Most commercial real estate underwriting treats net operating income (NOI) as stable, even for coastal properties where a single flood or wind event can eliminate cash flow for months, according to Albert Slap, a real estate professional and founder of RiskFootprint. Slap contends that the problem is not a lack of data but a persistent refusal to model what happens to debt service when a property sustains major damage and goes offline. Investors who fail to quantify hazard exposure before committing capital are taking on risks they cannot see.
Slap illustrates the gap between traditional underwriting and hazard-informed analysis with a straightforward scenario. A coastal commercial property generating $1.2 million in annual NOI with $900,000 in annual debt service looks serviceable on paper. However, running that same property through a 500-year coastal flood scenario using Hazus, FEMA’s publicly available engineering model, changes the picture sharply. Under that scenario, the model may show 12% structural damage, 8% contents damage, and nine months of restoration time. NOI drops by 75%, wiping out the ability to cover debt service. Adding structural and contents damage costs and factoring in uninsured losses that drain cash reserves results in a stressed debt service coverage ratio below 1.00. The borrower cannot service debt during the restoration period—a risk that traditional underwriting would not have caught.
The problem compounds in markets where insurance is tightening. Slap describes an environment where hazard frequency is rising, deductibles are increasing, exclusions are expanding, premiums are volatile, and business interruption coverage is shrinking, all simultaneously. Each variable erodes the financial cushion investors historically relied on to absorb event-driven losses.
Slap argues that quantifying hazard exposure should begin with Expected Annual Loss (EAL) calculations, a metric that translates probabilistic hazard data into annualized financial terms. Using FEMA’s National Risk Index building-specific EAL rates, investors can estimate what a given hazard costs a property on average each year. For example, a building with a $50 million replacement cost and a hurricane wind EAL rate of $444 per million dollars of value produces an estimated annual loss of roughly $112,600. Over a 10-year hold period, that figure exceeds $1 million, before accounting for contents losses, business interruption, or reputational damage to tenants. “This is ROI-ready intelligence,” Slap says. For investors evaluating coastal acquisitions, Slap contends this natural hazard risk assessment should be standard, not supplemental.
Slap draws a distinction between the sustainability framing that dominated coastal real estate conversations previously and the ROI-driven approach gaining traction now. “Every sustainability or resilience action has a cause and an effect,” he says. “The cause is the decision to invest. The effect is the benefit—reduced losses, improved continuity, lower operating costs, or enhanced market value.” That framing makes resilience investments defensible to investment committees, lenders, and partners. Investors asking whether a resilient retrofit will pay back need quantified exposure data to answer the question. Without it, Slap says, decisions default to intuition, which cannot substitute for risk modeling in a market where hazard severity is accelerating.
RiskFootprint has built a platform that aligns with the ASTM International Property Resilience Assessment Standard (E 3429-24). The standard structures hazard analysis across three stages: hazard exposure modeling, vulnerability and value-at-risk assessment, and feasible mitigation measures with cost-benefit analysis. According to RiskFootprint’s internal documentation, the platform covers more than 34 hazard exposure types for every U.S. property and incorporates multiple flood models, including Swiss Re/Fathom pluvial, fluvial, and coastal data, FEMA FIRM maps, NOAA SLOSH storm surge, and NOAA/NASA King Tide projections. “If the comparison yields a positive number, then the Benefit/Cost owner/investor will have a reasonable basis to investigate the investment in risk mitigation measures in greater detail,” Slap says of the cost-benefit stage. The platform’s integration of first-floor elevation estimates for more than 300 million buildings allows investors to move from exposure identification to financial impact modeling without commissioning custom engineering studies.
For coastal CRE investors, the practical consequence is that hazard-driven financial stress testing is now available as an automated input rather than a custom consulting engagement. Slap says pressure from lenders and secondary markets to require this type of analysis is already building.
