How the reports are built.

Data Inputs

Every report begins with structured financial data from multiple sources:

• Historical financial statements (income statement, balance sheet, cash flow) — typically 3–5 years of actuals
• Consensus analyst estimates for 2–3 years forward
• Exchange data: share price, market capitalization, shares outstanding
• Debt, cash, and net debt calculations for enterprise value derivation
• Sector and peer benchmark data where available

The quality of the report depends on the quality and completeness of the underlying data. Companies with limited or inconsistent financial data will have lower-quality reports, which is disclosed in the methodology section of each output.

Enterprise Value Framework

All valuation analysis starts from enterprise value (EV), not market capitalization. This is a foundational discipline that prevents misleading comparisons and ensures the analysis reflects the full cost of acquiring the business, including debt.

Enterprise value is calculated as:

EV = Market Capitalisation + Net Debt + Minority Interest + Preferred Stock − Cash and Cash Equivalents

We do not use market cap as a substitute for EV in any part of the analysis. All value pool allocations, all EV/EBIT ratios, and all reverse valuation calculations start from EV.

Company Value Map

The company value map is a structured decomposition of enterprise value into distinct pools. Each pool represents a business unit, asset category, or option value that contributes to the total EV.

The AI identifies and names value pools based on the company's segment reporting, business model description, strategic communications, and analyst consensus narrative. Pool types include:

• Core operating businesses — segments with current profitability and a clear DCF-derivable value
• Asset pools — property, land, financial assets, or other balance sheet items with separate market value
• Option pools — future business opportunities that are priced in by the market but not yet generating material profit
• Capital structure effects — pension obligations, tax assets, or other balance sheet items that affect EV

Each pool is allocated a share of EV based on a combination of DCF analysis, comparable transactions, and market pricing. The allocation is clearly presented with rationale, and all assumptions are disclosed.

Core Investment Analysis

The core analysis section follows a structured framework:

• Business model quality — pricing power, margin durability, capital intensity, and competitive moat
• Competitive position — market share trends, differentiation, and threat analysis
• Historical performance — revenue and EBIT trajectory, margin trends, cash conversion
• Valuation tension — where current pricing diverges from fundamental performance
• Scenario framework — what drives the difference between bull, base, and bear outcomes

The analysis is AI-generated from the structured data and frameworks above. It is not human-authored, but it follows the same logical structure a professional analyst would use. Key assumptions and uncertainties are always disclosed.

Reverse Valuation

Where a report includes target-price style output, reverse valuation is used to make the assumptions inspectable. The technique works backwards from the current enterprise value to identify what the market is implying about the company's future.

The reverse valuation answers the question: "What would have to be true for today's price to be rational?"

It outputs:

• Required revenue CAGR over 5–10 years
• Required EBIT margin level and trajectory
• Required cash conversion and capex assumptions
• Implied WACC (cost of capital) sensitivity
• Pool-by-pool required value for EV-heavy option companies

This allows the user to judge whether the implied assumptions are achievable — based on their own view of the business — rather than treating any single target-price output as a final answer.

Source Discipline

Each report lists the primary data sources used in the analysis. Typically these include:

• Company annual reports and quarterly earnings releases
• Exchange filings (SEC, Helsinki, Copenhagen, etc.)
• Consensus analyst estimate aggregates
• Exchange price data

The AI does not use unstructured web sources, social media, or news articles as primary inputs for financial data. Qualitative context may draw from company-published investor presentations and strategy documents. All sources are listed in the report's sources section.

Known Limitations

Users should be aware of the following limitations of AI-generated reports:

• Data freshness — reports reflect data as of the report date. If significant events have occurred since then, the analysis may be outdated.
• Consensus estimates — analyst consensus estimates can be wrong and are most useful as a benchmark, not a forecast.
• AI error risk — the AI may misinterpret or incorrectly weight inputs. Users should verify key metrics and assumptions before relying on the analysis.
• Sector-specific nuance — some sectors (financials, utilities, real estate) require different frameworks. Sector-specific adaptations are applied where possible but may be less precise than for standard industrial companies.
• Qualitative judgment — management quality, culture, and execution risk are difficult to quantify and may be underweighted in the AI analysis.

These limitations do not disqualify the report as a useful analytical starting point. They mean you should treat the report as one structured input among several — not as a final investment decision tool.

Not Investment Advice

Valuatum AI Equity Reports are informational research materials. They may include analytical rating and target-price language, but they are not personal investment advice or regulated financial advice of any kind.

The reports do not take into account any individual's financial situation, investment objectives, risk tolerance, or time horizon. Past performance is not indicative of future results. All investments carry risk, including the risk of total loss.

Always perform your own due diligence and consult a qualified financial advisor before making any investment decision. Read full disclaimer →