Commercial real estate investors have long assumed that net operating income remains stable even for coastal properties vulnerable to floods and hurricanes, but that assumption is now indefensible, according to Albert Slap, founder of RiskFootprint. Slap argues that a persistent refusal to model what happens to debt service when a property sustains major damage and goes offline leaves investors exposed to risks they cannot see.
Using a straightforward scenario, Slap illustrates the gap between traditional underwriting and hazard-informed analysis. A coastal commercial property generating $1.2 million in annual 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, changes the picture sharply. 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, the stressed debt service coverage ratio drops below 1.00, meaning the borrower cannot service debt during the restoration period. Traditional underwriting would not have caught this.
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 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. Slap calls this "ROI-ready intelligence."
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 previous sustainability framing and an ROI-driven approach. "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 who integrate hazard modeling into acquisition underwriting will identify impaired assets before purchase, price risk more accurately, and make capital improvement decisions with a clearer cost-benefit basis, according to Slap. Those who do not will continue to discover hazard-driven losses after the fact.
RiskFootprint has built a platform that aligns with the ASTM International Property Resilience Assessment Standard (E 3429-24), structuring hazard analysis across three stages: hazard exposure modeling, vulnerability and value-at-risk assessment, and feasible mitigation measures with cost-benefit analysis. 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. Its 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. Slap says pressure from lenders and secondary markets to require this type of analysis is already building.
