Capital Group Municipal Income ETF

10-Year Study

CGMU.US · · US · ETF

Executive Summary: Capital Group Municipal Income ETF has compounded at 5.6% annually over the last 10 years, with a maximum drawdown of 3.5% and an annualized volatility of 5.4%.

1Y CAGR
+6.0%
3Y CAGR
+4.5%
5Y CAGR
+5.6%
10Y CAGR
+5.6%

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 →
3.5%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
0.24
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
0.62
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
5.2%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2023 · +6.8%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2026 · 0.4%
% Positive Years% Positive YearsThe percentage of calendar years in the measurement period where the asset delivered a positive return.Click for full definition →
100%

Annual Returns

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
20261.01.0-2.51.0————————0.4%
20250.71.1-1.3-0.50.10.70.10.82.20.70.20.35.2%
20240.20.00.3-1.00.11.21.40.51.1-1.31.2-1.02.6%
20232.7-1.91.80.1-0.90.80.3-0.7-1.7-1.15.02.46.8%
2022——————————4.60.04.6%

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 5.4%. The dominant macroeconomic risk driver is LQD.US, accounting for 52.8% of variance. Idiosyncratic stock-specific factors contribute 6.4%.

10-Year Historical Price Series (Growth of $10,000)
DateSimulated Value
2022-10-0110000
2022-11-0110460.360992973576
2022-12-0110464.424040877795
2023-01-0110751.66386228034
2023-02-0110548.643957761968
2023-03-0110740.799625492977
2023-04-0110747.644977940297
2023-05-0110650.838445265887
2023-06-0110738.282302334926
2023-07-0110767.739399640508
2023-08-0110687.185058582969
2023-09-0110508.896750003312
2023-10-0110392.393267706277
2023-11-0110910.166894109021
2023-12-0111172.012666110204
2024-01-0111190.914671577653
2024-02-0111196.170135714634
2024-03-0111229.999425873664
2024-04-0111115.880776042148
2024-05-0111126.83333995787
2024-06-0111258.484924767366
2024-07-0111411.820819587423
2024-08-0111470.955832019466
2024-09-0111591.963997862484
2024-10-0111441.587061842238
2024-11-0111580.260653355766
2024-12-0111467.290256192835
2025-01-0111549.390321996547
2025-02-0111672.165030406613
2025-03-0111517.106756583682
2025-04-0111457.97174415164
2025-05-0111473.075683099929
2025-06-0111557.251436419923
2025-07-0111569.131435183346
2025-08-0111663.55313539224
2025-09-0111917.140320892458
2025-10-0111998.312951848466
2025-11-0112024.104473327416
2025-12-0112062.43844703243
2026-01-0112180.310999818928
2026-02-0112303.968979512523
2026-03-0111990.40767386091
2026-04-0112105.232940719248
Annual Return Matrix
YearAnnual Return
20230.0676184969634559
20240.026430115943060217
20250.05189963605553527
20260.003547748150155128
Total Factor Risk
0.05421445041240916
VTI.US Exposure
0.0522797698553504
VEA.US Exposure
-0.042271502601061293
VWO.US Exposure
0.07851596116049626
QQQ.US Exposure
-0.03293699916857976
VTV.US Exposure
0.09590241679011395
IJR.US Exposure
-0.04135536425986016
QUAL.US Exposure
-0.004641917521041535
SHV.US Exposure
0.11720172493580053
TLT.US Exposure
0.12062178458732561
LQD.US Exposure
0.5283973678936156
HYG.US Exposure
-0.040370938200426386
GLD.US Exposure
-0.005169965562282558
USO.US Exposure
0.012236555040708691
VNQ.US Exposure
0.04968048579989138
BTC-USD.CC Exposure
0.009767222624229209
CPER.US Exposure
-0.0006366589141868077
VIX.INDX Exposure
-0.01951000421957728
UUP.US Exposure
-0.003454445755786643
TIP.US Exposure
0.061464776539179755
Idiosyncratic Exposure
0.06427973097609112
Value Score
50
Growth Score
50
Profit Score
37.5
Health Score
23.6
Yield Score
0
Moat Score
40

Factor Risk Decomposition

Share of annualised volatility attributable to each macro factor.

Total Est. Vol
5.4%

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 →0.00%
Market Cap$0
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
$70
Avg Yield on Cost
0.70%
Annual Income Simulation Table
Historical Realised Yields
YearAnnual PayoutYield on CostQuality
2026$70.30.70%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 →
-0.4%
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 →
+1.3%
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 →
1.6% 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 →
0.78
Market sensitivity coefficient

Frequently Asked Questions & Methodology

Is Capital Group Municipal Income ETF a high-risk investment?

Capital Group Municipal Income ETF (CGMU.US) has an annualized volatility of 5.4% and experienced a maximum drawdown of 3.5% over the last 10 years. Its primary macro risk driver is LQD.US.

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

Over the past 10 years, CGMU.US has generated a Compound Annual Growth Rate (CAGR) of 5.6%. It has had a positive return in 100% 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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