Costing Deep Dive · 원가 심화

Costing Storage
What one pallet, one day is actually worth

Storage is the simplest-looking line on a warehouse invoice. So many pallets, so many days, times a rate. Clear enough that you don't need a calculator.

And on the cost side it's the line that's wrong most often. One question exposes it immediately. What does it cost us to hold one pallet for one day?

If the answer starts with "take the center's rent, divide by pallet count, roughly…" then the number that follows is almost certainly at least 20% too low. And an understated storage cost is quiet. It doesn't spike on payroll every month the way labor does — it hides inside a fixed rent line and rides along for years.

In "Understanding Standard Costing in Logistics" we set out the frame of standard quantity × standard rate. This piece applies that frame to the hardest cost pool in a warehouse: storage.

Storage cost is a different kind of cost

You cannot treat storage the way you treat picking and packing. The characteristics are close to opposite.

Handling cost (pick, pack)Storage cost
Cost driverThroughput (orders, lines, boxes)Occupancy × time
Cost behaviorMostly variableAlmost entirely fixed
UnitMinutesPallet-days
When it's controlledDailyAt lease and layout
If volume dropsCost drops tooCost doesn't move

That last row is the whole story. You can stop spending on picking labor when there are no orders, but cut inventory in half and rent doesn't fall by a single won. The lease already bought that floor area.

So the real object of management in storage isn't the rate — it's occupancy. Put in standard costing terms, storage is the cost pool that volume variance dominates.

And a time dimension comes attached. Handling cost stops accruing when the work is done; storage cost keeps accruing for as long as the inventory sits there. It's the only cost in the warehouse that piles up while nobody does anything at all.

Get the denominator wrong and everything after it is wrong

Storage costing fails at the denominator almost every time, not the numerator. Assembling the cost pool only takes accounting records. "How many positions do we actually have?" is far slipperier.

Three stages have to be kept apart.

StageDefinitionCommon misreading
① Gross areaContracted gross floor areaDividing by this drops cost across the board
② Net storage areaGross − aisles, dock, work areas, officeCounting aisles as storage area
③ Effective operating positionsTotal positions in ② × target occupancySetting target occupancy to 100%

What comes out at ② is larger than people expect. Subtract aisles, the dock, outbound staging, inspection, packing, and office and welfare space, and it's common for only about half the gross area to remain. Selective racking buys direct access to every pallet at the price of a lot of aisle.

③ matters more. No warehouse fills 100% of its positions. You need slack for turnover, client and category segregation, SKUs on fixed locations, and cross-dock staging. The target occupancy used as a design basis in practice is around 85%.

Industry benchmarks make the picture starker. Cube utilization runs 20–25% in a traditional warehouse, 35–45% with an optimized layout, and only reaches 50–60% with automation. Selective racking in a very narrow aisle (VNA) configuration still lands in the 22–27% band.

Why the number is that low — cube utilization puts the entire building volume in the denominator. Aisles, the gap between rack top and roof, sprinkler clearance, and the empty space above product on a pallet all go in. So 25% isn't evidence of incompetence — it's close to the physical ceiling of a selective-rack layout. The way to raise it isn't tidying up; it's changing the storage method itself.

Let's run the numbers — pallet-day standard cost

You need figures to get a feel for it. Let's build one for an ambient center in the Seoul metro area.

The cost pool first. Gather the monthly fixed costs attributable to storage.

ItemMonthly
Rent (10,000㎡ ≈ 3,025 pyeong × 35,858 KRW)108,500,000 KRW
Common area charges15,000,000 KRW
Power, heating and cooling12,000,000 KRW
Racking and equipment depreciation8,000,000 KRW
Insurance and other4,500,000 KRW
Total monthly storage fixed cost148,000,000 KRW

Rent uses the ambient nominal rate of 35,858 KRW per 3.3㎡ from Newmark Korea's first-half 2026 survey of 200 prime logistics centers in the Seoul metro area.

The denominator. Strip non-storage area out of the 10,000㎡ gross.

ZoneArea
Gross floor area10,000㎡
− Dock, outbound staging, inspection1,500㎡
− Aisles (main + working)2,600㎡
− Packing and value-added area500㎡
− Office, welfare, plant rooms400㎡
Net storage area5,000㎡ (50%)
Selective racking, 4 levels → total pallet positions6,000 positions
× target occupancy 85%5,100 positions

Now divide. Except that the answer comes out three different ways depending on the denominator.

DenominatorCost per pallet-monthPer pallet-dayWhat the number assumes
Total positions 6,00024,667 KRW822 KRWAlways 100% full — impossible
Target occupancy 5,10029,020 KRW967 KRWFills to design at peak — the standard cost
Average occupancy 3,80038,947 KRW1,298 KRWWhat actually gets billed — the recovery basis

The gap between the first and second rows is 17.6%. Simply omitting target occupancy understates your storage standard cost by nearly a fifth. And that error carries straight through into contract pricing.

The third row is a different story — and it's where this article is going.

You build for peak and bill at average

A warehouse leases against how full it gets at its fullest. You can't leave freight standing outside when peak inventory arrives. But billing goes out against what's actually occupied. That those two bases differ is the structural problem of storage P&L.

Continue the example. The center is designed for 5,100 positions of target occupancy, but average actual occupancy over the year is 3,800. At 25,000 KRW per pallet-month:

ItemCalculationAmount
Storage revenue3,800 positions × 25,000 KRW95,000,000 KRW
Storage fixed costindependent of occupancy148,000,000 KRW
Storage P&L−53,000,000 KRW

53 million won a month in the red. And 25,000 KRW per pallet is by no means a cheap rate in this market. The problem isn't the rate — it's that 1,300 positions are empty.

Translate that into standard costing language and it is precisely volume variance. Apply the 29,020 KRW rate (target-occupancy basis) to the actual 3,800 and you absorb 110.28 million won, leaving 37.72 million won of unabsorbed fixed cost.

In storage, the money leaks out of the positions you didn't fill, not the ones you did.

A practical judgment forks here. You must not use the same number for your standard cost and your pricing floor.

You need both numbers to hold a real conversation. "Our cost is 29,020, so we'll sell at 32,000" is a calculation that hasn't noticed 37.72 million won of unabsorbed fixed cost every month.

Measure the peak ratio first — peak occupancy ÷ average occupancy sizes this problem immediately. The example above is 5,100 ÷ 3,800 = 1.34. Once that ratio passes 1.5, the design decision to absorb the entire peak in your own building deserves a second look. The standard move is to lay the cost of pushing overflow outside (roughly CAD 2–3 per pallet per day in North America) next to the cost of holding empty positions all year. Carrying peak inside your own building is not always the cheap option.

Choosing a billing unit is choosing whose interest to serve

How you count storage looks like a technical question. It is actually a decision about who pays for empty space.

UnitBilling basisEmpty space borne byWhere it distorts
Pallet-dayPallets occupied × daysWarehouseA half-full pallet still counts as one
Location-dayLocations assigned × daysShipperBilling continues after partial pick
Cubic-dayMeasured volume × daysWarehouseAll wasted space around irregular freight
Area per month (dedicated)Contracted areaShipperDetached from usage — predictable, no efficiency incentive
Month-end snapshotClosing inventoryWarehouseStock that came and went mid-month is effectively free

That last row is the dangerous one. Month-end billing is widely used because it's easy to compute — and inventory that arrived at the start of the month and shipped just before month-end used the space all month and bills at zero. The faster a shipper turns, the better they do under it, and the warehouse mistakes them for a premium customer.

Cubic-foot billing is misunderstood too. Charging by volume looks fair, but actual cube utilization on a pallet sits around 70–75% on average because of product shape and partially picked stock. Bill by cubic volume and the warehouse eats the cost of that remaining 25–30%.

On top of it sits honeycombing. Under a rule of one SKU per location, a partially picked pallet leaves a position that can't accept another SKU because of the remainder. You get space that is physically occupied and functionally empty. Location-day billing passes that cost to the shipper; pallet-day and cubic billing leave it with the warehouse.

There's no single right answer. But you do have to know which way your billing unit pushes the cost of empty space. Pick a cheaper unit than your competitors without knowing, and you aren't selling cheap — you're buying someone else's inefficiency.

The only cost that accrues while nobody does anything

Storage has a property no other cost pool has: it grows purely because time passes.

Which makes inventory turnover the central variable in storage P&L. Take the same 100 pallets: a shipper turning them four times a month and one turning them 0.3 times generate completely different costs. The first is heavy on handling cost and light on storage. The second is the reverse — almost no work, and the positions held all year.

The problem is that billing structures often don't reflect this. Handling fees scale automatically with turns because they're per transaction, but storage fees that only count pallets are the same whether turns are four or zero. No premium attaches to inventory that eats a position and an opportunity cost with it.

The industry is solving this with long-term storage fees, and adoption is moving fast. In a U.S. warehousing and fulfillment survey, the share of warehouses charging long-term storage fees doubled from 23.3% to 48.6% in a single year, and the average monthly minimum charge rose from $337.50 to $517. In 2026 3PL rate guides, surcharges on inventory that hasn't moved in 90 days or more have settled in as standard practice.

What a monthly minimum actually does — a storage minimum (commonly in the 50,000–100,000 KRW range domestically) isn't just a floor. It's the device that recovers the location-occupancy cost of small, slow inventory. A shipper with two pallets needs location assignment, cycle counts, a system account, and a settlement statement — none of which cost much less than for a 100-pallet shipper. Without a minimum, that fixed handling overhead lands entirely on the warehouse.

What's moving storage cost in 2026

① The rent-decline phase is over.

The largest item in storage cost is rent, and its direction has changed. CBRE put U.S. industrial vacancy at 6.7% in Q1 2026 and reported rent growth returning for the first time since 2024 (asking rent $11.08 per sq ft). JLL logged 7.5% vacancy and $10.34 asking (+0.8% YoY) for the same quarter, with leasing activity up 14% year over year, putting 2026 on track for record volume. Worth reading alongside that: big-box is what's driving vacancy up, while small-bay product stays tight.

② In Korea, ambient and cold have become different markets.

Newmark Korea's first-half 2026 survey of 200 prime logistics centers of 33,000㎡ or more in the Seoul metro area found vacancy at about 15% for ambient and about 37% for cold. Nominal rent per 3.3㎡ ran 35,858 KRW ambient against about 61,000 KRW cold. Cold storage sits in a structural supply-demand imbalance with nearly four in ten facilities empty, and pressure to convert cold space to ambient has emerged.

There's a trap here that lands directly on standard costing. Do not build a cold-storage standard cost on nominal rent. In a cold market this vacant, rent-free periods and leasing incentives have expanded, which is narrowing the gap between effective and nominal rent. Build the cost pool on an effective monthly rent that amortizes the rent-free period across the full lease term, not the headline number in the contract. Skip that correction and your cold storage cost comes out higher than reality — and you walk away from quotes you could have won.

③ The supply cliff sets your negotiation timing.

The same survey estimated new supply fell more than 50% from the 2023 peak through 2025, and first-half 2026 new supply came in at roughly 33% of the prior-year level. Today's market favors tenants, but that window has a visible expiry. The space that's spare today won't be spare in 2027. When and for how long you lock a lease — which determines 60–70% of storage cost — is the most expensive decision on the table right now.

④ Density changes the unit cost.

The structural way to lower storage unit cost is density, not rate negotiation. Traditional racking runs 40–60% storage density against 80–90% for automated systems (AS/RS). Shuttle configurations eliminate aisles and fit 10,000 pallets into the space where selective racking holds 7,500. Up-front capital runs 30–50% above forklifts plus selective racking, but per pallet position stored, the advantage flips. Payback in 2026 typically lands at 3–5 years.

The arithmetic above still applies, though. Raising density raises the fixed-cost share, so automating while occupancy is low only enlarges the volume variance. The precondition for automation isn't volume — it's stable occupancy.

⑤ Storage contracts are shifting from renting space to a turnover-conditional service.

The spread of long-term storage fees (23.3% → 48.6%), rising minimums ($337.50 → $517), and the standardization of the 90-day no-movement threshold all point one way. Warehouses no longer sell space — they sell space on the assumption of turnover. Don't rework your own rate card to match and slow-moving inventory quietly migrates toward you. That isn't revenue; it's occupancy.

What you can do in the first month

Storage standard costs go up far faster than handling standard costs. No time studies are needed, and most of it computes from data you already have.

  1. Assemble the cost pool. Rent, common charges, utilities, rack depreciation, insurance. If there's a rent-free period, amortize it across the lease term into an effective rent.
  2. Measure and subtract area. Take aisles, dock, work areas, and office off the drawings to get net storage area. If the drawings are old, measuring comes first.
  3. Document total positions and target occupancy. Target occupancy is a design premise, not a negotiating position. Start at 85% and adjust only with evidence.
  4. Compute two rates separately. The standard cost on target occupancy and the recovery rate on average occupancy. Write both down side by side.
  5. Measure the peak ratio and pull volume variance monthly. If peak ÷ average exceeds 1.5, compare outsourced overflow against holding the space yourself.
  6. Check which way your billing unit pushes the cost of empty space. If you bill on a month-end snapshot, recompute on pallet-days and look at the difference.

Number six pays off immediately. Centers billing on month-end snapshots that recompute on pallet-days frequently uncover storage revenue they'd been missing on fast-turning shippers. You don't have to change the contract — the negotiating case comes out of that calculation.

One precondition. Location-level occupancy history has to land in the ledger. Without a dated record of which shipper's what sat in which location, pallet-days can't be computed and month-end snapshots become the only method available. Your menu of billing options is ultimately set by how fine-grained your ledger is.

Storage isn't selling space

Treat storage fees as reselling leased floor area and the math gets easy while the P&L stops adding up. A landlord collects rent on 100% of the contracted area. A warehouse is selling space it can never fill completely, and eating the cost of the part it can't fill.

So the substance of storage costing isn't the division — it's honesty about the denominator. Divide by total positions and the cost comes out attractive, the quote sails through, and two years later that contract renews with nobody understanding why there's nothing left in it.

A warehouse that priced storage by dividing across total positions set its rate against a full house that doesn't exist.

Docktre counts storage as occupancy × time

Location-level occupancy history lands in the ledger, so pallet-day actuals and billing evidence come out of the same data. If you'd like to see it in your operation, get in touch.

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