Cibus Global LLC

10-Year Study

CBUS.US · Healthcare · US · Common Stock

Executive Summary: Cibus Global LLC has compounded at -49.2% annually over the last 10 years, with a maximum drawdown of 99.9% and an annualized volatility of 181.4%.

1Y CAGR
-58.9%
3Y CAGR
-65.3%
5Y CAGR
-63.9%
10Y CAGR
-49.2%

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 →
99.9%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
-0.03
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
-0.08
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
123.9%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2023 · +165.4%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2022 · -93.1%
% Positive Years% Positive YearsThe percentage of calendar years in the measurement period where the asset delivered a positive return.Click for full definition →
11%

Annual Returns

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
202612.189.2-46.3-27.8-17.8%
2025-10.4-17.7-8.815.050.2-57.37.2-9.5-3.724.0-15.027.9-37.4%
2024-14.74.128.8-24.1-15.2-31.90.4-31.5-51.822.421.8-42.8-85.8%
2023146.615.1-19.0-10.9107.9-66.790.5-26.624.2-41.016.956.2165.4%
2022-9.4-39.4-11.1-57.7-26.1-25.5-9.1-1.4-20.7-17.47.7-3.3-93.1%
2021110.47.4-36.9-17.3-13.5-6.7-6.04.0-14.2-2.4-12.5-26.0-49.5%
2020-20.513.3-47.230.9-0.513.6-10.523.21.0-41.515.913.4-39.8%
201928.120.89.7-9.3-20.4-1.7-25.6-33.4-8.9-18.8-19.790.5-32.3%
201818.2-29.5-28.628.112.3-1.1-5.9-3.6-9.8-21.2-4.3-10.1-53.0%
201741.061.1-16.4-6.515.1104.4%

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 181.4%. The dominant macroeconomic risk driver is SHV.US, accounting for 63.9% of variance. Idiosyncratic stock-specific factors contribute 14.4%.

10-Year Historical Price Series (Growth of $10,000)
DateSimulated Value
2017-07-0110000
2017-08-0114100.185528756956
2017-09-0122717.996289424864
2017-10-0118998.14471243043
2017-11-0117755.102040816328
2017-12-0120435.99257884972
2018-01-0124165.120593692023
2018-02-0117040.816326530614
2018-03-0112170.686456400741
2018-04-0115593.69202226345
2018-05-0117504.638218923934
2018-06-0117319.109461966604
2018-07-0116289.424860853433
2018-08-0115705.009276437846
2018-09-0114165.120593692021
2018-10-0111168.831168831168
2018-11-0110686.456400742114
2018-12-019610.38961038961
2019-01-0112309.83302411874
2019-02-0114870.129870129871
2019-03-0116317.25417439703
2019-04-0114795.918367346938
2019-05-0111781.076066790352
2019-06-0111576.99443413729
2019-07-018617.810760667904
2019-08-015742.1150278293135
2019-09-015231.910946196661
2019-10-014248.608534322821
2019-11-013413.7291280148424
2019-12-016502.78293135436
2020-01-015166.9758812615955
2020-02-015853.432282003711
2020-03-013089.053803339518
2020-04-014044.526901669759
2020-05-014025.974025974026
2020-06-014573.283858998145
2020-07-014090.909090909091
2020-08-015041.743970315399
2020-09-015092.764378478665
2020-10-012977.7365491651203
2020-11-013450.834879406308
2020-12-013914.656771799629
2021-01-018237.476808905381
2021-02-018849.721706864564
2021-03-015584.415584415584
2021-04-014619.666048237476
2021-05-013998.1447124304264
2021-06-013729.1280148423007
2021-07-013506.4935064935066
2021-08-013645.640074211503
2021-09-013126.1595547309835
2021-10-013051.9480519480517
2021-11-012671.6141001855285
2021-12-011975.8812615955474
2022-01-011790.352504638219
2022-02-011085.3432282003712
2022-03-01964.7495361781076
2022-04-01408.1632653061224
2022-05-01301.48423005565866
2022-06-01224.48980299572776
2022-07-01204.0816326530612
2022-08-01201.29870837606174
2022-09-01159.55473806066286
2022-10-01131.72541567036305
2022-11-01141.92950084169632
2022-12-01137.29128191776311
2023-01-01338.58998144712433
2023-02-01389.6103896103896
2023-03-01315.3988868274583
2023-04-01281.0760597129921
2023-05-01584.4155844155844
2023-06-01194.8051948051948
2023-07-01371.0575139146568
2023-08-01272.1706878718728
2023-09-01338.0333824370035
2023-10-01199.44341372912803
2023-11-01233.20964183347343
2023-12-01364.3784673404163
2024-01-01310.7606679035251
2024-02-01323.5621620418853
2024-03-01416.6975711404945
2024-04-01316.32651645752406
2024-05-01268.27458326803287
2024-06-01182.74583268032887
2024-07-01183.48794700042217
2024-08-01125.6029681062433
2024-09-0160.48237459115504
2024-10-0174.02597420290803
2024-11-0190.16697835833774
2024-12-0151.57699390333526
2025-01-0146.196660659308776
2025-02-0138.03339429158226
2025-03-0134.69387763948742
2025-04-0139.888684515165714
2025-05-0159.925788851085095
2025-06-0125.602968371644312
2025-07-0127.458256383552623
2025-08-0124.86085405155104
2025-09-0123.933208939759318
2025-10-0129.684601555507566
2025-11-0125.231911211597676
2025-12-0132.28200388750915
2026-01-0136.178108491349086
2026-02-0168.46011131725417
2026-03-0136.73469387755102
2026-04-0126.530612244897956
Annual Return Matrix
YearAnnual Return
2018-0.5297321833862914
2019-0.3233590733590733
2020-0.3980028530670471
2021-0.49526066350710896
2022-0.9305164310294138
20231.6540539373700174
2024-0.8584521355507265
2025-0.37410070955256636
2026-0.1781609240446369
Total Factor Risk
1.813652082042086
VTI.US Exposure
-0.020170438801523725
VEA.US Exposure
0.07989145168715597
VWO.US Exposure
-0.012481829538242823
QQQ.US Exposure
0.015862168871793
VTV.US Exposure
0.015499603943583445
IJR.US Exposure
0.04381724507656248
QUAL.US Exposure
0.05820560470114661
SHV.US Exposure
0.6392706040674567
TLT.US Exposure
-0.002783181402669249
LQD.US Exposure
0.005769215335316171
HYG.US Exposure
0.014194003684089877
GLD.US Exposure
0.005434432117012083
USO.US Exposure
-0.0008703061977642694
VNQ.US Exposure
0.011903190332530218
BTC-USD.CC Exposure
-0.0010681604502544447
CPER.US Exposure
0.001640763952923157
VIX.INDX Exposure
-0.004255490268552143
UUP.US Exposure
0.006946781750895007
TIP.US Exposure
-0.0006277137586138652
Idiosyncratic Exposure
0.14382205489715585
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
181.4%

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 →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$160.0M
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 →
-46.0%
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 →
-21.1%
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 →
64.7% 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 →
1.93
Market sensitivity coefficient

Frequently Asked Questions & Methodology

Is Cibus Global LLC a high-risk investment?

Cibus Global LLC (CBUS.US) has an annualized volatility of 181.4% and experienced a maximum drawdown of 99.9% over the last 10 years. Its primary macro risk driver is SHV.US.

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

Over the past 10 years, CBUS.US has generated a Compound Annual Growth Rate (CAGR) of -49.2%. It has had a positive return in 11% 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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