The UK lost an estimated 148.8 million working days to sickness and injury in 2025, equivalent to 4.4 days per worker, with no meaningful recovery to pre-pandemic levels (ONS, 2026). Most boards register that figure as an HR metric. I would argue it is a capacity constraint, a margin risk, and a forecasting problem. All simultaneously, and none of them adequately priced.
The question CFOs should be asking is not how many days were lost. It is: how much of that cost is sitting unrecognised across our P&L, and what would it take to surface it?
A cost that hides in plain sight
Finance teams are reasonably good at pricing the obvious: salaries, recruitment, overtime, temporary cover, and insurance premiums. What they routinely fail to capture is the operational leakage created by absent employees, partially functional, or quietly deteriorating into higher-risk benefit categories. Ill-health does not appear in one line of the P&L. Instead, it appears in several, fragmented across functions, often labelled as something else.
The HSE estimates the total economic cost of workplace injury and ill-health at £22.9 billion for 2023/24, of which £16.4 billion is attributable to ill-health specifically (HSE, 2025). That figure does not appear on any single organisation's accounts in a legible form. Rather, it dissolves into payroll variances, overtime justifications, delayed project delivery, and renewal uplift on group risk cover. The cost is real; it is simply not organised in a way that demands a response.
That invisibility is the structural problem. When workforce ill-health is treated as an HR matter and managed through wellbeing programmes, absence policies, and occupational health referrals, the financial consequence never reaches the decision-makers with the authority and incentive to address it at scale. The moment it becomes a P&L conversation, the dynamic changes.
When workforce ill-health is treated as an HR matter, the financial consequence never reaches the decision-makers with the authority to address it at scale.
Absence is the entry point, not the full picture
Absence is the easiest component to model. Direct salary cost for lost days, replacement labour, overtime, managerial time absorbed in cover arrangements, and output delays can all be assigned a pound value without heroic assumptions. HSE data confirm that working days lost are predominantly driven by ill-health rather than injury, which means the cost base is structurally linked to long-duration, recurring conditions. Musculoskeletal disorders, mental health conditions, and stress-related illness are not one-off events. They are recurring liabilities.
The practical implication is that absence should be treated as a forecastable operating expense. If an organisation knows where sickness clusters occur by function, by location, or by condition type, it can model expected loss, identify escalation risk, and intervene before acute absence becomes chronic absence. That is a Finance and Risk conversation, not merely an HR one.
But limiting the analysis to absence is where most organisations stop, and where most of the cost goes unmeasured.
Presenteeism is where the real leakage occurs
An employee who is present but operating below capacity still draws a full salary, consumes management attention, and, depending on their role, still carries customer-facing or operational risk. The CIPD reported in 2025 that 35% of organisations observed a rise in presenteeism linked to home working, which is a useful reminder that physical attendance is not a proxy for productive output (CIPD, 2025).
The scale of this problem is difficult to overstate. Analysis from the Institute for Employment Studies and others has consistently identified presenteeism as a larger cost driver than absenteeism in many sectors. Poor mental health alone is estimated to cost UK employers in the region of £51 billion annually, with presenteeism accounting for the largest share of that burden (Institute for Employment Studies, 2023). The precise figure will vary by sector and workforce composition, but the direction is consistent, and it points to a structural undercount in the way organisations measure workforce health costs.
The challenge with presenteeism is that it requires proxy measurement rather than direct observation. Quality defects, rework rates, meeting effectiveness, output-per-head against prior periods, and incident rates all carry a signal. The point is not to build a perfect model on the first pass; rather, it is to introduce a framework that acknowledges the cost exists and begins to track it with discipline.
Limiting the analysis to absence is where most organisations stop and where most of the cost goes unmeasured.
Group insurance exposure is risk intelligence, not just a line item
There is a third dimension that finance teams rarely integrate into this analysis: the evolving risk profile of the group benefits book. As employee health deteriorates, particularly across an ageing or chronically stressed workforce, the probability of claims under group life, critical illness, and long-term disability products rises. Those claims affect renewal pricing, cover terms, and the underwriting scrutiny applied at each review cycle.
Swiss Re's Group Watch 2025 reported continued expansion in the UK group risk market, with critical illness cover reaching 840,000 lives and long-term disability income cover growing to 3.9% market penetration. The growth of that market reflects genuine demand; it also reflects real claims experience. For employers, the question is whether they are using health data proactively to understand claim drivers before they surface in insurer experience or whether they are discovering the risk at renewal.
Group insurance should function as an early warning system, not a budget line. Claims data, absence patterns, and benefit utilisation rates reveal where prevention will produce the highest financial return. Organisations that treat insurers and brokers purely as price providers forfeit that intelligence. Those who treat them as risk partners gain a fundamentally different quality of data.
What this means for Finance, HR, and Risk leadership
The consequence of treating these three cost components, namely absence, presenteeism, and insurance exposure, as separate and departmental is that no single function holds a complete view of the exposure. Finance sees payroll variance and premium cost. HR sees sickness days and referral rates. Risk sees renewal terms. Nobody is synthesising across those data streams to produce an integrated picture of workforce health risk.
That is a governance gap as much as it is a data gap. When each function optimises its own view in isolation, interventions are siloed, and the aggregate cost continues to grow. A CFO who treats workforce health as a connected financial exposure will make different decisions about investment in prevention, different demands of their HR and Risk functions, and different conversations with their insurer and broker at renewal.
Four steps towards a credible quantification framework
The first step is to build a monthly workforce health dashboard that sits alongside the management accounts. It should track absence rate, average days lost per employee, repeat absence by function, any available presenteeism indicators, and claims trends on group risk cover. The objective is a single view that Finance can read with the same fluency as any other operational metric.
The second step is to segment by function, location, and condition type. Aggregate averages mask the departments and demographics where ill-health is concentrated, which is often where cost escalation originates. A business with 500 employees and a 4% absence rate may have three functions running at 8% and several running at 1%. Those are fundamentally different risk profiles and require different responses.
The third step is to translate interventions into financial outcomes. If an occupational health referral programme reduces repeat absence by a measurable percentage, that benefit should be quantified in pounds, not just participation rates or satisfaction scores. The same logic applies to manager training on early identification, mental health support provisions, and return-to-work protocols. The language of finance disciplines the evaluation of wellbeing investment in a way that engagement metrics simply cannot.
The fourth step is to bring insurers and brokers into the risk intelligence conversation, not just the renewal conversation. Claims data and utilisation patterns are sources of analytical value that most employers do not systematically mine. That data can inform where intervention will produce the highest return before it appears as claims inflation.
The exposure is already on the balance sheet
Workforce ill-health is not a future risk. It is a present one. One already embedded in payroll costs, productivity shortfalls, and insurance liabilities. The question is not whether it affects the P&L, but whether it is being measured explicitly or absorbed implicitly as margin erosion, delivery variance, and unexplained overhead.
Organisations that build a connected quantification model that includes absence, presenteeism, and group risk exposure data will manage the cost with materially greater discipline than those that treat it as an HR programme. The tools to do this exist. The data is available. What is missing, in most organisations, is the commercial will to ask the question properly.