Brunello Cucinelli SpA ADR (BCUCY.US)

10-Year Study

BCUCY.US · Consumer Cyclical · Common Stock

About Brunello Cucinelli SpA ADR (BCUCY.US)

Consumer Cyclical

Brunello Cucinelli SpA ADR (BCUCY.US) is listed on global equity exchanges in the Consumer Cyclical sector.

Source: EODHD Financial Datasets
Fundamentals updated: Latest Filing

Fundamental Snapshot

Brunello Cucinelli SpA ADR (BCUCY.US) operates in the Consumer Cyclical market. Detailed fundamentals are summarized below as reported in trailing financial disclosures.

Executive Summary: Brunello Cucinelli SpA ADR has compounded at 19.2% annually over the last 10 years, with a maximum drawdown of 35.6% and an annualized volatility of 36.7%.

1Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
-22.5%
3Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+5.9%
5Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+11.3%
10Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+19.2%

History & Riski10-year historical performance analysis including CAGR, Max Drawdown, Sharpe & Sortino ratios, annual returns, and rolling volatility — all computed from daily market data.

10-Year Growth of $10,000

View full price history data
DateValue
2016-06-01$10,000
2016-08-01$10,129
2016-12-01$11,433
2017-01-01$12,367
2017-02-01$11,657
2017-03-01$13,142
2017-04-01$14,409
2017-05-01$14,956
2017-07-01$16,087
2017-08-01$16,235
2017-09-01$17,760
2017-10-01$17,915
2017-11-01$18,638
2017-12-01$18,484
2018-01-01$19,161
2018-02-01$18,633
2018-03-01$18,133
2018-06-01$25,443
2018-07-01$23,883
2018-08-01$26,225
2018-09-01$23,309
2018-10-01$19,002
2018-11-01$20,071
2019-03-01$20,040
2019-05-01$18,663
2019-06-01$18,566
2019-07-01$19,386
2019-08-01$18,239
2019-09-01$18,210
2019-10-01$18,167
2019-11-01$21,101
2019-12-01$20,544
2020-01-01$21,092
2020-02-01$19,111
2020-03-01$17,613
2020-04-01$18,662
2020-05-01$18,875
2020-06-01$17,221
2020-07-01$16,896
2020-08-01$18,337
2020-09-01$17,708
2020-10-01$17,401
2020-11-01$22,809
2020-12-01$25,332
2021-01-01$23,278
2021-02-01$24,017
2021-03-01$24,986
2021-04-01$29,572
2021-05-01$34,629
2021-06-01$33,918
2021-07-01$35,965
2021-08-01$34,159
2021-09-01$31,951
2021-10-01$35,166
2021-11-01$36,488
2021-12-01$40,030
2022-01-01$33,252
2022-02-01$32,764
2022-03-01$34,263
2022-04-01$30,137
2022-05-01$29,234
2022-06-01$26,303
2022-07-01$33,693
2022-08-01$30,490
2022-09-01$28,701
2022-10-01$33,931
2022-11-01$37,911
2022-12-01$43,168
2023-01-01$48,475
2023-02-01$49,475
2023-03-01$58,159
2023-04-01$56,028
2023-05-01$50,769
2023-06-01$51,890
2023-07-01$50,066
2023-08-01$48,932
2023-09-01$45,015
2023-10-01$47,311
2023-11-01$48,934
2023-12-01$57,755
2024-01-01$59,164
2024-02-01$70,882
2024-03-01$66,023
2024-04-01$61,353
2024-05-01$62,907
2024-06-01$62,810
2024-07-01$58,566
2024-08-01$61,574
2024-09-01$67,679
2024-10-01$61,786
2024-11-01$62,053
2024-12-01$68,408
2025-01-01$81,186
2025-02-01$81,482
2025-03-01$71,497
2025-04-01$70,626
2025-05-01$77,830
2025-06-01$76,579
2025-07-01$71,281
2025-08-01$73,121
2025-09-01$69,410
2025-10-01$63,588
2025-11-01$66,882
2025-12-01$73,898
2026-01-01$59,789
2026-02-01$59,612
2026-03-01$54,555
2026-04-01$61,635
2026-05-01$59,928
2026-06-01$59,738
2026-07-01$57,905
Max DrawdownMax DrawdownThe largest peak-to-trough decline in the asset's value over the measurement period.Click for full definition →
35.6%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
0.68
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
1.47
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
34.6%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2017 · +61.7%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2026 · -21.6%
% Positive Years% Positive YearsThe percentage of calendar years in the measurement period where the asset delivered a positive return.Click for full definition →
90%

Annual Returns

View full annual returns data
YearReturn
201761.7%
20188.6%
20192.4%
202023.3%
202158.0%
20227.8%
202333.8%
202418.4%
20258.0%
2026-21.6%

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
2026-19.1-0.3-8.513.0-2.8-0.3-3.1-21.6%
202518.70.4-12.3-1.210.2-1.6-6.92.6-5.1-8.45.210.58.0%
20242.419.8-6.9-7.12.5-0.2-6.85.19.9-8.70.410.218.4%
202312.32.117.6-3.7-9.42.2-3.5-2.3-8.05.13.418.033.8%
2022-16.9-1.54.6-12.0-3.0-10.028.1-9.5-5.918.211.713.97.8%
2021-8.13.24.018.417.1-2.16.0-5.0-6.510.13.89.758.0%
20202.7-9.4-7.86.01.1-8.8-1.98.5-3.4-1.731.111.123.3%
2019-0.2-6.9-0.54.4-5.9-0.2-0.216.1-2.62.4%
20183.7-2.8-2.740.3-6.19.8-11.1-18.55.68.6%
20178.2-5.712.79.63.87.60.99.40.94.0-0.861.7%
20161.312.914.3%

Risk X-RayiA 19-factor macroeconomic risk decomposition showing exactly which market forces (equity beta, rates, inflation, credit, commodity, crypto) drive this asset's volatility. Powered by multivariate regression against daily factor returns.

Factor Risk Decomposition

Share of annualised volatility attributable to each macro factor.

Total Est. Vol
36.7%
View full factor risk breakdown
FactorRisk Exposure
VTI.US27.0%
VEA.US15.2%
VWO.US-4.7%
QQQ.US-8.4%
VTV.US-4.3%
IJR.US-1.2%
QUAL.US18.3%
SHV.US9.1%
TLT.US4.9%
LQD.US-1.6%
HYG.US0.9%
GLD.US-0.7%
USO.US1.0%
VNQ.US-8.8%
BTC-USD.CC-0.2%
CPER.US1.4%
VIX.INDX7.3%
UUP.US15.1%
TIP.US2.0%
Idiosyncratic27.8%

Brunello Cucinelli SpA ADR Business Fundamentals

Reported valuation multiples, trailing margins, YoY growth, and balance-sheet liquidity.

Valuation Multiples

P/E Ratio (TTM)
43.48x

Dividend & Income Analysisi10-Year historical income simulation on a $10,000 initial investment, cumulative dividend income generated, average yield on cost, and annual payout table.

Income Simulation

Based on $10,000 initial investment.

Total Income Generated
$771
Avg Yield on Cost
7.71%
Annual Income Simulation Table
Historical Realised Yields
YearAnnual PayoutYield on CostQuality
2026$771.227.71%Weak

Momentum & MacroiPrice momentum indicators: distance from 50/200-Day SMA, 52-Week High proximity, Golden Cross trend signal, RSI momentum gauge, Fibonacci retracement levels, and Beta (market sensitivity).

vs 50-Day SMAMoving Averages (SMA)A rolling average of an asset's price over a defined window — used to identify trends and momentum signals.Click for full definition →
-4.8%
Above/below 50-day moving average
vs 200-Day SMAMoving Averages (SMA)A rolling average of an asset's price over a defined window — used to identify trends and momentum signals.Click for full definition →
-8.4%
Above/below 200-day moving average
vs 52-Week High52-Week HighThe highest price an asset reached in the past 52 weeks — a key reference for momentum and valuation context.Click for full definition →
28.2% from high
Distance from 52-week high
BetaBetaA measure of an asset's sensitivity to broad market movements relative to a benchmark (e.g. S&P 500).Click for full definition →
0.94
Market sensitivity coefficient
Trend SignalGolden Cross & Death CrossTechnical chart patterns that occur when a short-term moving average crosses over a long-term moving average.Click for full definition →
✦ Death Cross
Bearish — 50 SMA below 200 SMA
RSI (14-Day)Relative Strength Index (RSI)A momentum oscillator that measures the speed and change of price movements to identify overbought or oversold conditions.Click for full definition →
36
OversoldNeutralOverbought
Neutral
Fibonacci LevelsFibonacci RetracementTechnical levels based on mathematical ratios that indicate potential support and resistance areas.Click for full definition →
38.2% retracement-16.0%
50.0% retracement-11.4%
61.8% retracement-6.2%
% distance of current price from each 52-week Fibonacci support level.

In-Depth Analysis

BCUCY.US — 10-Year Return & Risk Profile

Brunello Cucinelli SpA ADR (BCUCY.US) has delivered exceptional annualized growth of 19.2% over the last 10 years. A $10,000 investment at the start of the period would have grown to approximately $58,041, representing a total return of 480%. Over this period, BCUCY.US generated positive annual returns in 9 out of 10 calendar years (90%).

The best single calendar year for BCUCY.US was 2017, with a return of +61.7%. The worst year was 2026, when the asset declined 21.6%. This spread between best and worst year is a useful indicator of the range of outcomes an investor might have experienced in a given 12-month window.

The asset's Sharpe ratio of 0.68 is considered acceptable on a risk-adjusted basis. The Sharpe ratio measures return earned above the risk-free rate per unit of total volatility — a higher reading indicates more efficient return generation relative to the risk taken. Investors focused on risk-adjusted outcomes should weigh this figure alongside absolute CAGR when making allocation decisions.

BCUCY.US — Drawdown, Volatility & Downside Risk

BCUCY.US's annualized volatility of 34.6% is classified as high relative to the long-run US equity benchmark of approximately 15%. This above-average volatility means investors in BCUCY.US have historically experienced larger day-to-day price swings than the broader market, which requires a higher tolerance for short-term portfolio fluctuations.

The asset's maximum peak-to-trough decline over the study period was 35.6% — a severe bear-market collapse. Drawdown magnitude is a critical consideration for investors who may need to liquidate positions during market stress, as a larger decline requires proportionally greater subsequent gains to recover to the prior peak. A 36% drawdown, for example, requires a 55% gain just to break even.

When evaluating BCUCY.US for inclusion in a diversified US portfolio, it is important to note that historical volatility and drawdown metrics are backward-looking. They capture the risk environment of the past 10 years, which included the COVID-19 market crash (2020), the 2022 Federal Reserve rate hike cycle, and various geopolitical disruptions. Future risk may differ materially, particularly in response to structural changes in US monetary policy, sector regulation, or macroeconomic regime shifts.

BCUCY.US — Macroeconomic Factor Risk Exposure

The macroeconomic factor model attributes 27.0% of BCUCY.US's return variance to US Equity (broad market). This means that when US Equity (broad market) rises or falls sharply, BCUCY.US tends to move in the same direction with meaningful magnitude. Investors who already hold significant exposure to this factor — through other funds or direct equity positions — should be aware of this concentration when sizing their BCUCY.US allocation.

The second-largest macro driver is US Quality Factor, contributing 18.3% of variance. 27.8% of BCUCY.US's risk is attributable to idiosyncratic, stock-specific factors that are uncorrelated with the broader macro drivers. A higher idiosyncratic share generally indicates that the fund's performance is more dependent on the security selection or holdings composition of the individual underlying assets, rather than broad market forces.

For US investors building a diversified multi-asset portfolio, understanding BCUCY.US's factor exposures helps assess its marginal contribution to overall portfolio risk. Adding BCUCY.US alongside assets with low correlation to US Equity (broad market) — such as US Treasury bonds, commodities, or assets with significant developed-market ex-US exposure — can reduce the overall portfolio's sensitivity to any single macroeconomic theme.

Compare this AssetiRun a head-to-head backtest and risk analysis against similar assets.

Frequently Asked Questions & Methodology

Is Brunello Cucinelli SpA ADR a high-risk investment?

Brunello Cucinelli SpA ADR (BCUCY.US) has an annualized volatility of 36.7% and experienced a maximum drawdown of 35.6% over the last 10 years. Its primary macro risk driver is VTI.US.

What is the 10-year return of BCUCY.US?

Over the past 10 years, BCUCY.US has generated a Compound Annual Growth Rate (CAGR) of 19.2%. A $10,000 investment would have grown to approximately $58,041. It has had a positive return in 90% of calendar years.

What is BCUCY.US's Sharpe ratio?

BCUCY.US has a Sharpe ratio of 0.68 and a Sortino ratio of 1.47 over the 10-year period. The Sharpe ratio measures risk-adjusted return — how much excess return is earned per unit of volatility. A reading below 1.0 suggests investors were not fully compensated on a risk-adjusted basis.

What is BCUCY.US's dividend yield?

BCUCY.US has an average trailing dividend yield of 10.95%. On a $10,000 initial investment, it generated approximately $771 in cumulative income over the study period. All return metrics on this page use total return (dividends reinvested).

Is BCUCY.US above its 200-day moving average?

BCUCY.US is currently below its 200-day moving average by 8.4%. The current trend signal is: Bearish — 50 SMA below 200 SMA. The 200-day SMA is a widely used long-term trend filter — assets trading above it tend to exhibit positive price momentum.

Data Methodology & Trust

The risk and return information on this page is pre-calculated mathematically using daily market data spanning a 10-year period. Fundamentals (such as P/E Ratio, Market Cap, and Dividend Yield) represent trailing averages and may not immediately reflect real-time live market fluctuations. Advanced scoring models like the Piotroski F-Score and Altman Z-Score are proxies applied to publicly available trailing-twelve-month financial statements and may not account for recent off-balance-sheet events, qualitative company shifts, or sector-specific capital structures. Macroeconomic factor exposures are estimated via multivariate regression against standard market indices. This data is provided for quantitative insight and backtesting research, and should not be misconstrued as tailored financial advice.

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