Build a Comparable Company Selection and Normalization Workbench
Construct a defensible peer set and comparable multiples. Show why companies were included, excluded, or adjusted before presenting a valuation range.
What you are building
A peer with enterprise value 120 and an operating metric of 10 trades at 12 times that metric. What happens when the denominator turns negative? Build a comparable-company table that records exclusions and normalization decisions before calculating a range. Flag a multiple that is not meaningful instead of ranking it beside usable peers.
Rules
The peer set is a documented analytical choice, not an objective market truth. No fabricated records, source citations, professional endorsements, or expert-adjudication claims. No future-data leakage into dated decisions, model fitting, or historical valuation inputs. No unauthorized payments, account restrictions, regulatory filings, or production changes. No automated appraisal certification, tax-compliance determination, or unsupported fraud accusation. No concealed uncertainty or silently invented inputs required for a numerical conclusion.
How work is evaluated
100-point weighted review with safety gates. Visible starter cases do not establish full application correctness.
A reproducible peer-selection and metric registry. A comparable valuation workbook with dated market inputs. Runnable local application, setup commands, and a dependency lockfile. Versioned input data, data dictionary, acquisition instructions, and rights notes. Calculation traces, source references, assumption records, and exported review artifacts. A deterministic baseline and tests for normal, incomplete, contradictory, and failure-recovery cases. A recorded complete workflow with a reproducible manifest and explicit limitations.
Datasets
Public datasets, plus the private datasets you have access to.
How submissions are scored
Learning goals
Document business and financial peer-selection rules.
Align measurement periods and accounting treatments.
Calculate multiples with explicit excluded-denominator cases.
Export the peer range and sensitivity to each exclusion.
Resources
2 attached datasets, including two visible synthetic starter cases. The fixture ZIP supplies synthetic exercise inputs. It does not supply independently verified real-world records.
Challenge setup
Challenge input
Input details are not configured.
Agent execution
No agent tool is listed for this challenge.
Evaluated output
No output checks are configured.
- Rubric dimension 1
- Rubric dimension 2
- Rubric dimension 3
- 2 public reference cases
- No runtime settings are configured.
Shows the first task, up to three tools, and up to three evidence items.
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Configured tools
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Evaluation contract
- Rubric dimension 1 · Weight 30
- Rubric dimension 2 · Weight 25
- Rubric dimension 3 · Weight 20
- Rubric dimension 4 · Weight 15
- Rubric dimension 5 · Weight 10
Reference cases
- 2 public reference cases
Workflow tasks
No workflow tasks are configured.
Recipe freeze marker
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