Cingulate Inc

10-Year Study

CING.US · Healthcare · US · Common Stock

Executive Summary: Cingulate Inc has compounded at -67.3% annually over the last 10 years, with a maximum drawdown of 99.4% and an annualized volatility of 199.9%.

1Y CAGR
+37.8%
3Y CAGR
-72.1%
5Y CAGR
-67.3%
10Y CAGR
-67.3%

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

Max DrawdownMax DrawdownThe largest peak-to-trough decline in the asset's value over the measurement period.Click for full definition →
99.4%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
-0.44
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
-0.77
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
104.0%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2026 · +21.2%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2024 · -94.6%
% Positive Years% Positive YearsThe percentage of calendar years in the measurement period where the asset delivered a positive return.Click for full definition →
20%

Annual Returns

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
202632.39.2-1.0-15.3————————21.2%
2025-7.7-9.54.4-2.1-6.93.827.3-23.0-1.8-3.3-1.616.4-12.0%
2024-59.5-56.6-18.2-16.6-23.6-54.410.386.3-36.1-19.87.913.1-94.6%
2023-3.986.3-45.09.6-15.72.2-44.023.210.4-39.4-27.122.0-61.7%
2022-33.0-22.737.8-17.8-32.733.9-15.834.1-35.20.9-8.10.7-63.8%

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 199.9%. The dominant macroeconomic risk driver is TLT.US, accounting for 19.2% of variance. Idiosyncratic stock-specific factors contribute 31.1%.

10-Year Historical Price Series (Growth of $10,000)
DateSimulated Value
2021-12-0110000
2022-01-016702.898303676059
2022-02-015181.159413612867
2022-03-017137.680712062053
2022-04-015869.564816771988
2022-05-013949.275308902932
2022-06-015289.854785353258
2022-07-014456.5217591614
2022-08-015978.260649224594
2022-09-013876.811267030457
2022-10-013913.0435183228014
2022-11-013597.826064922459
2022-12-013623.1882722573296
2023-01-013481.8839204250494
2023-02-016485.507099483062
2023-03-013568.8403560310267
2023-04-013913.0435183228014
2023-05-013297.1012356117276
2023-06-013369.565047128095
2023-07-011887.681103667435
2023-08-012326.086898431938
2023-09-012568.840540315912
2023-10-011557.9709109994303
2023-11-011135.8694911028178
2023-12-011385.86956020965
2024-01-01561.5941937176914
2024-02-01243.65940209506113
2024-03-01199.27535209470182
2024-04-01166.1231779062325
2024-05-01126.99274445067532
2024-06-0157.97101106036418
2024-07-0163.94927392676629
2024-08-01119.11231243484379
2024-09-0176.08695314151365
2024-10-0160.99033534044145
2024-11-0165.82125562829076
2024-12-0174.42632316777978
2025-01-0168.68961387432988
2025-02-0162.19806361274669
2025-03-0164.91545942406182
2025-04-0163.55676151840426
2025-05-0159.17874293198358
2025-06-0161.44323704187008
2025-07-0178.20047761804783
2025-08-0160.23550517025067
2025-09-0159.17874293198358
2025-10-0157.2161808901734
2025-11-0156.310384685944456
2025-12-0165.51932356021445
2026-01-0186.65458272281288
2026-02-0194.65579361272273
2026-03-0193.74999654465839
2026-04-0179.4082096336398
Annual Return Matrix
YearAnnual Return
2022-0.6376811727742671
2023-0.6174999872843425
2024-0.9462962999515475
2025-0.11967539478587741
20260.21198152420882388
Total Factor Risk
1.9991989549414004
VTI.US Exposure
0.0207755196161195
VEA.US Exposure
0.02057791533442223
VWO.US Exposure
0.0018840738861633888
QQQ.US Exposure
0.003522929862254828
VTV.US Exposure
0.018173424128082018
IJR.US Exposure
0.0014358063106012676
QUAL.US Exposure
0.07655824550370126
SHV.US Exposure
0.1502070331227734
TLT.US Exposure
0.19189055088468684
LQD.US Exposure
0.1535887543178253
HYG.US Exposure
0.00415465351345188
GLD.US Exposure
0.0004249197024963213
USO.US Exposure
-0.00024092267962239536
VNQ.US Exposure
0.007750907579226301
BTC-USD.CC Exposure
-0.000009974758881029502
CPER.US Exposure
0.0012658881917755429
VIX.INDX Exposure
0.019423154174397297
UUP.US Exposure
0.015683555379503528
TIP.US Exposure
0.00200786707151241
Idiosyncratic Exposure
0.31092569885951005
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
199.9%

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$71.4M
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 →
-21.7%
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 →
+7.7%
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 →
54.9% 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 →
-0.77
Market sensitivity coefficient

Frequently Asked Questions & Methodology

Is Cingulate Inc a high-risk investment?

Cingulate Inc (CING.US) has an annualized volatility of 199.9% and experienced a maximum drawdown of 99.4% over the last 10 years. Its primary macro risk driver is TLT.US.

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

Over the past 10 years, CING.US has generated a Compound Annual Growth Rate (CAGR) of -67.3%. It has had a positive return in 20% 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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