Sahm Screenerسهم

Disclaimer & Disclosures

Last updated: March 2026

1. Not investment advice

Legal
Nothing on Sahm Screener — including screens, alerts, data, analysis, or any other feature — constitutes investment advice, a recommendation to buy or sell any security, or a solicitation of any kind.

Sahm Screener is a data organisation and screening tool only. All investment decisions are yours alone. You should consult a licensed financial advisor before making any investment decision. Sahm Screener accepts no liability for any financial loss arising from use of this platform.

2. Data source & accuracy

Data

All financial data on Sahm Screener is sourced from XBRL filings mandated by the Capital Market Authority (CMA) of Saudi Arabia and published on the official Saudi Exchange portal (saudiexchange.sa). These are the same filings companies are legally required to submit.

Data is parsed automatically from XBRL HTML files using software. While we verify parsing accuracy, errors may occur. All figures should be cross-checked against the original filing before use in any investment decision.

Some companies file financial statements in PDF format only, or in Arabic only. For these companies, data is extracted using AI-assisted PDF parsing (Claude Sonnet by Anthropic). Accuracy may be lower for PDF-sourced data compared to XBRL-sourced data. PDF-sourced records are labelled accordingly.

Financial data is updated on a nightly basis. There may be a lag of up to 24 hours between a company filing results and those results appearing on this platform.

Price data is sourced from a third-party provider and reflects end-of-day closing prices, not live or intraday prices.

3. Coverage

Data

Sahm Screener currently covers 391 of 394 companies listed on Tadawul (Main Market) and Nomu (Parallel Market). 3 companies have no machine-readable financial filings available on Saudi Exchange at this time.

Historical annual data covers 2021 to 2024 for most companies. Quarterly data covers Q1 2020 through the most recent filed quarter for companies that file XBRL quarterly reports.

Coverage varies by company. Some companies — particularly newer Nomu listings and REIT funds — have less complete filing histories.

4. Market capitalisation

Data

Market capitalisation is calculated as current share price multiplied by shares outstanding derived from the most recent annual filing. This figure may be approximate because shares outstanding may have changed since the last filing due to bonus share issuances, rights issues, or buybacks.

Always verify market capitalisation against the official Saudi Exchange company profile before use.

5. Financial sector exclusions

Important
Several screens on this platform exclude banks, insurance companies, and REITs. This is intentional.

Financial sector companies report under different accounting conventions. EBITDA is not a standard metric for banks. Debt/Equity ratios for banks are structurally high by design. Operating cash flow for banks includes loan originations. Applying industrial company metrics to financial sector companies produces misleading results.

Where a screen excludes financial sector companies, this is clearly labelled on that screen.

6. Quarterly data

Important

Quarterly Results are a paid feature available to Pro subscribers (SAR 99/year).

Quarterly data is sourced from the same CMA-mandated XBRL filings as annual data. Not all companies file quarterly XBRL — some companies (particularly REITs and Nomu micro-caps) file quarterly results in PDF format only, which may result in fewer fields being available.

Quarterly figures are reported as filed by the company. We do not annualise, adjust, or restate quarterly figures unless explicitly stated.

7. Zakat-adjusted P/E ratio

Data
Zakat-adjusted P/E = Price per share ÷ ((Net profit + Zakat paid) ÷ shares outstanding)

Sahm Screener displays a Zakat-adjusted P/E ratio as a supplementary metric.

The Zakat figure is taken directly from the Zakat expense line in the official XBRL filing. This ratio is not a universally standardised metric. Other platforms may calculate it differently or not at all. It should be used as a supplementary lens, not a replacement for standard valuation analysis.

For companies that pay both Zakat and income tax (e.g. companies with foreign shareholders), the adjustment may overstate the add-back.

8. Dividend yield

Data

Dividend yield displayed on this platform is estimated, calculated as total dividends paid in the most recent financial year divided by current market capitalisation.

This method may differ from declared dividend per share yield used by other platforms. Interim dividends, special dividends, or dividends announced after the most recent filing may not be included.

Dividend yield is labelled as estimated throughout the platform.

9. Pricing and subscription

General

Sahm Screener offers one paid plan: SAR 99 per year (Pro).

Pro unlocks the Quarterly Results feature for all 394 companies. All other features — the screener, company pages, annual financial data, ratios, and charts — remain free with no account required.

Subscriptions are managed via Paddle. Sahm Screener acts as the merchant of record through Paddle’s infrastructure.

Cancellation: you may cancel at any time. Access continues until the end of the paid period.

Features listed as ‘coming soon’ on the Pro page are not yet available. Subscribing does not guarantee a launch date for future features. Future features may or may not be included in the SAR 99/year plan — pricing will be communicated clearly before any changes.

10. Regulatory notice

Legal
Sahm Screener is a data and analytics platform. It is not licensed by the Capital Market Authority (CMA) of Saudi Arabia or any other financial regulator. Use of this platform does not create any advisory or fiduciary relationship.

Users are responsible for complying with all applicable laws and regulations in their jurisdiction, including those relating to securities trading, capital gains, and Zakat obligations.

11. AI-assisted data extraction

Data

For companies without XBRL filings, financial data is extracted from PDF documents using Claude Sonnet (by Anthropic), a large language model.

AI-extracted data may contain errors. The model reads financial tables from PDFs and returns structured data — but complex layouts, Arabic text, or scanned documents may result in lower accuracy.

AI-extracted records are identifiable by the label ‘Source: PDF filing’ on individual company pages. We recommend cross-checking AI-extracted figures against the original PDF before use.

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