Research workspace

Finance

Public market data, research, and analysis in one place.

Finance home
Back to US Equities

US Equities · Finance research note

Bank Central Asia (BBCA.JK)

Research and analysis only
View analysis Browse US Equities

Evidence and analysis

Research evidence pack

Source-backed valuation visuals

Loading verified snapshot
Loading verified market, valuation, and statement data.

1. Industry Fundamentals

1.1 Cyclicality

The company operates in a cyclical industry sensitive to macroeconomic conditions. Revenue and earnings tend to correlate with broader economic cycles, with periods of expansion driving growth and contractions creating headwinds.

1.2 Competition

The industry is moderately competitive with established players and meaningful barriers to entry. Beta of N/A suggests moderate market sensitivity. Competitive advantages stem from brand, scale, or regulatory moats.

1.3 Technology

Key technology drivers include digital transformation, operational efficiency, automation. Companies that invest in R&D and adopt new technologies tend to gain market share. The pace of technological change creates both opportunities for innovation and risks of disruption.


2. Company Fundamentals

2.3 Management

RoleMetric
Consensus RatingN/A

2.4 Return

MetricValue
Expected Return (Ann.)N/A
Risk / Std Dev (Ann.)N/A

DuPont Model Analysis

DuPont analysis requires revenue, net income, total assets, and shareholders’ equity for two comparable annual periods. The required historical statement data was not available from the source at the time of refresh, so the analysis is marked N/A rather than estimated.

DuPont componentLatest two comparable fiscal years
RevenueN/A
Net incomeN/A
Total assetsN/A
Shareholders’ equityN/A
Net marginN/A
Asset turnoverN/A
Equity multiplierN/A
ROEN/A

Source checked: Yahoo Finance annual statements.

2.5 FCFF DCF Valuation

FCFF DCF exception: Missing verified DCF inputs: revenue, EBIT, D&A, capex, working-capital movement, WACC, gross debt, cash, share count. This post deliberately does not publish a mechanical enterprise value or implied per-share value on an unsuitable basis.

Available valuation inputValue
Last market price$106.14
Market capitalisationNM
RevenueNM
EBITNM
Reported free cash flowNM
FCF yieldNM
Net debt / EBITDANM

2.6 Investor-Style Research Screen

Educational screenResult
Buffett-inspired cash-quality checksnot rated — FCFF DCF suitability or data-integrity condition not met
Lynch-inspired balance-and-growth checksnot rated — FCFF DCF suitability or data-integrity condition not met

Data lineage: Yahoo Finance public market and reported-statement data; retrieval timestamp: 2026-08-18 17:24:08.963906 UTC; latest reported fiscal period: not available. Financial institutions and REITs require sector-specific methods rather than a mechanical FCFF DCF. This is research and analysis only, not personalized financial advice.

2.7 Quantitative Factor Diagnostics

Model basis: Daily issuer USD excess returns are regressed in-sample using ordinary least squares on matching regional Fama–French factors. FF3 estimates market, size, and value loadings; FF5 adds profitability and investment. Coefficients are descriptive historical exposures, not predictions.

Estimation inputValue
Regional factor setUS
Factor-return currencyUSD
Issuer-return basisUSD adjusted total return
Estimation window2025-08-19 to 2026-06-30
Aligned daily observations217
Minimum observation requirement120
Currency conversion for HK listingsnot required

Fama–French Three-Factor and Five-Factor Results

DiagnosticFF3FF5
Annualised alpha6.36%5.99%
Adjusted R²0.520.53
Annualised residual volatility9.78%9.70%
Factor loading (t-statistic)FF3FF5
Market excess return (Mkt-RF)0.72 (12.54)0.72 (11.00)
Size (SMB)0.26 (3.31)0.20 (2.40)
Value (HML)0.06 (0.94)-0.01 (-0.09)
Profitability (RMW)NM-0.07 (-1.07)
Investment (CMA)NM0.21 (1.77)

Definitions: Mkt-RF is the market return less the risk-free rate; SMB is small minus big; HML is high minus low book-to-market; RMW is robust minus weak profitability; CMA is conservative minus aggressive investment. Factor returns are sourced from the Kenneth R. French Data Library; issuer adjusted-return history is sourced from Yahoo Finance. For Hong Kong listings, adjusted HKD prices are converted into USD with daily USD/HKD closes before return calculation to match the USD regional factor basis. This is an in-sample historical regression; coefficients and t-statistics do not establish causation or predict future returns. This is research and analysis only, not personalized financial advice.

IndonesiaBankingValue InvestingBBCAFidelity