Armanino Foods New

10-Year Study

AMNF.US · Consumer Defensive · US · Common Stock

Executive Summary: Armanino Foods New has compounded at 20.4% annually over the last 10 years, with a maximum drawdown of 40.9% and an annualized volatility of 18.5%.

1Y CAGR
+28.2%
3Y CAGR
+39.6%
5Y CAGR
+28.0%
10Y CAGR
+20.4%

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 →
40.9%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
0.92
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
1.24
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
19.7%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2024 · +72.3%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2020 · -24.8%
% Positive Years% Positive YearsThe percentage of calendar years in the measurement period where the asset delivered a positive return.Click for full definition →
80%

Annual Returns

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
202611.3-6.1-6.0-2.95.1-3.0——————-2.8%
2025-6.64.12.0-2.97.20.03.812.89.8-1.54.11.638.1%
20241.31.925.8-6.7-4.10.42.90.58.915.40.313.372.3%
20230.81.77.34.22.51.20.80.50.79.0-0.23.937.0%
20223.31.84.1-1.4-1.73.21.2-2.02.30.31.40.613.5%
2021-2.010.49.14.13.99.91.1-3.9-1.22.9-2.9-1.233.1%
2020-7.11.5-24.64.1-9.85.1-9.10.5-3.72.414.44.0-24.8%
20198.16.53.8-1.51.50.48.60.50.7-2.4-3.11.326.4%
2018-2.74.45.9-2.9-1.92.05.34.0-2.00.02.50.115.1%
20171.8-5.71.91.4-2.32.32.3-1.82.72.20.912.218.4%
2016—————4.2-0.9-2.72.7-0.9-0.53.25.1%

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 18.5%. The dominant macroeconomic risk driver is VTI.US, accounting for 28.3% of variance. Idiosyncratic stock-specific factors contribute 44.0%.

10-Year Historical Price Series (Growth of $10,000)
DateSimulated Value
2016-05-0110000
2016-06-0110415.649452269172
2016-07-0110323.004694835683
2016-08-0110046.948356807512
2016-09-0110323.004694835683
2016-10-0110230.985915492958
2016-11-0110184.663536776214
2016-12-0110511.424100156495
2017-01-0110699.217527386541
2017-02-0110088.888888888889
2017-03-0110277.308294209704
2017-04-0110419.405320813772
2017-05-0110182.159624413147
2017-06-0110418.153364632237
2017-07-0110657.276995305165
2017-08-0110466.353677621282
2017-09-0110753.051643192488
2017-10-0110994.679186228483
2017-11-0111091.079812206575
2017-12-0112442.566510172144
2018-01-0112102.034428794992
2018-02-0112637.245696400627
2018-03-0113381.533646322381
2018-04-0112989.67136150235
2018-05-0112744.287949921752
2018-06-0113004.068857589986
2018-07-0113696.400625978093
2018-08-0114240.375586854461
2018-09-0113958.685446009391
2018-10-0113958.685446009391
2018-11-0114307.355242566511
2018-12-0114323.630672926447
2019-01-0115479.186228482002
2019-02-0116484.50704225352
2019-03-0117111.73708920188
2019-04-0116858.841940532082
2019-05-0117111.73708920188
2019-06-0117186.8544600939
2019-07-0118666.0406885759
2019-08-0118768.075117370896
2019-09-0118895.774647887327
2019-10-0118433.176838810643
2019-11-0117868.544600938967
2019-12-0118100.156494522693
2020-01-0116807.511737089204
2020-02-0117066.0406885759
2020-03-0112870.109546165884
2020-04-0113393.427230046951
2020-05-0112085.13302034429
2020-06-0112703.59937402191
2020-07-0111544.287949921754
2020-08-0111596.870109546167
2020-09-0111164.945226917058
2020-10-0111430.98591549296
2020-11-0113079.186228482002
2020-12-0113604.381846635368
2021-01-0113336.46322378717
2021-02-0114729.264475743352
2021-03-0116068.231611893585
2021-04-0116733.02034428795
2021-05-0117380.281690140848
2021-06-0119107.98122065728
2021-07-0119313.928012519562
2021-08-0118552.11267605634
2021-09-0118334.272300469485
2021-10-0118868.231611893585
2021-11-0118319.87480438185
2021-12-0118100.78247261346
2022-01-0118696.713615023476
2022-02-0119029.107981220655
2022-03-0119803.44287949922
2022-04-0119524.882629107982
2022-05-0119189.98435054773
2022-06-0119804.068857589984
2022-07-0120036.306729264477
2022-08-0119642.566510172146
2022-09-0120092.644757433492
2022-10-0120147.104851330205
2022-11-0120430.672926447576
2022-12-0120545.85289514867
2023-01-0120717.370892018782
2023-02-0121061.032863849767
2023-03-0122605.946791862283
2023-04-0123551.173708920192
2023-05-0124128.3255086072
2023-06-0124416.901408450707
2023-07-0124606.57276995305
2023-08-0124723.004694835683
2023-09-0124897.02660406886
2023-10-0127142.410015649453
2023-11-0127084.19405320814
2023-12-0128138.967136150233
2024-01-0128513.302034428794
2024-02-0129044.131455399063
2024-03-0136541.47104851331
2024-04-0134100.782472613464
2024-05-0132712.36306729264
2024-06-0132833.17683881064
2024-07-0133778.403755868545
2024-08-0133960.563380281696
2024-09-0136979.65571205008
2024-10-0142664.1627543036
2024-11-0142786.22848200313
2024-12-0148470.73552425665
2025-01-0145256.96400625978
2025-02-0147098.59154929577
2025-03-0148020.03129890454
2025-04-0146604.068857589984
2025-05-0149937.40219092332
2025-06-0149937.40219092332
2025-07-0151855.39906103286
2025-08-0158492.644757433496
2025-09-0164202.190923317685
2025-10-0163266.97965571206
2025-11-0165884.8200312989
2025-12-0166944.60093896714
2026-01-0174491.39280125196
2026-02-0169921.75273865415
2026-03-0165727.69953051645
2026-04-0163849.76525821596
2026-05-0167104.85133020346
2026-06-0165101.72143974961
Annual Return Matrix
YearAnnual Return
20170.1837184373511196
20180.15117975549630214
20190.26365702298750127
2020-0.2483831921148194
20210.330511204159573
20220.13508092405588612
20230.36956919139601485
20240.7225484961736965
20250.3811344147122637
2026-0.02752842609216033
Total Factor Risk
0.18521494762241592
VTI.US Exposure
0.2832953273544918
VEA.US Exposure
0.023046502828689676
VWO.US Exposure
-0.0019669631485260027
QQQ.US Exposure
-0.02698544741468109
VTV.US Exposure
-0.002479045451795426
IJR.US Exposure
0.030104733505102607
QUAL.US Exposure
-0.013472125103097502
SHV.US Exposure
0.015037471868676017
TLT.US Exposure
0.059058425736728815
LQD.US Exposure
0.09973347211427842
HYG.US Exposure
0.004029198765570743
GLD.US Exposure
0.06416505663794102
USO.US Exposure
0.004175744726804123
VNQ.US Exposure
0.01643147005105907
BTC-USD.CC Exposure
0.003021209320147584
CPER.US Exposure
-0.004644137443521311
VIX.INDX Exposure
-0.006743290942141205
UUP.US Exposure
0.008515122835829527
TIP.US Exposure
0.005656776390687846
Idiosyncratic Exposure
0.44002049736775545
Value Score
21.6
Growth Score
57.1
Profit Score
62.5
Health Score
32.5
Yield Score
0
Moat Score
40

Factor Risk Decomposition

Share of annualised volatility attributable to each macro factor.

Total Est. Vol
18.5%

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 →17.0x
Forward P/EForward P/E RatioA valuation metric that compares the current stock price to estimated future earnings per share.Click for full definition →Fairly Valued17.6x
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%
Squeeze RiskShort Squeeze RiskA situation where a sharp rise in the price of a stock forces short sellers to buy shares to cover their positions, further driving up the price.Click for full definition →Low
Market Cap$333.2M
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
2.0/ 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
1.63
Distress Zone
Income Simulation

Based on $10,000 initial investment.

Total Income Generated
$313
Avg Yield on Cost
3.13%
Annual Income Simulation Table
Historical Realised Yields
YearAnnual PayoutYield on CostQuality
2026$312.993.13%Solid

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 →
+0.8%
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 →
-1.4%
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 →
14.5% 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 →
0.07
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 →
✦ Death Cross
Bearish — 50 SMA below 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 →
56
OversoldNeutralOverbought
Neutral
Fibonacci LevelsFibonacci RetracementTechnical levels based on mathematical ratios that indicate potential support and resistance areas.Click for full definition →
38.2% retracement-0.6%
50.0% retracement+4.7%
61.8% retracement+10.6%
% distance of current price from each 52-week Fibonacci support level.

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Frequently Asked Questions & Methodology

Is Armanino Foods New a high-risk investment?

Armanino Foods New (AMNF.US) has an annualized volatility of 18.5% and experienced a maximum drawdown of 40.9% over the last 10 years. Its primary macro risk driver is VTI.US.

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

Over the past 10 years, AMNF.US has generated a Compound Annual Growth Rate (CAGR) of 20.4%. It has had a positive return in 80% 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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