Multi-Unit Franchisee Magazine Issue IV, 2011 | Page 78

FranchiseMarketUpdate By Darrell Johnson Improve Your Financing Chances Adapting to bankers’ evolving loan policies L enders establish frameworks for various types of lending: housing, personal, small business, and more. Those frameworks are called lending policies and define the rules and procedures for conducting a lending program. They form the basis a credit committee uses to make loan structuring, pricing, and individual loan application decisions, and that a credit risk committee uses to make portfolio allocation decisions (how much of the bank’s assets should be allocated to small business, to franchised small businesses, and to particular franchise systems). The competition for credit cycle small business are facing is pushing lenders toward consideration of tighter (and in some cases different) lending policies. This tightening generally is around the five C’s of credit—character, capital, capacity, conditions, and collateral—leading to requirements such as higher credit scores, more equity contributions and cash reserves, and so forth. However, we’re also seeing some different lending policies evolving for franchising, which are emanating from a basic understanding of franchise credit risk: There is a strong correlation between 1) the likelihood that any franchise loan will be repaid as expected, and 2) the credit risk history of the associated franchise system. Historically, lenders tried to use the FDD for such purposes. The down economy exposed the many shortcomings of a document designed for entirely different purposes; it simply doesn’t address credit risks. The other rudimentary holdover risk tool from the easy credit years is the frequent use of SBA franchise statistics, which most banks know are not very accurate. There is a rapidly evolving solution. We are seeing the development of franchise system measures that more accurately reflect credit risk, and which are beginning to be used effectively to improve lender credit decisions: more detailed unit performance data than in an Item 19; franchise system performance metrics associated with credit risk; and franchisor performance attributes evaluated in banking terms. Based on all the franchise credit risk work we do and the feedback we get from lenders, here’s what I believe a typical bank credit policy on franchise loans will look like: 1) Small-business policy for franchise lending: system performance correlates with loan success. The performance history of a franchise system provides a) a good basis for predicting lending outcomes of lending, and b) guidance in structuring a loan. In addition, the following should be considered. 2) Franchise unit performance: system data on unit economics drives loan structuring. Good unit performance data provides the foundation for a loan structure appropriate f