Poujoulat S.A. (ALPJT.PA)

10-Year Study

ALPJT.PA · Industrials · Common Stock

About Poujoulat S.A. (ALPJT.PA)

Industrials

Poujoulat S.A. (ALPJT.PA) is listed on global equity exchanges in the Industrials sector.

Source: EODHD Financial Datasets
Fundamentals updated: Latest Filing

Fundamental Snapshot

Poujoulat S.A. (ALPJT.PA) operates in the Industrials market. Detailed fundamentals are summarized below as reported in trailing financial disclosures.

Executive Summary: Poujoulat S.A. has compounded at -1.9% annually over the last 10 years, with a maximum drawdown of 80.9% and an annualized volatility of 118.6%.

1Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
-33.2%
3Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
-39.2%
5Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
-11.0%
10Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
-1.9%

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
2016-07-01$10,000
2016-08-01$9,802
2016-09-01$9,956
2016-10-01$10,187
2016-11-01$9,879
2016-12-01$10,527
2017-01-01$12,163
2017-02-01$11,675
2017-03-01$12,040
2017-04-01$12,055
2017-05-01$12,997
2017-06-01$13,583
2017-07-01$12,605
2017-08-01$12,410
2017-09-01$11,370
2017-10-01$13,405
2017-11-01$12,001
2017-12-01$13,296
2018-01-01$12,609
2018-02-01$12,609
2018-03-01$12,796
2018-04-01$13,358
2018-05-01$12,796
2018-06-01$12,672
2018-07-01$12,672
2018-08-01$10,674
2018-09-01$12,022
2018-10-01$11,642
2018-11-01$11,262
2018-12-01$10,756
2019-01-01$10,756
2019-02-01$10,630
2019-03-01$11,009
2019-04-01$10,187
2019-05-01$9,491
2019-06-01$9,617
2019-07-01$8,099
2019-08-01$9,427
2019-09-01$9,682
2019-10-01$8,143
2019-11-01$8,143
2019-12-01$8,015
2020-01-01$7,823
2020-02-01$7,182
2020-03-01$6,861
2020-04-01$6,861
2020-05-01$6,733
2020-06-01$6,797
2020-07-01$6,797
2020-08-01$6,284
2020-09-01$5,899
2020-10-01$6,059
2020-11-01$7,860
2020-12-01$9,497
2021-01-01$9,825
2021-02-01$10,349
2021-03-01$11,397
2021-04-01$12,707
2021-05-01$13,296
2021-06-01$12,642
2021-07-01$14,410
2021-08-01$14,410
2021-09-01$17,358
2021-10-01$16,434
2021-11-01$16,036
2021-12-01$16,500
2022-01-01$18,886
2022-02-01$25,015
2022-03-01$27,003
2022-04-01$27,666
2022-05-01$29,653
2022-06-01$23,027
2022-07-01$29,819
2022-08-01$31,310
2022-09-01$29,983
2022-10-01$32,428
2022-11-01$31,088
2022-12-01$37,252
2023-01-01$40,200
2023-02-01$39,396
2023-03-01$33,500
2023-04-01$31,356
2023-05-01$35,108
2023-06-01$35,376
2023-07-01$33,768
2023-08-01$34,572
2023-09-01$25,312
2023-10-01$24,563
2023-11-01$26,945
2023-12-01$22,454
2024-01-01$21,433
2024-02-01$18,916
2024-03-01$22,998
2024-04-01$21,773
2024-05-01$20,549
2024-06-01$15,990
2024-07-01$17,010
2024-08-01$16,466
2024-09-01$14,939
2024-10-01$14,801
2024-11-01$13,833
2024-12-01$13,833
2025-01-01$14,109
2025-02-01$15,285
2025-03-01$14,248
2025-04-01$13,030
2025-05-01$13,058
2025-06-01$12,422
2025-07-01$12,007
2025-08-01$11,730
2025-09-01$11,476
2025-10-01$10,438
2025-11-01$10,185
2025-12-01$10,606
2026-01-01$12,654
2026-02-01$11,757
2026-03-01$10,747
2026-04-01$11,027
2026-05-01$9,736
2026-06-01$7,688
2026-07-01$8,109
Max DrawdownMax DrawdownThe largest peak-to-trough decline in the asset's value over the measurement period.Click for full definition →
80.9%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
-0.01
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
-0.02
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
35.7%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2022 · +125.8%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2023 · -39.7%
% Positive Years% Positive YearsThe percentage of calendar years in the measurement period where the asset delivered a positive return.Click for full definition →
40%

Annual Returns

View full annual returns data
YearReturn
201726.3%
2018-19.1%
2019-25.5%
202018.5%
202173.7%
2022125.8%
2023-39.7%
2024-38.4%
2025-23.3%
2026-23.5%

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
202619.3-7.1-8.62.6-11.7-21.05.5-23.5%
20252.08.3-6.8-8.50.2-4.9-3.3-2.3-2.2-9.0-2.44.1-23.3%
2024-4.5-11.721.6-5.3-5.6-22.26.4-3.2-9.3-0.9-6.50.0-38.4%
20237.9-2.0-15.0-6.412.00.8-4.52.4-26.8-3.09.7-16.7-39.7%
202214.532.57.92.57.2-22.329.55.0-4.28.2-4.119.8125.8%
20213.45.310.111.54.6-4.914.00.020.5-5.3-2.42.973.7%
2020-2.4-8.2-4.50.0-1.91.00.0-7.5-6.12.729.720.818.5%
20190.0-1.23.6-7.5-6.81.3-15.816.42.7-15.90.0-1.6-25.5%
2018-5.20.01.54.4-4.2-1.00.0-15.812.6-3.2-3.3-4.5-19.1%
201715.5-4.03.10.17.84.5-7.2-1.5-8.417.9-10.510.826.3%
2016-2.01.62.3-3.06.65.3%

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
118.6%
View full factor risk breakdown
FactorRisk Exposure
VTI.US1.1%
VEA.US0.2%
VWO.US-0.0%
QQQ.US-0.1%
VTV.US0.3%
IJR.US0.3%
QUAL.US-0.2%
SHV.US92.3%
TLT.US0.2%
LQD.US0.1%
HYG.US0.1%
GLD.US0.1%
USO.US-0.0%
VNQ.US0.0%
BTC-USD.CC0.3%
CPER.US-0.0%
VIX.INDX0.0%
UUP.US0.2%
TIP.US0.0%
Idiosyncratic5.1%

Poujoulat S.A. Business Fundamentals

Company financial statements are not available for ALPJT.PA from our data provider. Return, risk, and factor analysis above are computed independently from daily price history.

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 →
-8.2%
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 →
-22.1%
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 →
35.9% 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 →
0.39
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 →
65
OversoldNeutralOverbought
Neutral
Fibonacci LevelsFibonacci RetracementTechnical levels based on mathematical ratios that indicate potential support and resistance areas.Click for full definition →
38.2% retracement-23.9%
50.0% retracement-19.3%
61.8% retracement-14.0%
% distance of current price from each 52-week Fibonacci support level.

In-Depth Analysis

ALPJT.PA — 10-Year Return & Risk Profile

Poujoulat S.A. (ALPJT.PA) has delivered negative annualized growth of 1.9% over the last 10 years. A $10,000 investment at the start of the period would have grown to approximately $8,259, representing a total return of 17%. Over this period, ALPJT.PA generated positive annual returns in 4 out of 10 calendar years (40%).

The best single calendar year for ALPJT.PA was 2022, with a return of +125.8%. The worst year was 2023, when the asset declined 39.7%. 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 -0.01 is considered poor 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.

ALPJT.PA — Drawdown, Volatility & Downside Risk

ALPJT.PA's annualized volatility of 35.7% is classified as high relative to the long-run US equity benchmark of approximately 15%. This above-average volatility means investors in ALPJT.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 80.9% — 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 81% drawdown, for example, requires a 423% gain just to break even.

When evaluating ALPJT.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.

ALPJT.PA — Macroeconomic Factor Risk Exposure

The macroeconomic factor model attributes 92.3% of ALPJT.PA's return variance to Short-Term Interest Rates. This means that when Short-Term Interest Rates rises or falls sharply, ALPJT.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 ALPJT.PA allocation.

The second-largest macro driver is US Equity (broad market), contributing 1.1% of variance. 5.1% of ALPJT.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 ALPJT.PA's factor exposures helps assess its marginal contribution to overall portfolio risk. Adding ALPJT.PA 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 Poujoulat S.A. a high-risk investment?

Poujoulat S.A. (ALPJT.PA) has an annualized volatility of 118.6% and experienced a maximum drawdown of 80.9% over the last 10 years. Its primary macro risk driver is SHV.US.

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

Over the past 10 years, ALPJT.PA has generated a Compound Annual Growth Rate (CAGR) of -1.9%. A $10,000 investment would have grown to approximately $8,259. It has had a positive return in 40% of calendar years.

What is ALPJT.PA's Sharpe ratio?

ALPJT.PA has a Sharpe ratio of -0.01 and a Sortino ratio of -0.02 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 ALPJT.PA's dividend yield?

ALPJT.PA has an average trailing dividend yield of 1.50%. On a $10,000 initial investment, it generated approximately $0 in cumulative income over the study period. All return metrics on this page use total return (dividends reinvested).

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

ALPJT.PA is currently below its 200-day moving average by 22.1%. 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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