Build year-by-year target prices using forward revenue and EV/Sales assumptions. Net cash and shares are applied across all years to keep the model simple.
Leverage Futures Independent Research
Our view centers on launch cadence, government demand durability, and scaling of the Space Systems mix. RKLB screens as a high-duration asset where multiple normalization can dominate returns if growth delivery slips.
For information purposes only, not investment advice.
A detailed wiki-style memo focused on launch execution, space-systems scaling, and how growth durability interacts with EV/S multiple normalization.
Rocket Lab is a high-duration growth equity where execution consistency matters as much as absolute growth. The core valuation debate is whether multi-year revenue expansion can offset expected contraction from very elevated EV/S multiples.
The company operates two key engines: launch services and space systems/components. The mix between these engines influences margin quality, cash-flow stability, and investor perception of business durability.
Launch valuation is less about headline mission count and more about conversion quality: mission mix, contract economics, and schedule reliability. Any reliability event can temporarily reset market confidence regardless of backlog size.
Space Systems can reduce cyclicality by adding broader demand exposure and potentially smoother contract visibility. It is a key candidate to become the margin anchor while launch remains execution intensive.
Neutron is a strategic optionality layer. It can expand addressable market and improve long-term positioning, but development schedule and capital requirements add uncertainty. Roadmap credibility is therefore a major share-price sensitivity variable.
For this coverage, profitability is evaluated through operating leverage by segment rather than short-term consolidated margin fluctuations. Sustainable re-rating typically needs a visible path from growth to cash generation.
Liquidity profile and funding flexibility are important because growth programs can absorb cash before returns are proven. Balance-sheet strength affects strategic freedom during development delays or macro demand shocks.
| Scenario | Growth Trajectory | Execution Quality | Multiple Behavior |
|---|---|---|---|
| Bull | Strong launch and systems growth with backlog quality. | High schedule reliability and program delivery. | Gradual compression offset by growth quality. |
| Base | Healthy but uneven multi-year scaling. | Manageable delays without major reliability shock. | Normalization toward historical growth multiples. |
| Bear | Growth misses due to cadence or contract timing. | Execution interruptions reduce confidence. | Fast de-rating before profitability inflection. |
Key risks include execution slippage, government spending variability, and valuation compression outpacing growth realization. This wiki is designed as a long-form context layer that should be read with the interactive valuation appendix below.
Document intent: independent research context for model users. Not investment advice.
Model Appendix
Set forward revenue and EV/S assumptions by year to test implied RKLB target prices.
All values are in USD millions unless noted. Use negative numbers for net debt.
Enter revenue and EV/Sales for each year to get implied target prices.
| Year | Revenue (USD m) | EV/Sales (x) | Enterprise Value | Equity Value | Implied Price |
|---|---|---|---|---|---|
| 2025 TTM | $0m | $0m | $0.00 | ||
| 2026E | $0m | $0m | $0.00 | ||
| 2027E | $0m | $0m | $0.00 | ||
| 2028E | $0m | $0m | $0.00 | ||
| 2029E | $0m | $0m | $0.00 | ||
| 2030E | $0m | $0m | $0.00 |
Use TTM revenue with scenario multiples to compare implied prices.
| Scenario | EV/Sales (x) | Enterprise Value | Equity Value | Implied Price |
|---|---|---|---|---|
| Current (64-78x range) | $0m | $0m | $0.00 | |
| 3Y Average | $0m | $0m | $0.00 | |
| 5Y Average | $0m | $0m | $0.00 | |
| Industry Avg | $0m | $0m | $0.00 |
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Ask about RKLB valuation logic, EV/S assumptions, and scenario risk.