Entreparticuli (ALENT.PA)

10-Year Study

ALENT.PA · Communication Services · Common Stock

About Entreparticuli (ALENT.PA)

Communication Services

Ethero operates a search engine for real estate ads in France. The company was founded in 2000 and is based in Paris, France.

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

Fundamental Snapshot

Entreparticuli (ALENT.PA) reports a gross margin of 55.0% and an operating margin of -243.5%. Quarterly revenue changed -12.4% year-over-year. Financially, its return on equity is -153.0%, current ratio stands at 4.47x, debt-to-equity ratio is 3.43x.

Executive Summary: Entreparticuli has compounded at -3.0% annually over the last 10 years, with a maximum drawdown of 98.4% and an annualized volatility of 204.3%.

1Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
-51.6%
3Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
-3.2%
5Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
-32.3%
10Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
-3.0%

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
2019-04-01$10,000
2019-05-01$8,783
2019-06-01$8,254
2019-07-01$10,476
2019-08-01$9,259
2019-09-01$10,053
2019-10-01$9,524
2019-11-01$10,053
2019-12-01$10,265
2020-01-01$10,000
2020-02-01$10,053
2020-03-01$9,471
2020-04-01$8,730
2020-05-01$8,360
2020-06-01$8,307
2020-07-01$7,989
2020-08-01$7,989
2020-09-01$7,937
2020-10-01$6,984
2020-11-01$7,407
2020-12-01$7,672
2021-01-01$80,423
2021-02-01$152,381
2021-03-01$266,667
2021-04-01$132,275
2021-05-01$62,963
2021-06-01$57,672
2021-07-01$41,270
2021-08-01$83,598
2021-09-01$71,958
2021-10-01$67,725
2021-11-01$53,968
2021-12-01$44,021
2022-01-01$41,693
2022-02-01$34,497
2022-03-01$35,344
2022-04-01$31,270
2022-05-01$25,661
2022-06-01$20,635
2022-07-01$21,587
2022-08-01$40,635
2022-09-01$24,921
2022-10-01$21,958
2022-11-01$26,455
2022-12-01$23,386
2023-01-01$23,968
2023-02-01$22,487
2023-03-01$21,164
2023-04-01$19,153
2023-05-01$19,048
2023-06-01$17,937
2023-07-01$14,127
2023-08-01$13,333
2023-09-01$11,323
2023-10-01$10,053
2023-11-01$8,720
2023-12-01$8,593
2024-01-01$8,783
2024-02-01$8,571
2024-03-01$8,148
2024-04-01$7,090
2024-05-01$6,349
2024-06-01$5,312
2024-07-01$6,857
2024-08-01$5,735
2024-09-01$5,905
2024-10-01$5,291
2024-11-01$4,381
2024-12-01$5,079
2025-01-01$5,376
2025-02-01$7,323
2025-03-01$7,153
2025-04-01$7,408
2025-05-01$64,762
2025-06-01$64,339
2025-07-01$57,566
2025-08-01$50,582
2025-09-01$27,513
2025-10-01$25,397
2025-11-01$15,397
2025-12-01$14,021
2026-01-01$13,757
2026-02-01$11,852
2026-03-01$10,582
2026-04-01$9,735
2026-05-01$7,852
2026-06-01$6,455
2026-07-01$4,952
2026-08-01$6,265
2026-09-01$7,937
2026-10-01$7,937
Max DrawdownMax DrawdownThe largest peak-to-trough decline in the asset's value over the measurement period.Click for full definition →
98.4%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
1.16
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
13.22
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
454.1%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2021 · +473.8%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2023 · -63.3%
% Positive Years% Positive YearsThe percentage of calendar years in the measurement period where the asset delivered a positive return.Click for full definition →
29%

Annual Returns

View full annual returns data
YearReturn
2020-25.3%
2021473.8%
2022-46.9%
2023-63.3%
2024-40.9%
2025176.0%
2026-43.4%

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
2026-1.9-13.8-10.7-8.0-19.3-17.8-23.326.526.70.0——-43.4%
20255.836.2-2.33.6774.2-0.7-10.5-12.1-45.6-7.7-39.4-8.9176.0%
20242.2-2.4-4.9-13.0-10.4-16.329.1-16.43.0-10.4-17.215.9-40.9%
20232.5-6.2-5.9-9.5-0.6-5.8-21.2-5.6-15.1-11.2-13.3-1.5-63.3%
2022-5.3-17.32.5-11.5-17.9-19.64.688.2-38.7-11.920.5-11.6-46.9%
2021948.389.575.0-50.4-52.4-8.4-28.4102.6-13.9-5.9-20.3-18.4473.8%
2020-2.60.5-5.8-7.8-4.2-0.6-3.80.0-0.7-12.06.13.6-25.3%
2019————-12.2-6.026.9-11.68.6-5.35.62.12.6%

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
204.3%
View full factor risk breakdown
FactorRisk Exposure
VTI.US38.1%
VEA.US5.0%
VWO.US-0.7%
QQQ.US-1.9%
VTV.US1.2%
IJR.US-0.4%
QUAL.US0.6%
SHV.US2.6%
TLT.US2.0%
LQD.US13.7%
HYG.US4.4%
GLD.US1.0%
USO.US0.1%
VNQ.US-0.2%
BTC-USD.CC-0.0%
CPER.US0.6%
VIX.INDX-0.6%
UUP.US0.0%
TIP.US7.3%
Idiosyncratic27.3%

Entreparticuli Business Fundamentals

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

Valuation Multiples

Price-to-Sales (P/S)
5.74x
79th pct of 68 Communication Services peers · median 1.10x
Price-to-Book (P/B)
2.14x
46th pct of 68 Communication Services peers · median 2.16x

Profitability & Margins

Gross Margin (TTM)
55.0%
54th pct of 68 Communication Services peers · median 52.9%
Operating Margin (TTM)
-243.5%
4th pct of 68 Communication Services peers · median 17.6%
Return on Equity (ROE)
-153.0%
5th pct of 68 Communication Services peers · median 11.7%

Year-over-Year Growth

Revenue Growth (YoY)
-12.4%
7th pct of 68 Communication Services peers · median +6.5%

Financial Position

Debt-to-Equity
3.43x
92nd pct of 59 Communication Services peers · median 0.60x
Current Ratio
4.47x
96th pct of 66 Communication Services peers · median 1.17x

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
$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 →
+30.5%
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 →
-15.3%
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 →
76.5% 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 →
2.64
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 →
58
OversoldNeutralOverbought
Neutral
Fibonacci LevelsFibonacci RetracementTechnical levels based on mathematical ratios that indicate potential support and resistance areas.Click for full definition →
38.2% retracement-64.9%
50.0% retracement-58.6%
61.8% retracement-49.5%
% distance of current price from each 52-week Fibonacci support level.

In-Depth Analysis

ALENT.PA — 10-Year Return & Risk Profile

Entreparticuli (ALENT.PA) has delivered negative annualized growth of 3.0% over the last 10 years. A $10,000 investment at the start of the period would have grown to approximately $7,349, representing a total return of 27%. Over this period, ALENT.PA generated positive annual returns in 3 out of 10 calendar years (29%).

The best single calendar year for ALENT.PA was 2021, with a return of +473.8%. The worst year was 2023, when the asset declined 63.3%. 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 1.16 is considered strong 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.

ALENT.PA — Drawdown, Volatility & Downside Risk

ALENT.PA's annualized volatility of 454.1% is classified as high relative to the long-run US equity benchmark of approximately 15%. This above-average volatility means investors in ALENT.PA 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 98.4% — 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 98% drawdown, for example, requires a 5987% gain just to break even.

When evaluating ALENT.PA 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.

ALENT.PA — Macroeconomic Factor Risk Exposure

The macroeconomic factor model attributes 38.1% of ALENT.PA's return variance to US Equity (broad market). This means that when US Equity (broad market) rises or falls sharply, ALENT.PA 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 ALENT.PA allocation.

The second-largest macro driver is Investment-Grade Corporate Credit, contributing 13.7% of variance. 27.3% of ALENT.PA'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 ALENT.PA's factor exposures helps assess its marginal contribution to overall portfolio risk. Adding ALENT.PA 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 Entreparticuli a high-risk investment?

Entreparticuli (ALENT.PA) has an annualized volatility of 204.3% and experienced a maximum drawdown of 98.4% over the last 10 years. Its primary macro risk driver is VTI.US.

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

Over the past 10 years, ALENT.PA has generated a Compound Annual Growth Rate (CAGR) of -3.0%. A $10,000 investment would have grown to approximately $7,349. It has had a positive return in 29% of calendar years.

What is ALENT.PA's Sharpe ratio?

ALENT.PA has a Sharpe ratio of 1.16 and a Sortino ratio of 13.22 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 1.16 indicates efficient return generation relative to risk taken.

What is ALENT.PA's dividend yield?

ALENT.PA does not pay a meaningful dividend. Its returns are driven primarily by price appreciation. Investors seeking regular income may wish to consider dividend-focused alternatives.

Is ALENT.PA above its 200-day moving average?

ALENT.PA is currently below its 200-day moving average by 15.3%. 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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