Tonner Drones S.A.

10-Year Study

ALTD.PA · Industrials · FR · Common Stock

Executive Summary: Tonner Drones S.A. has compounded at -82.5% annually over the last 10 years, with a maximum drawdown of 100.0% and an annualized volatility of 379.2%.

1Y CAGR
+42.7%
3Y CAGR
-70.8%
5Y CAGR
-97.4%
10Y CAGR
-82.5%

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

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 →
17778302.69
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
3924643914.07
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
20344.1%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2019 · +12950.0%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2022 · -100.0%
% Positive Years% Positive YearsThe percentage of calendar years in the measurement period where the asset delivered a positive return.Click for full definition →
30%

Annual Returns

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
20264.317.8-13.74.0————————10.4%
20250.01.746.7-5.734.3-5.446.0-4.2-6.81.83.6-3.4137.3%
202476.1-13.029.7-98.20.0-3.3-13.86.0-22.612.226.11.7-96.4%
2023-74.5-83.3-50.0200.0-62.633.629.322.7-32.8-62.8-36.0-14.2-99.3%
2022-10.0-44.4-40.066.7-45.7-73.8-57.2-50.8-50.3-49.7-77.9-71.7-100.0%
20214.62.5-7.4-11.9-22.2-33.5-7.6-13.6-22.1-51.4-36.1-13.0-92.4%
2020-19.9-28.0-27.264.4-5.8-12.7-96.59.9-2.8-22.97.912.9-98.0%
20190.00.00.0-68.4-11.29.4-7.2-14.09.0-13.9-12.264592.112950.0%
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 379.2%. The dominant macroeconomic risk driver is SHV.US, accounting for 72.6% of variance. Idiosyncratic stock-specific factors contribute 18.2%.

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
2019-01-0110000
2019-02-0110000
2019-03-0110000
2019-04-013157.1053128157105
2019-05-012804.6493752804645
2019-06-013067.1165628067115
2019-07-012845.8943752845894
2019-08-012448.443906494844
2019-09-012669.6662502669665
2019-10-012298.462656479846
2019-11-012017.2478127017246
2019-12-011305000.0001305
2020-01-011045000.0001045
2020-02-01752500.00007525
2020-03-01547500.0000547499
2020-04-01900000.0000899999
2020-05-01847500.00008475
2020-06-01740000.0000739999
2020-07-0126200.00000262
2020-08-0128800.00000288
2020-09-0128000.0000028
2020-10-0121600.00000216
2020-11-0123300.000002329998
2020-12-0126300.000002629997
2021-01-0127500.00000275
2021-02-0128200.00000282
2021-03-0126100.00000261
2021-04-0123000.0000023
2021-05-0117900.00000179
2021-06-0111900.00000119
2021-07-0111000.0000011
2021-08-019500.00000095
2021-09-017400.000000739999
2021-10-013600.00000036
2021-11-012300.00000023
2021-12-012000.0000002
2022-01-011800.00000018
2022-02-011000.0000001
2022-03-01600.0000000599999
2022-04-011000.0000001
2022-05-01543.0000000543
2022-06-01142.50000001425
2022-07-0161.000000006099995
2022-08-0130.000000002999997
2022-09-0114.90000000149
2022-10-017.500000000749999
2022-11-011.660000000166
2022-12-010.470000000047
2023-01-010.12000000001199998
2023-02-010.020000000002
2023-03-010.010000000001
2023-04-010.030000000002999995
2023-05-010.011230000258615066
2023-06-010.015000000001499997
2023-07-010.01940000057414459
2023-08-010.02380000114678918
2023-09-010.016000000240018578
2023-10-010.005950000286697295
2023-11-010.003808999956035044
2023-12-010.0032699999216488683
2024-01-010.005759999752620678
2024-02-010.005009999871754966
2024-03-010.006499999762231421
2024-04-010.00012000000105508128
2024-05-010.00012000000105508128
2024-06-010.00011599999853638503
2024-07-010.00009999999777482582
2024-08-010.00010599999689625732
2024-09-010.00008200000041053135
2024-10-010.00009200000205065908
2024-11-010.00011599999853638503
2024-12-010.00011800000445234604
2025-01-010.00011800000445234604
2025-02-010.00012000000105508128
2025-03-010.00017599999906392567
2025-04-010.00016599999742379791
2025-05-010.00022299999373400997
2025-06-010.00021099999549114697
2025-07-010.00030799999836186994
2025-08-010.0002950000018176393
2025-09-010.00027499999853738386
2025-10-010.0002800000086706735
2025-11-010.000290000000029
2025-12-010.000280000000028
2026-01-010.00029200000002919995
2026-02-010.00034400000003439996
2026-03-010.0002970000000297
2026-04-010.0003090000000309
Annual Return Matrix
YearAnnual Return
20170
20180
2019129.50000001305
2020-0.9798467432950192
2021-0.9239543726235742
2022-0.999765
2023-0.9930425533588897
2024-0.9639143708624783
20251.3728812666365382
20260.10357142857142865
Total Factor Risk
3.7920887276364788
VTI.US Exposure
0.03468981295196222
VEA.US Exposure
0.012473363929496507
VWO.US Exposure
-0.0004631336515793554
QQQ.US Exposure
-0.00029595591838216554
VTV.US Exposure
-0.0003463473895513842
IJR.US Exposure
0.004738891493981495
QUAL.US Exposure
-0.0016039447322809995
SHV.US Exposure
0.7263730467584775
TLT.US Exposure
0.005461824770954956
LQD.US Exposure
0.01579446062589683
HYG.US Exposure
-0.00040664166451912783
GLD.US Exposure
0.005471086128099688
USO.US Exposure
-2.3933653189339915e-7
VNQ.US Exposure
0.009472878405087454
BTC-USD.CC Exposure
0.0001950531007551791
CPER.US Exposure
0.000076716576131245
VIX.INDX Exposure
0.000652097203739077
UUP.US Exposure
0.0038634578724930564
TIP.US Exposure
0.0022601070138331004
Idiosyncratic Exposure
0.18159346586193656
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
379.2%

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$19.0M
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 →
-2.9%
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 →
+4.1%
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 →
24.1% 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 →
0.80
Market sensitivity coefficient

Frequently Asked Questions & Methodology

Is Tonner Drones S.A. a high-risk investment?

Tonner Drones S.A. (ALTD.PA) has an annualized volatility of 379.2% and experienced a maximum drawdown of 100.0% over the last 10 years. Its primary macro risk driver is SHV.US.

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

Over the past 10 years, ALTD.PA has generated a Compound Annual Growth Rate (CAGR) of -82.5%. It has had a positive return in 30% 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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