Swiss equity fundamentals dataset

Traceable annual financials for Swiss listed companies

Swiss Equity Data provides source-based fundamentals, accounting ratios and quality notes for Swiss listed companies. Reported and calculated fields are kept separate, and missing values are documented instead of estimated.

5 companies
55 annual rows
4 Q1 updates
1 H1 rows
55 source refs

Why Swiss Equity Data exists

Swiss listed company data is still fragmented, especially outside the largest names. Analysts often rebuild the same tables by hand from annual reports, interim updates, ratio calculations, source checks and notes on missing values.

Swiss Equity Data is building a structured, traceable and export-ready data layer for Swiss listed companies, starting with a five-company public preview dataset. The strongest use case is often outside the largest index names, where Swiss mid and small cap fundamentals are harder to collect, normalize and compare consistently.

Coverage roadmap

The long-term target is to expand toward roughly 220 Swiss listed companies. That is a roadmap target, not current public coverage.

Current public preview: 5 companies. The preview demonstrates the data model, quality controls, CSV/JSON exports, Python package and local MCP beta.

What the preview dataset includes

Annual fundamentals

Revenue, profitability, balance sheet, cash flow, and market fields cover 2015–2025 where available.

Q1 and H1 coverage

Interim coverage per company, including whether Q1 is a full P&L update or a sales update only.

Source tracking

Source references, quality summaries, and public notes are kept close to the data instead of hiding uncertainty.

CSV and JSON exports

Financials, ratios, data quality, and sources are available as static public files for offline analysis.

Reported vs calculated separation

Reported company figures are kept separate from calculated ratios and derived fields. Missing values are documented, not estimated.

Python and local MCP beta

The same public preview dataset can be queried from local Python scripts, notebooks, or a read-only MCP beta server for compatible clients.

No investment opinions

The dataset contains structured financial data only. No buy/sell signals, no target prices, no automated recommendations.

Current reporting coverage

Ticker Company Annual Q1 H1 Next expected report
BARN.SW Barry Callebaut AG Annual 2015-2025 Q1 available - sales update H1 available
DKSH.SW DKSH Holding AG Annual 2015-2025 No Q1 No H1 17 Jul 2026
GEBN.SW Geberit AG Annual 2015-2025 Q1 available - full pnl No H1 19 Aug 2026
SCMN.SW Swisscom AG Annual 2015-2025 Q1 available - full pnl No H1 Aug 2026
SIKA.SW Sika AG Annual 2015-2025 Q1 available - sales update No H1 Aug 2026

This is a five-company preview dataset. It does not provide recommendations, target prices, or opinions. June 2026 preview release.