitive landscape is marked by a mix of global giants and regional players, with a focus on innovation and expansion into new markets and product offerings. The competitive advantage is gained through advanced technologies, robust data security measures, speed of data delivery and the breadth of data sources available. The market's future growth will depend on continued technological innovation, strategic partnerships, and adapting to changing regulatory requirements. Successful players will be those able to offer a comprehensive suite of products and services tailored to the specific needs of their target customer segments, accompanied by reliable data security and accessibility.

In August 2024, South China Morning Post was the second highest grossing news app in Hong Kong, earning around 72.5 thousand U.S. dollars of revenue. Bloomberg took the first spot, and was the only one local service provider among the top ten highest-earning news app in that month.

BYD's 2024 financial performance showcases a 29% revenue increase, surpassing $100 billion, and solidifies its lead over Tesla in China's competitive auto market.

Nvidia is poised for strong earnings with a forecasted 73% revenue surge, driven by high demand for Blackwell GPUs and sustained enterprise commitments from major tech giants.

This is data and slides for an anticipated forthcoming publication.

Telecommunications companies (telcos) provide infrastructure essential to the delivery of digital content. Further, investment in next-generation communication technologies is also seen as critical to overall competitiveness of a market. This dataset results from an examination of the case to be made for European telco consolidation, through comparison with both telcos in the more-concentrated US market, and with other corporations involved in the information or ``eye-ball'' value chain. We find that both profits and growth for EU and US telcos are already comparable before investment in infrastructure, and that in line with standard theory, more value is returned to customers in the form of infrastructure investment in the less-concentrated, EU market. Profits are also in line with other companies in the value chain, with the notable exception of the extremely-concentrated digital ad exchanges segment.

The data for the charts was collected from Bloomberg, so we therefore have protected the primary datasheet, available on specific request.

No discrepancies with information available from other public sources was identified in respect of the data on revenue. However, companies do not report operating profit (EBIT) and EBITDA systematically in the same manner. We based our calculation on the Bloomberg adjusted EBIT and EBITDA. We thank Benedikt Ströbl for comparing the Bloomberg revenue, EBIT and EBITDA figures with other available sources for all companies in the sample. In particular, the data from Bloomberg was compared to data from Alphaquery and 10-K and annual reports.

The below is a non-exhaustive list of the data points for which the Bloomberg adjusted data displayed a delta compared to the data that could be collected from the public sources used for verification, where only some years displayed a delta in the data the year is specified in brackets: (i) in respect of EBIT: Publicis (2018, 2019), NYT (2017) and Axel Springer (2017 and 2019); (ii) in respect of EBITDA (additionally to EBIT list): Verizon, Bertelsmann (2018), Interpublic (2019).

Finally, to avoid any confusion in respect of the segment data for Alphabet, the data is presented as retrieved from Bloomberg in full on the tab “Alphabet”, data from the SEC reports used on top of the Bloomberg data to estimate the EBITDA is also reproduced on this tab.

According to Cognitive Market Research, the global Financial Data Service market size will be USD 24152.5 million in 2024. It will expand at a compound annual growth rate (CAGR) of 8.50% from 2024 to 2031.

North America held the major market share for more than 40% of the global revenue with a market size of USD 9661.00 million in 2024 and will grow at a compound annual growth rate (CAGR) of 6.7% from 2024 to 2031.
Europe accounted for a market share of over 30% of the global revenue with a market size of USD 7245.75 million.
Asia Pacific held a market share of around 23% of the global revenue with a market size of USD 5555.08 million in 2024 and will grow at a compound annual growth rate (CAGR) of 10.5% from 2024 to 2031.
Latin America had a market share of more than 5% of the global revenue with a market size of USD 1207.63 million in 2024 and will grow at a compound annual growth rate (CAGR) of 7.9% from 2024 to 2031.
Middle East and Africa had a market share of around 2% of the global revenue and was estimated at a market size of USD 483.05 million in 2024 and will grow at a compound annual growth rate (CAGR) of 8.2% from 2024 to 2031.
Datafeed/API solutions are the dominant segment, as they allow seamless data integration into existing systems and platforms, making them ideal for companies requiring real-time data across multiple applications

Market Dynamics of Financial Data Service Market

Key Drivers for Financial Data Service Market

Increased Data-Driven Decision-Making to Boost Market Growth

As digital transformation sweeps through financial services, data-driven decision-making has become essential for businesses to remain competitive. Institutions, both financial and non-financial, are increasingly leveraging financial data to guide strategic investments, manage risks, and streamline operations. By utilizing real-time data and predictive analytics, companies gain actionable insights to optimize their investment portfolios and financial planning. With the enhanced capability to analyze data trends and assess market scenarios, businesses can mitigate risks more effectively, making this driver critical to the growth of the financial data service market. For instance, in September 2022, Alibaba Cloud, the digital technology and intellectual backbone of Alibaba Group, launched a comprehensive suite of Alibaba Cloud for Financial Services solutions. Comprising over 70 products, these solutions are designed to help financial services institutions of all sizes across banking, FinTech, insurance, and securities, digitalize their operations

Advancements in Analytics Technology to Drive Market Growth

The integration of advanced analytics technologies like artificial intelligence (AI) and machine learning (ML) in financial data services has significantly enhanced the accuracy and scope of market insights. AI and ML enable companies to process vast amounts of financial data, identify patterns, and make predictions, thus facilitating strategic planning and investment optimization. These technologies also allow for real-time insights, giving firms a competitive advantage in rapidly evolving markets. With continuous improvements in AI and ML, the demand for advanced data services is expected to grow, positioning this as a key driver of market expansion.

Restraint Factor for the Financial Data Service Market

High Cost of Data Services Will Limit Market Growth

The high cost of premium financial data services is a significant restraint, particularly for small and medium-sized enterprises (SMEs). Many advanced platforms and data feeds come with substantial subscription fees, limiting their accessibility to larger organizations with more considerable budgets. This cost barrier restricts smaller firms from fully integrating advanced data insights into their operations. As a result, high subscription costs prevent widespread adoption among SMEs, hindering the financial data service market’s overall growth potential.

Trends for the Financial Data Service Market

Blockchain-based Data Services as an opportunity for the market

Blockchain-based data services offer a secure, transparent, and decentralized approach to financial data management. By leveraging blockchain technology, finance data services can provide tamper-proof and auditable data storage, ensuring the integrity and accuracy of financial data. This can help...

Hon Hai sees earnings decline amid dwindling iPhone sales and rising AI server investments, but a positive AI growth outlook hints at potential revenue revival by 2025.

Our work seeks to better understand the financial risks to corporate operations as a basis for exploring alternative public-private investment strategies. We applied network analysis to model financial relationships within this sector and its connectedness to primary commodities transported on the Great Lakes. The financial network maps were used to quantitatively analyze the industry risk exposure using corporate financial metrics and to query the financial interdependencies of companies relative to the Great Lakes waterway. Results demonstrate that inventory turnover ratio is a robust proxy to quantify weighted financial risks of water dependency across the entire supply chain network.

All data was manually collected from the Bloomberg Terminal and FactSet which are licensed by the University of Michigan. The SPLC module in the Terminal restricts data download and information must be captured manually. All data was collected from September-November 2018.

What if the company that houses some of the favorite snacks such as Pringles, Cheeze-It and Kelloggs among several is under process of being acquired by the sweet shop Mars!?I analyzed the acquisition of Kellanova (former Kelloggs) by Mars, Incorporated. To give a background of the deal, on August 13, 2024, Mars, Incorporated and Kellanova entered into a definitive agreement under which Mars has agreed to acquire Kellanova for a total consideration of $35.9 Billion at a premium of 33% to Kellanova’s unaffected 52-week high as of August 2, 2024. The total valuation is at acquisition multiple of 16.4x LTM adjusted EBITDA as of June 29, 2024. The deal is expected to significantly increase leverage of Mars and has led to downgrading the issuer to ‘A’ from ‘A+.’ With several strategic synergies, the deal is focused on enhancing financial stability to boost investor confidence. The acquisition is expected to close first half of 2025 with a successful integration of Kellanova.One of the most significant challenges was valuing Mars. Mars is a privately held company with very little or next to none financial information available in public domain. I also looked-up databases such as Preqin and Crunchbase, which are meant for privately held companies. Further, the date of valuation of acquisition of June 29, 2024 posed unique challenge to conduct valuation analysis as of that date. I have derived valuation financial parameters and conducted valuation of the target company as of June 28, 2024 and June 29, 2024 based on availability of financial information. The valuations of target company Kellanova and purchasing company Mars have been done using current and forward valuation multiples.The acquisition analysis has been developed by leveraging financial information available over databases such as CapitalIQ, LSEGWorkspace and BloombergCapitalMarkets.