The adoption of artificial intelligence (AI) is projected to significantly impact global banking profits. Based on 2023 banking sector performance and expert forecasts, AI implementation could add 170 billion U.S. dollars (or nine percent) to the global banking sector profit pool by 2028. In 2023, global banking sector profit reached 1,439 billion U.S. dollars. The baseline profit forecast for 2028, growing in line with nominal GDP, is expected to reach 1,822 billion U.S. dollars - a 384 billion U.S. dollars increase from 2023. AI adoption across the sector is estimated to generate an additional 170 billion U.S. dollars in profits, potentially bringing total banking sector profits to 1,992 billion U.S. dollars by 2028.

Generative artificial intelligence (GenAI) could have a significant impact on the banking sector in terms of added value when deployed in some use cases. The total potential added value could range between *** and *** billion U.S. dollars, which is equivalent to ***** to **** percent of the total industry revenue. In the case of successful applications of GenAI, the banking industry could see a profit increase of between **** and ** percent.

Artificial intelligence (AI) could potentially lead to increased revenue in the banking sector across multiple business segments. The economic benefits of AI could likely benefit all banking segments, with the highest gains in the corporate and retail banking sectors. These segments could see an added value of *** and *** billion U.S. dollars, respectively, in case of successfully implemented AI use cases.

Starling Bank reported a **** million net loss in 2016 upon receiving its banking license. Between 2016 and 2021, the bank's net profit showed a downward trend, reaching its lowest point in 2019, with a loss of ***** million British pounds. However, the bank saw a significant improvement in 2022 and achieved a net profit of ***** million British pounds. Net profit increased in the following years, reaching *** million British pounds in 2024, the highest in the observed period, before dropping to ****** million British pounds in 2025.

These reports collect basic financial data of commercial banks in the form of a balance sheet, an income statement, and supporting schedules. The Report of Condition schedules provide details on assets, liabilities, and capital accounts. The Report of Income schedules provide details on income and expenses.

Deutsche Bank's net profit between 2007 and 2023 showed significant fluctuations, reflecting inconsistent performance largely influenced by broader economic factors. The bank experienced volatile results, including periods of losses and modest gains. However, recent years saw a notable turnaround. Between 2021 and 2023, Deutsche Bank demonstrated strong performance, with 2022 and 2023 standing out as particularly profitable years, marking a positive shift in the bank's financial trajectory. In 2023, the bank's net profit amounted to 4.9 billion euros.

South Korea BSI: Weighted: Actual: AI: Profit data was reported at 65.000 NA in Apr 2020. This records a decrease from the previous number of 69.000 NA for Mar 2020. South Korea BSI: Weighted: Actual: AI: Profit data is updated monthly, averaging 87.000 NA from Aug 2009 (Median) to Apr 2020, with 129 observations. The data reached an all-time high of 100.000 NA in Apr 2010 and a record low of 65.000 NA in Apr 2020. South Korea BSI: Weighted: Actual: AI: Profit data remains active status in CEIC and is reported by The Bank of Korea. The data is categorized under Global Database’s South Korea – Table KR.S012: Business Survey Index (BSI): The Bank of Korea: KSIC 9th Revision: Weighted. [COVID-19-IMPACT]

Success.ai’s Company Financial Data for Banking & Capital Markets Professionals in the Middle East offers a reliable and comprehensive dataset designed to connect businesses with key stakeholders in the financial sector. Covering banking executives, capital markets professionals, and financial advisors, this dataset provides verified contact details, decision-maker profiles, and firmographic insights tailored for the Middle Eastern market.

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The net profit of Bank of New Zealand, known as BNZ, amounted to approximately 1.51 billion New Zealand dollars in 2024. BNZ is one of the largest banks in New Zealand and was founded in 1861.

Introduction

Mistral AI Statistics:Â Founded in April 2023 by former DeepMind and Meta researchers, Mistral AI is a Paris-based startup specializing in open-source large language models. The company has rapidly ascended in the AI sector, securing a total of $1.2 billion across four funding rounds. Its Series B round in June 2024 raised $640 million, comprising $503 million in equity and $142 million in debt, elevating its valuation to $6 billion.

In addition to its funding success, Mistral AI has formed strategic partnerships to bolster its market presence. In February 2024, the company entered into a collaboration with Microsoft, which included a €15 million investment and the integration of Mistral's models into Microsoft's Azure platform. Furthermore, in July 2024, Mistral AI partnered with BNP Paribas to enhance the bank's operations in customer support, sales, and IT through the application of generative AI.

Mistral AI's flagship model, Mistral 7B, is a 7-billion-parameter open-source language model released in September 2023. The company continues to develop advanced AI models, positioning itself as a formidable competitor in the global AI landscape.

This article explores the Mistral AI statistics progress in 2024, highlighting some of the key achievements and opportunities along the growth path.

UAB "Bankai.lt" financial data: profit, annual turnover, paid taxes, sales revenue, equity, assets (long-term and short-term), profitability indicators.

UniCredit bank's profit in Romania had constantly been increasing over the period under consideration, except in 2020 due to the COVID-19 pandemic outbreak. In 2024, the UniCredit reached a net profit of 247 million euros.

Estonia Commercial Banks: Con: LE: Equity: AI: Items Reclassifiable to Profit or Loss (IR) data was reported at -0.200 EUR mn in Jun 2018. This stayed constant from the previous number of -0.200 EUR mn for May 2018. Estonia Commercial Banks: Con: LE: Equity: AI: Items Reclassifiable to Profit or Loss (IR) data is updated monthly, averaging -0.200 EUR mn from Sep 2014 (Median) to Jun 2018, with 46 observations. The data reached an all-time high of 15.300 EUR mn in May 2016 and a record low of -0.900 EUR mn in Sep 2015. Estonia Commercial Banks: Con: LE: Equity: AI: Items Reclassifiable to Profit or Loss (IR) data remains active status in CEIC and is reported by Bank of Estonia. The data is categorized under Global Database’s Estonia – Table EE.KB010: Consolidated Balance Sheet: Commercial Banks.

Q - What makes your data unique?
A - The data is based on Efficient Frontier Analysis (EFA) which accurately measures bank performance but also reveals the best level of performance for the given business portfolio of each bank as well as the optimal business portfolio for maximizing profit. The ratings are superior to any traditional or other measures of bank operational efficiency and business quality because they not only measure performance, but indicate the limits of performance based on the underlying business portfolio of each bank. Using EFA also eliminates the "noise" of industry and economic trends because the Efficient Frontier moves with such trends and automatically accounts for them. Further, Efficient Frontiers exist for each reported expense item allowing detailed ratings of each resource of a bank's operations. Q - How is the data generally sourced?
A - The ratings are generated using data from bank Call Reports filed with the FDIC quarterly. The Call Reports contain vast amounts of data on the financial and operating results of each bank and provides a robust and consistent set of measures from which to generate Efficient Frontiers. Because all banks with FDIC insurance must file Call Reports with the FDIC, we can provide ratings on more than 99% of all FDIC insured banks. Q - What are the primary use-cases or verticals of this Data Product? A - Investors use the measures to differentiate high performing banks from the pack or identify improving or declining banks. PE and other acquirers/owner firms will do likewise, as well as seek insights on how to best improve performance of portfolio companies, target acquisitions, model post-acquisition integrations, etc. Bank management use the measures to identify competitive advantages and weaknesses as well as measuring the potential benefit of improving/retaining a level of performance relative to peers. Q - How does this Data Product fit into your broader data offering? A - Hoeg & Company, Ltd. provides Operational Efficiency & Business Quality Ratings on Banks, Credit Unions & Insurers using EFA. These financial industries all have rigorous regulatory requirements and standards for financial and operational performance reporting (Call Reports & Statutory Financial Reports) which assures detailed, accurate and consistent data that facilitates EFA. Our bank ratings are our most extensively produced set of ratings.

The operating profit or loss of the commercial banking division of NatWest Group fluctuated considerably between 2012 and 2024. As of 2024, the group reported operating profits amounting to around 3.58 billion British pounds. The NatWest group was named the Royal Bank of Scotland group until 2020, when it was renamed after the brand under which the majority of its business was delivered.

France Asset: Stock: NP: CD: AI: Euro data was reported at 199.320 EUR mn in Jun 2018. This records an increase from the previous number of 143.779 EUR mn for Mar 2018. France Asset: Stock: NP: CD: AI: Euro data is updated quarterly, averaging 191.300 EUR mn from Dec 1995 (Median) to Jun 2018, with 91 observations. The data reached an all-time high of 368.000 EUR mn in Sep 2012 and a record low of 76.500 EUR mn in Dec 2006. France Asset: Stock: NP: CD: AI: Euro data remains active status in CEIC and is reported by Bank of France. The data is categorized under Global Database’s France – Table FR.AB014: ESA 2010: Funds by Sector: Non Profit Institutions Serving Households (NP): Stock.

Estonia Commercial Banks: Con: NR: LE: Equity: Accumulated Other Comprehensive Income (AI) data was reported at -0.200 EUR mn in Jun 2018. This stayed constant from the previous number of -0.200 EUR mn for May 2018. Estonia Commercial Banks: Con: NR: LE: Equity: Accumulated Other Comprehensive Income (AI) data is updated monthly, averaging 0.000 EUR mn from Apr 2008 (Median) to Jun 2018, with 123 observations. The data reached an all-time high of 15.300 EUR mn in May 2016 and a record low of -6.900 EUR mn in Jul 2008. Estonia Commercial Banks: Con: NR: LE: Equity: Accumulated Other Comprehensive Income (AI) data remains active status in CEIC and is reported by Bank of Estonia. The data is categorized under Global Database’s Estonia – Table EE.KB012: Consolidated Balance Sheet: Commercial Banks: Non Residents.

France Asset: Stock: NP: CD: Accrued Interest (AI) data was reported at 199.320 EUR mn in Jun 2018. This records an increase from the previous number of 143.779 EUR mn for Mar 2018. France Asset: Stock: NP: CD: Accrued Interest (AI) data is updated quarterly, averaging 191.300 EUR mn from Dec 1995 (Median) to Jun 2018, with 91 observations. The data reached an all-time high of 368.000 EUR mn in Sep 2012 and a record low of 76.500 EUR mn in Dec 2006. France Asset: Stock: NP: CD: Accrued Interest (AI) data remains active status in CEIC and is reported by Bank of France. The data is categorized under Global Database’s France – Table FR.AB014: ESA 2010: Funds by Sector: Non Profit Institutions Serving Households (NP): Stock.

France Liabs: Flow: HN: Loans: AI: Euros data was reported at -98.145 EUR mn in Mar 2018. This records an increase from the previous number of -144.000 EUR mn for Dec 2017. France Liabs: Flow: HN: Loans: AI: Euros data is updated quarterly, averaging -19.000 EUR mn from Mar 1996 (Median) to Mar 2018, with 89 observations. The data reached an all-time high of 664.000 EUR mn in Mar 1996 and a record low of -691.000 EUR mn in Dec 1998. France Liabs: Flow: HN: Loans: AI: Euros data remains active status in CEIC and is reported by Bank of France. The data is categorized under Global Database’s France – Table FR.AB011: ESA 2010: Funds by Sector: Households and Non Profit Institutions Serving Households (HN): Flow .