Make the observations comparable first
Keep the product, unit, entity scope and period length beside every observation. Production is not sales, and a quarter is not a year-to-date total. A changed reporting definition can create an apparent jump even when the underlying operation has not changed in the same way. Read the notes before calculating growth.
Company results such as MP Materials' quarterly releases illustrate why the metric definition belongs with the table. Any company-specific comparison should use the definitions applicable to both periods.
MP Materials: Second-quarter 2025 results and metric definitions ↗
Use two comparisons for two questions
Year-on-year change compares with the same period in the previous year and can help frame seasonality. Quarter-on-quarter change examines the latest step in the sequence. Neither establishes the cause of a change. Look for disclosed maintenance, commissioning, product-mix or feedstock context before attributing movement to a lasting operating trend.
Do not select only the comparison that supports the thesis. A strong annual improvement and a sequential fall can both be true. Present both and explain what additional periods or disclosures are needed to judge the trajectory.
Illustrative growth calculation
Suppose output is 600 tonnes a year earlier, 900 tonnes in the previous quarter and 840 tonnes now. Year-on-year growth is 40%; sequential change is about minus 6.7%. These invented figures demonstrate a calculation, not a company result. They support growth from the prior year but do not support a claim that the latest quarter accelerated.
Use the right denominator
| Comparison | Formula |
|---|---|
| Year on year | Current quarter / same quarter last year - 1 |
| Quarter on quarter | Current quarter / previous quarter - 1 |
| Annualised run rate | Quarterly output × 4, explicitly an assumption |
Your review checklist
- Match product, unit and entity scope.
- Check for revised or restated observations.
- Show both annual and sequential context.
- Keep a trend finding separate from a causal explanation.
Investigate with Oreline
Inspect production observations and their sources in Oreline before drawing a ramp-up conclusion. Its evidence workflow helps keep the reporting basis visible when comparing progress across periods or operations.
Follow the evidence through the supply chain.
Explore Oreline’s guided investigations. No account required.
Explore the sandbox →Frequently asked questions
Does one weak quarter establish a failed ramp?
No. It warrants investigation, but the cause and longer-term trajectory need further evidence.
Can sales be substituted when production is missing?
Not without changing the question. Sales can be affected by inventory, timing and product mix and should retain their original label.