StockAnalyzer

Financial Analysis

DashboardSectorsComparablesScreenerUniverseMicrocapsAI 2nd OrderTheme MapEnergy & MaterialsMacroWatchlistCompareMi CarteraPortfolio

Recent

v0.1
SVS.MI$9.34+2.86%
Fair $9.34+0.0%

SVS.MI

Svas Biosana S.p.A.

Healthcare / Medical DevicesMilan

$9.34

+0.26 (+2.86%)

Fairly Valued+0.0%Fair Value $9.34Fund rank 23/100 · Data gapFallback financials|
SA 44/C
F-Score: 4/9

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 34% · confianza 16%

FCF escenarios

weak_data · normalized FCF $-1.5M · quality 37.0/100

Data gap 23/100
Bear 5Yn/dn/d
Base 5Yn/dn/d
Bull 5Yn/dn/d
Return 0/100Downside 20/100Model quality 16/100Data 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

44/100

C

Piotroski

4/9

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 · SVS.MILocal privado en este navegador · Svas Biosana S.p.A.
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

$49M

P/E

7.2x

↓

EV/EBITDA

5.4x

↓

ROE

10.0%

↑

Gross Margin

39.6%

↓

Debt/Equity

1.16

↑
52-Week Range$9
$7$11

TradingView lightweight chart

SVS.MI price, volumen y niveles de valoración

Último $9.340Periodo -36.7%
Fair value: $9.340

Price & Ratios

Absolute Values (Left Axis)

Ratios / Percentages (Right Axis)

Financial statement dashboard

Crecimiento, márgenes y provenance

2022–2025 · 3 años de histórico normalizado

Revenue CAGR

+12.5%

FCF CAGR

—

FCF margin

-4.0%

FCF / Net income

-0.84x

Latest source

Provider fallback

Margin decomposition

Último año: revenue $141.5M · net income $6.8M · FCF $-5.7M

2022-FY → 2025-FY

Gross margin

39.6%-2.1% pts

Operating margin

9.2%+1.4% pts

Net margin

4.8%+1.2% pts

FCF margin

-4.0%-4.0% pts
MetricTTM
2025
2024
2023
2022
Income Statement
Revenue$141.5M$141.5M$122.3M$121.6M$99.5M
Net Income$6.8M$6.8M$5.9M$5.1M$3.6M
EBITDA$19.1M$19.1M$17.6M$15.6M$11.3M
EPS———0.960.66
Gross Margin39.6%39.6%39.8%39.2%41.7%
Operating Margin9.2%9.2%8.6%8.0%7.8%
Net Margin4.8%4.8%4.8%4.2%3.6%
Balance Sheet
Debt/Equity1.161.161.071.151.01
Current Ratio1.821.82———
Cash Flow
Free Cash Flow$-5.7M$-5.7M$-991018.00$-1.5M$10941.00
Returns
ROE10.0%10.0%9.4%8.7%6.5%
Valuation
P/E7.247.24—8.4015.33
EV/EBITDA5.425.424.054.897.79
P/B0.730.730.600.731.00
Growth & Yield
Revenue Growth15.7%15.7%0.5%22.2%—
EPS Growth———45.2%—
Dividend Yield2.2%2.2%———

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 +14.2%

Total return

+14.2%

Start / end P/E

n/dx → n/dx

EPS bridge

n/d → n/d

Residual

+12.0%

EPS growthn/d
Multiple reratingn/d
Dividend+2.2%
Residual / FX / buybacks / cross-term+12.0%

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.