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GANESHHOU.NS$699.40-1.31%
Fair $699.40+0.0%

GANESHHOU.NS

Ganesh Housing Limited

Real Estate / Real Estate - DevelopmentNSE

$699.40

-9.25 (-1.31%)

Fairly Valued+0.0%Fair Value $699.40Fund rank 28/100 · Data gapFallback financials|
SA 38/D
F-Score: 3/9

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 85.0/100

Data gap 28/100
Bear 5Yn/dn/d
Base 5Yn/dn/d
Bull 5Yn/dn/d
Return 0/100Downside 20/100Model quality 22/100Data 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

38/100

D

Piotroski

3/9

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 · GANESHHOU.NSLocal privado en este navegador · Ganesh Housing Limited
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

$58.3B

P/E

18.4x

↑

EV/EBITDA

13.6x

↑

ROE

13.6%

↑

Gross Margin

126.0%

↑

Debt/Equity

0.13

↓
52-Week Range$699
$500$1080

TradingView lightweight chart

GANESHHOU.NS price, volumen y niveles de valoración

Último $699.40Periodo +195.1%
Fair value: $699.40

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

-5.5%

FCF CAGR

—

FCF margin

5.8%

FCF / Net income

0.09x

Latest source

Provider fallback

Margin decomposition

Último año: revenue $5.11B · net income $3.16B · FCF $295.1M

2023-FY → 2026-FY

Gross margin

126.0%+80.2% pts

Operating margin

115.1%+73.1% pts

Net margin

61.8%+45.3% pts

FCF margin

5.8%+46.3% pts
MetricTTM
2026
2025
2024
2023
Income Statement
Revenue$5.11B$5.11B$9.60B$8.88B$6.06B
Net Income$3.16B$3.16B$5.98B$4.61B$1.00B
EBITDA$4.50B$4.50B$8.13B$6.27B$2.51B
EPS——71.7255.2512.00
Gross Margin126.0%126.0%115.3%74.2%45.8%
Operating Margin115.1%115.1%110.3%69.8%41.9%
Net Margin61.8%61.8%62.3%51.9%16.5%
Balance Sheet
Debt/Equity0.130.130.000.010.00
Cash Flow
Free Cash Flow$295.1M$295.1M$1.93B$4.83B$-2.45B
Returns
ROE13.6%13.6%29.1%29.7%9.0%
Valuation
P/E18.4518.4514.2314.5125.09
EV/EBITDA13.6313.6310.3310.559.47
P/B2.502.504.144.312.26
Growth & Yield
Revenue Growth-46.7%-46.7%8.0%46.7%—
EPS Growth——29.8%360.4%—
Dividend Yield0.2%0.2%———

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 -30.8%

Total return

-30.8%

Start / end P/E

n/dx → n/dx

EPS bridge

71.72 → n/d

Residual

-31.0%

EPS growthn/d
Multiple reratingn/d
Dividend+0.2%
Residual / FX / buybacks / cross-term-31.0%

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.