How to Interpret a Buildout-Based DCF

Thesis

A reader's guide to phase-level DCFs, execution probabilities, timing, financing, dilution, and terminal value.

The argument

The most useful output is often not one price. It is the bridge showing which assumptions create the difference between bear, base, and bull cases.

Key findings

• Read the phase schedule before the price output.
• Separate enterprise value from equity value.
• Reconcile capex funding to diluted shares and net debt.
• Check how much value comes from the terminal period.
• Treat completion probability as an explicit judgment call.

Counterarguments

Some readers prefer a single target for simplicity. That can be useful for communication, but it should follow—not replace—the conditional structure.

Risks

False precision, unit mismatch, double counting, and hidden dilution are common errors.

Catalysts

New filings, contracts, construction milestones, and operating results should update a specific input rather than merely change the narrative.

Scenario analysis

A scenario is internally consistent when its timing, revenue, margin, capex, financing, share count, and terminal assumptions describe the same world.

Valuation analysis

Discount each phase from the date cash actually occurs. Subtract claims senior to common equity. Divide by a share count consistent with the financing plan.

Assumptions

Every major input should have a value, unit, scenario, source type, source, date, confidence level, and note.

Methodology

Use the project's methodology and linked model pages to audit the complete chain.

Disconfirming evidence

A model should be revised when actual results contradict its operating, timing, or financing assumptions.

What would change the conclusion

Better evidence should narrow the range. New uncertainty should widen it.

Related models

• IREN Five-Year DCF and Buildout Model
• NUAI TCDC Site Economics Model