ALMONTY INDUSTRY O.N. (ALI1.XETRA)

10-Year Study

ALI1.XETRA · Basic Materials · Common Stock

About ALMONTY INDUSTRY O.N. (ALI1.XETRA)

Basic Materials

Almonty Industries Inc. engages in mining, processing, and shipping of tungsten concentrates....

Source: EODHD Financial Datasets
Fundamentals updated: Jul 31, 2026

Fundamental Snapshot

ALMONTY INDUSTRY O.N. (ALI1.XETRA) reports a gross margin of 31.3% and an operating margin of 8.8%. Revenue changed +221.2% year-over-year while EPS changed +90.5%. Financially, its return on equity is -70.7%, current ratio stands at 2.45x, debt-to-equity ratio is 0.47x.

Executive Summary: ALMONTY INDUSTRY O.N. has compounded at 61.5% annually over the last 10 years, with a maximum drawdown of 60.3% and an annualized volatility of 61.4%.

1Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+193.3%
3Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+185.3%
5Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+63.5%
10Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+61.5%

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
2020-05-01$10,000
2020-06-01$10,870
2020-07-01$11,449
2020-08-01$11,681
2020-09-01$13,565
2020-10-01$11,971
2020-11-01$12,174
2020-12-01$12,319
2021-01-01$14,203
2021-02-01$19,884
2021-03-01$24,812
2021-04-01$21,043
2021-05-01$22,493
2021-06-01$21,913
2021-07-01$19,710
2021-08-01$18,435
2021-09-01$17,855
2021-10-01$18,841
2021-11-01$19,130
2021-12-01$17,971
2022-01-01$18,261
2022-02-01$19,130
2022-03-01$20,870
2022-04-01$18,551
2022-05-01$17,971
2022-06-01$19,159
2022-07-01$19,478
2022-08-01$18,406
2022-09-01$13,913
2022-10-01$14,783
2022-11-01$14,783
2022-12-01$12,535
2023-01-01$16,725
2023-02-01$15,362
2023-03-01$12,738
2023-04-01$12,812
2023-05-01$12,058
2023-06-01$12,071
2023-07-01$11,884
2023-08-01$9,956
2023-09-01$9,855
2023-10-01$10,361
2023-11-01$10,506
2023-12-01$11,159
2024-01-01$13,840
2024-02-01$12,145
2024-03-01$12,303
2024-04-01$12,725
2024-05-01$13,478
2024-06-01$11,753
2024-07-01$12,941
2024-08-01$15,797
2024-09-01$15,507
2024-10-01$16,232
2024-11-01$17,594
2024-12-01$17,391
2025-01-01$22,783
2025-02-01$37,043
2025-03-01$42,145
2025-04-01$45,449
2025-05-01$48,754
2025-06-01$82,899
2025-07-01$63,420
2025-08-01$71,691
2025-09-01$100,483
2025-10-01$117,874
2025-11-01$112,271
2025-12-01$153,430
2026-01-01$188,406
2026-02-01$295,266
2026-03-01$237,681
2026-04-01$340,193
2026-05-01$338,357
2026-06-01$282,319
2026-07-01$191,768
Max DrawdownMax DrawdownThe largest peak-to-trough decline in the asset's value over the measurement period.Click for full definition →
60.3%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
1.33
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
3.15
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
66.8%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2025 · +782.2%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2022 · -30.2%
% Positive Years% Positive YearsThe percentage of calendar years in the measurement period where the asset delivered a positive return.Click for full definition →
67%

Annual Returns

View full annual returns data
YearReturn
202145.9%
2022-30.2%
2023-11.0%
202455.8%
2025782.2%
202625.0%

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
202622.856.7-19.543.1-0.5-16.6-32.125.0%
202531.062.613.87.87.370.0-23.513.040.217.3-4.836.7782.2%
202424.0-12.21.33.45.9-12.810.122.1-1.84.78.4-1.255.8%
202333.4-8.1-17.10.6-5.90.1-1.6-16.2-1.05.11.46.2-11.0%
20221.64.89.1-11.1-3.16.61.7-5.5-24.46.30.0-15.2-30.2%
202115.340.024.8-15.26.9-2.6-10.1-6.5-3.15.51.5-6.145.9%
20208.75.32.016.1-11.81.71.223.2%

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
61.4%
View full factor risk breakdown
FactorRisk Exposure
VTI.US3.0%
VEA.US-1.4%
VWO.US-1.5%
QQQ.US14.0%
VTV.US3.5%
IJR.US7.9%
QUAL.US2.1%
SHV.US3.7%
TLT.US0.3%
LQD.US-0.5%
HYG.US0.2%
GLD.US5.9%
USO.US0.0%
VNQ.US-0.3%
BTC-USD.CC-0.2%
CPER.US12.0%
VIX.INDX-0.2%
UUP.US2.2%
TIP.US3.1%
Idiosyncratic46.1%

ALMONTY INDUSTRY O.N. Business Fundamentals

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

Valuation Multiples

Grade: D
Forward P/E
36.36x
Expensive
Price-to-Sales (P/S)
52.43x
88th pct of 143 Basic Materials peers · median 2.31x
Price-to-Book (P/B)
13.59x
92nd pct of 145 Basic Materials peers · median 2.25x

Profitability & Margins

Gross Margin (TTM)
31.3%
40th pct of 136 Basic Materials peers · median 35.1%
Operating Margin (TTM)
8.8%
39th pct of 141 Basic Materials peers · median 16.1%
Return on Equity (ROE)
-70.7%
12th pct of 145 Basic Materials peers · median 10.1%

Year-over-Year Growth

Revenue Growth (YoY)
+221.2%
90th pct of 145 Basic Materials peers · median +14.6%
EPS Growth (YoY)
+90.5%
64th pct of 115 Basic Materials peers · median +46.0%

Financial Position

Debt-to-Equity
0.47x
64th pct of 133 Basic Materials peers · median 0.28x
Current Ratio
2.45x
64th pct of 141 Basic Materials peers · median 2.14x

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 →
-16.6%
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 →
51.5% 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 →
2.05
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 →
✦ 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 →
26
OversoldNeutralOverbought
Oversold
Fibonacci LevelsFibonacci RetracementTechnical levels based on mathematical ratios that indicate potential support and resistance areas.Click for full definition →
38.2% retracement-28.9%
50.0% retracement-17.0%
61.8% retracement-0.3%
% distance of current price from each 52-week Fibonacci support level.

In-Depth Analysis

ALI1.XETRA — 10-Year Return & Risk Profile

ALMONTY INDUSTRY O.N. (ALI1.XETRA) has delivered exceptional annualized growth of 61.5% over the last 10 years. A $10,000 investment at the start of the period would have grown to approximately $1,203,717, representing a total return of 11937%. Over this period, ALI1.XETRA generated positive annual returns in 7 out of 10 calendar years (67%).

The best single calendar year for ALI1.XETRA was 2025, with a return of +782.2%. The worst year was 2022, when the asset declined 30.2%. 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 1.33 is considered excellent 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.

ALI1.XETRA — Drawdown, Volatility & Downside Risk

ALI1.XETRA's annualized volatility of 66.8% is classified as high relative to the long-run US equity benchmark of approximately 15%. This above-average volatility means investors in ALI1.XETRA 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 60.3% — 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 60% drawdown, for example, requires a 152% gain just to break even.

When evaluating ALI1.XETRA 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.

ALI1.XETRA — Macroeconomic Factor Risk Exposure

The macroeconomic factor model attributes 14.0% of ALI1.XETRA's return variance to US Growth / Technology. This means that when US Growth / Technology rises or falls sharply, ALI1.XETRA 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 ALI1.XETRA allocation.

The second-largest macro driver is Industrial Metals / Copper, contributing 12.0% of variance. 46.1% of ALI1.XETRA'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 ALI1.XETRA's factor exposures helps assess its marginal contribution to overall portfolio risk. Adding ALI1.XETRA alongside assets with low correlation to US Growth / Technology — 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 ALMONTY INDUSTRY O.N. a high-risk investment?

ALMONTY INDUSTRY O.N. (ALI1.XETRA) has an annualized volatility of 61.4% and experienced a maximum drawdown of 60.3% over the last 10 years. Its primary macro risk driver is QQQ.US.

What is the 10-year return of ALI1.XETRA?

Over the past 10 years, ALI1.XETRA has generated a Compound Annual Growth Rate (CAGR) of 61.5%. A $10,000 investment would have grown to approximately $1,203,717. It has had a positive return in 67% of calendar years.

What is ALI1.XETRA's Sharpe ratio?

ALI1.XETRA has a Sharpe ratio of 1.33 and a Sortino ratio of 3.15 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 1.33 indicates efficient return generation relative to risk taken.

What is ALI1.XETRA's dividend yield?

ALI1.XETRA 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 ALI1.XETRA above its 200-day moving average?

ALI1.XETRA is currently below its 200-day moving average by 16.6%. The current trend signal is: Bullish — 50 SMA above 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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