Thursday, February 26, 2026
On Tap Today
Earnings star: Starwood Property Trust’s 2025 earnings show strong profits and record capital deployment, even as revenue lagged expectations.
More saving, less doing: Shares of homebuilders and housing-linked retailers fell after Lowe’s and Home Depot warned of slowing demand.
BYOP: Federal officials are pressing major tech companies to absorb the energy costs of AI data centers amid rising electricity prices.
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Editor’s Pick
Starwood Property Trust announced its earnings yesterday. The company generated roughly $160 million in distributable earnings in Q4 and about $616 million for the full year. It deployed approximately $12.7 billion of capital in 2025, one of the most active years in its history, and ended the year with around $30.7 billion in undepreciated assets.
As good as the profit might be, the revenue tells a more nuanced story. Fourth-quarter revenue came in near $335 million, lighter than many expected. The gap between top-line revenue and distributable earnings suggests that portfolio composition, repayments, and fee income are doing some of the work. In other words, profitability is holding up, but organic growth is not running ahead of the cycle. That distinction matters in a market that is increasingly sensitive to how income is generated, not just whether it clears the dividend hurdle.
Management framed the year around discipline and liquidity. On the earnings call, executives emphasized what they described as a “fortress balance sheet.” They highlighted strong origination activity in multifamily and industrial lending while reiterating caution around office exposure. The message was that capital is available, but it is flowing to sectors with durable cash flow and clear demand drivers.
The $12.7 billion deployment figure is the quiet headline. At a time when regional banks are shrinking balance sheets and CMBS issuance remains uneven, Starwood is still writing loans at scale. That suggests two things. First, there is borrower demand for well-capitalized lenders that can move quickly and hold risk. Second, spreads and structures are attractive enough to justify putting capital to work despite rate uncertainty. The firm’s diversified model, which spans commercial mortgages, infrastructure lending, net lease assets, and special servicing, provides multiple levers for revenue generation even if one segment cools.
The next few quarters will test whether revenue growth begins to catch up with deployment and whether credit performance holds steady as maturities stack up across commercial real estate. For now, Starwood looks less like a company in retreat and more like one positioning itself to be a primary lender in a thinner field.
Overheard

Housing-related equities, including homebuilders and residential REITS, sold off sharply after downbeat commentary from Lowe’s and Home Depot on their earnings calls. Both companies signaled that demand for home improvement is slowing, with customers pulling back on big-ticket projects and goods that are closely linked to housing turnover, renovations, and remodeling activity. The stock reactions reflect broader investor anxiety that the U.S. housing cycle may be losing steam more quickly than expected and that consumer spending tied to housing isn’t as resilient as it appeared just a few months ago.
Lowe’s and Home Depot are often viewed as barometers for housing health because their sales mix is heavily skewed toward discretionary spending on existing homes. When consumers are confident and equity in their homes is rising, those categories tend to outperform. If buyers are tightening their wallets in the face of higher mortgage costs or if fewer homes are changing hands, those revenues can stagnate or slip. The recent commentary pointed to both softer consumer traffic and cautious buyers, which markets interpreted as a sign that demand tied to existing housing activity could be dropping off.
The negative sentament raise a bigger question about what comes next. Homebuilders have already been navigating slow construction starts, elevated input costs, and a backlog of unsold homes in some regions. Weakness in renovation and improvement spending adds another headwind. If homeowners defer maintenance and upgrades, it could also put pressure on related sectors such as building materials, specialty contractors, and even multifamily renovations. What began as cautious remarks from two retailers has rippled into a broader narrative that housing demand and spending patterns may be more fragile than forward indicators suggested, and that fragility could ripple through property markets in 2026.

The rapid expansion of AI data centers is colliding with energy policy in a new way. The Trump administration is pressing major technology companies to take greater responsibility for the electricity demands of their AI facilities, arguing that surging data center consumption is contributing to higher power costs for households. The White House is reportedly seeking commitments that large operators will shoulder more of the infrastructure and generation costs tied to their projects, rather than relying on local grids in ways that shift expenses onto ratepayers.
The possible legislation is meant as a response to the dramatic rise in projected electricity demand. AI workloads require enormous computing power, and hyperscale data centers are being built at a pace that utilities in several regions are struggling to accommodate. In major data center hubs, utilities are planning billions of dollars in grid upgrades and new generation to meet anticipated load growth. Those capital expenditures ultimately flow through rate structures and give rise to concerns that residential customers are indirectly subsidizing the AI boom. The administration’s push appears designed to ensure that new large-load facilities “bring their own power” or directly finance the infrastructure required to serve them.
Data centers have been one of the strongest-performing property types in recent years, fueled by AI-driven demand. But if policymakers tighten rules around grid interconnection, cost allocation or dedicated generation requirements, the economics of site selection could shift. Projects may cluster even more tightly in regions with surplus power or favorable regulatory regimes. At the same time, utilities and developers may increasingly structure bespoke power purchase agreements or on-site generation solutions to insulate projects from political risk. As AI’s footprint grows, the intersection of energy pricing, land use, and federal policy will become a defining constraint for the next phase of data center development.
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Propmodo Daily is written and edited by Franco Faraudo with contributions from readers like you and the Propmodo team.
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