Burelle SA

10-Year Study

BUR.PA · Consumer Cyclical · FR · Common Stock

Executive Summary: Burelle SA has compounded at -4.1% annually over the last 10 years, with a maximum drawdown of 72.2% and an annualized volatility of 32.5%.

1Y CAGR
+13.7%
3Y CAGR
+0.0%
5Y CAGR
-9.4%
10Y CAGR
-4.1%

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

Max DrawdownMax DrawdownThe largest peak-to-trough decline in the asset's value over the measurement period.Click for full definition →
72.2%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
-0.11
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
-0.19
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
33.4%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2017 · +35.0%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2018 · -36.6%
% Positive Years% Positive YearsThe percentage of calendar years in the measurement period where the asset delivered a positive return.Click for full definition →
30%

Annual Returns

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
2026-0.72.9-14.112.9-1.5-2.4%
20254.15.1-4.6-3.615.3-0.611.4-3.7-0.86.30.21.733.0%
2024-0.30.39.33.5-0.5-16.58.4-4.00.3-4.9-7.8-0.6-14.5%
20239.5-2.30.0-3.4-2.7-4.620.31.9-13.0-12.40.0-3.4-13.4%
2022-3.1-2.9-2.6-9.70.3-8.26.4-0.8-10.4-6.41.99.0-25.1%
202110.66.8-3.8-1.3-8.1-5.8-4.75.0-11.1-1.82.1-3.8-16.8%
2020-8.3-10.7-31.322.6-2.10.4-8.10.411.2-7.958.4-1.5-0.2%
201922.9-2.9-8.07.6-8.91.6-0.2-11.112.7-4.5-1.72.55.2%
20189.80.7-3.9-1.91.9-4.43.10.4-4.2-25.7-5.3-10.6-36.6%
20176.34.411.3-2.01.7-2.05.3-1.310.7-1.8-1.10.135.0%
20160.2-3.68.0-0.1-0.78.1-2.38.518.7%

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.

Risk Profile Insight: This asset has an estimated annualized volatility of 32.5%. The dominant macroeconomic risk driver is SHV.US, accounting for 52.0% of variance. Idiosyncratic stock-specific factors contribute 25.2%.

10-Year Historical Price Series (Growth of $10,000)
DateSimulated Value
2016-04-0110000
2016-05-0110024.690410136456
2016-06-019667.418145854512
2016-07-0110439.062296203423
2016-08-0110429.320180638206
2016-09-0110354.378893719213
2016-10-0111191.222215421902
2016-11-0110935.298161128487
2016-12-0111865.693797692822
2017-01-0112615.105093543661
2017-02-0113164.675579842315
2017-03-0114651.00900595021
2017-04-0114363.734597207103
2017-05-0114601.047623557857
2017-06-0114315.900369246947
2017-07-0115072.689052030166
2017-08-0114884.122790304265
2017-09-0116472.74528316878
2017-10-0116183.274493074083
2017-11-0116006.059872789243
2017-12-0116018.67333217011
2018-01-0117595.313274623662
2018-02-0117721.444721754197
2018-03-0117027.723335875322
2018-04-0116712.394718048985
2018-05-0117027.723335875322
2018-06-0116273.18767465047
2018-07-0116783.71889842979
2018-08-0116847.535104734823
2018-09-0116145.555262040407
2018-10-0111997.487692161734
2018-11-0111359.324055772353
2018-12-0110159.574342552733
2019-01-0112482.493062754675
2019-02-0112125.120104771797
2019-03-0111155.110936924992
2019-04-0111997.487692161734
2019-05-0110925.371964891252
2019-06-0111105.264408285268
2019-07-0111079.134392893291
2019-08-019851.02366947041
2019-09-0111105.264408285268
2019-10-0110608.794115837718
2019-11-0110425.884008093886
2019-12-0110687.184162013647
2020-01-019798.763638686458
2020-02-018753.561449668332
2020-03-016009.908260171755
2020-04-017368.669060554515
2020-05-017211.88896820266
2020-06-017239.1549344082805
2020-07-016649.299101041252
2020-08-016676.110372253599
2020-09-017426.836979572866
2020-10-016836.9795728667605
2020-11-0110831.92191706961
2020-12-0110671.05114311737
2021-01-0111797.141840765813
2021-02-0112601.492563848853
2021-03-0112118.883388670292
2021-04-0111958.012614718053
2021-05-0110992.791117682771
2021-06-0110351.922911419908
2021-07-019860.27490324358
2021-08-0110351.922911419908
2021-09-019204.743176782424
2021-10-019040.861031836674
2021-11-019232.057916499432
2021-12-018876.978886890924
2022-01-018603.840929755288
2022-02-018358.016138997584
2022-03-018139.506087956892
2022-04-017347.406956266996
2022-05-017368.771327594526
2022-06-016764.082053408883
2022-07-017200.019698205245
2022-08-017143.7696795218435
2022-09-016398.455358627696
2022-10-015990.641149833958
2022-11-016103.142760539837
2022-12-016651.58201604208
2023-01-017284.396299569424
2023-02-017115.644670180142
2023-03-017115.644670180142
2023-04-016876.582090775686
2023-05-016689.450714288075
2023-06-016384.062452750661
2023-07-017678.32579100802
2023-08-017823.749521901587
2023-09-016805.789699002928
2023-10-015962.33677983747
2023-11-015962.33677983747
2023-12-015758.7451299255545
2024-01-015744.202756836197
2024-02-015758.7451299255545
2024-03-016296.809787553597
2024-04-016514.943810554871
2024-05-016483.184387945138
2024-06-015412.704933314809
2024-07-015867.036485261196
2024-08-015634.832090893686
2024-09-015650.312174072977
2024-10-015371.6659568285195
2024-11-014953.697417631372
2024-12-014922.737251272792
2025-01-015123.98147928172
2025-02-015387.1460400078095
2025-03-015139.46156246101
2025-04-014953.697417631372
2025-05-015711.220849763582
2025-06-015679.754068222185
2025-07-016324.823089820826
2025-08-016088.822228260347
2025-09-016041.622055948252
2025-10-016419.223434445017
2025-11-016434.956825215716
2025-12-016545.090560610606
2026-01-016497.8903882985105
2026-02-016686.691077546893
2026-03-015742.687631304979
2026-04-016482.156997527812
2026-05-016387.75665290362
Annual Return Matrix
YearAnnual Return
20170.3499988795669746
2018-0.3657668065338856
20190.05193227606505668
2020-0.0015095668467675072
2021-0.16812516706787528
2022-0.2506930453710099
2023-0.13422925312552858
2024-0.1451718837682906
20250.32956325445124035
2026-0.024038461538461564
Total Factor Risk
0.32530308032789856
VTI.US Exposure
0.0320328921551918
VEA.US Exposure
0.17842591545623207
VWO.US Exposure
0.05031436341608035
QQQ.US Exposure
0.011714399538958638
VTV.US Exposure
0.0009829587005173903
IJR.US Exposure
-0.01770268502387126
QUAL.US Exposure
-0.021962256977163554
SHV.US Exposure
0.5203446534230641
TLT.US Exposure
0.009604930044465195
LQD.US Exposure
0.00042822716466552237
HYG.US Exposure
0.00016687695467157318
GLD.US Exposure
-0.0017942860617281898
USO.US Exposure
0.002189285303059336
VNQ.US Exposure
0.006378496794982497
BTC-USD.CC Exposure
0.006986107638699911
CPER.US Exposure
0.0033556494178124665
VIX.INDX Exposure
-0.033317470891341204
UUP.US Exposure
-0.002953046737376161
TIP.US Exposure
0.0026156596124854437
Idiosyncratic Exposure
0.25218933007059396
Value Score
46.7
Growth Score
48.1
Profit Score
41.7
Health Score
47.4
Yield Score
49.8
Moat Score
63.2

Factor Risk Decomposition

Share of annualised volatility attributable to each macro factor.

Total Est. Vol
32.5%

FundamentalsiCompany financial health metrics: P/E valuation, dividend yield, Piotroski F-Score (9-point profitability signal), Altman Z-Score (bankruptcy risk proxy), and a radar chart across 6 fundamental dimensions. Note: ETFs may show N/A for some metrics.

Fundamental Dimensions

Core Valuation

P/E Ratio (TTM)P/E RatioPrice-to-Earnings ratio — the market price of a stock divided by its earnings per share, a key valuation measure.Click for full definition →5.9x
Forward P/EForward P/E RatioA valuation metric that compares the current stock price to estimated future earnings per share.Click for full definition →Fairly Valued15.8x
Dividend YieldDividend YieldAnnual dividend paid per share divided by the current share price — expressed as a percentage income return.Click for full definition →4.15%
Squeeze RiskShort Squeeze RiskA situation where a sharp rise in the price of a stock forces short sellers to buy shares to cover their positions, further driving up the price.Click for full definition →Extreme
Market Cap$722.2M
Piotroski F-ScorePiotroski F-ScoreA 9-point scoring system evaluating a company's financial strength across profitability, leverage, and operating efficiency.Click for full definition →
9-point profitability signal
2.0/ 9
Weak
Altman Z-ScoreAltman Z-ScoreA bankruptcy prediction model that combines 5 financial ratios into a single score indicating financial distress risk.Click for full definition →
Bankruptcy risk proxy
2.37
Grey Zone
Income Simulation

Based on $10,000 initial investment.

Total Income Generated
$0
Avg Yield on Cost
0.00%

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 →
-0.1%
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 →
+1.6%
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 →
7.7% 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 →
0.68
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 →
64
OversoldNeutralOverbought
Neutral
Fibonacci LevelsFibonacci RetracementTechnical levels based on mathematical ratios that indicate potential support and resistance areas.Click for full definition →
38.2% retracement+4.9%
50.0% retracement+9.6%
61.8% retracement+14.6%
% distance of current price from each 52-week Fibonacci support level.

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

Frequently Asked Questions & Methodology

Is Burelle SA a high-risk investment?

Burelle SA (BUR.PA) has an annualized volatility of 32.5% and experienced a maximum drawdown of 72.2% over the last 10 years. Its primary macro risk driver is SHV.US.

What is the 10-year return of BUR.PA?

Over the past 10 years, BUR.PA has generated a Compound Annual Growth Rate (CAGR) of -4.1%. It has had a positive return in 30% of the years measured.

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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