StockAnalyzer

Financial Analysis

DashboardSectorsComparablesScreenerUniverseMicrocapsAI 2nd OrderTheme MapEnergy & MaterialsMacroWatchlistCompareMi CarteraPortfolio

Recent

v0.1
GANESHCP.BO$202.20+0.92%
Fair $202.20+0.0%

GANESHCP.BO

GANESHCP.BO

Consumer Defensive / Packaged FoodsBSE

$202.20

+1.80 (+0.92%)

Fairly Valued+0.0%Fair Value $202.20Fund rank 30/100 · Data gapFallback financials|
SA 55/C
F-Score: 5/9

FCF base 3Y

n/d

n/d CAGR · yield n/d

FCF base 5Y

n/d

n/d base · n/d expected

Precio de entrada

n/d

MOS 32% · confianza 23%

FCF escenarios

weak_data · normalized FCF $357.6M · quality 52.0/100

Data gap 30/100
Bear 5Yn/dn/d
Base 5Yn/dn/d
Bull 5Yn/dn/d
Return 0/100Downside 20/100Model quality 32/100Data 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

55/100

C

Piotroski

5/9

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. Insufficient audited annual history (<3 SEC-backed years); composite fair value and forward targets are disabled until manually verified.
Thesis & Journal · GANESHCP.BOLocal privado en este navegador · GANESHCP.BO
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

$8.2B

P/E

18.3x

↑

EV/EBITDA

8.5x

↓

ROE

11.4%

↑

Gross Margin

25.5%

↓

Debt/Equity

0.07

↓
52-Week Range$202
$152$310

TradingView lightweight chart

GANESHCP.BO price, volumen y niveles de valoración

Último $197.75Periodo -35.2%
Fair value: $202.20

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

+12.8%

FCF CAGR

—

FCF margin

4.1%

FCF / Net income

0.84x

Latest source

Provider fallback

Margin decomposition

Último año: revenue $8.71B · net income $423.9M · FCF $357.6M

2023-FY → 2026-FY

Gross margin

25.5%+5.6% pts

Operating margin

7.1%+0.7% pts

Net margin

4.9%+0.4% pts

FCF margin

4.1%+10.6% pts
MetricTTM
2026
2025
2024
2023
Income Statement
Revenue$8.71B$8.71B$8.50B$7.55B$6.07B
Net Income$423.9M$423.9M$354.3M$269.9M$271.0M
EBITDA$910.6M$910.6M$779.3M$695.1M$601.4M
EPS——8.77——
Gross Margin25.5%25.5%22.2%18.3%19.9%
Operating Margin7.1%7.1%5.8%5.0%6.4%
Net Margin4.9%4.9%4.2%3.6%4.5%
Balance Sheet
Debt/Equity0.070.070.320.240.51
Current Ratio4.254.25———
Cash Flow
Free Cash Flow$357.6M$357.6M$283.6M$624.0M$-394.7M
Returns
ROE11.4%11.4%15.6%12.2%13.3%
Valuation
P/E18.3318.33———
EV/EBITDA8.478.47———
P/B2.212.21———
Growth & Yield
Revenue Growth2.5%2.5%12.6%24.3%—
Dividend Yield2.5%2.5%———

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 · available periodreconcilia total -32.7%

Total return

-32.7%

Start / end P/E

n/dx → n/dx

EPS bridge

8.77 → n/d

Residual

-35.2%

EPS growthn/d
Multiple reratingn/d
Dividend+2.5%
Residual / FX / buybacks / cross-term-35.2%

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.