Europlasma SA

10-Year Study

ALEUP.PA · Industrials · FR · Common Stock

Executive Summary: Europlasma SA has compounded at -83.1% annually over the last 10 years, with a maximum drawdown of 100.0% and an annualized volatility of 320.7%.

1Y CAGR
-99.9%
3Y CAGR
-99.8%
5Y CAGR
-97.2%
10Y CAGR
-83.1%

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 →
100.0%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
3599.79
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
338121.28
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
6358.4%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2020 · +719.7%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2024 · -99.9%
% Positive Years% Positive YearsThe percentage of calendar years in the measurement period where the asset delivered a positive return.Click for full definition →
10%

Annual Returns

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
2026-72.8-43.1-50.825.0————————-90.5%
2025-57.3-47.187.7-7.2-37.6-34.1-25.9-55.8-68.4-51.9-18.8-60.6-99.7%
2024-56.6-39.1-42.9-75.052.5-67.1-34.3-36.2-38.4-46.035.7-62.3-99.9%
20230.00.00.00.00.00.00.0-35.9-79.3-52.8132.0-54.3-93.4%
20220.00.00.0-11.5-46.9-70.2-53.6-30.8-44.4-40.0-66.719900.0-0.0%
20210.00.00.00.00.00.00.00.00.00.00.00.00.0%
2020-59.00.0-56.00.0-9.140.03471.40.00.00.00.00.0719.7%
2019-22.015.1-8.00.00.0-10.4-3.28.4-41.5-49.3-27.8-26.5-87.8%
20180.00.00.00.00.00.00.00.00.00.00.00.00.0%
20170.00.00.00.00.00.00.00.00.00.00.00.00.0%
2016———0.00.00.00.00.00.00.00.00.00.0%

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 320.7%. The dominant macroeconomic risk driver is QQQ.US, accounting for 9.8% of variance. Idiosyncratic stock-specific factors contribute 52.0%.

10-Year Historical Price Series (Growth of $10,000)
DateSimulated Value
2016-03-0110000
2016-04-0110000
2016-05-0110000
2016-06-0110000
2016-07-0110000
2016-08-0110000
2016-09-0110000
2016-10-0110000
2016-11-0110000
2016-12-0110000
2017-01-0110000
2017-02-0110000
2017-03-0110000
2017-04-0110000
2017-05-0110000
2017-06-0110000
2017-07-0110000
2017-08-0110000
2017-09-0110000
2017-10-0110000
2017-11-0110000
2017-12-0110000
2018-01-0110000
2018-02-0110000
2018-03-0110000
2018-04-0110000
2018-05-0110000
2018-06-0110000
2018-07-0110000
2018-08-0110000
2018-09-0110000
2018-10-0110000
2018-11-0110000
2018-12-0110000
2019-01-017800.00000078
2019-02-018980.000000898
2019-03-018260.000000826
2019-04-018260.000000826
2019-05-018260.000000826
2019-06-017400.000000739999
2019-07-017160.000000715999
2019-08-017760.000000775999
2019-09-014540.000000454
2019-10-012300.00000023
2019-11-011660.0000001659998
2019-12-011220.0000001219998
2020-01-01500.00000005
2020-02-01500.00000005
2020-03-01220.000000022
2020-04-01220.000000022
2020-05-01200.00000002
2020-06-01280.000000028
2020-07-0110000
2020-08-0110000
2020-09-0110000
2020-10-0110000
2020-11-0110000
2020-12-0110000
2021-01-0110000
2021-02-0110000
2021-03-0110000
2021-04-0110000
2021-05-0110000
2021-06-0110000
2021-07-0110000
2021-08-0110000
2021-09-0110000
2021-10-0110000
2021-11-0110000
2021-12-0110000
2022-01-0110000
2022-02-0110000
2022-03-0110000
2022-04-018850.000000885
2022-05-014700.00000047
2022-06-011400.0000001399999
2022-07-01650.000000065
2022-08-01450.000000045
2022-09-01250.000000025
2022-10-01150.00000001499998
2022-11-0150.000000005
2022-12-0110000
2023-01-0110000
2023-02-0110000
2023-03-0110000
2023-04-0110000
2023-05-0110000
2023-06-0110000
2023-07-0110000
2023-08-016412.500000641249
2023-09-011325.0000001325
2023-10-01625.0000000625
2023-11-011450.000000145
2023-12-01662.50000006625
2024-01-01287.50000002875
2024-02-01175.00000001749999
2024-03-01100.00000001
2024-04-0125.0000000025
2024-05-0138.120000003811995
2024-06-0112.550000001254999
2024-07-018.250000000825
2024-08-015.2600000005259995
2024-09-013.2400000003239997
2024-10-011.750000000175
2024-11-012.3750000002375
2024-12-010.8950000000895
2025-01-010.38250000003824997
2025-02-010.20250000002024998
2025-03-010.38000000003799994
2025-04-010.35250000003524995
2025-05-010.220000000022
2025-06-010.14500000001449997
2025-07-010.10750000001074998
2025-08-010.04750000000474999
2025-09-010.015000000001499997
2025-10-010.007210000000720999
2025-11-010.005857000000585699
2025-12-010.002310000000231
2026-01-010.0006290000000628999
2026-02-010.00035800000003579995
2026-03-010.0001760000000176
2026-04-010.000220000000022
Annual Return Matrix
YearAnnual Return
20170
20180
2019-0.8779999999878
20207.196721310655738
20210
20220
2023-0.933749999993375
2024-0.9986490566037736
2025-0.9974189944134079
2026-0.9047619047619048
Total Factor Risk
3.2069382535088966
VTI.US Exposure
-0.003604227383957229
VEA.US Exposure
0.0004332684513590668
VWO.US Exposure
0.0020287923748433453
QQQ.US Exposure
0.09836888851998637
VTV.US Exposure
0.08615576142829326
IJR.US Exposure
0.003877962733788384
QUAL.US Exposure
0.05852198081943362
SHV.US Exposure
0.020206335312267645
TLT.US Exposure
-0.005792941538428697
LQD.US Exposure
0.09472824645640084
HYG.US Exposure
0.0010872175455563528
GLD.US Exposure
0.00032922967099554916
USO.US Exposure
0.006903047337570368
VNQ.US Exposure
0.00005431117385934111
BTC-USD.CC Exposure
0.004071328574454312
CPER.US Exposure
0.0037544857836727197
VIX.INDX Exposure
0.02109437935024698
UUP.US Exposure
0.08760541694311241
TIP.US Exposure
0.000017561100141774657
Idiosyncratic Exposure
0.5201589553464036
Value Score
50
Growth Score
50
Profit Score
37.5
Health Score
23.6
Yield Score
0
Moat Score
40

Factor Risk Decomposition

Share of annualised volatility attributable to each macro factor.

Total Est. Vol
320.7%

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 →N/A
Dividend YieldDividend YieldAnnual dividend paid per share divided by the current share price — expressed as a percentage income return.Click for full definition →0.00%
Market Cap$744716
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
0.0/ 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
1.18
Distress Zone
Income Simulation

Based on $10,000 initial investment.

Total Income Generated
$0
Avg Yield on Cost
0.00%

Momentum & MacroiPrice momentum indicators relative to key technical levels: distance from 50-Day SMA (intermediate trend), 200-Day SMA (long-term trend), 52-Week High (bullish proximity), and Beta (market sensitivity coefficient).

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 →
-26.3%
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 →
-99.1%
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 →
99.9% 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 →
-77.49
Market sensitivity coefficient

Frequently Asked Questions & Methodology

Is Europlasma SA a high-risk investment?

Europlasma SA (ALEUP.PA) has an annualized volatility of 320.7% and experienced a maximum drawdown of 100.0% over the last 10 years. Its primary macro risk driver is QQQ.US.

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

Over the past 10 years, ALEUP.PA has generated a Compound Annual Growth Rate (CAGR) of -83.1%. It has had a positive return in 10% 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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