Skip to main content

Warehouse Rents Are Inflecting Again. Network Design Needs a Real-Estate Trigger.

Β· 6 min read
CXTMS Insights
Logistics Industry Analysis
Warehouse Rents Are Inflecting Again. Network Design Needs a Real-Estate Trigger.

Warehouse rents are not just a facilities expense. They are a transportation planning signal.

That matters again because the logistics real estate market is starting to turn. According to Supply Chain Dive, Prologis research found that U.S. logistics real estate rents fell 4.5% year over year in 2025. Coastal markets fell 7.6%, while inland markets fell 3%. The decline was still milder than 2024, when U.S. rents dropped 6.5%.

That sounds like relief for warehouse tenants. It may also be the end of the easy part.

Prologis said vacancy fell quarter over quarter to 7.4% in Q4 as net absorption outpaced new supply. It also pointed to limited speculative deliveries, faster lease execution, and renewed network expansion as signs of a new competition phase for space. CFO Tim Arndt said e-commerce represented approximately 20% of Prologis' new leasing activity over the past year, making 2025 its best e-commerce leasing year since 2021.

The message for shippers is straightforward: cheaper distant space may not stay cheap, and even when rent looks attractive, transportation can erase the savings.

Rent belongs in the routing conversation​

Warehouse lease decisions often sit in a different room from transportation planning. Real estate teams compare rent, lease term, facility quality, labor availability, and incentives. Transportation teams inherit the result and try to make the lanes work.

That separation is expensive.

In a low-rent environment, tenants can justify moving farther from dense consumer markets or port gateways. Prologis noted that in 2025, warehouse tenants pursued newly completed and large-format facilities with lower rental rates, often in more distant markets. Low freight rates and front-loaded inventory helped make the trade-off easier.

But that decision depends on assumptions that can change fast. If linehaul rates rise, parcel zones shift, drayage queues lengthen, labor gets tighter, or service promises shorten, the rent discount becomes less convincing. A facility that saves money on paper can create hidden cost through longer replenishment cycles, more miles, higher accessorial exposure, missed delivery windows, and less flexible carrier coverage.

Network design needs a trigger for that.

The trigger should not be a vague annual review. It should be a defined event: rent moves above or below a threshold, vacancy tightens, parcel zone exposure changes, a port routing shifts, service failures rise, labor availability deteriorates, or transportation cost per order exceeds the lease-model savings.

The math is not warehouse versus freight​

The wrong debate is rent versus transportation. The better question is how the total network behaves.

A warehouse ten miles closer to a dense customer pool may carry higher rent, but it can reduce parcel zone jumps, shorten delivery promises, improve same-day or next-day coverage, lower middle-mile miles, improve store replenishment reliability, and increase carrier density. A lower-rent site farther out may work beautifully for slower-moving inventory, bulky replenishment, overflow storage, or customers with wider delivery windows.

The answer depends on order profile.

Small parcel-heavy e-commerce networks care about zones, induction points, cutoff times, and residential density. Retail replenishment networks care about store proximity, delivery frequency, trailer utilization, backhaul opportunities, and appointment consistency. Import-heavy networks care about port distance, drayage capacity, chassis availability, rail options, and transload economics. Manufacturing networks care about supplier lead times, line-stop risk, schedules, and inbound reliability.

That is why a rent signal must connect to shipment data. Without shipment data, real estate teams can only estimate the freight impact. Without real estate signals, transportation teams may optimize a network whose underlying footprint has already moved out of balance.

Retail networks show the direction​

Retailers are already treating distribution footprint as a service and resilience lever, not just a cost center.

In a separate Supply Chain Dive report, Dollar Tree opened a 1 million-square-foot distribution center in Litchfield Park, Arizona, to improve delivery speed to stores across the West and Southwest. The facility is expected to serve about 700 stores. The retailer is also planning a Marietta, Oklahoma, distribution center for 2027 after a tornado destroyed a previous site, an event that increased transportation costs by reducing distribution capacity and adding transport miles.

That example shows the network design problem in plain language. Distribution capacity is not neutral. Where it sits affects miles, transit time, store service, cost predictability, and resilience after disruption.

Dollar Tree also said it is optimizing routes, aligning inbound and outbound flows, investing in warehouse and yard management tools, and using multi-year freight contracts covering about three-quarters of its freight volumes. Those are transportation decisions tied directly to physical network design.

Warehouse rent changes should be viewed in the same system.

What to watch in 2026​

The first signal is vacancy. A market with falling vacancy and limited speculative deliveries can move from tenant-friendly to competitive quickly. If lease execution accelerates, waiting for the perfect deal may cost more than acting early.

The second signal is e-commerce absorption. Prologis' estimate that e-commerce made up roughly 20% of new leasing activity points to faster delivery, distributed inventory, and facilities closer to demand.

The third signal is transportation cost per order, not transportation cost in aggregate. A distant facility can look efficient when measured by full-truckload movement, then underperform when parcel, LTL, store replenishment, returns, or expedited recovery are included.

The fourth signal is drayage exposure. If a facility saves rent but adds repeated port miles, chassis complications, appointment friction, or rail handoff complexity, the lease discount needs a hard second look.

The fifth signal is labor-market exposure. Lower rent in a distant market does not help if the site struggles to staff peak shifts, maintain productivity, or support automation technicians.

Build real-estate triggers into transportation planning​

Transportation teams do not need to own warehouse lease negotiations. They do need to bring lane-level evidence into the decision before the footprint changes.

A practical review should compare current and proposed facilities across drayage distance, linehaul miles, parcel zones, LTL density, carrier availability, service-time variance, returns flow, labor risk, inventory positioning, and accessorial exposure. It should model the average month, peak season, disruption recovery, port shifts, and demand growth.

That is where a TMS becomes more than a shipment execution system. It becomes the lane-cost layer that tests whether a cheaper building still pays off after freight, time, risk, and service are included.

Warehouse rents are inflecting again. The companies that treat that as a real-estate headline will react late. The companies that turn it into a network design trigger will know when to move closer, when to stay put, and when cheap space is quietly getting expensive.

CXTMS helps logistics teams connect shipment cost, carrier performance, lane history, facility flows, and exception data in one transportation operating layer. If your warehouse footprint is changing faster than your freight model, schedule a CXTMS demo to see how better lane visibility can support smarter network design.