3P Learning Ltd (3PL.AU)

10-Year Study

3PL.AU · Consumer Defensive · Common Stock

About 3P Learning Ltd (3PL.AU)

Consumer Defensive

3P Learning Ltd (3PL.AU) is listed on global equity exchanges in the Consumer Defensive sector.

Source: EODHD Financial Datasets
Fundamentals updated: Latest Filing

Fundamental Snapshot

3P Learning Ltd (3PL.AU) operates in the Consumer Defensive market. Detailed fundamentals are summarized below as reported in trailing financial disclosures.

Executive Summary: 3P Learning Ltd has compounded at -10.3% annually over the last 10 years, with a maximum drawdown of 85.1% and an annualized volatility of 98.2%.

1Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
-51.1%
3Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
-35.5%
5Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
-24.2%
10Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
-10.3%

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
2016-06-01$10,000
2016-07-01$11,293
2016-08-01$12,857
2016-09-01$15,034
2016-10-01$13,265
2016-11-01$15,850
2016-12-01$15,646
2017-01-01$12,925
2017-02-01$13,605
2017-03-01$13,197
2017-04-01$13,333
2017-05-01$14,422
2017-06-01$14,218
2017-07-01$14,966
2017-08-01$13,469
2017-09-01$16,190
2017-10-01$17,143
2017-11-01$17,415
2017-12-01$20,204
2018-01-01$21,088
2018-02-01$20,680
2018-03-01$20,136
2018-04-01$20,068
2018-05-01$18,435
2018-06-01$17,007
2018-07-01$16,871
2018-08-01$16,599
2018-09-01$17,143
2018-10-01$16,327
2018-11-01$15,646
2018-12-01$16,327
2019-01-01$15,646
2019-02-01$14,898
2019-03-01$14,014
2019-04-01$14,558
2019-05-01$14,150
2019-06-01$13,333
2019-07-01$13,333
2019-08-01$12,245
2019-09-01$11,769
2019-10-01$12,789
2019-11-01$11,701
2019-12-01$11,769
2020-01-01$11,429
2020-02-01$9,252
2020-03-01$11,429
2020-04-01$10,204
2020-05-01$10,204
2020-06-01$11,701
2020-07-01$14,218
2020-08-01$17,959
2020-09-01$18,095
2020-10-01$16,803
2020-11-01$18,503
2020-12-01$18,095
2021-01-01$18,367
2021-02-01$16,599
2021-03-01$17,551
2021-04-01$17,823
2021-05-01$17,891
2021-06-01$17,823
2021-07-01$16,735
2021-08-01$16,973
2021-09-01$16,395
2021-10-01$19,048
2021-11-01$20,272
2021-12-01$23,810
2022-01-01$22,177
2022-02-01$21,429
2022-03-01$21,088
2022-04-01$21,429
2022-05-01$18,571
2022-06-01$16,803
2022-07-01$16,939
2022-08-01$17,007
2022-09-01$19,048
2022-10-01$17,075
2022-11-01$17,415
2022-12-01$17,687
2023-01-01$17,279
2023-02-01$17,687
2023-03-01$17,007
2023-04-01$16,327
2023-05-01$15,510
2023-06-01$14,966
2023-07-01$14,966
2023-08-01$15,646
2023-09-01$17,279
2023-10-01$16,190
2023-11-01$15,850
2023-12-01$19,048
2024-01-01$14,966
2024-02-01$15,714
2024-03-01$17,007
2024-04-01$16,803
2024-05-01$16,871
2024-06-01$13,605
2024-07-01$14,966
2024-08-01$12,925
2024-09-01$13,878
2024-10-01$12,245
2024-11-01$10,680
2024-12-01$11,429
2025-01-01$10,340
2025-02-01$8,980
2025-03-01$10,544
2025-04-01$8,844
2025-05-01$8,980
2025-06-01$8,776
2025-07-01$9,048
2025-08-01$8,367
2025-09-01$8,639
2025-10-01$8,231
2025-11-01$8,435
2025-12-01$8,435
2026-01-01$8,299
2026-02-01$6,667
2026-03-01$3,673
2026-04-01$3,741
2026-05-01$3,537
2026-06-01$4,082
2026-07-01$4,354
Max DrawdownMax DrawdownThe largest peak-to-trough decline in the asset's value over the measurement period.Click for full definition →
85.1%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
-0.17
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
-0.24
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
35.9%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2020 · +53.8%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2026 · -48.4%
% 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
201729.1%
2018-19.2%
2019-27.9%
202053.8%
202131.6%
2022-25.7%
20237.7%
2024-40.0%
2025-26.2%
2026-48.4%

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
2026-1.6-19.7-44.91.9-5.515.46.7-48.4%
2025-9.5-13.217.4-16.11.5-2.33.1-7.53.3-4.72.50.0-26.2%
2024-21.45.08.2-1.20.4-19.410.0-13.67.4-11.8-12.87.0-40.0%
2023-2.32.4-3.8-4.0-5.0-3.50.04.510.4-6.3-2.120.27.7%
2022-6.9-3.4-1.61.6-13.3-9.50.80.412.0-10.42.01.6-25.7%
20211.5-9.65.71.60.4-0.4-6.11.4-3.416.26.417.431.6%
2020-2.9-19.023.5-10.70.014.721.526.30.8-7.110.1-2.253.8%
2019-4.2-4.8-5.93.9-2.8-5.80.0-8.2-3.98.7-8.50.6-27.9%
20184.4-1.9-2.6-0.3-8.1-7.7-0.8-1.63.3-4.8-4.24.3-19.2%
2017-17.45.3-3.01.08.2-1.45.3-10.020.25.91.616.029.1%
201612.913.916.9-11.819.5-1.356.5%

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
98.2%
View full factor risk breakdown
FactorRisk Exposure
VTI.US4.3%
VEA.US-0.3%
VWO.US-0.1%
QQQ.US1.3%
VTV.US-0.2%
IJR.US0.6%
QUAL.US0.7%
SHV.US71.9%
TLT.US0.3%
LQD.US5.5%
HYG.US0.1%
GLD.US0.3%
USO.US3.1%
VNQ.US-0.1%
BTC-USD.CC0.0%
CPER.US0.9%
VIX.INDX-0.2%
UUP.US0.1%
TIP.US1.6%
Idiosyncratic10.0%

3P Learning Ltd Business Fundamentals

Company financial statements are not available for 3PL.AU 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 →
+12.2%
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 →
-28.3%
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 →
52.6% 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 →
0.05
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 →
67
OversoldNeutralOverbought
Neutral
Fibonacci LevelsFibonacci RetracementTechnical levels based on mathematical ratios that indicate potential support and resistance areas.Click for full definition →
38.2% retracement-35.7%
50.0% retracement-27.7%
61.8% retracement-17.4%
% distance of current price from each 52-week Fibonacci support level.

In-Depth Analysis

3PL.AU — 10-Year Return & Risk Profile

3P Learning Ltd (3PL.AU) has delivered negative annualized growth of 10.3% over the last 10 years. A $10,000 investment at the start of the period would have grown to approximately $3,354, representing a total return of 66%. Over this period, 3PL.AU generated positive annual returns in 4 out of 10 calendar years (40%).

The best single calendar year for 3PL.AU was 2020, with a return of +53.8%. The worst year was 2026, when the asset declined 48.4%. 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 -0.17 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.

3PL.AU — Drawdown, Volatility & Downside Risk

3PL.AU's annualized volatility of 35.9% is classified as high relative to the long-run US equity benchmark of approximately 15%. This above-average volatility means investors in 3PL.AU 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 85.1% — 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 85% drawdown, for example, requires a 573% gain just to break even.

When evaluating 3PL.AU 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.

3PL.AU — Macroeconomic Factor Risk Exposure

The macroeconomic factor model attributes 71.9% of 3PL.AU's return variance to Short-Term Interest Rates. This means that when Short-Term Interest Rates rises or falls sharply, 3PL.AU 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 3PL.AU allocation.

The second-largest macro driver is Investment-Grade Corporate Credit, contributing 5.5% of variance. 10.0% of 3PL.AU'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 3PL.AU's factor exposures helps assess its marginal contribution to overall portfolio risk. Adding 3PL.AU 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 3P Learning Ltd a high-risk investment?

3P Learning Ltd (3PL.AU) has an annualized volatility of 98.2% and experienced a maximum drawdown of 85.1% over the last 10 years. Its primary macro risk driver is SHV.US.

What is the 10-year return of 3PL.AU?

Over the past 10 years, 3PL.AU has generated a Compound Annual Growth Rate (CAGR) of -10.3%. A $10,000 investment would have grown to approximately $3,354. It has had a positive return in 40% of calendar years.

What is 3PL.AU's Sharpe ratio?

3PL.AU has a Sharpe ratio of -0.17 and a Sortino ratio of -0.24 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 3PL.AU's dividend yield?

3PL.AU 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 3PL.AU above its 200-day moving average?

3PL.AU is currently below its 200-day moving average by 28.3%. 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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