Describe the cross-check between the Gordon growth and exit multiple methods. Why is this considered a critical step rather than an optional nicety?
How this comes up in interviews
What the interviewer is actually testing
Terminal value is one of the highest-yield technical topics because it's where DCF theory meets real judgment, and interviewers use it to separate candidates who plug a formula from those who understand why the formula is dangerous.
The core signals of mastery:
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You state, unprompted, that terminal value is usually 60-80% of total DCF value. This single fact reframes the whole conversation: most of a DCF's answer comes from the part you can least confidently forecast.
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You can write both formulas cold: Gordon growth (FCF(n+1) / (WACC − g)) and exit multiple (EBITDA(n) × multiple), and explain the economic story behind each, not just recite them.
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You anchor g to GDP growth, and can explain why mathematically (WACC > g is required, or the perpetuity diverges) and economically (no company outgrows the whole economy forever).
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You volunteer the cross-check between methods before being asked. This is the single highest-signal move on this topic: "I'd compute the Gordon growth TV and check what exit multiple it implies against where the comps actually trade."
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You know the practical convention: exit multiples are more common in real banking work because they're market-grounded and intuitive to clients, while Gordon growth is theoretically cleaner, and a strong candidate can argue either side depending on context (cyclical business, stable comps, academic vs. pitch-book use).
Weak candidates can state the formulas but freeze when asked to defend a specific g or multiple, or don't realize the two methods should reconcile with each other.
Common mistakes
Common traps
Trap 1: Using a growth rate above long-run GDP. Plugging in the company's explicit-period growth rate (say 8%) as the perpetuity g wildly overstates terminal value and is economically impossible over an infinite horizon.
Say it out loud: "Perpetuity growth has to be a long-run sustainable rate, generally close to nominal GDP growth (2 to 4 percent) because no company can outgrow the entire economy forever."
Trap 2: Building a WACC-vs-g cell where g ≥ WACC. This produces a negative or infinite terminal value, which is a red flag the candidate doesn't understand the perpetuity math.
Say it out loud: "WACC has to exceed g or the growing perpetuity formula diverges to infinity: that's a hard constraint, not just a modeling convention."
Trap 3: Never cross-checking the two methods against each other. Presenting a Gordon growth terminal value without checking what exit multiple it implies (or vice versa) misses the single most important sanity check in DCF work.
Say it out loud: "Whichever method I lead with, I'd back into what it implies under the other method and compare that to where peers actually trade: if my perpetuity growth assumption implies a 15x exit multiple against a 9x comp set, my assumptions aren't internally consistent."
Trap 4: Using the current, high trading multiple as the exit multiple without adjustment. If the peer set currently trades at an inflated multiple (bubble conditions, a temporary re-rating), extending that multiple 5-10 years out assumes today's sentiment persists indefinitely.
Say it out loud: "I'd sanity-check whether today's trading multiple reflects a temporary premium or a sustainable level: if the sector is trading rich relative to history, I might use a more normalized, slightly lower exit multiple."
Trap 5: Forgetting to discount the terminal value back to present. Terminal value is computed as of year n; failing to discount it back n years overstates enterprise value enormously (often by 40%+).
Say it out loud: "Terminal value is a year-n figure: I still need to discount it back to today at the same WACC and same number of periods as any other year-n cash flow."
Trap 6: Applying the exit multiple to the wrong metric or a distorted terminal-year figure. Using a cyclically peaked or one-time-inflated terminal-year EBITDA overstates the terminal value regardless of which multiple is chosen.
Say it out loud: "I'd make sure the terminal-year EBITDA is a normalized, representative figure (not an artificially high or low year) before applying the exit multiple."
Also asked as
- What share of total DCF enterprise value does terminal value typically represent, and why does that matter for how you present a DCF's output?
- Write the Gordon growth terminal value formula and the exit multiple terminal value formula. What does each require to be a valid, sensible calculation?
- Why must the perpetuity growth rate g be less than WACC? Explain both the mathematical and economic reasons.
- Terminal-year FCF is $60mm, WACC is 10%, and g is 2.0%. Compute the terminal value as of the terminal year and its present value if the terminal year is year 6.
- Explain what a 'fade period' is and why a model that jumps directly from a high explicit-period growth rate to a low terminal growth rate without one might be understating or overstating value.
- A cyclical company's terminal year happens to land at a cyclical peak. Explain the specific error this introduces into an exit-multiple terminal value calculation and how you would correct for it.
- Terminal-year EBITDA is $220mm and terminal-year FCF is $130mm. WACC is 8.5%. Peers trade at 10x-11x EV/EBITDA. Using Gordon growth with g=3.5%, compute the terminal value and its implied exit multiple. Is the assumption defensible? If not, propose a corrected g and recompute.
- A company's reinvestment rate (CapEx plus working capital investment as a share of NOPAT) in its explicit forecast period is 40%, supporting 12% annual growth. In the terminal year, the model assumes growth drops to g=2.5% but leaves the reinvestment rate at 40%. Explain precisely why this understates terminal-year free cash flow, and describe how you would correct the reinvestment assumption using the relationship between g, ROIC, and reinvestment rate.
- You are asked to defend a terminal value where Gordon growth (g=3.0%, WACC=9%) and an exit multiple of 11x on peers trading at 9x both appear in the same model, and they do NOT reconcile: Gordon growth's implied multiple is 13.5x. Walk through, step by step, how you would diagnose which input (WACC, g, or the chosen exit multiple) is most likely the source of the inconsistency, and how you'd defend your final choice to an MD who wants a single terminal value in the model.
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