Banco Bilbao Vizcaya Argentaria S.A

10-Year Study

BBVXF.US · Financial Services · US · Common Stock

Executive Summary: Banco Bilbao Vizcaya Argentaria S.A has compounded at 20.8% annually over the last 10 years, with a maximum drawdown of 65.6% and an annualized volatility of 87.5%.

1Y CAGR
+47.9%
3Y CAGR
+52.2%
5Y CAGR
+38.2%
10Y CAGR
+20.8%

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 →
65.6%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
0.64
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
1.13
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
39.1%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2025 · +170.7%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2018 · -36.8%
% Positive Years% Positive YearsThe percentage of calendar years in the measurement period where the asset delivered a positive return.Click for full definition →
70%

Annual Returns

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
20261.5-5.3-11.79.43.5-1.8——————-5.7%
202522.011.68.6-2.111.41.39.18.07.86.47.513.9170.7%
202410.1-0.317.25.4-10.8-3.13.2-3.09.3—-13.96.918.0%
202317.38.7-7.013.5-13.614.18.6-3.8-2.13.721.1-4.462.8%
20220.9-7.3-2.1-2.22.9-20.83.61.2-7.221.516.51.01.4%
2021-7.921.7-7.510.411.8-1.63.32.3-2.411.8-23.315.328.4%
2020-9.5-2.0-30.1-13.814.33.111.7-20.5-9.28.063.76.0-4.8%
2019—14.62.3-0.1-6.8-2.60.3-9.88.15.8-3.66.713.2%
20185.5-7.6-7.34.0-7.8-4.3-1.3-12.67.4-13.94.2-8.2-36.8%
20172.9-3.019.05.81.70.75.62.2-1.7-1.80.02.537.5%
2016—————-6.26.7-0.3-0.817.7-10.54.89.2%

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 87.5%. The dominant macroeconomic risk driver is SHV.US, accounting for 69.1% of variance. Idiosyncratic stock-specific factors contribute 4.3%.

10-Year Historical Price Series (Growth of $10,000)
DateSimulated Value
2016-05-0110000
2016-06-019382.48640117246
2016-07-0110008.7370705448
2016-08-019976.043516248134
2016-09-019894.30963050647
2016-10-0111649.051605084413
2016-11-0110424.452523886026
2016-12-0110920.77449902765
2017-01-0111242.918745243935
2017-02-0110907.809813703108
2017-03-0112985.541557453285
2017-04-0113738.338829232549
2017-05-0113967.75739127984
2017-06-0114070.06566894958
2017-07-0114854.710972069559
2017-08-0115187.28333474254
2017-09-0114922.916490516054
2017-10-0114656.858600377669
2017-11-0114656.858600377669
2017-12-0115019.58794847947
2018-01-0115848.200445308757
2018-02-0114639.666300273386
2018-03-0113569.234238042896
2018-04-0114110.36892984978
2018-05-0113005.834108396044
2018-06-0112440.461091851977
2018-07-0112276.429638398016
2018-08-0110726.30421915955
2018-09-0111521.377638736225
2018-10-019916.293227361124
2018-11-0110333.699726614244
2018-12-019487.894929680675
2019-02-0110873.425213494547
2019-03-0111125.95473633776
2019-04-0111109.607959189427
2019-05-0110353.710436571686
2019-06-0110089.3435923452
2019-07-0110115.836644964911
2019-08-019124.601899608242
2019-09-019862.743440151067
2019-10-0110437.980891181196
2019-11-0110064.541585637386
2019-12-0110741.805473351935
2020-01-019717.031650742652
2020-02-019523.688734815818
2020-03-016653.983822327443
2020-04-015734.900369211692
2020-05-016556.185000422762
2020-06-016761.083396747555
2020-07-017548.828950706012
2020-08-016002.931146247288
2020-09-015452.213860939659
2020-10-015890.194752120854
2020-11-019644.598517516419
2020-12-0110223.499901355657
2021-01-019414.052591527861
2021-02-0111452.608438319103
2021-03-0110592.147910149095
2021-04-0111697.24641357346
2021-05-0113077.703559651645
2021-06-0112869.98675347369
2021-07-0113295.566641300979
2021-08-0113596.572813618557
2021-09-0113264.56413291621
2021-10-0114833.291057185535
2021-11-0111382.711873960714
2021-12-0113129.28045996449
2022-01-0113244.835263944084
2022-02-0112276.993320368647
2022-03-0112024.463797525437
2022-04-0111755.86933851921
2022-05-0112097.178771736988
2022-06-019576.392999069925
2022-07-019917.702432287704
2022-08-0110038.89405597362
2022-09-019312.307995828754
2022-10-0111318.452129308645
2022-11-0113184.239452101125
2022-12-0113310.504213522729
2023-01-0115619.345565232097
2023-02-0116977.53727347031
2023-03-0115783.37701868606
2023-04-0117908.458047969336
2023-05-0115470.81536597052
2023-06-0117658.746934979285
2023-07-0119168.850934302867
2023-08-0118431.836757701305
2023-09-0118051.069586539277
2023-10-0118711.141174149543
2023-11-0122659.733378427893
2023-12-0121666.525746174008
2024-01-0123859.81229390378
2024-02-0123784.278909839068
2024-03-0127874.073447760773
2024-04-0129376.004058510192
2024-05-0126204.72929173361
2024-06-0125396.127504861757
2024-07-0126217.412136072828
2024-08-0125420.083988613624
2024-09-0127796.84901778417
2024-11-0123919.280741805476
2024-12-0125571.15075674305
2025-01-0131206.279417152848
2025-02-0134819.199007919735
2025-03-0137829.82441306615
2025-04-0137051.09777063781
2025-05-0141273.92125362871
2025-06-0141818.719878244694
2025-07-0145619.063724246786
2025-08-0149269.75000704603
2025-09-0153124.77100419943
2025-10-0156502.91705419802
2025-11-0160764.91643414785
2025-12-0169220.14599363039
2026-01-0170262.9576392999
2026-02-0166514.47253459599
2026-03-0158735.661339872044
2026-04-0164259.74465206731
2026-05-0166486.28843606438
2026-06-0165302.556297736824
Annual Return Matrix
YearAnnual Return
20170.37532259729534445
2018-0.368298587003434
20190.13215898288973382
2020-0.048251252853357074
20210.2842256161437944
20220.0138030224969945
20230.6277764837910518
20240.18021463414634153
20251.7069624926980347
2026-0.056596091205211585
Total Factor Risk
0.8745271599022011
VTI.US Exposure
0.22948412170923074
VEA.US Exposure
0.052287174026768336
VWO.US Exposure
-0.009032216856414423
QQQ.US Exposure
-0.011992881277619044
VTV.US Exposure
-0.009129498759473616
IJR.US Exposure
-0.007435366021887607
QUAL.US Exposure
-0.009746837592532904
SHV.US Exposure
0.6907689256434767
TLT.US Exposure
0.0025664645500847842
LQD.US Exposure
0.005883756495912789
HYG.US Exposure
0.002163109613369092
GLD.US Exposure
0.0008955530177577378
USO.US Exposure
-0.00023009195411994525
VNQ.US Exposure
-0.005339810925284877
BTC-USD.CC Exposure
-0.0008172026156818547
CPER.US Exposure
-0.0017027338718704637
VIX.INDX Exposure
0.000359365561148856
UUP.US Exposure
0.027290158405122576
TIP.US Exposure
0.0006318664958347846
Idiosyncratic Exposure
0.04309614435617823
Value Score
45.1
Growth Score
50
Profit Score
37.5
Health Score
23.6
Yield Score
42.7
Moat Score
40

Factor Risk Decomposition

Share of annualised volatility attributable to each macro factor.

Total Est. Vol
87.5%

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 →12.2x
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 →3.56%
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$144.9B
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
$3,618
Avg Yield on Cost
36.18%
Annual Income Simulation Table
Historical Realised Yields
YearAnnual PayoutYield on CostQuality
2026$3,617.6836.18%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 →
+3.5%
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 →
+7.6%
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 →
12.0% 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 →
0.97
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 →
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+7.8%
50.0% retracement+15.8%
61.8% retracement+25.2%
% distance of current price from each 52-week Fibonacci support level.

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Frequently Asked Questions & Methodology

Is Banco Bilbao Vizcaya Argentaria S.A a high-risk investment?

Banco Bilbao Vizcaya Argentaria S.A (BBVXF.US) has an annualized volatility of 87.5% and experienced a maximum drawdown of 65.6% over the last 10 years. Its primary macro risk driver is SHV.US.

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

Over the past 10 years, BBVXF.US has generated a Compound Annual Growth Rate (CAGR) of 20.8%. It has had a positive return in 70% 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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