Market research
BGCG.LSE Baillie Gifford China Growth Trust PLC
LSE GBP Financial Services
Latest close
As of 29 Oct 2026
Test a moving-average rule with historical data.
Market facts
- Market cap
- 148M
- P/E ratio
- 6.3
- Analyst target
- Not available
- Dividend yield
- 0.8%
- Beta
- 0.58
Profile
Instrument facts
- Exchange
- LSE
- Currency
- GBP
- Sector
- Financial Services
- Industry
- Asset Management
- ISIN
- GB0003656021
- Market cap
- 148M
- P/E ratio
- 6.3
- Analyst target
- Not available
- Dividend yield
- 0.8%
- Beta
- 0.58
About
About Baillie Gifford China Growth Trust PLC
Baillie Gifford China Growth Trust PLC is an open-end equity mutual fund launched by Witan Investment Services Limited. It is co-managed by Dalton Investments LLC;Aberdeen Asset Managers Limited;Robeco Institutional Asset Management B.V.;Matthews International Capital Management, LLC. It invests in public equity markets of Asia / Pacific region. It invests in stocks of companies operating across diversified sectors. The fund invests in growth stocks of diversified market capitalizations companies. The fund invests in dividend paying stocks of companies. The fund employs fundamental analysis with bottom-up stock picking approach to create its portfolio. The fund seeks to benchmark the performance of its portfolio against the MSCI All Country Asia Pacific Free Index. Baillie Gifford China Growth Trust PLC was formed in 1907 and is domiciled in United Kingdom.
Research context
Baillie Gifford China Growth Trust PLC appears in PyInvesting’s London Stock catalogue. The price history above describes this recorded instrument; it does not by itself identify a company’s business or establish a continuous investment return.
- Currency
- GBP
- Sector
- Financial Services
- Industry
- Asset Management
These are the latest stored catalogue classifications, not a historical classification snapshot. An issuer description, classification effective date or currency may be unavailable. Check the issuer’s own disclosures and the observation dates before using these fields for research.
Review backtest assumptions and evidence before treating a chart or stored history as a research result.
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