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L.7 · INTERMEDIATE · 2 MIN

Sensitivity Tables That Actually Inform

Most sensitivity tables are decorative. They flex every input by an arbitrary fixed percentage and produce a wall of numbers that nobody acts on. A useful sensitivity table is built backward from the decision: which inputs actually move the answer, what are their plausible ranges, and where does the answer change conclusion?

Quiz · 5 questions ↓

Find the two or three load-bearing inputs

Step 1 — identify the two or three load-bearing inputs. Build a quick tornado chart by flexing each input one at a time by its plausible economic range (not by an arbitrary fixed percentage) and measuring the impact on the output. Most models have two or three inputs that account for 80% of the variance, and a long tail of inputs that move the answer by less than 5%. Sensitivity work belongs on the first group; the rest is noise.

Which sensitivity exercises actually inform

Sensitivity exerciseWhat it showsVerdict
Flex every input by plus-or-minus 10%That the model has eight inputsCargo cult — uninformative
Tornado chart: each input flexed across its plausible range, one at a timeWhich two or three inputs the answer is actually sensitive toUseful — drives further work
Two-variable table on the load-bearing inputsWhere in input-space the answer flips conclusionUseful — the indifference frontier is the decision boundary
Monte Carlo on every input with assumed distributionsA confidence interval, often falsely preciseUseful only if the input distributions come from actual evidence

Worked example: a Crestline Tools sensitivity table

Worked example — Crestline Tools (fictional industrial supplier). Tornado chart shows the DCF output is dominated by (a) 2026E EBITDA margin and (b) terminal growth rate; revenue growth, capex, working capital and discount rate each move the answer by less than $1.50 per share within their plausible ranges. The two-variable sensitivity table flexes EBITDA margin from 14% to 19% (the band of last-five-year actuals plus management guide) against terminal growth from 1.5% to 3.5%. The intrinsic value crosses current price of $42 along a diagonal line — the indifference frontier. Above-and-right of the line, the stock is a long; below-and-left, it is a short or pass. The analyst reports: "I am long because I think EBITDA margin recovers to 17% (above the 16% indifference line at my terminal-growth assumption); my kill criterion is Q3 margin below 15%."

The indifference frontier is the decision boundary

The indifference frontier — the combination of load-bearing inputs where the intrinsic value equals the current price — is the single most decision-useful object a sensitivity exercise produces. It converts "is the model right?" into "which side of this line do I believe?". The latter is a question the analyst can actually answer; the former is a question that produces endless tinkering.

Choosing the next step after a tornado chart

An analyst's tornado chart shows that 90% of the variance in her Westmoor Optical DCF comes from same-store traffic growth and premium-frame mix. The next step should be:

A table that names no decision is decoration

If your sensitivity table does not point to a specific decision, it is decoration. Flex the inputs that matter, ignore the inputs that do not, and name the line in input-space where your view crosses from long to short.

Check your understanding

Sit with the ideas.

An analyst's sensitivity table on Crestline Tools shows the DCF output flexed by plus-or-minus 10% on every single input — revenue growth, gross margin, SG&A, capex, working capital, terminal growth, discount rate, share count. The table fits on one page. What is the right critique?

Why:
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