Banking Profitability in a Higher-Cost Operating Environment
Bank profitability has rebounded from the immediate shocks of the pandemic, but the operating environment facing banks in major markets is structurally more expensive than it was a decade ago. Higher funding costs, wage inflation, intense technology investment, and mounting regulatory and capital requirements are compressing margins even as interest rates have risen. For executives, investors, and policymakers, the key question is no longer whether costs are rising, but how sustainable profitability can be maintained when virtually every input to running a bank is more expensive.
This article examines the main cost pressures on banks, why profitability outcomes differ sharply across regions and business models, and what strategic levers banks are using to defend returns. It focuses on commercial and retail banks in advanced and larger emerging markets, where the tension between higher income from rates and higher structural costs is most visible.
How the cost base of banks is changing
The operating cost base of banks has shifted from being dominated by branches and back-office staff toward technology, risk and compliance, and specialized talent. That shift has not reduced total costs as much as many hoped; in several markets it has simply changed what is expensive.
According to the Bank for International Settlements (BIS), global banks' cost-to-income ratios have hovered around 60% on average over the past decade, with wide variation between regions and institutions. European banks have often reported cost-to-income ratios above 65%, while more efficient North American and some Asia-Pacific banks achieve ratios closer to 50% or lower. The stability of these averages masks major internal shifts: branches have been closed, but technology budgets and regulatory costs have surged.
A 2024 McKinsey Global Banking Annual Review notes that IT and operations now account for roughly one-third of the cost base at many universal banks, up from closer to one-quarter a decade earlier. At the same time, wage inflation and competition for data, cyber, and AI talent have pushed personnel costs higher even when headcount is stable or falling. In many markets, banks are also facing higher deposit betas-meaning they must pass more of policy rate increases to customers-raising funding costs and eroding part of the benefit of higher interest rates.
For readers tracking broader sector trends, our dedicated pages on banking, economy, and stock markets provide additional context on how these structural shifts are reflected in financial performance and market valuations.
Interest rates: boon, burden, or both?
Higher interest rates since 2022 have lifted net interest income (NII) for many banks, but the effect on profitability is more nuanced than headline figures suggest. The impact depends on balance-sheet structure, competitive dynamics, and how quickly funding costs reprice relative to asset yields.
In the United States, the Federal Reserve's rapid rate hikes from near zero to over 5% initially delivered a windfall to banks with large portfolios of non-interest-bearing deposits and variable-rate loans. However, as competition for deposits intensified-particularly after the 2023 regional bank stresses-deposit betas rose and customers shifted into higher-yielding products or money-market funds. The FDIC's Quarterly Banking Profile shows NIMs (net interest margins) widening in 2022, then flattening or narrowing for many banks in late 2023 and 2024 as funding costs caught up.
In Europe, the picture is more mixed. The European Central Bank (ECB) has documented that euro-area banks benefited significantly from rising rates in 2022-2023, as many retail deposits repriced slowly while loan yields rose more quickly. However, banks with large fixed-rate mortgage books or legacy low-yield securities have seen asset yields lag, while funding and wholesale market costs rose relatively fast. Moreover, competition from fintechs and nonbank lenders in some segments has constrained pricing power.
In several emerging markets, higher rates have coincided with macroeconomic volatility and credit quality concerns. While NII may rise, higher expected credit losses and regulatory capital buffers can offset the benefit. For banks in economies with high public-sector borrowing needs, crowding out by government securities can also limit profitable lending opportunities.
The net effect is that higher rates are no longer an unambiguous positive for profitability. They can improve margins for well-positioned banks, but they also raise the cost of mistakes in interest-rate risk management and funding strategy. For a broader macro perspective, readers may find our global and business sections useful for tracking how monetary policy shifts are feeding through to corporate borrowing and investment.
Key cost drivers in today's banking environment
Technology and digital transformation
Technology is simultaneously a cost driver and a potential source of scale economies. Most large banks are running two technology stacks in parallel: legacy core systems that are costly to maintain and newer digital platforms built to compete with fintechs and digital-only banks.
The Bank of England has highlighted that UK banks' technology and operations spending has risen steadily, driven by cyber-security, resilience, and digital transformation programs. Globally, Gartner estimates that banking and securities firms' IT spending surpassed $650 billion in 2024, with strong growth in cloud services, cybersecurity, and data analytics.
Banks are investing heavily in:
Cloud migration and modernization of core systems
Digital channels for retail and SME customers
Data platforms and analytics capabilities
AI applications for risk, customer service, and operations
Cyber-security and resilience measures
These investments can reduce marginal transaction costs and enable more personalized services, but payback periods are long and benefits often depend on reengineering processes rather than simply adding technology. Banks that fail to decommission legacy systems or rationalize overlapping platforms risk carrying duplicative cost structures for years.
Readers interested in the role of AI and technology in this cost-income equation can explore our dedicated coverage of artificial intelligence and technology, where we examine how incumbents and fintech challengers are deploying new tools in financial services.
Regulatory, compliance, and capital requirements
Regulatory expectations have expanded significantly since the global financial crisis. While enhanced prudential standards have made the system more resilient, they have also increased the cost of doing business, particularly for internationally active banks.
The Basel Committee on Banking Supervision's Basel III framework and its finalization ("Basel 3.1" in some jurisdictions) have raised capital requirements for certain portfolios, introduced leverage ratios, and tightened risk-weighting methodologies. The European Banking Authority (EBA) and national regulators have added layers of reporting, stress testing, and supervisory review. In the United States, regulators have proposed higher capital requirements for large banks following the 2023 regional bank failures, although the final shape is still evolving.
Compliance costs have also risen in areas such as anti-money-laundering (AML), sanctions screening, conduct risk, and consumer protection. A study by Thomson Reuters has repeatedly found that financial institutions allocate a growing share of budgets to compliance staffing, technology, and training. These costs tend to be largely fixed, creating scale advantages for larger banks that can spread them across bigger revenue bases.
Capital requirements indirectly affect profitability by constraining leverage and influencing business mix. Higher risk-weighted assets (RWAs) for certain activities, such as trading or specialized lending, can make them less attractive relative to lower-RWA products, even if margins are higher. This pushes banks toward fee-based and capital-light businesses, but those areas are also competitive and often require significant upfront investment.
Labor markets and skills
Banking has always been talent-intensive, but the profile of required skills is changing. Traditional branch and back-office roles are being reduced or reconfigured, while demand for data scientists, cyber-security specialists, cloud engineers, and AI experts has surged. These skills are scarce and highly mobile across industries, putting upward pressure on compensation.
In major financial centers such as New York, London, Frankfurt, Singapore, and Hong Kong, banks compete not only with each other but also with big technology firms and startups. Surveys by Deloitte and PwC suggest that talent shortages in technology and risk functions are among the top operational concerns for bank executives. Wage inflation in these roles raises the cost of maintaining and enhancing critical infrastructure and analytics capabilities.
At the same time, political and social expectations around fair pay, diversity, and job quality limit how aggressively banks can push cost-cutting in lower-paid roles. In some countries, labor regulations and union agreements make branch closures and headcount reductions more complex or costly, slowing the pace at which banks can adapt their workforce to digital realities.
Profitability patterns: why some banks are coping better
Despite broadly similar cost pressures, profitability outcomes differ sharply across banks and regions. Several structural and strategic factors explain why some institutions are maintaining or even expanding returns on equity (ROE) while others struggle.
Business mix and revenue diversification
Banks with diversified revenue streams-combining retail and commercial banking with payments, wealth management, and fee-based services-are generally better positioned. Fee income from asset management, transaction services, and advisory activities can be less sensitive to interest-rate cycles and can scale with technology investments.
For example, large universal banks in North America and parts of Asia often generate a significant share of income from payments and wealth management. This helps offset margin pressure in lending businesses and supports investment in digital platforms. By contrast, banks heavily reliant on low-margin, commoditized lending in saturated markets may find it harder to generate sufficient income to cover rising costs.
Our investment and innovation sections frequently highlight how business-model diversification and new product development are changing the economics of financial services, including for incumbents.
Scale and cost efficiency
Scale remains a powerful determinant of cost efficiency. Larger banks can spread fixed technology, compliance, and product-development costs over a broader revenue base. They also tend to have more bargaining power with vendors and greater ability to invest in automation and shared-service centers.
Empirical studies by the IMF and ECB have found that cost-to-income ratios generally decline with size up to a point, although diseconomies of complexity can arise for the very largest institutions. In fragmented markets with many small banks, consolidation can be a route to improving sector-wide efficiency, though it also raises competition and financial-stability questions.
Digital-only challenger banks have attempted to build low-cost models without legacy infrastructure. Some have achieved impressive customer growth and lean cost structures, but many still struggle to translate that into sustainable profitability, partly because they often lack the high-margin or fee-rich products that incumbent banks use to cross-subsidize basic services.
Risk management and funding strategy
Banks that entered the current environment with conservative interest-rate risk profiles and diversified funding bases have fared better. The 2023 failures of Silicon Valley Bank and several other US regional institutions highlighted the danger of concentrated, rate-sensitive deposits and large portfolios of long-duration securities held at low yields. Poorly hedged interest-rate risk can turn what should be a profitable rate-hiking cycle into a solvency challenge.
By contrast, banks with robust interest-rate risk management, diversified retail and wholesale funding, and strong liquidity buffers have generally been able to capture higher NII without destabilizing outflows. Regulators, including the US Federal Reserve and European Banking Authority, have since emphasized more stringent interest-rate risk and liquidity management expectations, which themselves add to compliance and risk-management costs.
Strategic responses: how banks are defending profitability
In response to higher structural costs, banks are deploying a mix of tactical and strategic measures. The most effective approaches tend to combine cost transformation with revenue growth and balance-sheet optimization rather than focusing solely on expense reduction.
Rewiring cost structures, not just cutting
Traditional cost-cutting-branch closures, headcount reductions, procurement savings-remains part of the playbook, but leading banks are increasingly focused on "rewiring" cost structures. That means simplifying product portfolios, rationalizing legal entities, standardizing processes across regions, and aggressively decommissioning legacy systems.
Process automation using robotics and AI is a major focus. For example, banks are automating KYC (know-your-customer) checks, loan underwriting workflows, and back-office reconciliations. Accenture and other consultancies estimate that intelligent automation can reduce processing costs in certain functions by 20-40% over time, though realized savings depend heavily on execution and change management.
Importantly, banks are learning that cost transformation must be accompanied by organizational and cultural change. Without redesigning processes and incentives, technology projects often fail to deliver promised savings. This is where cross-functional teams and agile delivery models are increasingly used to align IT, operations, and business units.
For readers following how banks are adapting their operating models in the context of fintech and AI, our innovation and artificial intelligence coverage explores concrete case studies and emerging best practices.
Pricing, product, and customer strategy
On the revenue side, banks are re-examining pricing and product design to better reflect rising costs and capital requirements. This includes:
More granular risk-based pricing of loans, factoring in capital and funding costs
Fees for previously "free" services, particularly where regulatory or technology costs have risen
Bundled offerings that combine accounts, payments, and value-added services (such as budgeting tools or insurance)
Expansion into wealth management, advisory, and SME services where margins can be higher
However, competitive and regulatory constraints limit how far banks can push pricing. In many markets, consumer-protection rules and political scrutiny make overt fee hikes sensitive. Digital challengers and nonbank lenders also constrain incumbents' ability to raise prices without losing market share.
This tension is particularly visible in retail banking, where customers often expect low-cost or free basic services, even as banks bear growing costs for cybersecurity, fraud prevention, and regulatory compliance. Some banks are therefore focusing on deepening relationships with existing customers-cross-selling mortgages, investments, and insurance-rather than simply growing account numbers.
Capital and portfolio optimization
Capital is a scarce and expensive resource in a higher-cost environment. Banks are increasingly using sophisticated portfolio analytics to allocate capital to businesses and products with the best risk-adjusted returns. This may involve exiting low-return segments, securitizing or selling portfolios, or partnering with nonbank investors (such as private credit funds) to share risk.
The growth of private credit and alternative lenders has created both competition and partnership opportunities. Some banks originate loans and distribute them to institutional investors, earning fees while reducing balance-sheet usage. Others co-lend with private funds or provide financing to those funds, effectively shifting risk and capital intensity off their own balance sheets.
Regulators are watching these developments closely, as they can shift risk to less regulated parts of the financial system. The Financial Stability Board (FSB) has warned about potential vulnerabilities in nonbank financial intermediaries, which could have feedback effects on banks in a stress scenario.
Regional differences and the role of policy
Bank profitability and cost dynamics are not uniform across regions, and public policy plays a significant role in shaping the operating environment.
In the United States, large banks generally enjoy higher ROEs than many European peers, aided by a relatively profitable domestic market, deeper capital markets businesses, and more flexible labor markets. However, they also face intense regulatory scrutiny and potential increases in capital requirements following recent bank failures, which could raise their cost of capital.
In the euro area, structurally low growth, banking-sector fragmentation, and legacy non-performing loan (NPL) issues have weighed on profitability for years. The ECB and European Commission have encouraged consolidation and cross-border integration, but political and legal barriers remain. Higher rates have offered some relief, yet cost-to-income ratios remain elevated for many institutions, and competition from nonbanks is intensifying.
In parts of Asia, especially markets like Singapore and some East Asian economies, banks often exhibit strong efficiency metrics and diversified fee income, supported by dynamic trade and wealth-management hubs. However, exposure to real-estate cycles and geopolitical tensions adds risk. Chinese banks, in particular, are navigating slowing growth, property-sector stress, and evolving regulatory priorities, all of which influence profitability.
Emerging markets in Africa and Latin America face their own mix of challenges and opportunities: less mature digital infrastructure but sometimes faster adoption of mobile banking; higher interest margins but greater macroeconomic volatility and credit risk.
For readers interested in how these dynamics intersect with employment and broader economic outcomes, our employment and global pages follow labor-market shifts and cross-border capital flows that shape banking strategies.
The competitive threat from fintechs and big tech
Fintechs and big technology companies add another layer to the higher-cost environment. On one hand, they intensify competition for profitable segments such as payments, consumer lending, and small-business services. On the other, they offer banks technology partnerships that can reduce development costs and accelerate innovation.
Payment fintechs and digital wallets have eroded fee income from traditional card and payments businesses, especially in e-commerce. Buy-now-pay-later (BNPL) providers, though now more regulated in several markets, have demonstrated that parts of consumer credit can be unbundled and re-priced. Big tech platforms with enormous user bases can steer transaction flows in ways that sideline banks from customer interfaces.
Regulators, including the European Commission and US Consumer Financial Protection Bureau (CFPB), are increasingly scrutinizing both bank and nonbank providers to ensure fair competition and consumer protection. Some jurisdictions are moving toward open banking or open finance frameworks, forcing banks to share data with third-party providers (with customer consent), which can erode incumbents' informational advantages while also creating new collaboration models.
Banks' responses vary: some build their own digital brands, others partner with or acquire fintechs, and many provide "banking-as-a-service" infrastructure behind third-party apps. Each path has different cost and profitability implications. Successful strategies tend to focus on areas where the bank has a durable advantage-such as risk management, regulatory expertise, or trust-while leveraging partners for customer experience and specialized technology.
What a sustainable profitability model may look like
In a higher-cost operating environment, sustainable bank profitability is likely to rest on several pillars rather than a single lever:
A balanced business mix that combines interest income with scalable fee-based services
Disciplined cost transformation that simplifies operations and decommissions legacy systems, rather than layering new technology on top
Robust risk and funding management that avoids large unhedged exposures to rate or liquidity shocks
Thoughtful use of partnerships and ecosystems to access technology and distribution without losing control of core economics
A clear capital-allocation framework that prioritizes businesses with strong risk-adjusted returns and manageable capital intensity
For investors and corporate clients, understanding how individual banks are navigating these trade-offs is critical. Financial disclosures, stress-test results, and regulatory filings provide clues, but qualitative factors-management credibility, execution track record, and adaptability-are increasingly important in judging which institutions can thrive as costs continue to rise. Folks following broader shifts in business models and corporate strategy may find our business, marketing, and sustainable sections helpful for seeing how similar cost and regulatory pressures play out in other industries, from energy to technology. Banking is unlikely to return to the pre-crisis era of thin capital, light regulation, and abundant cheap funding. Instead, profitability will depend on how effectively banks can operate in a world where resilience, compliance, technology, and talent all cost more. Those that can convert these necessities into competitive advantages-through smarter use of data, more efficient operations, and more diversified revenue-will be better placed to deliver stable returns, even as the cost of doing business continues to climb.
