Read for the decision, not just the highlights
Start with the supplier or industrial thesis you need to assess. Find the operations, production, development and commercial sections relevant to that question, then inspect the footnotes and definitions. A group-wide highlight can be accurate while being unsuitable for a facility-level comparison.
MP Materials' full-year results provide an example of product and sales measures reported with accompanying context. Use the actual report applicable to your analysis and retain the definition attached to each extracted figure.
Build a small evidence table
For each useful observation, record the entity, product, metric, unit, period, publication date and page or section reference. Distinguish results from targets. Where management explains a change, retain the explanation as an attributed statement rather than treating it as an independently established cause.
Look for scope changes between editions. Acquisitions, revised segments, new products or restatements can affect comparability. Preserve the earlier observation and record the later correction, rather than overwriting history so thoroughly that the basis of an old decision becomes impossible to reconstruct.
Illustrative extraction mistake
The highlights page reports strong revenue growth while the operating section reports a different trend in the product relevant to the buyer. Revenue is not a substitute for product output: price, mix and timing can contribute. The research note should use the relevant operational measure and explain the difference rather than choosing the more impressive headline.
Minimum extraction fields
| Field | Question it answers |
|---|---|
| Metric and product | What exactly was measured? |
| Entity and period | Where and when does it apply? |
| Source location | Can another analyst verify the finding? |
Your review checklist
- Use the operational measure relevant to the decision.
- Read definitions and footnotes.
- Separate management explanation from your inference.
- Check restatements and scope changes across years.
Investigate with Oreline
Oreline organises researched production and relationship evidence so the team can inspect source context without repeatedly rebuilding the same record. Use it to connect a reported observation to the relevant company, facility and investigation.
Follow the evidence through the supply chain.
Explore Oreline’s guided investigations. No account required.
Explore the sandbox →Frequently asked questions
Can revenue growth demonstrate a production ramp?
Not by itself. Price, sales mix and timing can affect revenue. Use the product-specific production measure where available.
Should targets and results share one field?
No. Retain the target as a plan and the result as an observation, with dates and scope for each.