Hermès International Société en commandite par actions (HMI.XETRA)

10-Year Study

HMI.XETRA · Consumer Cyclical · Common Stock

About Hermès International Société en commandite par actions (HMI.XETRA)

Consumer Cyclical

Hermès International Société en commandite par actions engages in the production, wholesale, and retail of various goods. The company offers leather goods and saddlery, such as bags for men and women, travel articles, small leather goods and accessories, saddles, bridles, and a various equestrian products and clothing; ready-to-wear garments for men and women; and accessories, including jewelry, belts, hats, gloves, internet of things products, and shoes....

Source: EODHD Financial Datasets
Fundamentals updated: Feb 27, 2026

Fundamental Snapshot

Hermès International Société en commandite par actions (HMI.XETRA) operates in the Consumer Cyclical market. Detailed fundamentals are summarized below as reported in trailing financial disclosures.

Executive Summary: Hermès International Société en commandite par actions has compounded at 70.0% annually over the last 10 years, with a maximum drawdown of 100.0% and an annualized volatility of 1255.5%.

1Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
-26.5%
3Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
-2.5%
5Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+6.5%
10Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+70.0%

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
2019-08-01$10,000
2020-06-01$9,209
2020-07-01$8,465
2020-08-01$8,804
2020-09-01$8,206
2020-10-01$200,819
2020-11-01$204,685
2020-12-01$223,412
2021-01-01$213,320
2021-02-01$234,306
2021-03-01$238,104
2021-04-01$262,744
2021-05-01$290,975
2021-06-01$310,642
2021-07-01$325,014
2021-08-01$314,298
2021-09-01$301,061
2021-10-01$345,312
2021-11-01$418,056
2021-12-01$3,125
2022-01-01$331,948
2022-02-01$314,323
2022-03-01$325,314
2022-04-01$300,885
2022-05-01$280,834
2022-06-01$271,316
2022-07-01$336,671
2022-08-01$334,767
2022-09-01$308,879
2022-10-01$331,849
2022-11-01$386,797
2022-12-01$368,904
2023-01-01$435,147
2023-02-01$436,404
2023-03-01$474,933
2023-04-01$501,172
2023-05-01$490,543
2023-06-01$505,925
2023-07-01$516,656
2023-08-01$486,914
2023-09-01$441,688
2023-10-01$450,988
2023-11-01$485,994
2023-12-01$490,696
2024-01-01$502,347
2024-02-01$592,723
2024-03-01$604,368
2024-04-01$582,486
2024-05-01$560,223
2024-06-01$554,539
2024-07-01$522,755
2024-08-01$560,482
2024-09-01$570,818
2024-10-01$536,192
2024-11-01$533,866
2024-12-01$62
2025-01-01$702,605
2025-02-01$707,095
2025-03-01$622,233
2025-04-01$617,058
2025-05-01$634,267
2025-06-01$604,238
2025-07-01$563,242
2025-08-01$551,753
2025-09-01$543,397
2025-10-01$560,370
2025-11-01$549,664
2025-12-01$91
2026-01-01$532,429
2026-02-01$547,027
2026-03-01$424,273
2026-04-01$424,665
2026-05-01$429,115
2026-06-01$417,860
2026-07-01$400,978
2026-08-01$410,008
Max DrawdownMax DrawdownThe largest peak-to-trough decline in the asset's value over the measurement period.Click for full definition →
100.0%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
4.797809235207128e+24
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
2.593192655203088e+28
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
508137.2%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2026 · +449655.9%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2024 · -100.0%
% Positive Years% Positive YearsThe percentage of calendar years in the measurement period where the asset delivered a positive return.Click for full definition →
71%

Annual Returns

View full annual returns data
YearReturn
20202134.1%
2021-98.6%
202211704.5%
202333.0%
2024-100.0%
202547.4%
2026449655.9%

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
2026583945.12.7-22.40.11.0-2.6-4.02.3449655.9%
20251136303.20.6-12.0-0.82.8-4.7-6.8-2.0-1.53.1-1.9-100.047.4%
20242.418.02.0-3.6-3.8-1.0-5.77.21.8-6.1-0.4-100.0-100.0%
202318.00.38.85.5-2.13.12.1-5.8-9.32.17.81.033.0%
202210521.9-5.33.5-7.5-6.7-3.424.1-0.6-7.77.416.6-4.611704.5%
2021-4.59.81.610.310.76.84.6-3.3-4.214.721.1-99.3-98.6%
2020-7.9-8.14.0-6.82347.31.99.12134.1%

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
1255.5%
View full factor risk breakdown
FactorRisk Exposure
VTI.US15.0%
VEA.US0.5%
VWO.US1.6%
QQQ.US12.4%
VTV.US8.1%
IJR.US2.8%
QUAL.US3.9%
SHV.US12.9%
TLT.US1.1%
LQD.US-0.1%
HYG.US0.8%
GLD.US2.0%
USO.US0.7%
VNQ.US0.8%
BTC-USD.CC2.1%
CPER.US0.8%
VIX.INDX-0.1%
UUP.US0.1%
TIP.US0.3%
Idiosyncratic34.2%

Hermès International Société en commandite par actions Business Fundamentals

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

Valuation Multiples

P/E Ratio (TTM)
47.80x
89th pct of 144 Consumer Cyclical peers · median 20.50x

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
$4,711
Avg Yield on Cost
47.11%
Annual Income Simulation Table
Historical Realised Yields
YearAnnual PayoutYield on CostQuality
2026$4,711.2347.11%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 →
-4.4%
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 →
-15.2%
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 →
29.8% 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 →
0.96
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 →
42
OversoldNeutralOverbought
Neutral
Fibonacci LevelsFibonacci RetracementTechnical levels based on mathematical ratios that indicate potential support and resistance areas.Click for full definition →
38.2% retracement+13.5%
50.0% retracement+40.3%
61.8% retracement+83.6%
% distance of current price from each 52-week Fibonacci support level.

In-Depth Analysis

HMI.XETRA — 10-Year Return & Risk Profile

Hermès International Société en commandite par actions (HMI.XETRA) has delivered exceptional annualized growth of 70.0% over the last 10 years. A $10,000 investment at the start of the period would have grown to approximately $2,012,631, representing a total return of 20026%. Over this period, HMI.XETRA generated positive annual returns in 7 out of 10 calendar years (71%).

The best single calendar year for HMI.XETRA was 2026, with a return of +449655.9%. The worst year was 2024, when the asset declined 100.0%. 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 4.797809235207128e+24 is considered excellent 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.

HMI.XETRA — Drawdown, Volatility & Downside Risk

HMI.XETRA's annualized volatility of 508137.2% is classified as high relative to the long-run US equity benchmark of approximately 15%. This above-average volatility means investors in HMI.XETRA 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 100.0% — a catastrophic peak-to-trough decline. 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 100% drawdown, for example, requires a 977413% gain just to break even.

When evaluating HMI.XETRA 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.

HMI.XETRA — Macroeconomic Factor Risk Exposure

The macroeconomic factor model attributes 15.0% of HMI.XETRA's return variance to US Equity (broad market). This means that when US Equity (broad market) rises or falls sharply, HMI.XETRA 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 HMI.XETRA allocation.

The second-largest macro driver is Short-Term Interest Rates, contributing 12.9% of variance. 34.2% of HMI.XETRA'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 HMI.XETRA's factor exposures helps assess its marginal contribution to overall portfolio risk. Adding HMI.XETRA 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 Hermès International Société en commandite par actions a high-risk investment?

Hermès International Société en commandite par actions (HMI.XETRA) has an annualized volatility of 1255.5% and experienced a maximum drawdown of 100.0% over the last 10 years. Its primary macro risk driver is VTI.US.

What is the 10-year return of HMI.XETRA?

Over the past 10 years, HMI.XETRA has generated a Compound Annual Growth Rate (CAGR) of 70.0%. A $10,000 investment would have grown to approximately $2,012,631. It has had a positive return in 71% of calendar years.

What is HMI.XETRA's Sharpe ratio?

HMI.XETRA has a Sharpe ratio of 4.797809235207128e+24 and a Sortino ratio of 2.593192655203088e+28 over the 10-year period. The Sharpe ratio measures risk-adjusted return — how much excess return is earned per unit of volatility. A reading of 4.797809235207128e+24 indicates efficient return generation relative to risk taken.

What is HMI.XETRA's dividend yield?

HMI.XETRA has an average trailing dividend yield of 0.87%. On a $10,000 initial investment, it generated approximately $4,711 in cumulative income over the study period. All return metrics on this page use total return (dividends reinvested).

Is HMI.XETRA above its 200-day moving average?

HMI.XETRA is currently below its 200-day moving average by 15.2%. 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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