Private lenders offering Bridge loans rely heavily on As-Is and After-Repair value (ARV) of a property and face a mix of valuation, operational, and risk-management challenges. These issues are different from traditional agency lending because speed, renovation assumptions, and borrower execution risk play a much larger role. You aren’t just underwriting based on a property value and borrower risk; but you are betting on a future expectation which adds more complexities.
Bridge loans are short-term gap fillers that rely entirely on a solid exit strategy. Whether that exit is a fix-and-flip sale or a refinance, it all hinges on one critical number: the After Repair Value.
The Pain Points: “Renovation Valuation Complexity”
Common challenges in deriving and documenting ARV are:
- Limited Data Insights: MLS data does not flag flipped properties and appraisers need to perform manual research to find them
- Comparable Research: Finding “renovated” comparable sales or comparable sales that are similar to the renovated subject property
- Inconsistent ARV methodologies: assumptions of the post-renovation condition and quality of construction.
- Documentation Gaps: Lack of standards and software facilities to document two distinct valuation models – As-Is and After-Repair, with distinct supporting information.
You need a workflow that bridges the gap between the property of today and the profit of tomorrow – data, insights, and valuation workflow that can support an appraiser’s natural ARV derivation process.
The Solution: Structured Intelligence for ARV
At PropMix, we’ve built the platform that powers bridge loan related valuation models with comprehensive research facilities.