Commercial real estate investors have long assumed that net operating income remains stable even after natural disasters, but that assumption is becoming indefensible as hazard frequency rises and insurance markets tighten. Albert Slap, a real estate professional and founder of RiskFootprint, 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.
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 net operating income (NOI) with $900,000 in annual debt service appears serviceable on paper. However, running that property through a 500-year coastal flood scenario using Hazus, FEMA’s publicly available engineering model, reveals a sharply different picture. 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. After factoring in structural and contents damage costs and uninsured losses that drain cash reserves, the stressed debt service coverage ratio falls below 1.00. Traditional underwriting would not have caught this vulnerability.
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. The question is not whether a property will face a hazard event but how much that event is likely to cost and whether the investment thesis survives it. Slap draws a distinction between the sustainability framing that dominated coastal real estate conversations previously and the ROI-driven approach he sees 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.”
RiskFootprint has built a platform that aligns with the ASTM International Property Resilience Assessment Standard (E 3429-24). That 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.
