Final answer:
To rank the financial assumptions from lowest to highest sensitivity, one should consider how each factor affects the valuation model. Revenue growth is typically the most sensitive, followed by COGS, EV/EBITDA Exit multiplier, and the Discount rate.
Step-by-step explanation:
When considering the sensitivity of various assumptions in a financial model, analysts usually focus on which variables have the highest potential to change the outcome of the model significantly.
To rank the assumptions (drivers) from lowest to highest in terms of sensitivity, think about how each driver affects the overall valuation and how fluctuation in that assumption can magnify changes in the output.
- Revenue growth +/-5%: Variability in revenue growth has a compounding effect over time, making it highly sensitive as it impacts the future revenue streams greatly.
- Revised COGS (Cost of Goods Sold) +/-5%: While important, variations in COGS will generally have a somewhat less pronounced effect compared to revenue growth due to its impact being on the cost side rather than revenue.
- EV/EBITDA Exit +/-5%: The exit multiple determines the final valuation in an exit scenario. A 5% change can be significant, especially if it's compounded by other growth metrics, but its impact will be isolated to the terminal value.
- Discount rate +/-5%: Changes in the discount rate affect the present value of all future cash flows. A small change in the discount rate can significantly alter the valuation as it affects the risk assessment and time value of money for all periods.
Therefore, in ranking these drivers from lowest to highest sensitivity, the order would be: Revised COGS, EV/EBITDA Exit, Revenue growth, and Discount rate. It's important to note that the specific context of the company and scenario could affect this ranking.