Use your own equity multiples
Keep your chosen multiple and matching per-share denominator visible in three independent scenarios. The calculator starts with prefilled, editable model assumptions and a result. These are not an actual quote, company accounts or recommended values. Edit the inputs and recalculate; Restore example returns to the initial assumptions.
1. Match the denominator to the multiple
Choose P/E for earnings per share, P/B for common-share book equity per share or P/S for revenue per share. Supply a positive amount in one currency on a consistent diluted share basis. Explicitly choose a past reporting period or forward assumptions for earnings and revenue; book equity refers to a past balance-sheet date or an assumed future date. These personal inputs do not establish issuer reporting dates or verified fundamentals.
The model multiplies equity per-share inputs. Enterprise-value multiples such as EV/EBITDA need a different denominator and equity bridge; they cannot be substituted into these fields. Zero and negative denominators do not produce a price here.
2. Supply three independent multiples
Enter a positive selected multiple for Bear, Base and Bull yourself. Each scenario value is the same supplied denominator multiplied by its own selected multiple. The names do not enforce an order or determine probabilities. No industry average, peer history or default fair multiple is supplied.
An optional supplied price is used only to compare the calculated scenario. It never selects the multiple. Without that price, price-relative percentages remain unavailable. Your margin-of-safety percentage reduces each scenario value to a separate model threshold; it is not a trading instruction.
3. Inspect the exact assumptions
Editing any input conceals the previous result until you explicitly calculate again. Open a headline to read its denominator, selected multiple, value, threshold and optional comparison. Exact detail preserves decimal strings, the method and actual calculation time.
This is a guide to Datisto. Private features require sign-in and access to your own data. Personal models use your assumptions; availability and permitted use of source data are checked with the particular result. This is not investment advice.