Bitcoin Depot Inc.

10-Year Study

BTM.US · Financial Services · US · Common Stock

Executive Summary: Bitcoin Depot Inc. has compounded at -48.0% annually over the last 10 years, with a maximum drawdown of 97.0% and an annualized volatility of 101.4%.

1Y CAGR
-84.1%
3Y CAGR
-59.8%
5Y CAGR
-48.0%
10Y CAGR
-48.0%

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

Max DrawdownMax DrawdownThe largest peak-to-trough decline in the asset's value over the measurement period.Click for full definition →
97.0%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
-0.04
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
-0.07
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
128.6%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2025 · +-20.4%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2023 · -68.1%
% Positive Years% Positive YearsThe percentage of calendar years in the measurement period where the asset delivered a positive return.Click for full definition →
0%

Annual Returns

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
2026-20.9-38.5-50.3131.7————————-44.1%
2025-1.2-31.237.30.0158.330.0-2.2-27.0-7.2-18.2-44.4-15.7-20.4%
2024-32.510.1-21.03.41.5-9.5-6.1-1.2-5.4-6.334.5-18.6-49.8%
20231.00.21.10.1-0.2-68.816.7-26.3-5.4-1.5-14.345.5-68.1%
2022————-0.30.50.10.20.20.1-0.11.72.5%

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.

Risk Profile Insight: This asset has an estimated annualized volatility of 101.4%. The dominant macroeconomic risk driver is VTI.US, accounting for 30.0% of variance. Idiosyncratic stock-specific factors contribute 59.1%.

10-Year Historical Price Series (Growth of $10,000)
DateSimulated Value
2022-04-0110000
2022-05-019969.604863221884
2022-06-0110020.263424518742
2022-07-0110030.395136778114
2022-08-0110050.65856129686
2022-09-0110070.921985815601
2022-10-0110081.053698074975
2022-11-0110070.921985815601
2022-12-0110245.79533941236
2023-01-0110349.544072948327
2023-02-0110374.873353596759
2023-03-0110486.322188449849
2023-04-0110496.453900709219
2023-05-0110476.190476190475
2023-06-013272.543059777102
2023-07-013819.655521783181
2023-08-012816.61600810537
2023-09-012664.640324214792
2023-10-012624.1134751773047
2023-11-012249.2401215805467
2023-12-013272.543059777102
2024-01-012208.7132725430597
2024-02-012431.61094224924
2024-03-011919.9594731509626
2024-04-011985.8156028368796
2024-05-012016.2107396149947
2024-06-011823.70820668693
2024-07-011712.25937183384
2024-08-011691.9959473150961
2024-09-011600.81053698075
2024-10-011499.4934143870312
2024-11-012016.2107396149947
2024-12-011641.337386018237
2025-01-011621.0739614994932
2025-02-011114.4883485309017
2025-03-011529.888551165147
2025-04-011529.888551165147
2025-05-013951.367781155015
2025-06-015136.77811550152
2025-07-015025.32928064843
2025-08-013667.6798378926032
2025-09-013404.255319148936
2025-10-012786.220871327254
2025-11-011550.1519756838904
2025-12-011306.9908814589664
2026-01-011033.4346504559269
2026-02-01635.4030974091763
2026-03-01315.5304675061514
2026-04-01730.9306701403966
Annual Return Matrix
YearAnnual Return
2023-0.6805964835947234
2024-0.4984520123839009
2025-0.20370370370370372
2026-0.4407530454042081
Total Factor Risk
1.0135522841867912
VTI.US Exposure
0.3000815772275694
VEA.US Exposure
0.02736261722455096
VWO.US Exposure
0.028890178372530884
QQQ.US Exposure
-0.03206883294753887
VTV.US Exposure
0.015577338080193065
IJR.US Exposure
-0.019136171600486758
QUAL.US Exposure
-0.03510545346783589
SHV.US Exposure
0.03793082416034805
TLT.US Exposure
-0.002282556063408753
LQD.US Exposure
0.02585440219159766
HYG.US Exposure
-0.001870636731491043
GLD.US Exposure
0.0015914586374694197
USO.US Exposure
0.0031833070236437907
VNQ.US Exposure
0.018521464074478487
BTC-USD.CC Exposure
0.014951128066277485
CPER.US Exposure
-0.0045223463805782365
VIX.INDX Exposure
0.012090851464045836
UUP.US Exposure
0.003117586162690212
TIP.US Exposure
0.014711127540146614
Idiosyncratic Exposure
0.5911221369657977
Value Score
48.2
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
101.4%

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 →4.5x
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$54.6M
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 →
+16.4%
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 →
-70.2%
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 →
88.9% 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 →
0.87
Market sensitivity coefficient

Frequently Asked Questions & Methodology

Is Bitcoin Depot Inc. a high-risk investment?

Bitcoin Depot Inc. (BTM.US) has an annualized volatility of 101.4% and experienced a maximum drawdown of 97.0% over the last 10 years. Its primary macro risk driver is VTI.US.

What is the 10-year return of BTM.US?

Over the past 10 years, BTM.US has generated a Compound Annual Growth Rate (CAGR) of -48.0%. It has had a positive return in 0% 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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