As we find ourselves at the end of the decade, many pundits are considering what sector will be most heavily influenced by the disruptive impact of technology in the 2020s. Financial services and the potential impact of FinTech is often top of mind in those discussions. As I consider the potential impact of FinTech in the coming decade, I am reminded of the Mark Twain quote that “History doesn’t repeat itself but it often rhymes.”
A historical example of technological progress that comes to mind for me is the combine, a machine designed to efficiently harvest a variety of grain crops. The combine derived its name from being able to combine a number of steps in the harvesting process. Combines were one of the most economically important innovations as they saved a tremendous amount of time and significantly reduced the amount of the population that was engaged in agriculture while still allowing a growing population to be fed adequately. For perspective, the impact on American society from the combine’s invention was tremendous as roughly half of the U.S. population was involved in agriculture in the 1850s and today that number stands at less than 1%.
As I ponder the parallels between the combine’s historical impact and FinTech’s potential, I consider that our now service based economy is dependent upon financial services, and FinTech offers the potential to radically change the landscape. From my perspective, the coming “combine” for financial services will be not from one source or solution, but from a wide range of FinTech companies and traditional financial institutions that are enhancing efficiency and lowering costs across a wide range of financial services (payments, lending, deposit gathering, wealth management, and insurance). While this can be viewed as a negative by some traditional incumbents in the space, it may be a saving grace as we start the decade with the lingering effects of a prolonged historically low and difficult interest rate environment, and many traditional players are still laden with their margin dependent revenue streams and higher cost, inefficient legacy systems. Similar to the farmers adopting higher tech planting and harvesting methods through innovations like the combine, traditional incumbents like bankers, RIAs, and insurance companies will have to determine how to selectively build, partner, or acquire FinTech talent and companies to enhance their profitability and efficiency. Private equity and venture capital investors will also continue to be attracted to the FinTech sector given its potential.
As the years in the 2020s march on, FinTech acquirers and traditional incumbents face a daunting task to evaluate the FinTech sector. Reports vary but generally indicate that over 10,000 FinTechs have sprouted up across the globe in the last decade and separating the highly valued, high potential business models (i.e, the wheat) from the lower valued, low potential ones (i.e., the chaff) will be challenging. Factor in the complicated nature of the regulatory/compliance overlay and investors, acquirers, and traditional incumbents face the daunting task of analyzing the FinTech sector and the companies within it.
As a solution to this potential problem, the efficient operations and historical lessons learned in the agricultural sector from the combine may again provide insights for buyers of FinTech companies to learn from. For example, the major professional sports leagues in the U.S. all have events called combines where they put prospective players through drills and tests to more accurately assess their potential. In these situations, the team is ultimately the buyer or investor and the player is the seller. Pro scouts are most interested in trying to project how that player might perform in the future for their team. While a player may have strong statistics in college, this may not translate to their future performance at the next level so it’s important to dig deeper and analyze more thoroughly. For the casual fan and the players themselves, it can be frustrating to see a productive college player go undrafted while less productive players go highly drafted because of their stronger performance at the combine.
While not quite as highly covered by the fans and media, a similar due diligence and analysis process should take place when acquirers examine a FinTech acquisition target. This due diligence process can be particularly important in a sector like FinTech where the historical financial statements may provide little insight into future growth and earnings potential for the underlying company. One way that acquirers are able to better assess potential targets is through a process similar to a sports combine called a quality of earnings study (QoE). In this article, we give a general overview of what a QoE is as well as some important factors to consider.
What is a Quality of Earnings Study? A QoE study typically focuses on the economic earning power of the target. A QoE combines a number of due diligence processes and findings into a single document that can be vitally helpful to a potential acquirer in order to assess the key elements of a target’s valuation: core earning power, growth potential, and risk factors. Ongoing earning power is a key component of valuation as it represents an estimate of sustainable earnings and a base from which long term growth can be expected. This estimate of earning power typically considers trying to assess the quality of the company’s historical and projected future earnings. In addition to assessing the quality of the earnings, buyers should also consider the relative riskiness of those earnings as well as potential pro-forma synergies that the target may bring in an acquisition.
Analysis performed in a QoE study can include the following:
- Profitability Procedures. Investigating historical performance for impact on prospective cash flows. EBITDA analysis can include certain types of adjustments such as: (1) Management compensation add-back; (2) Non-recurring items; (3) Pro-forma adjustments/synergies
- Customer Analysis. Investigating revenue relationships and agreements to understand the impact on prospective cash flows. Procedures include: (1) Identifying significant customer relationships; (2) Gross margin analysis; and (3) Lifing analysis
- Business and Pricing Analysis. Investigating the target entities positioning in the market and understanding the competitive advantages from a product and operations perspective. This involves: (1) Interviews with key members of management; (2) Financial analysis and benchmarking; (3) Industry analysis; (4) Fair market value assessments; and (5) Structuring
- Workforce / employee analysis
- A/R and A/P analysis
- Intangible asset analysis
- A/R aging and inventory analysis
- Location analysis
- Billing and collection policies
- Segment analysis
- Proof of cash and revenue analysis
- Margin and expense analysis
- Capital structure analysis
- Working capital analysis
- The unit economics of the target. For example, a buyer may want a more detailed estimate or analysis of the some of the target’s key performance indicators such as cost of acquiring customers (CAC), lifetime value of new customers (LTV), churn rates, magic number, and annual recurring revenue/profit.
- A commercial analysis that examines the competitive environment, go-to-market strategy, and existing customers perception for the company and its products.
Originally published in Mercer Capital's Value Focus: FinTech Industry Newsletter, Year-End 2019.
