Key Takeaways
Most hospital finance leaders can quote their supply expense down to the basis point. Far fewer can quote what it costs them to hold that supply on a shelf for a week before it’s used. That gap is expensive.
The American Hospital Association estimates U.S. hospitals spend $25.7 billion more per year on supply chain operations than necessary. A meaningful share of that overspend is invisible on the income statement. It is locked up in inventory that sits, expires, or gets counted three times before anyone touches it. That category of spend has a name: inventory holding costs, sometimes called carrying costs.
This guide explains what holding costs actually include, how to calculate them for your facility, why they keep rising in healthcare, and the four operational levers that move the number the most. The goal isn’t to sell you on any one system. It’s to give you the math and the framework to defend a smaller, faster, cleaner inventory in your next budget review.
Holding cost is the all-in expense of keeping a unit of inventory on hand until it’s consumed. In a healthcare setting, that bundle is broader than most leaders assume. It typically includes:
Industry-standard estimates put total holding cost at 25–30% of average inventory value per year. A hospital that holds $2 million in supply inventory on average is therefore spending roughly $500,000 to $600,000 a year just to keep it on the shelf, before a single item is used clinically.
The simplest holding-cost formula is:
Consider a 400-bed acute care hospital with the following profile:
The base holding cost is:
That figure is the financial equivalent of staffing four to six full-time clinical roles, spent every year, not to deliver care, but to hold inventory. And it understates the operational drag, because the expired write-offs and the supply-chase labor are already inside the 27% bundle, but are worth examining separately to know which lever to pull first.
Two metrics make the picture sharper:
Carrying costs in hospitals have moved structurally higher over the past several years for reasons that are partly outside any single supply chain leader’s control:
The conclusion isn’t that hospitals should hold less inventory in the abstract. It’s that they should hold the right inventory, where it’s needed, with enough visibility that buffer stock isn’t doing the job that data should be doing.
The fastest reduction in carrying costs almost always comes from resetting PAR (periodic automatic replenishment) levels based on real consumption, not historical assumptions. In our experience working with health systems, approximately 20% to 40% of SKUs are overstocked relative to actual usage.
Right-sizing PARs releases working capital inside a single replenishment cycle and is the lowest-risk place to start. It also surfaces the second cohort of problem SKUs: the items that stock out under the current PAR and deserve entirely different attention.
For a deeper comparison of how PAR-managed environments perform against alternatives, see our analysis of the true cost of ownership across Kanban, cabinets, and manual PAR systems.
PAR right-sizing reduces inventory levels. Demand-driven replenishment reduces the variability around that level, which is what allows the level to stay low without causing stock-outs. The mechanism matters less than the discipline: replenishment should be triggered by actual consumption, not by a fixed schedule or by a count taken at an arbitrary point in time.
Visual systems like 2-bin Kanban are one common implementation of this principle. They enforce first-in-first-out rotation (which directly reduces expiration write-offs), eliminate manual counting labor, and shrink the buffer stock hospitals hold to compensate for bad count data. For a full walkthrough of the implementation, see BlueBin’s Hospital Kanban solution page. The point of this article is narrower: any system that ties replenishment to real demand will lower carrying costs. Pick the one that fits your environment.
Expired and obsolete products are the most visible and most preventable component of carrying costs. It’s also a leading indicator of an inventory system that isn’t moving product in the right order. Two practices materially reduce write-offs:
Hospitals that have moved away from cabinet-based systems for everyday supplies report meaningful reductions in expiration write-offs; we covered the mechanics in our article on why automated dispensing cabinets fail to deliver expected ROI for everyday supplies.
Square footage devoted to clean storage incurs direct real estate and environmental costs. More importantly, it incurs labor costs as nurses and supply chain staff walk longer distances to find what they need. Reducing on-hand inventory frees space that can either be repurposed for clinical use or right-sized away entirely.
The labor side compounds the savings. Studies of nurse time-on-task consistently find that searching for supplies is one of the largest non-clinical time sinks in the day. Every minute removed from the supply hunt is a minute returned to patient care, and a dollar removed from the carrying-cost bundle.
Once the holding-cost math is on paper, the case for change becomes a finance conversation, not a supply chain one. The four numbers that move the room:
BlueBin’s supply chain calculators can help model these inputs at the facility or system level. The exercise tends to be self-funding: even conservative assumptions for a mid-size hospital usually yield a multi-year payback measured in months, not years.
For the broader operational context in which this work sits, see our overview of healthcare supply chain solutions.
Inventory holding costs are one of the largest controllable expense categories in a hospital supply chain, and one of the least visible on a standard financial statement. The 25–30% carrying-cost rule of thumb means that every dollar of reduced average inventory throws off roughly a quarter to a third of a dollar in annual savings, indefinitely.
That math holds whether a facility chooses to address the underlying drivers through PAR discipline, demand-driven replenishment, expiration controls, footprint reduction, or some combination of all four. The first step is the same in every case: calculate the number, identify the largest cost drivers in your environment, and bring the finance team into the conversation early.