Canada Packers Inc.

10-Year Study

CPKR.TO · Consumer Defensive · CA · Common Stock

Executive Summary: Canada Packers Inc. has compounded at 16.1% annually over the last 10 years, with a maximum drawdown of 20.0% and an annualized volatility of 56.3%.

1Y CAGR
+41.9%
3Y CAGR
+16.5%
5Y CAGR
+16.1%
10Y CAGR
+16.1%

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 →
20.0%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
0.69
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
0.92
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
20.0%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2024 · +20.4%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2025 · -1.0%
% Positive Years% Positive YearsThe percentage of calendar years in the measurement period where the asset delivered a positive return.Click for full definition →
67%

Annual Returns

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
2026-0.718.07.1-6.0————————17.8%
2025-1.50.00.0-0.0-14.0-5.56.8-1.36.513.0-4.42.2-1.0%
2024-0.70.0-0.41.10.03.70.00.415.60.00.00.020.4%
2023————0.20.07.00.03.80.00.00.011.4%

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 56.3%. The dominant macroeconomic risk driver is SHV.US, accounting for 69.7% of variance. Idiosyncratic stock-specific factors contribute 4.1%.

10-Year Historical Price Series (Growth of $10,000)
DateSimulated Value
2023-04-0110000
2023-05-0110024.752255160445
2023-06-0110024.752255160445
2023-07-0110726.072708539736
2023-08-0110726.072708539736
2023-09-0111138.613966560495
2023-10-0111138.613966560495
2023-11-0111138.613966560495
2023-12-0111138.613966560495
2024-01-0111056.105400212342
2024-02-0111056.105400212342
2024-03-0111014.85190389827
2024-04-0111138.613966560495
2024-05-0111138.613966560495
2024-06-0111551.155224581256
2024-07-0111551.155224581256
2024-08-0111600.660521762147
2024-09-0113407.590885674672
2024-10-0113407.590885674672
2024-11-0113407.590885674672
2024-12-0113407.590885674672
2025-01-0113201.32025666429
2025-02-0113201.32025666429
2025-03-0113201.32025666429
2025-04-0113199.25789659259
2025-05-0111344.884595570875
2025-06-0110726.072708539736
2025-07-0111452.145417079473
2025-08-0111303.630312396797
2025-09-0112037.954034943352
2025-10-0113597.607389119034
2025-11-0112996.122234924766
2025-12-0113275.57768310803
2026-01-0113176.567781183046
2026-02-0115544.554602222202
2026-03-0116641.914348557424
2026-04-0115635.31367898677
Annual Return Matrix
YearAnnual Return
20240.20370370370370372
2025-0.009846153846153838
20260.1777501553760099
Total Factor Risk
0.5625454860266661
VTI.US Exposure
0.11609655518188183
VEA.US Exposure
-0.00023726303612351375
VWO.US Exposure
0.004880102450909028
QQQ.US Exposure
0.0029547508514912073
VTV.US Exposure
0.001654293452594824
IJR.US Exposure
0.015027451953523044
QUAL.US Exposure
0.05943678523447512
SHV.US Exposure
0.6974324408461233
TLT.US Exposure
-0.0023839885360793576
LQD.US Exposure
0.0018764344915767853
HYG.US Exposure
0.021294427996437326
GLD.US Exposure
0.008053004286720107
USO.US Exposure
0.001918351670238261
VNQ.US Exposure
0.0021254400154224764
BTC-USD.CC Exposure
0.002186115964180993
CPER.US Exposure
-0.0006044714660424103
VIX.INDX Exposure
0.0004419226689943927
UUP.US Exposure
0.009492188505628022
TIP.US Exposure
0.01781444005175098
Idiosyncratic Exposure
0.04054101741629771
Value Score
50
Growth Score
50
Profit Score
37.5
Health Score
23.6
Yield Score
27.1
Moat Score
40

Factor Risk Decomposition

Share of annualised volatility attributable to each macro factor.

Total Est. Vol
56.3%

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 →2.26%
Market Cap$602.8M
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
$380
Avg Yield on Cost
1.90%
Annual Income Simulation Table
Historical Realised Yields
YearAnnual PayoutYield on CostQuality
2025$189.771.90%Solid
2026$189.771.90%Solid

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 →
-1.8%
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 →
+17.7%
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 →
9.2% 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 →
1.00
Market sensitivity coefficient

Frequently Asked Questions & Methodology

Is Canada Packers Inc. a high-risk investment?

Canada Packers Inc. (CPKR.TO) has an annualized volatility of 56.3% and experienced a maximum drawdown of 20.0% over the last 10 years. Its primary macro risk driver is SHV.US.

What is the 10-year return of CPKR.TO?

Over the past 10 years, CPKR.TO has generated a Compound Annual Growth Rate (CAGR) of 16.1%. It has had a positive return in 67% 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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