DBS reported net profit of SGD 11.0 billion ($8.1 billion) for financial year 2025 on total income of SGD 22.9 billion ($16.9 billion), even as benchmark interest rates declined materially across its core markets. The Singapore Overnight Rate Average and Hong Kong Interbank Offered Rate each fell by almost two percentage points during the year, compressing lending spreads across the system.

The environment did not favour traditional balance sheet expansion. Loan growth was about 6%, while deposits increased by SGD 64 billion ($47.3 billion), shifting the balance sheet toward liquidity accumulation rather than credit extension. Net interest income held at SGD 14.5 billion ($10.7 billion) despite margin compression, supported by funding growth and structural hedging.

Non-interest income expanded. Fee income rose 18% to SGD 4.9 billion ($3.6 billion), led by wealth management. Treasury customer sales increased 14% and trading income rose 49%. Profit before tax reached SGD 13.1 billion ($9.7 billion), while return on equity was 16.2%, even after tax expense increased by about SGD 400 million ($295 million) following implementation of the global minimum tax and higher allowances after classification of a long-monitored real estate exposure as non-performing.

Tan framed the year not as one carried by rate tailwinds but as one shaped by behaviour and positioning. In her view, the rate cycle has become less decisive than customer concentration, liquidity flows and operational capacity. The central question is no longer how much balance sheet growth can be generated in a rising-rate environment, but how earnings hold when spreads compress and capital flows fragment.

She described customers, corporates and investors as adjusting behaviour in response to lower rates and geopolitical realignment. Rather than expanding leverage, many accumulated liquidity, diversified currencies and consolidated relationships. The bank’s performance reflected that behavioural shift.

Tan did not describe the year as a transitional phase but as evidence that the franchise has already evolved. In her framing, the earnings model has been progressively reshaped over time — with funding depth, advisory distribution and transaction flows taking on structural weight. What 2025 demonstrated was not a pivot, but the durability of that architecture under less favourable rate conditions.

Banking in a lower-rate world

Tan described deposit gathering as central in 2025. Deposits expanded materially faster than loans, and surplus liquidity was deployed into high-quality liquid assets. The balance sheet absorbed funding inflows rather than extending credit aggressively.

Margins narrowed as benchmark rates fell. Yet net interest income remained stable at SGD 14.5 billion ($10.7 billion). The stability reflected funding growth, disciplined asset-liability management and structural hedging that offset part of the compression.

Customers who had previously rotated into Treasury bills returned balances to deposit accounts as rates moderated. Retail funding therefore strengthened structural liquidity rather than signalling renewed borrowing demand. Deposit behaviour became a stabilising force.

In this context, spread compression did not translate directly into income contraction. The durability of earnings rested on balance sheet flexibility and depth of funding rather than pure repricing dynamics.

What this implies is a reweighting of the balance sheet’s function. In earlier cycles, earnings sensitivity was concentrated in asset repricing and loan growth momentum. In 2025, sensitivity shifted toward funding composition and liquidity management. When deposit growth materially outpaced loan expansion, the question became not how aggressively to lend, but how effectively to deploy liquidity while preserving margin discipline.

The structural hedge and asset-liability calibration therefore assumed greater importance than incremental credit risk. The franchise demonstrated that balance sheet scale alone is insufficient; what matters is how flexibly that scale can be redeployed when rate conditions reverse.

Customer behaviour as competitive gravity

Tan emphasised that retail played a different role in 2025. It functioned primarily as a funding anchor rather than a credit engine. Over two-thirds of deposit growth came from current and savings accounts rather than fixed deposits, reinforcing low-cost funding stability.

She described a structured progression — from Treasures to Treasures Private Client to Private Bank — allowing deposit relationships to deepen into advisory relationships. Assets under management rose to SGD 488 billion ($360 billion), and net new money reached SGD 39 billion ($28.8 billion).

Wealth distribution compensated for margin pressure. Investment products and bancassurance activity drove fee growth. Rather than expanding leverage, customers diversified portfolios and increased advisory engagement.

Tan also pointed to a K-shaped environment. Stronger households and corporates expanded activity, while some small and medium enterprises faced stress. Credit posture therefore diverged across segments. Unsecured consumer lending was moderated, while viable SMEs continued to receive support.

Customer concentration during uncertainty became a defining pattern. Deposits accumulated where trust was established. Advisory engagement rose where relationships were deeper.

Multipolar trade and currency diversification

The bank was designated a renminbi clearing bank in Singapore in December 2025. Tan characterised the role as infrastructure rather than symbolism. It does not replace US dollar settlement but broadens currency options for clients managing cross-border trade.

She referred explicitly to growth in trade outside the United States, describing a broadening of commercial corridors that is less centred on a single reserve currency and more distributed across Asia and the Gulf. Rather than a geopolitical assertion, this was framed as client-driven diversification. Companies are adjusting procurement, manufacturing and distribution footprints, and banking relationships follow those adjustments.

Clearing capability embeds settlement flows within the bank’s transaction framework. Operating balances associated with settlement deepen funding pools and generate treasury hedging flows. The infrastructure supports both transaction banking and liquidity accumulation.

Treasury customer sales rose 14% during the year. Currency management and hedging activity reflect clients navigating volatility and diversification simultaneously. The clearing mandate reinforces these flows.

Complexity increases as trade fragments. Tan’s position is that complexity favours institutions capable of integrating settlement, liquidity management and risk advisory within a single relationship.

Institutional activity reflected similar dynamics. Financing demand was increasingly linked to supply chain ecosystems rather than broad-based credit expansion. Large regional corporates expanding across ASEAN and into the Middle East brought supplier networks with them, generating short-dated working capital requirements rather than long-tenor balance sheet growth.

Investment in digital infrastructure, including data centres and artificial intelligence-linked capacity, also created episodic financing flows. The emphasis was on facilitating operating networks rather than building directional exposure.

This signals a broader recalibration of institutional banking. Rather than relying on broad-based capital expenditure cycles, activity increasingly arises from ecosystem expansion and supply chain realignment. Financing becomes episodic and tied to working capital velocity rather than structural leverage. In such an environment, transaction capability and risk advisory can carry as much weight as balance sheet size.

The role of the bank shifts from principal lender to network facilitator — integrating trade services, foreign exchange hedging, liquidity pooling and settlement infrastructure. As commercial corridors diversify, clients require fewer standalone products and more integrated platforms. The competitive advantage lies in synchronising these components rather than in maximising asset growth.

Artificial intelligence as operating capacity

Tan described artificial intelligence as reshaping how work is performed rather than as a standalone revenue line. More than 60% of employees use internal generative artificial intelligence tools across credit preparation, servicing and compliance documentation. The emphasis is not productisation but integration.

She noted that artificial intelligence strengthens what she described as structural advantages built over time. Accumulated data, institutional knowledge and customer relationships form a base that allows intelligent systems to operate meaningfully at scale. Without depth of data and contextual understanding of customers, automation risks becoming superficial. With it, decisioning becomes embedded and defensible.

In her articulation, these capabilities form protective layers around the franchise. The first is data — built over years of interaction across retail, wealth and institutional businesses. The second is client trust — particularly during periods of uncertainty when customers consolidate activity with intermediaries perceived as stable. The third is culture — the ability of the organisation to redesign workflows as technology changes how tasks are performed. Artificial intelligence interacts with all three.

The emphasis is on capacity expansion. Processes that previously required extended timelines are completed materially faster. Rather than reducing headcount as a primary objective, the bank seeks to increase throughput and responsiveness. Productivity gains manifest as improved turnaround times, greater transaction handling and faster credit evaluation.

Staff roles evolve accordingly. Routine tasks migrate to automated systems, while employees focus on judgement-intensive activity. Intelligent systems augment decision-making rather than replace it. In this framing, technology does not substitute for institutional experience; it scales it.

Scaling intelligence therefore depends on governance and cultural alignment as much as computing capability. The advantage lies not in isolated pilot projects but in embedding tools across the enterprise in a disciplined manner. Artificial intelligence becomes foundational when it is integrated with data depth, client confidence and organisational adaptability.

Tan drew a distinction between earlier digital transformation initiatives, where incremental revenue and cost benefits could be isolated, and enterprise-wide artificial intelligence deployment, where impact diffuses across functions. While direct attribution becomes more complex, the discipline of value capture remains. The bank continues to assess productivity, turnaround time and revenue uplift across segments, even if benefits no longer appear as discrete line items. Scaling intelligence therefore does not dilute measurement discipline; it reframes it.

Risk discipline and early recognition

Fourth-quarter profit declined sequentially and came in below market expectations. Specific allowances for impaired loans rose to SGD 415 million ($327 million), largely due to the reclassification of a previously monitored real estate exposure as non-performing. This was partly offset by a release of general allowances previously set aside for that exposure, resulting in total allowances for the quarter remaining at SGD 209 million ($165 million).

Allowance coverage stood at 130%, or 197% including collateral. The reclassification followed extended monitoring rather than sudden deterioration.

Tan positioned the shortfall as evidence of discipline. Recognition occurred after prolonged assessment rather than abrupt deterioration. Provisioning was framed as prudent and forward-looking.

Full-year trading income rose 49%, but treasury and market-sensitive lines are inherently volatile. The moderation in the fourth quarter reflected normalisation rather than erosion of structural capacity.

Capital and liquidity buffers remain strong, and general allowances accumulated in earlier periods provide flexibility if macroeconomic conditions soften. Resilience, in this context, is evaluated across cycles, not individual quarters.

In a K-shaped economy, differentiation is unavoidable. Risk management therefore requires selective tightening while maintaining support for viable customers. Early adjustment, rather than delayed recognition, defines the approach.

Foundations of durability

Tan said the durability of the model rests on three foundations — accumulated knowledge of customers built through data and long-standing relationships, the tendency of clients to consolidate activity with a trusted intermediary during uncertainty, and a workforce and culture capable of reshaping workflows as technology changes how work is performed.

These foundations integrate the year’s themes. Deposit concentration reflects trust. Currency diversification flows through transaction infrastructure. Artificial intelligence supports adaptability in execution.

Scale alone is insufficient. Durability emerges when scale interacts with behavioural loyalty and institutional flexibility.

The foundations are cumulative. They develop over time through customer engagement, risk discipline and cultural adjustment. They cannot be replicated quickly or constructed solely through acquisition.

In Tan’s articulation, resilience is structural. It rests on embedded relationships and institutional learning rather than cyclical opportunity. These foundations reinforce each other over time.

Accumulated customer knowledge strengthens credit judgement and advisory relevance. Client trust increases the likelihood that liquidity, settlement and investment flows remain within the franchise during volatility.

Organisational adaptability ensures that technological shifts do not displace institutional memory but instead amplify it. In combination, these attributes create a form of continuity that is difficult to replicate through rapid expansion or acquisition. Resilience, in this framing, is cumulative. It is built incrementally through cycles of stress and adjustment, and it compounds as relationships deepen and processes evolve.

Direction in 2026

The bank expects total income in 2026 to remain around 2025 levels, assuming a Singapore Overnight Rate Average of about 1.25%. Wealth income is projected to grow at mid-teens levels, and overall non-interest income is expected to expand in high single digits. Loan growth is anticipated at mid-single digits, while deposit growth remains supportive. Some general allowances may be written back depending on macroeconomic developments.

Customers are expected to continue diversifying across currencies and markets. Liquidity behaviour and transaction flows are likely to remain central. The direction does not reverse 2025’s pattern. It extends it. Liquidity, advisory distribution, settlement infrastructure and operating capacity continue to underpin earnings.

The outlook therefore depends less on forecasting the precise path of benchmark rates and more on sustaining behavioural concentration. If deposit inflows remain stable and advisory engagement persists, income composition may remain balanced even if lending spreads fluctuate.

The bank’s posture entering 2026 is not expansionary in the traditional sense; it is consolidating. Capital, liquidity and technology investment are calibrated to preserve flexibility across divergent macroeconomic scenarios. In that respect, the strategy is iterative rather than reactive. It builds upon the structural adjustments already embedded in the franchise rather than pursuing abrupt repositioning.

Resilience through connectivity

The year’s performance illustrates a shift in how earnings are constructed. Spread income remains important, but liquidity flows, advisory distribution, transaction infrastructure and operating capacity increasingly determine stability.

Tan’s leadership lens connects customer behaviour, trade fragmentation and technological acceleration into a coherent operating philosophy. Resilience does not derive from rate cycles alone, but from embedded relationships, diversified flows and institutional adaptability.

Connectivity, between customers and advisory platforms, between currencies and settlement infrastructure, and between human judgement and technology, becomes the organising principle.

In a lower-rate and more fragmented world, that connectivity becomes the defining condition of durability.