L'Oréal S.A. (LOR.XETRA)

10-Year Study

LOR.XETRA · Consumer Defensive · Common Stock

About L'Oréal S.A. (LOR.XETRA)

Consumer Defensive

L'Oréal S.A., through its subsidiaries, manufactures and sells cosmetic products for women and men in Europe, North America, North Asia, South Asia Pacific, the Middle East, North Africa, Sub-Saharan Africa, and Latin America. The company operates through four divisions: Professional Products, Consumer Products, Luxe, and Dermatological Beauty....

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

Fundamental Snapshot

L'Oréal S.A. (LOR.XETRA) operates in the Consumer Defensive market. Detailed fundamentals are summarized below as reported in trailing financial disclosures.

Executive Summary: L'Oréal S.A. has compounded at 12.0% annually over the last 10 years, with a maximum drawdown of 27.3% and an annualized volatility of 70.6%.

1Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+26.0%
3Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+1.2%
5Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+2.7%
10Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+12.0%

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
2016-10-01$10,000
2016-11-01$9,927
2016-12-01$10,579
2017-01-01$10,349
2017-02-01$10,680
2017-03-01$10,992
2017-04-01$11,450
2017-05-01$11,902
2017-06-01$11,481
2017-07-01$10,923
2017-08-01$11,085
2017-09-01$11,319
2017-10-01$11,814
2017-11-01$11,783
2017-12-01$11,574
2018-01-01$11,490
2018-02-01$11,188
2018-03-01$11,434
2018-04-01$12,518
2018-05-01$13,071
2018-06-01$13,445
2018-07-01$13,312
2018-08-01$13,128
2018-09-01$13,198
2018-10-01$12,638
2018-11-01$13,210
2018-12-01$12,613
2019-01-01$13,344
2019-02-01$14,100
2019-03-01$15,237
2019-04-01$15,817
2019-05-01$15,527
2019-06-01$16,173
2019-07-01$15,624
2019-08-01$16,050
2019-09-01$16,592
2019-10-01$16,909
2019-11-01$16,708
2019-12-01$17,147
2020-01-01$16,276
2020-02-01$15,540
2020-03-01$15,385
2020-04-01$17,416
2020-05-01$17,166
2020-06-01$18,769
2020-07-01$18,803
2020-08-01$18,437
2020-09-01$18,477
2020-10-01$18,490
2020-11-01$20,440
2020-12-01$20,766
2021-01-01$19,295
2021-02-01$20,174
2021-03-01$21,771
2021-04-01$23,015
2021-05-01$24,810
2021-06-01$25,318
2021-07-01$25,981
2021-08-01$26,692
2021-09-01$24,066
2021-10-01$26,594
2021-11-01$26,796
2021-12-01$28,409
2022-01-01$25,365
2022-02-01$23,931
2022-03-01$24,500
2022-04-01$23,859
2022-05-01$22,451
2022-06-01$22,489
2022-07-01$25,153
2022-08-01$23,616
2022-09-01$22,557
2022-10-01$21,738
2022-11-01$24,108
2022-12-01$22,967
2023-01-01$25,830
2023-02-01$25,621
2023-03-01$28,299
2023-04-01$29,736
2023-05-01$27,790
2023-06-01$29,660
2023-07-01$29,314
2023-08-01$28,115
2023-09-01$27,235
2023-10-01$27,426
2023-11-01$29,861
2023-12-01$31,326
2024-01-01$30,810
2024-02-01$30,595
2024-03-01$30,394
2024-04-01$30,768
2024-05-01$31,788
2024-06-01$28,826
2024-07-01$28,172
2024-08-01$27,908
2024-09-01$28,285
2024-10-01$24,212
2024-11-01$23,107
2024-12-01$24,018
2025-01-01$25,098
2025-02-01$24,827
2025-03-01$24,106
2025-04-01$27,205
2025-05-01$26,659
2025-06-01$26,008
2025-07-01$27,787
2025-08-01$28,496
2025-09-01$26,366
2025-10-01$25,965
2025-11-01$26,903
2025-12-01$26,233
2026-01-01$27,719
2026-02-01$28,446
2026-03-01$25,023
2026-04-01$26,137
2026-05-01$27,411
2026-06-01$27,479
2026-07-01$27,716
2026-08-01$27,547
2026-09-01$27,175
2026-10-01$31,275
2026-11-01$32,420
Max DrawdownMax DrawdownThe largest peak-to-trough decline in the asset's value over the measurement period.Click for full definition →
27.3%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
0.52
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
0.90
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
18.8%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2021 · +36.8%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2024 · -23.3%
% Positive Years% Positive YearsThe percentage of calendar years in the measurement period where the asset delivered a positive return.Click for full definition →
80%

Annual Returns

View full annual returns data
YearReturn
20179.4%
20189.0%
201936.0%
202021.1%
202136.8%
2022-19.2%
202336.4%
2024-23.3%
20259.2%
202623.6%

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
20265.72.6-12.04.44.90.20.9-0.6-1.415.13.7—23.6%
20254.5-1.1-2.912.9-2.0-2.46.82.6-7.5-1.53.6-2.59.2%
2024-1.6-0.7-0.71.23.3-9.3-2.3-0.91.3-14.4-4.63.9-23.3%
202312.5-0.810.55.1-6.56.7-1.2-4.1-3.10.78.94.936.4%
2022-10.7-5.72.4-2.6-5.90.211.8-6.1-4.5-3.610.9-4.7-19.2%
2021-7.14.67.95.77.82.02.62.7-9.810.50.86.036.8%
2020-5.1-4.5-1.013.2-1.49.30.2-1.90.20.110.51.621.1%
20195.85.78.13.8-1.84.2-3.42.73.41.9-1.22.636.0%
2018-0.7-2.62.29.54.42.9-1.0-1.40.5-4.24.5-4.59.0%
2017-2.23.22.94.23.9-3.5-4.91.52.14.4-0.3-1.89.4%
2016——————————-0.76.65.8%

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
70.6%
View full factor risk breakdown
FactorRisk Exposure
VTI.US-2.8%
VEA.US5.7%
VWO.US0.6%
QQQ.US-0.4%
VTV.US-1.1%
IJR.US0.6%
QUAL.US7.0%
SHV.US76.1%
TLT.US-1.6%
LQD.US10.1%
HYG.US-0.7%
GLD.US-0.1%
USO.US0.3%
VNQ.US0.2%
BTC-USD.CC0.4%
CPER.US0.1%
VIX.INDX-0.5%
UUP.US0.0%
TIP.US1.1%
Idiosyncratic5.0%

L'Oréal S.A. Business Fundamentals

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

Valuation Multiples

P/E Ratio (TTM)
34.72x
81st pct of 70 Consumer Defensive peers · median 18.68x

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
$516
Avg Yield on Cost
5.16%
Annual Income Simulation Table
Historical Realised Yields
YearAnnual PayoutYield on CostQuality
2026$515.575.16%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 →
+14.5%
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 →
+19.2%
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 →
0.0% 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 →
0.89
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 →
✦ Golden Cross
Bullish — 50 SMA above 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 →
76
OversoldNeutralOverbought
Overbought
Fibonacci LevelsFibonacci RetracementTechnical levels based on mathematical ratios that indicate potential support and resistance areas.Click for full definition →
38.2% retracement+10.0%
50.0% retracement+13.5%
61.8% retracement+17.3%
% distance of current price from each 52-week Fibonacci support level.

In-Depth Analysis

LOR.XETRA — 10-Year Return & Risk Profile

L'Oréal S.A. (LOR.XETRA) has delivered solid annualized growth of 12.0% over the last 10 years. A $10,000 investment at the start of the period would have grown to approximately $30,937, representing a total return of 209%. Over this period, LOR.XETRA generated positive annual returns in 8 out of 10 calendar years (80%).

The best single calendar year for LOR.XETRA was 2021, with a return of +36.8%. The worst year was 2024, when the asset declined 23.3%. 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 0.52 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.

LOR.XETRA — Drawdown, Volatility & Downside Risk

LOR.XETRA's annualized volatility of 18.8% is classified as moderate relative to the long-run US equity benchmark of approximately 15%. This above-average volatility means investors in LOR.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 27.3% — a significant bear-market drawdown. 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 27% drawdown, for example, requires a 38% gain just to break even.

When evaluating LOR.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.

LOR.XETRA — Macroeconomic Factor Risk Exposure

The macroeconomic factor model attributes 76.1% of LOR.XETRA's return variance to Short-Term Interest Rates. This means that when Short-Term Interest Rates rises or falls sharply, LOR.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 LOR.XETRA allocation.

The second-largest macro driver is Investment-Grade Corporate Credit, contributing 10.1% of variance. 5.0% of LOR.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 LOR.XETRA's factor exposures helps assess its marginal contribution to overall portfolio risk. Adding LOR.XETRA alongside assets with low correlation to Short-Term Interest Rates — 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 L'Oréal S.A. a high-risk investment?

L'Oréal S.A. (LOR.XETRA) has an annualized volatility of 70.6% and experienced a maximum drawdown of 27.3% over the last 10 years. Its primary macro risk driver is SHV.US.

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

Over the past 10 years, LOR.XETRA has generated a Compound Annual Growth Rate (CAGR) of 12.0%. A $10,000 investment would have grown to approximately $30,937. It has had a positive return in 80% of calendar years.

What is LOR.XETRA's Sharpe ratio?

LOR.XETRA has a Sharpe ratio of 0.52 and a Sortino ratio of 0.90 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 LOR.XETRA's dividend yield?

LOR.XETRA has an average trailing dividend yield of 1.81%. On a $10,000 initial investment, it generated approximately $516 in cumulative income over the study period. All return metrics on this page use total return (dividends reinvested).

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

LOR.XETRA is currently above its 200-day moving average by 19.2%. The current trend signal is: Bullish — 50 SMA above 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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