Crossamerica Partners LP

10-Year Study

CAPL.US · Energy · US · Common Stock

Executive Summary: Crossamerica Partners LP has compounded at 10.2% annually over the last 10 years, with a maximum drawdown of 60.6% and an annualized volatility of 27.6%.

1Y CAGR
+11.6%
3Y CAGR
+12.3%
5Y CAGR
+11.5%
10Y CAGR
+10.2%

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 →
60.6%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
0.37
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
0.51
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
35.8%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2019 · +43.6%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2018 · -33.1%
% Positive Years% Positive YearsThe percentage of calendar years in the measurement period where the asset delivered a positive return.Click for full definition →
90%

Annual Returns

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
20269.5-8.43.0-0.44.52.29.8%
20255.82.05.8-3.0-7.4-3.12.8-0.81.10.7-1.21.02.9%
20243.1-6.86.30.9-9.8-2.12.2-0.65.43.0-0.86.56.3%
202313.8-2.60.1-0.5-13.08.54.0-2.211.14.96.7-3.926.7%
202217.1-7.68.3-4.610.7-9.89.7-3.7-10.64.45.3-0.915.0%
20219.2-6.18.516.6-7.5-2.67.4-5.55.612.4-9.1-4.122.9%
20206.5-9.9-52.259.421.9-10.910.512.9-8.2-2.222.30.29.0%
201922.94.63.51.5-10.8-0.17.92.3-0.710.00.3-1.343.6%
20182.0-0.4-12.54.3-17.2-2.24.95.5-0.2-7.9-2.3-10.3-33.1%
20175.62.0-1.3-0.2-5.86.19.1-1.41.7-5.8-3.9-1.33.7%
20166.6-4.213.5-2.30.64.2-3.115.1%

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 27.6%. The dominant macroeconomic risk driver is SHV.US, accounting for 25.5% of variance. Idiosyncratic stock-specific factors contribute 28.6%.

10-Year Historical Price Series (Growth of $10,000)
DateSimulated Value
2016-05-0110000
2016-06-0110660.869565217392
2016-07-0110217.452113104287
2016-08-0111594.162359379752
2016-09-0111322.103982973547
2016-10-0111393.49346305868
2016-11-0111875.220431742171
2016-12-0111505.259957433871
2017-01-0112153.72453633323
2017-02-0112398.540589844937
2017-03-0112234.965034965035
2017-04-0112211.614472484038
2017-05-0111506.719367588932
2017-06-0112210.641532380663
2017-07-0113321.617512921859
2017-08-0113132.988750380055
2017-09-0113353.60291882031
2017-10-0112574.399513529948
2017-11-0112084.645788993615
2017-12-0111928.853754940712
2018-01-0112170.02128306476
2018-02-0112119.185162663423
2018-03-0110598.479781088477
2018-04-0111057.221039829734
2018-05-019158.041958041958
2018-06-018956.400121617513
2018-07-019391.54758285193
2018-08-019903.678929765885
2018-09-019887.260565521434
2018-10-019106.111280024323
2018-11-018897.780480389176
2018-12-017984.31134083308
2019-01-019811.24961994527
2019-02-0110262.815445424141
2019-03-0110617.452113104286
2019-04-0110780.29796290666
2019-05-019616.175129218609
2019-06-019610.094253572513
2019-07-0110368.501064153237
2019-08-0110602.979629066585
2019-09-0110528.914563697173
2019-10-0111578.108847674064
2019-11-0111609.486166007906
2019-12-0111463.30191547583
2020-01-0112207.965947096382
2020-02-0111000.912131346913
2020-03-015258.984493767102
2020-04-018384.432958346002
2020-05-0110219.51961082396
2020-06-019109.638187899058
2020-07-0110070.6597750076
2020-08-0111365.034965034965
2020-09-0110431.98540589845
2020-10-0110200.425661295227
2020-11-0112474.916387959867
2020-12-0112496.685922772878
2021-01-0113646.701124961995
2021-02-0112819.215567041652
2021-03-0113912.43539069626
2021-04-0116218.789905746427
2021-05-0115010.155062328977
2021-06-0114626.451809060505
2021-07-0115708.482821526299
2021-08-0114838.187899057462
2021-09-0115665.065369413194
2021-10-0117610.45910611128
2021-11-0116012.52660383095
2021-12-0115359.683794466404
2022-01-0117978.838552751597
2022-02-0116612.465795074488
2022-03-0117998.78382487078
2022-04-0117173.608999695956
2022-05-0119015.019762845848
2022-06-0117143.93432654302
2022-07-0118811.796898753422
2022-08-0118118.090605047128
2022-09-0116202.249923989053
2022-10-0116921.860747947703
2022-11-0117822.07357859532
2022-12-0117661.781696564303
2023-01-0120093.159014898145
2023-02-0119566.0687138948
2023-03-0119593.3110367893
2023-04-0119493.09820614168
2023-05-0116968.5618729097
2023-06-0118407.540285801155
2023-07-0119145.63697172393
2023-08-0118723.50258437215
2023-09-0120804.986318029798
2023-10-0121831.31650957738
2023-11-0123292.79416235938
2023-12-0122379.933110367896
2024-01-0123076.801459410155
2024-02-0121515.59744603223
2024-03-0122880.99726360596
2024-04-0123091.88203101247
2024-05-0120826.755852842813
2024-06-0120395.256916996044
2024-07-0120847.309212526605
2024-08-0120727.759197324413
2024-09-0121845.30252356339
2024-10-0122498.996655518396
2024-11-0122322.772879294618
2024-12-0123782.18303435695
2025-01-0125165.825478868956
2025-02-0125680.145941015508
2025-03-0127173.122529644268
2025-04-0126354.75828519307
2025-05-0124400.972940103376
2025-06-0123643.660687138945
2025-07-0124299.179081787777
2025-08-0124106.65855883247
2025-09-0124361.44724840377
2025-10-0124535.23867436911
2025-11-0124232.411067193676
2025-12-0124469.93006993007
2026-01-0126786.257221039825
2026-02-0124542.4141076315
2026-03-0125272.119185162665
2026-04-0125170.203709334146
2026-05-0126293.706293706295
2026-06-0126877.470355731224
Annual Return Matrix
YearAnnual Return
20170.03681740343755946
2018-0.3306723760004078
20190.4357283209699776
20200.09014715087473602
20210.22910057029410047
20220.14987925096005372
20230.2671390403790008
20240.06265657350599652
20250.028918583066136927
20260.09838770600982105
Total Factor Risk
0.2764826521022343
VTI.US Exposure
-0.0220586689751935
VEA.US Exposure
-0.009166472117352045
VWO.US Exposure
0.022376276710253877
QQQ.US Exposure
0.020342392900636
VTV.US Exposure
0.09081811311774889
IJR.US Exposure
-0.01844480155378872
QUAL.US Exposure
-0.016909496056815826
SHV.US Exposure
0.25545840850737855
TLT.US Exposure
0.06878367842106367
LQD.US Exposure
0.2026397107396417
HYG.US Exposure
-0.003897495366379363
GLD.US Exposure
0.016826724135628756
USO.US Exposure
0.00016581781922936936
VNQ.US Exposure
0.06165705191603523
BTC-USD.CC Exposure
0.0017809322788278179
CPER.US Exposure
0.000935083076516862
VIX.INDX Exposure
0.004526979910222252
UUP.US Exposure
0.03869834249462842
TIP.US Exposure
-0.0007124260021904348
Idiosyncratic Exposure
0.28617984804390856
Value Score
22.1
Growth Score
49
Profit Score
40
Health Score
24.4
Yield Score
100
Moat Score
100

Factor Risk Decomposition

Share of annualised volatility attributable to each macro factor.

Total Est. Vol
27.6%

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 →14.6x
Forward P/EForward P/E RatioA valuation metric that compares the current stock price to estimated future earnings per share.Click for full definition →No estimate availableN/A
Dividend YieldDividend YieldAnnual dividend paid per share divided by the current share price — expressed as a percentage income return.Click for full definition →9.52%
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 →Extreme
Market Cap$824.9M
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
4.0/ 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
1.22
Distress Zone
Income Simulation

Based on $10,000 initial investment.

Total Income Generated
$638
Avg Yield on Cost
6.38%
Annual Income Simulation Table
Historical Realised Yields
YearAnnual PayoutYield on CostQuality
2026$638.496.38%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 →
+2.5%
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 →
+6.3%
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 →
4.6% 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 →
0.27
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 →
✦ Golden Cross
Bullish — 50 SMA above 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 →
36
OversoldNeutralOverbought
Neutral
Fibonacci LevelsFibonacci RetracementTechnical levels based on mathematical ratios that indicate potential support and resistance areas.Click for full definition →
38.2% retracement+3.0%
50.0% retracement+5.6%
61.8% retracement+8.4%
% distance of current price from each 52-week Fibonacci support level.

Compare this AssetiRun a head-to-head backtest and risk analysis against similar assets.

Frequently Asked Questions & Methodology

Is Crossamerica Partners LP a high-risk investment?

Crossamerica Partners LP (CAPL.US) has an annualized volatility of 27.6% and experienced a maximum drawdown of 60.6% over the last 10 years. Its primary macro risk driver is SHV.US.

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

Over the past 10 years, CAPL.US has generated a Compound Annual Growth Rate (CAGR) of 10.2%. It has had a positive return in 90% 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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