KBC Groep NV (0EYG.LSE)

10-Year Study

0EYG.LSE · Common Stock

Fundamental Snapshot

KBC Groep NV (0EYG.LSE) operates in the market. Detailed fundamentals are summarized below as reported in trailing financial disclosures.

Executive Summary: KBC Groep NV has compounded at 12.4% annually over the last 10 years, with a maximum drawdown of 42.1% and an annualized volatility of 53.6%.

1Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+24.7%
3Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+31.7%
5Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+16.3%
10Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+12.4%

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

View full price history data
DateValue
2016-06-01$10,000
2016-07-01$10,625
2016-08-01$12,148
2016-09-01$11,886
2016-10-01$12,713
2016-11-01$13,164
2016-12-01$13,677
2017-01-01$14,033
2017-02-01$13,436
2017-03-01$14,411
2017-04-01$15,414
2017-05-01$15,855
2017-06-01$15,700
2017-07-01$16,559
2017-08-01$16,340
2017-09-01$16,952
2017-10-01$16,872
2017-11-01$16,390
2017-12-01$16,958
2018-01-01$18,505
2018-02-01$18,367
2018-03-01$16,987
2018-04-01$17,345
2018-05-01$15,981
2018-06-01$16,154
2018-07-01$16,096
2018-08-01$14,907
2018-09-01$15,606
2018-10-01$14,885
2018-11-01$15,762
2018-12-01$13,898
2019-01-01$14,685
2019-02-01$16,091
2019-03-01$15,361
2019-04-01$16,328
2019-05-01$14,937
2019-06-01$14,669
2019-07-01$14,858
2019-08-01$13,384
2019-09-01$15,176
2019-10-01$16,015
2019-11-01$17,065
2019-12-01$17,356
2020-01-01$17,070
2020-02-01$15,411
2020-03-01$10,709
2020-04-01$12,794
2020-05-01$12,119
2020-06-01$13,205
2020-07-01$12,477
2020-08-01$12,751
2020-09-01$11,024
2020-10-01$10,786
2020-11-01$15,125
2020-12-01$14,904
2021-01-01$14,883
2021-02-01$15,396
2021-03-01$16,029
2021-04-01$16,673
2021-05-01$17,388
2021-06-01$16,596
2021-07-01$17,587
2021-08-01$18,448
2021-09-01$20,166
2021-10-01$20,868
2021-11-01$19,578
2021-12-01$19,920
2022-01-01$20,326
2022-02-01$17,040
2022-03-01$17,275
2022-04-01$17,117
2022-05-01$15,760
2022-06-01$14,531
2022-07-01$13,905
2022-08-01$12,947
2022-09-01$13,309
2022-10-01$13,778
2022-11-01$14,566
2022-12-01$16,680
2023-01-01$18,771
2023-02-01$19,567
2023-03-01$17,578
2023-04-01$17,865
2023-05-01$17,509
2023-06-01$18,290
2023-07-01$19,595
2023-08-01$17,346
2023-09-01$16,976
2023-10-01$14,882
2023-11-01$15,301
2023-12-01$16,940
2024-01-01$17,509
2024-02-01$18,945
2024-03-01$20,163
2024-04-01$20,218
2024-05-01$20,209
2024-06-01$19,820
2024-07-01$21,644
2024-08-01$21,062
2024-09-01$21,533
2024-10-01$20,049
2024-11-01$20,725
2024-12-01$22,623
2025-01-01$22,668
2025-02-01$25,452
2025-03-01$25,696
2025-04-01$24,630
2025-05-01$27,275
2025-06-01$27,435
2025-07-01$28,820
2025-08-01$31,633
2025-09-01$31,755
2025-10-01$32,626
2025-11-01$33,539
2025-12-01$35,202
2026-01-01$37,418
2026-02-01$35,927
2026-03-01$32,908
2026-04-01$35,604
2026-05-01$36,235
2026-06-01$37,623
2026-07-01$38,711
Max DrawdownMax DrawdownThe largest peak-to-trough decline in the asset's value over the measurement period.Click for full definition →
42.1%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
0.51
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
0.75
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
27.4%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2025 · +55.6%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2018 · -18.0%
% 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

View full annual returns data
YearReturn
201724.0%
2018-18.0%
201924.9%
2020-14.1%
202133.7%
2022-16.3%
20231.6%
202433.5%
202555.6%
202610.0%

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
20266.3-4.0-8.48.21.83.82.910.0%
20250.212.31.0-4.110.70.65.09.80.42.72.85.055.6%
20243.48.26.40.3-0.0-1.99.2-2.72.2-6.93.49.233.5%
202312.54.2-10.21.6-2.04.57.1-11.5-2.1-12.32.810.71.6%
20222.0-16.21.4-0.9-7.9-7.8-4.3-6.92.83.55.714.5-16.3%
2021-0.13.44.14.04.3-4.66.04.99.33.5-6.21.733.7%
2020-1.6-9.7-30.519.5-5.39.0-5.52.2-13.5-2.240.2-1.5-14.1%
20195.79.6-4.56.3-8.5-1.81.3-9.913.45.56.61.724.9%
20189.1-0.7-7.52.1-7.91.1-0.4-7.44.7-4.65.9-11.8-18.0%
20172.6-4.37.37.02.9-1.05.5-1.33.7-0.5-2.93.524.0%
20166.214.3-2.27.03.63.936.8%

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
53.6%
View full factor risk breakdown
FactorRisk Exposure
VTI.US23.8%
VEA.US13.7%
VWO.US1.3%
QQQ.US-3.4%
VTV.US2.1%
IJR.US-1.6%
QUAL.US-2.8%
SHV.US51.0%
TLT.US1.2%
LQD.US2.1%
HYG.US-0.1%
GLD.US1.8%
USO.US0.4%
VNQ.US-0.1%
BTC-USD.CC0.9%
CPER.US-0.1%
VIX.INDX0.9%
UUP.US0.6%
TIP.US1.7%
Idiosyncratic6.7%

KBC Groep NV Business Fundamentals

Company financial statements are not available for 0EYG.LSE from our data provider. Return, risk, and factor analysis above are computed independently from daily price history.

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
$905
Avg Yield on Cost
9.05%
Annual Income Simulation Table
Historical Realised Yields
YearAnnual PayoutYield on CostQuality
2026$905.099.05%

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 →
+5.1%
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 →
+9.5%
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 →
0.0% 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 →
0.63
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 →
54
OversoldNeutralOverbought
Neutral
Fibonacci LevelsFibonacci RetracementTechnical levels based on mathematical ratios that indicate potential support and resistance areas.Click for full definition →
38.2% retracement+11.5%
50.0% retracement+15.7%
61.8% retracement+20.1%
% distance of current price from each 52-week Fibonacci support level.

In-Depth Analysis

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

KBC Groep NV (0EYG.LSE) has delivered strong annualized growth of 12.4% over the last 10 years. A $10,000 investment at the start of the period would have grown to approximately $32,190, representing a total return of 222%. Over this period, 0EYG.LSE generated positive annual returns in 7 out of 10 calendar years (70%).

The best single calendar year for 0EYG.LSE was 2025, with a return of +55.6%. The worst year was 2018, when the asset declined 18.0%. 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 0.51 is considered acceptable 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.

0EYG.LSE — Drawdown, Volatility & Downside Risk

0EYG.LSE's annualized volatility of 27.4% is classified as elevated relative to the long-run US equity benchmark of approximately 15%. This above-average volatility means investors in 0EYG.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 42.1% — a severe bear-market collapse. 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 42% drawdown, for example, requires a 73% gain just to break even.

When evaluating 0EYG.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.

0EYG.LSE — Macroeconomic Factor Risk Exposure

The macroeconomic factor model attributes 51.0% of 0EYG.LSE's return variance to Short-Term Interest Rates. This means that when Short-Term Interest Rates rises or falls sharply, 0EYG.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 0EYG.LSE allocation.

The second-largest macro driver is US Equity (broad market), contributing 23.8% of variance. 6.7% of 0EYG.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 0EYG.LSE's factor exposures helps assess its marginal contribution to overall portfolio risk. Adding 0EYG.LSE alongside assets with low correlation to Short-Term Interest Rates — 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 KBC Groep NV a high-risk investment?

KBC Groep NV (0EYG.LSE) has an annualized volatility of 53.6% and experienced a maximum drawdown of 42.1% over the last 10 years. Its primary macro risk driver is SHV.US.

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

Over the past 10 years, 0EYG.LSE has generated a Compound Annual Growth Rate (CAGR) of 12.4%. A $10,000 investment would have grown to approximately $32,190. It has had a positive return in 70% of calendar years.

What is 0EYG.LSE's Sharpe ratio?

0EYG.LSE has a Sharpe ratio of 0.51 and a Sortino ratio of 0.75 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 0EYG.LSE's dividend yield?

0EYG.LSE has an average trailing dividend yield of 9.88%. On a $10,000 initial investment, it generated approximately $905 in cumulative income over the study period. All return metrics on this page use total return (dividends reinvested).

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

0EYG.LSE is currently above its 200-day moving average by 9.5%. 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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