Propdo Ltd. — Investor Relations & Filings
Propdo Ltd. operates a data-driven real estate platform that utilizes an AI-based solution to predict the future performance of residential properties. By leveraging numerous data sources, the platform provides forecasts, estimates, and analyses, serving as a decision support tool for real estate investors and professionals. The company's services support the selection and procurement of properties, including fully-managed acquisition services for international investments. Propdo is also engaged in residential real estate development and urban renewal.
Recent filings
| Filing | Released | Lang | Actions |
|---|---|---|---|
| The sector classification of PROPDO will be changed, as of April 6, 2025 from – TECHNOLOGY – INTERNET AND SOFTWARE, to REAL-ESTATE & CONSTRUCTION – CONSTRUCTION | 2025-04-02 | Hebrew (modern) | |
| Opening of Trading On February 18 2025-PROPDO W4 | 2025-02-17 | Hebrew (modern) | |
| Opening of Trading On February 18 2025-PROPDO B1 | 2025-02-17 | Hebrew (modern) | |
| PROPDO B1 ,PROPDO W4 - Identifying Details Of New Securities | 2025-02-16 | Hebrew (modern) | |
| Opening of Trading on December 5, 2024 - PROPDO W3 | 2024-12-04 | Hebrew (modern) | |
| Identifying Details of New Security- PROPDO W3 | 2024-12-03 | Hebrew (modern) |
Browse filings by year
4 yearsMarket data
Market data not available
Price history
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|---|---|---|---|
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GeeCee Ventures Limited
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Gemdale Corporation
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600383 | CN | Real estate activities |
Propdo Ltd. via the API
Pull this company's filings, identifiers, and metadata as JSON or Markdown. Authenticate with your API key, then query by company ID, ISIN, or LEI. Full schema documented in the OpenAPI spec.
Endpoints
| GET | /api/companies/7000/ | Company identity, sector, listing, identifiers |
| GET | /api/filings/?company=7000 | Paginated list of all filings (filterable by type, date, language) |
| GET | /api/filings/{id}/ | Single filing — metadata, document URL, processing status |
| GET | /api/filings/{id}/markdown/ | Filing content as Markdown (PDF → text/tables/figures) |
| GET | /api/isins/?company=7000 | All ISINs registered to this company |
| GET | /api/filing-types/ | Reference: every filing-type code + category |
cURL
$ curl https://api.financialreports.eu/api/filings/?company=7000 \ -H "x-api-key: $FR_API_KEY" \ -H "Accept: application/json"
Python
import requests r = requests.get( "https://api.financialreports.eu/api/filings/", params={"company": 7000}, headers={"x-api-key": API_KEY}, ) filings = r.json()["results"]
MCP server
// MCP server URL https://mcp.financialfilings.com/mcp // Once connected, the LLM can query this company directly: "Pull the latest 5 filings for Propdo Ltd. (id: 7000)"
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