How Colocation Data Center Financing Works in Columbus
Columbus has quietly become one of the most active data center markets in the country, and the colocation segment sits at the center of that story. The metro's combination of affordable power, favorable Ohio tax policy under HB 9, and its position along Tier 1 fiber corridors connecting Chicago to the Northeast has attracted hyperscale commitments from Amazon Web Services, Google, and Microsoft at a scale that has fundamentally repositioned Columbus as a primary market rather than an emerging one. For colocation operators, that hyperscale activity creates a rising tide: enterprise tenants, managed service providers, and content delivery networks follow hyperscale infrastructure, and multi-tenant colocation facilities that can capture that demand are presenting compelling credit stories to lenders.
Colocation financing in Columbus is underwritten differently than standard commercial real estate. Lenders are not simply evaluating square footage and comparable rents. They are stress-testing power capacity, redundancy classifications, tenant diversification across retail and wholesale agreements, and the operator's ability to manage a technically complex asset through lease rollovers. Facilities in Columbus range from Tier II edge assets in submarkets like Gahanna and Westerville to institutional-grade Tier III and Tier IV campuses concentrated in New Albany, Dublin, and the Obetz and Plain City corridors where land availability, power infrastructure, and fiber access converge most favorably for ground-up development and campus expansion.
The financing market for Columbus colocation has matured in parallel with the physical market. Stabilized facilities with diversified tenant rosters and institutional-quality operators are attracting multiple term sheet executions from life insurance companies and debt funds that have built dedicated data center verticals. Ground-up colocation development, which remains active given the demand pipeline, is being financed through specialty debt funds and select construction lenders with technical underwriting capacity. The key distinction for sponsors entering this market is understanding that lender selection is as important as loan structure, because not all capital sources have the operational fluency to underwrite colocation collateral with confidence.
Lender Appetite and Capital Stack for Columbus Colocation Data Centers
Life insurance companies with dedicated data center specialty desks are the most competitive permanent capital source for stabilized colocation in Columbus, particularly where the operator carries institutional credit and the tenant base includes investment-grade enterprise companies or government agencies. These lenders are pricing in the range of 175 to 250 basis points over the 10-year Treasury, which with a 10-year Treasury around 4.3 percent in 2026 translates to all-in rates in the mid-to-high six percent range for the strongest deals. LTV at life company executes typically runs 55 to 65 percent on stabilized assets, with amortization schedules of 25 to 30 years and prepayment structured as yield maintenance, which is an important consideration for sponsors modeling future refinance or exit scenarios.
Debt funds are equally active in Columbus and often more flexible on structure, particularly for lease-up situations or facilities where one or two anchor tenants represent a concentration that life companies find uncomfortable. Debt fund pricing runs wider, generally SOFR plus 250 to 350 basis points or higher depending on the risk profile, and with SOFR near 3.6 percent that puts floating rate construction and bridge capital in the seven to eight percent range before fees. For ground-up colocation development, specialty data center debt funds are the dominant construction lender, with LTV up to 60 to 75 percent on appraised stabilized value and close attention paid to pre-leasing commitments and power delivery timelines.
CMBS has been used selectively for Columbus colocation, most effectively on single-tenant net-leased structures with a creditworthy operator providing a master lease. Spread over Treasuries in the CMBS market runs wider than life company execution, typically 200 to 300 basis points over, and lenders in that channel generally underwrite to 65 to 70 percent LTV. Regional banks including Huntington National Bank and Fifth Third Bank are competitive on smaller colocation and edge computing deals, particularly for Columbus-based sponsors with existing banking relationships, but their appetite narrows considerably above $50 million in loan exposure on data center collateral.
Underwriting Criteria That Matter in Columbus
Lenders underwriting colocation assets in Columbus are focused on four core areas: operator credit and track record, tenant diversification, power capacity and delivery certainty, and market supply-demand positioning. On the operator side, lenders differentiate sharply between institutional operators like Equinix, Digital Realty, or CyrusOne and regional independent operators. Regional operators can access financing, but they face more intense scrutiny around management depth, lease-up history, and their ability to compete for tenants against the branded operators that anchor this market.
Tenant diversification matters as much as occupancy. A facility at 95 percent occupancy with two tenants representing 80 percent of revenue will underwrite to more conservative terms than one with a deep roster of enterprise, government, and cloud tenants spread across retail and wholesale colocation agreements. Lenders want to see weighted average lease terms that reflect the 3 to 10 year retail colo and 5 to 15 year wholesale agreement norms, with staggered expirations that reduce rollover concentration in any single year.
Power availability is the underwriting variable that is genuinely market-specific in Columbus right now. The volume of hyperscale and data center development in the pipeline has created real questions about power delivery timelines from AEP Ohio and other utility providers. Lenders are requiring confirmed power commitments, not just applications, before advancing construction capital, and stabilized refinance lenders want documentation that planned capacity expansions are fully permitted and utility-supported. Sponsors who have locked in power agreements are in a materially better position than those carrying speculative expansion assumptions.
Typical Deal Profile and Timeline
A representative Columbus colocation financing in the current market involves a stabilized Tier III facility in New Albany or Dublin ranging from $30 million to $150 million in loan proceeds, sponsored by an experienced data center operator with a track record of at least one similar asset under management. Lenders expect the sponsor to carry meaningful equity in the deal, typically 35 to 45 percent of total capitalization, and want to see a tenant roster that includes at least five to seven distinct tenants with no single tenant exceeding 30 to 35 percent of total revenues. Ground-up development deals in Columbus are trending larger, with loan requests frequently in the $75 million to $250 million range given campus-scale development costs.
Timeline from signed LOI to closing runs 60 to 90 days for life company and CMBS executions on stabilized assets where the operator and tenant documentation is organized. Construction loan closings on ground-up development typically take 90 to 120 days given the additional technical due diligence, third-party engineering reviews, and utility coordination requirements that data center lenders require before funding. Sponsors who engage their capital markets advisor before going to market and prepare a technical data room in advance compress that timeline meaningfully.
Common Execution Pitfalls Specific to Columbus
Power delivery uncertainty is the single most common deal-stopper in Columbus colocation financing right now. Sponsors who have purchased sites and begun permitting without a confirmed utility interconnection agreement routinely encounter lenders who will not issue a term sheet until that commitment is in writing. AEP Ohio's queue is deep, and lenders have seen enough delayed projects that speculative power assumptions are simply not underwritable in this environment.
Ohio's HB 9 data center equipment tax abatement is a significant economic driver for Columbus facilities, but sponsors sometimes underestimate the compliance documentation lenders require to credit that benefit in underwriting. Failure to properly structure and document the abatement can cause lenders to haircut or exclude the benefit entirely, reducing projected NOI and consequently loan proceeds at closing.
Tenant concentration risk is frequently underestimated by first-time colocation sponsors. A facility anchored by a single hyperscale tenant under a wholesale agreement can look like a strong credit story, but most life companies and CMBS lenders will apply much more conservative underwriting to that structure than to a diversified retail colo book. Sponsors should model their capital stack assumptions against a lender that discounts single-tenant concentration before going to market.
Finally, regional operators competing against Equinix or Digital Realty in Columbus sometimes overestimate lender comfort with their credit profile. Columbus is a market where institutional operators are well represented, and lenders who are active here have benchmarks for what institutional looks like. Sponsors without a clear differentiation story on operator quality, technical capabilities, and lease-up track record should expect more conservative terms and a smaller universe of interested lenders.
If you have a Columbus colocation data center deal under contract or in predevelopment, CLS CRE works with life insurance companies, debt funds, CMBS lenders, and specialty data center capital sources with active programs in this market. Contact Trevor Damyan to discuss your capital stack and review execution options against our national data center financing track record. The full CLS CRE data center financing program guide is available to provide additional context on lender criteria and deal structuring across property types and markets.