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5236.KL$1.25-0.79%
Fair $1.25+0.0%

5236.KL

Matrix Concepts Holdings Berhad

Real Estate / Real Estate - DevelopmentKuala Lumpur

$1.25

-0.01 (-0.79%)

Fairly Valued+0.0%Fair Value $1.25Fund rank 25/100 · Data gapFallback financials|
SA 43/C
F-Score: 1/9

Book/ROE base 3Y

n/d

n/d CAGR · P/B n/d

Book/ROE base 5Y

n/d

n/d base · n/d expected

Precio de entrada

n/d

MOS 100% · confianza 20%

Book/ROE escenarios

weak_data · book/share n/d · quality 40.0/100

Data gap 25/100
Bear 5Yn/dn/d
Base 5Yn/dn/d
Bull 5Yn/dn/d
Return 0/100Downside 20/100Model quality 15/100Data QA 20/100

Ranking barato/determinista: CAGR esperado 5Y + downside bear + calidad del modelo + balance + capital allocation + data gate. No entra en buy-candidate si la data es débil o el CAGR 5Y no compensa.

Quality + valuation scorecard

SA Score

43/100

C

Piotroski

1/9

balance/quality

Valuation

50/100

+0.0% upside

5Y CAGR

+0.0%

50/100

Data QA

16/100

SEC 0%

Latest source: unknownPeriods: 4Warnings: 0unknown: 4
No SEC-backed annual rows; valuation uses fallback financial data. Sector-specific NAV/AFFO model required: REIT/real-estate targets are disabled until FFO/AFFO/NAV/cap-rate data exists. REIT NAV/AFFO valuation requires positive AFFO/share history or TTM AFFO/share; generic FCF remains disabled.
Thesis & Journal · 5236.KLLocal privado en este navegador · Matrix Concepts Holdings Berhad
Plantilla tipo buy-side: tesis, bull/base/bear, catalizadores, riesgos, kill criteria y fecha de revisión. Esto no gasta GPT-5.5; luego lo usamos como contexto del memo.

Sin guardar todavía.

Market Cap

$2.3B

P/E

10.4x

↓

EV/EBITDA

10.1x

↓

ROE

9.5%

↑

Gross Margin

39.2%

↓

Debt/Equity

0.45

↓
52-Week Range$1
$1$1

TradingView lightweight chart

5236.KL price, volumen y niveles de valoración

Último $1.250Periodo +141.3%
Fair value: $1.250

Price & Ratios

Absolute Values (Left Axis)

Ratios / Percentages (Right Axis)

Financial statement dashboard

Crecimiento, márgenes y provenance

2023–2026 · 3 años de histórico normalizado

Revenue CAGR

+6.9%

FCF CAGR

—

FCF margin

-16.9%

FCF / Net income

-1.05x

Latest source

Provider fallback

Margin decomposition

Último año: revenue $1.36B · net income $219.3M · FCF $-229.7M

2023-FY → 2026-FY

Gross margin

39.2%-4.8% pts

Operating margin

23.0%+1.3% pts

Net margin

16.1%-2.5% pts

FCF margin

-16.9%-35.7% pts
MetricTTM
2026
2025
2024
2023
Income Statement
Revenue$1.36B$1.36B$1.15B$1.34B$1.11B
Net Income$219.3M$219.3M$214.0M$244.3M$207.2M
EBITDA$317.1M$317.1M$292.2M$347.3M$277.2M
EPS——0.160.200.13
Gross Margin39.2%39.2%43.7%46.4%43.9%
Operating Margin23.0%23.0%25.2%22.5%21.7%
Net Margin16.1%16.1%18.6%18.2%18.6%
Balance Sheet
Debt/Equity0.450.450.250.070.12
Current Ratio2.562.56———
Cash Flow
Free Cash Flow$-229.7M$-229.7M$-477.6M$330.4M$209.0M
Returns
ROE9.5%9.5%9.6%11.4%10.3%
Valuation
P/E10.4210.428.136.197.21
EV/EBITDA10.1510.157.694.396.05
P/B1.011.010.780.710.75
Growth & Yield
Revenue Growth18.2%18.2%-14.4%20.8%—
EPS Growth——-16.1%48.5%—
Dividend Yield4.9%4.9%———

Revenue, Net Income & Free Cash Flow ($B)

Margins (%)

Returns (%)

Leverage & Liquidity

Reverse DCF · market-implied EPS growthterminal P/E 15.0x · COE 10.0%
Reverse DCF requires positive EPS; loss-making or zero-EPS companies cannot produce a clean EPS hurdle.

Qué te dice: cuánto EPS CAGR está descontando el precio si sales al múltiplo terminal indicado. Si el growth observado queda por debajo, el mercado está pidiendo una ejecución muy fina.

Return attribution · 1Y approxreconcilia total -4.5%

Total return

-4.5%

Start / end P/E

n/dx → n/dx

EPS bridge

0.16 → n/d

Residual

-9.4%

EPS growthn/d
Multiple reratingn/d
Dividend+4.9%
Residual / FX / buybacks / cross-term-9.4%

EPS/multiple decomposition requires positive EPS at both endpoints; residual absorbs price move not explained by dividends.

Simple additive decomposition: total return = EPS growth contribution + P/E multiple contribution + dividend contribution + explicit residual. The residual captures cross-terms, buybacks/share-count effects, FX, special dividends, data noise and methodology mismatch so the bridge always reconciles.