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valuationmethodologynormalizationearnings

Growth is not volatility.

Misano

One cyclical peak × a multiple is a lottery. Misano's earnings normalization is trend-conditional: it fits an OLS trend through the EBITDA (or net profit) series and measures how noisy the residuals are. Steady growth is a trend, not volatility. When residual noise crosses a threshold, the median of available years goes into the multiple — and the method label says so.

How the test runs

  • Fit an OLS trend through the EBITDA series (or net profit when that is the metric in play).
  • Coefficient of variation of the residuals = RMSE of residuals ÷ |mean|. A steadily growing company has residuals near zero.
  • Above a threshold of 0.30, the latest year is treated as untrustworthy for the multiple → the median of available years is used, with the label normalised (median).
  • Sign-flip rule: a profit↔loss switch in the last two reported years triggers automatic median — even if the residual CV alone would not.

What it deliberately ignores

  • Older losses (startup history further back than the last two reported years) do not brand the company forever. The sign-flip rule is about recent switches, not ancient red years.
  • This is not the buyer-restatement layer (owner compensation, one-offs, related-party contracts) described at misano.ai/guides/how-to-value-a-private-company. Trend-conditional normalization decides which year-level goes into the multiple when the series is noisy.
  • It is not a rewrite of staleness gates or the method cascade. Hard-stale metrics still cannot headline; EV/EBITDA still prefers usable normalized EBITDA. See misano.ai/guides/stale-filings-cannot-make-todays-headline and misano.ai/guides/ev-ebitda-then-pe-then-ev-revenue.

Why the label matters

  • The method label is a sentence, not a code — e.g. EV/EBITDA 12× (manual override; normalised (median)). Screening without that provenance is how a peak year becomes a fake-precise EV.
  • Normalization feeds the same multiples band that triangulates with Damodaran DCF and NAV on the football field: misano.ai/guides/value-band-is-triangulated.

What this is not

  • Not silent averaging of every year into a fake-smooth earnings path without a threshold test.
  • Not carrying last year's EBITDA forward when this year's is missing — that is a cascade drop, not normalization.
  • Not a rewrite of the full valuation essay. Multiples cascade, staleness, NAV, DCF, and football field stay at misano.ai/guides/how-we-value-companies-at-scale.

Get started at https://app.misano.ai/login. From €39/month billed annually, 14-day money-back, no sales call. Product path: misano.ai/scout.

See also: misano.ai/guides/how-we-value-companies-at-scale, misano.ai/guides/ev-ebitda-then-pe-then-ev-revenue, misano.ai/guides/stale-filings-cannot-make-todays-headline, misano.ai/guides/value-band-is-triangulated, and misano.ai/guides/how-to-value-a-private-company.

Frequently asked

01

What does trend-conditional earnings normalization mean in Misano?

Misano fits an OLS trend through the EBITDA (or net profit) series and measures residual noise as RMSE of residuals ÷ |mean|. Above 0.30, the median of available years goes into the multiple with a normalised (median) label. Steady growth is a trend, not volatility. Full method: misano.ai/guides/how-we-value-companies-at-scale.

02

When does Misano use the median instead of the latest year?

When residual coefficient of variation exceeds 0.30, or when there is a profit↔loss sign flip in the last two reported years. The method label says normalised (median) — it is not silent.

03

Do old startup losses force a median forever?

No. Older losses further back than the last two reported years do not brand the company forever. The sign-flip rule looks at recent switches only.

04

Is this the same as adjusting owner pay and one-offs?

No. Buyer-restatement (owner compensation, one-offs, related-party contracts) is a different layer, covered at misano.ai/guides/how-to-value-a-private-company. Trend-conditional normalization decides which year-level enters the multiple when the series is noisy.

See also: the full valuation-multiples benchmark at misano.ai/guides/multiples.