Bankinter (0H7O.LSE)

10-Year Study

0H7O.LSE · Unknown · Common Stock

About Bankinter (0H7O.LSE)

Unknown

Bankinter, S.A. provides various banking products and services to individuals, corporates, and small- and medium-sized enterprises in Spain, Luxembourg, Portugal, and Ireland....

Source: EODHD Financial Datasets
Fundamentals updated: Jul 31, 2026

Fundamental Snapshot

Bankinter (0H7O.LSE) reports a gross margin of 100.0% and an operating margin of 60.2%. Revenue changed +9.4% year-over-year while EPS changed 0.0%. Financially, its return on equity is 17.9%, current ratio stands at 0.20x.

Executive Summary: Bankinter has compounded at 14.2% annually over the last 10 years, with a maximum drawdown of 62.8% and an annualized volatility of 36.9%.

1Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+33.0%
3Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+47.2%
5Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+33.0%
10Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+14.2%

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

View full price history data
DateValue
2016-07-01$10,000
2016-08-01$10,499
2016-09-01$9,972
2016-10-01$11,364
2016-11-01$11,266
2016-12-01$11,898
2017-01-01$12,258
2017-02-01$11,783
2017-03-01$12,735
2017-04-01$13,193
2017-05-01$13,397
2017-06-01$13,332
2017-07-01$13,530
2017-08-01$12,919
2017-09-01$13,167
2017-10-01$13,460
2017-11-01$13,341
2017-12-01$13,148
2018-01-01$15,325
2018-02-01$15,108
2018-03-01$14,065
2018-04-01$14,540
2018-05-01$13,624
2018-06-01$14,227
2018-07-01$13,903
2018-08-01$12,938
2018-09-01$13,304
2018-10-01$12,319
2018-11-01$12,559
2018-12-01$11,711
2019-01-01$11,658
2019-02-01$12,210
2019-03-01$11,685
2019-04-01$12,062
2019-05-01$10,977
2019-06-01$10,337
2019-07-01$10,009
2019-08-01$9,040
2019-09-01$9,975
2019-10-01$10,674
2019-11-01$10,928
2019-12-01$11,354
2020-01-01$10,191
2020-02-01$9,227
2020-03-01$5,936
2020-04-01$6,680
2020-05-01$6,751
2020-06-01$7,535
2020-07-01$7,784
2020-08-01$8,233
2020-09-01$6,527
2020-10-01$5,707
2020-11-01$7,416
2020-12-01$7,912
2021-01-01$8,261
2021-02-01$9,821
2021-03-01$10,615
2021-04-01$8,224
2021-05-01$8,315
2021-06-01$7,580
2021-07-01$8,187
2021-08-01$8,830
2021-09-01$9,254
2021-10-01$8,693
2021-11-01$7,893
2021-12-01$8,440
2022-01-01$9,589
2022-02-01$9,344
2022-03-01$9,905
2022-04-01$10,476
2022-05-01$11,012
2022-06-01$11,187
2022-07-01$9,116
2022-08-01$9,593
2022-09-01$10,933
2022-10-01$11,597
2022-11-01$11,930
2022-12-01$12,217
2023-01-01$12,825
2023-02-01$12,887
2023-03-01$10,271
2023-04-01$10,608
2023-05-01$10,499
2023-06-01$11,216
2023-07-01$11,768
2023-08-01$11,771
2023-09-01$12,259
2023-10-01$12,086
2023-11-01$13,068
2023-12-01$11,994
2024-01-01$11,825
2024-02-01$12,131
2024-03-01$14,138
2024-04-01$15,516
2024-05-01$16,961
2024-06-01$16,056
2024-07-01$16,593
2024-08-01$16,949
2024-09-01$16,751
2024-10-01$15,800
2024-11-01$16,260
2024-12-01$16,632
2025-01-01$18,129
2025-02-01$20,331
2025-03-01$22,213
2025-04-01$22,629
2025-05-01$25,060
2025-06-01$24,515
2025-07-01$27,930
2025-08-01$28,222
2025-09-01$29,910
2025-10-01$29,048
2025-11-01$30,841
2025-12-01$31,740
2026-01-01$32,359
2026-02-01$32,712
2026-03-01$30,170
2026-04-01$31,922
2026-05-01$32,678
2026-06-01$33,298
2026-07-01$36,624
Max DrawdownMax DrawdownThe largest peak-to-trough decline in the asset's value over the measurement period.Click for full definition →
62.8%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
0.49
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
0.59
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
30.0%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2025 · +90.8%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2020 · -30.3%
% Positive Years% Positive YearsThe percentage of calendar years in the measurement period where the asset delivered a positive return.Click for full definition →
60%

Annual Returns

View full annual returns data
YearReturn
201710.5%
2018-10.9%
2019-3.0%
2020-30.3%
20216.7%
202244.8%
2023-1.8%
202438.7%
202590.8%
202615.4%

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
20262.01.1-7.85.82.41.910.015.4%
20259.012.19.31.910.7-2.213.91.06.0-2.96.22.990.8%
2024-1.42.616.59.79.3-5.33.32.1-1.2-5.72.92.338.7%
20235.00.5-20.33.3-1.06.84.90.04.1-1.48.1-8.2-1.8%
202213.6-2.66.05.85.11.6-18.55.214.06.12.92.444.8%
20214.418.98.1-22.51.1-8.88.07.94.8-6.1-9.26.96.7%
2020-10.2-9.5-35.712.51.111.63.35.8-20.7-12.630.06.7-30.3%
2019-0.54.7-4.33.2-9.0-5.8-3.2-9.710.37.02.43.9-3.0%
201816.6-1.4-6.93.4-6.34.4-2.3-6.92.8-7.41.9-6.8-10.9%
20173.0-3.98.13.61.5-0.51.5-4.51.92.2-0.9-1.410.5%
20165.0-5.014.0-0.95.619.0%

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.

Factor Risk Decomposition

Share of annualised volatility attributable to each macro factor.

Total Est. Vol
36.9%
View full factor risk breakdown
FactorRisk Exposure
VTI.US46.2%
VEA.US23.8%
VWO.US0.5%
QQQ.US5.5%
VTV.US-4.1%
IJR.US-2.5%
QUAL.US-0.0%
SHV.US0.1%
TLT.US3.0%
LQD.US3.1%
HYG.US0.9%
GLD.US-0.3%
USO.US0.0%
VNQ.US-0.1%
BTC-USD.CC0.2%
CPER.US-0.4%
VIX.INDX-0.3%
UUP.US0.0%
TIP.US3.6%
Idiosyncratic20.7%

Bankinter Business Fundamentals

Reported valuation multiples, trailing margins, YoY growth, and balance-sheet liquidity.

Profitability & Margins

Gross Margin (TTM)
100.0%
Operating Margin (TTM)
60.2%
Return on Equity (ROE)
17.9%

Year-over-Year Growth

Revenue Growth (YoY)
+9.4%
EPS Growth (YoY)
0.0%

Financial Position

Current Ratio
0.20x

Dividend & Income Analysisi10-Year historical income simulation on a $10,000 initial investment, cumulative dividend income generated, average yield on cost, and annual payout table.

Income Simulation

Based on $10,000 initial investment.

Total Income Generated
$582
Avg Yield on Cost
5.82%
Annual Income Simulation Table
Historical Realised Yields
YearAnnual PayoutYield on CostQuality
2026$581.945.82%Moderate

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 →
+8.1%
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 →
+14.4%
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 →
0.3% 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 →
0.04
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 →
67
OversoldNeutralOverbought
Neutral
Fibonacci LevelsFibonacci RetracementTechnical levels based on mathematical ratios that indicate potential support and resistance areas.Click for full definition →
38.2% retracement+9.8%
50.0% retracement+13.3%
61.8% retracement+17.1%
% distance of current price from each 52-week Fibonacci support level.

In-Depth Analysis

0H7O.LSE — 10-Year Return & Risk Profile

Bankinter (0H7O.LSE) has delivered strong annualized growth of 14.2% over the last 10 years. A $10,000 investment at the start of the period would have grown to approximately $37,566, representing a total return of 276%. Over this period, 0H7O.LSE generated positive annual returns in 6 out of 10 calendar years (60%).

The best single calendar year for 0H7O.LSE was 2025, with a return of +90.8%. The worst year was 2020, when the asset declined 30.3%. This spread between best and worst year is a useful indicator of the range of outcomes an investor might have experienced in a given 12-month window.

The asset's Sharpe ratio of 0.49 is considered weak on a risk-adjusted basis. The Sharpe ratio measures return earned above the risk-free rate per unit of total volatility — a higher reading indicates more efficient return generation relative to the risk taken. Investors focused on risk-adjusted outcomes should weigh this figure alongside absolute CAGR when making allocation decisions.

0H7O.LSE — Drawdown, Volatility & Downside Risk

0H7O.LSE's annualized volatility of 30.0% is classified as high relative to the long-run US equity benchmark of approximately 15%. This above-average volatility means investors in 0H7O.LSE have historically experienced larger day-to-day price swings than the broader market, which requires a higher tolerance for short-term portfolio fluctuations.

The asset's maximum peak-to-trough decline over the study period was 62.8% — a catastrophic peak-to-trough decline. Drawdown magnitude is a critical consideration for investors who may need to liquidate positions during market stress, as a larger decline requires proportionally greater subsequent gains to recover to the prior peak. A 63% drawdown, for example, requires a 169% gain just to break even.

When evaluating 0H7O.LSE for inclusion in a diversified US portfolio, it is important to note that historical volatility and drawdown metrics are backward-looking. They capture the risk environment of the past 10 years, which included the COVID-19 market crash (2020), the 2022 Federal Reserve rate hike cycle, and various geopolitical disruptions. Future risk may differ materially, particularly in response to structural changes in US monetary policy, sector regulation, or macroeconomic regime shifts.

0H7O.LSE — Macroeconomic Factor Risk Exposure

The macroeconomic factor model attributes 46.2% of 0H7O.LSE's return variance to US Equity (broad market). This means that when US Equity (broad market) rises or falls sharply, 0H7O.LSE tends to move in the same direction with meaningful magnitude. Investors who already hold significant exposure to this factor — through other funds or direct equity positions — should be aware of this concentration when sizing their 0H7O.LSE allocation.

The second-largest macro driver is Developed Market Equities (ex-US), contributing 23.8% of variance. 20.7% of 0H7O.LSE's risk is attributable to idiosyncratic, stock-specific factors that are uncorrelated with the broader macro drivers. A higher idiosyncratic share generally indicates that the fund's performance is more dependent on the security selection or holdings composition of the individual underlying assets, rather than broad market forces.

For US investors building a diversified multi-asset portfolio, understanding 0H7O.LSE's factor exposures helps assess its marginal contribution to overall portfolio risk. Adding 0H7O.LSE alongside assets with low correlation to US Equity (broad market) — such as US Treasury bonds, commodities, or assets with significant developed-market ex-US exposure — can reduce the overall portfolio's sensitivity to any single macroeconomic theme.

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

Frequently Asked Questions & Methodology

Is Bankinter a high-risk investment?

Bankinter (0H7O.LSE) has an annualized volatility of 36.9% and experienced a maximum drawdown of 62.8% over the last 10 years. Its primary macro risk driver is VTI.US.

What is the 10-year return of 0H7O.LSE?

Over the past 10 years, 0H7O.LSE has generated a Compound Annual Growth Rate (CAGR) of 14.2%. A $10,000 investment would have grown to approximately $37,566. It has had a positive return in 60% of calendar years.

What is 0H7O.LSE's Sharpe ratio?

0H7O.LSE has a Sharpe ratio of 0.49 and a Sortino ratio of 0.59 over the 10-year period. The Sharpe ratio measures risk-adjusted return — how much excess return is earned per unit of volatility. A reading below 1.0 suggests investors were not fully compensated on a risk-adjusted basis.

What is 0H7O.LSE's dividend yield?

0H7O.LSE has an average trailing dividend yield of 14.94%. On a $10,000 initial investment, it generated approximately $582 in cumulative income over the study period. All return metrics on this page use total return (dividends reinvested).

Is 0H7O.LSE above its 200-day moving average?

0H7O.LSE is currently above its 200-day moving average by 14.4%. The current trend signal is: Bullish — 50 SMA above 200 SMA. The 200-day SMA is a widely used long-term trend filter — assets trading above it tend to exhibit positive price momentum.

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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