Telecom Italia (0H6I.LSE)

10-Year Study

0H6I.LSE · Unknown · Common Stock

About Telecom Italia (0H6I.LSE)

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Telecom Italia S.p.A., together with its subsidiaries, engages in the fixed and mobile telecommunications services and products for individuals, households, and supports small and medium-sized enterprises in Italy and internationally. It operates through Domestic, Brazil, and Other Operations segments....

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

Fundamental Snapshot

Telecom Italia (0H6I.LSE) reports a gross margin of 44.6% and an operating margin of 5.4%. Revenue changed +1.4% year-over-year while EPS changed -136.2%. Financially, its return on equity is 3.1%, current ratio stands at 0.70x.

Executive Summary: Telecom Italia has compounded at 0.5% annually over the last 10 years, with a maximum drawdown of 97.7% and an annualized volatility of 186.2%.

1Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+2239.5%
3Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+210.9%
5Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+89.1%
10Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+0.5%

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$10,663
2016-09-01$9,687
2016-10-01$10,414
2016-11-01$9,425
2016-12-01$11,086
2017-01-01$10,411
2017-02-01$10,092
2017-03-01$11,105
2017-04-01$10,655
2017-05-01$10,932
2017-06-01$10,604
2017-07-01$11,451
2017-08-01$10,558
2017-09-01$10,377
2017-10-01$9,782
2017-11-01$9,316
2017-12-01$9,537
2018-01-01$9,543
2018-02-01$9,651
2018-03-01$10,110
2018-04-01$10,738
2018-05-01$9,027
2018-06-01$8,343
2018-07-01$8,640
2018-08-01$7,205
2018-09-01$6,892
2018-10-01$6,787
2018-11-01$7,585
2018-12-01$6,389
2019-01-01$6,331
2019-02-01$7,015
2019-03-01$7,302
2019-04-01$657
2019-05-01$577
2019-06-01$627
2019-07-01$673
2019-08-01$634
2019-09-01$686
2019-10-01$688
2019-11-01$754
2019-12-01$733
2020-01-01$641
2020-02-01$657
2020-03-01$489
2020-04-01$477
2020-05-01$434
2020-06-01$474
2020-07-01$461
2020-08-01$544
2020-09-01$462
2020-10-01$393
2020-11-01$537
2020-12-01$509
2021-01-01$481
2021-02-01$532
2021-03-01$624
2021-04-01$613
2021-05-01$590
2021-06-01$576
2021-07-01$513
2021-08-01$529
2021-09-01$467
2021-10-01$424
2021-11-01$644
2021-12-01$600
2022-01-01$570
2022-02-01$526
2022-03-01$456
2022-04-01$384
2022-05-01$410
2022-06-01$346
2022-07-01$297
2022-08-01$287
2022-09-01$262
2022-10-01$275
2022-11-01$284
2022-12-01$302
2023-01-01$365
2023-02-01$429
2023-03-01$419
2023-04-01$369
2023-05-01$341
2023-06-01$355
2023-07-01$365
2023-08-01$395
2023-09-01$409
2023-10-01$335
2023-11-01$364
2023-12-01$407
2024-01-01$385
2024-02-01$387
2024-03-01$311
2024-04-01$307
2024-05-01$335
2024-06-01$309
2024-07-01$315
2024-08-01$330
2024-09-01$346
2024-10-01$320
2024-11-01$312
2024-12-01$339
2025-01-01$367
2025-02-01$373
2025-03-01$430
2025-04-01$476
2025-05-01$523
2025-06-01$576
2025-07-01$556
2025-08-01$568
2025-09-01$607
2025-10-01$711
2025-11-01$670
2025-12-01$707
2026-01-01$785
2026-02-01$874
2026-03-01$835
2026-04-01$921
2026-05-01$1,003
2026-06-01$10,980
2026-07-01$10,145
Max DrawdownMax DrawdownThe largest peak-to-trough decline in the asset's value over the measurement period.Click for full definition →
97.7%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
0.47
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
3.60
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
318.1%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2026 · +1334.2%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2019 · -88.5%
% Positive Years% Positive YearsThe percentage of calendar years in the measurement period where the asset delivered a positive return.Click for full definition →
40%

Annual Returns

View full annual returns data
YearReturn
2017-14.0%
2018-33.0%
2019-88.5%
2020-30.6%
202117.8%
2022-49.6%
202334.7%
2024-16.9%
2025108.9%
20261334.2%

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
202611.011.4-4.510.48.9994.5-7.61334.2%
20258.51.615.310.59.910.1-3.42.16.917.1-5.75.5108.9%
2024-5.40.4-19.6-1.18.9-7.71.84.84.9-7.5-2.68.6-16.9%
202320.817.4-2.4-12.0-7.54.22.78.23.6-18.18.611.934.7%
2022-4.9-7.7-13.4-15.76.8-15.6-14.2-3.4-8.54.63.56.4-49.6%
2021-5.410.617.2-1.7-3.8-2.3-10.93.1-11.7-9.251.6-6.817.8%
2020-12.62.4-25.6-2.4-9.09.1-2.818.1-15.0-15.036.6-5.1-30.6%
2019-0.910.84.1-91.0-12.18.57.4-5.88.20.29.6-2.7-88.5%
20180.11.14.86.2-15.9-7.63.6-16.6-4.4-1.511.8-15.8-33.0%
2017-6.1-3.110.0-4.12.6-3.08.0-7.8-1.7-5.7-4.82.4-14.0%
20166.6-9.17.5-9.517.610.9%

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
186.2%
View full factor risk breakdown
FactorRisk Exposure
VTI.US35.1%
VEA.US-0.7%
VWO.US1.1%
QQQ.US13.2%
VTV.US13.1%
IJR.US4.9%
QUAL.US0.2%
SHV.US12.2%
TLT.US0.5%
LQD.US-0.1%
HYG.US0.5%
GLD.US1.2%
USO.US1.0%
VNQ.US0.3%
BTC-USD.CC0.2%
CPER.US0.4%
VIX.INDX-0.1%
UUP.US0.2%
TIP.US1.5%
Idiosyncratic15.3%

Telecom Italia Business Fundamentals

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

Profitability & Margins

Gross Margin (TTM)
44.6%
Operating Margin (TTM)
5.4%
Return on Equity (ROE)
3.1%

Year-over-Year Growth

Revenue Growth (YoY)
+1.4%
EPS Growth (YoY)
-136.2%

Financial Position

Current Ratio
0.70x

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
$0
Avg Yield on Cost
0.00%

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 →
+23.1%
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 →
+281.7%
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 →
9.8% 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 →
0.76
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 →
15
OversoldNeutralOverbought
Oversold
Fibonacci LevelsFibonacci RetracementTechnical levels based on mathematical ratios that indicate potential support and resistance areas.Click for full definition →
38.2% retracement+41.5%
50.0% retracement+71.8%
61.8% retracement+118.4%
% distance of current price from each 52-week Fibonacci support level.

In-Depth Analysis

0H6I.LSE — 10-Year Return & Risk Profile

Telecom Italia (0H6I.LSE) has delivered near-flat annualized growth of 0.5% over the last 10 years. A $10,000 investment at the start of the period would have grown to approximately $10,481, representing a total return of 5%. Over this period, 0H6I.LSE generated positive annual returns in 4 out of 10 calendar years (40%).

The best single calendar year for 0H6I.LSE was 2026, with a return of +1334.2%. The worst year was 2019, when the asset declined 88.5%. 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 0.47 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.

0H6I.LSE — Drawdown, Volatility & Downside Risk

0H6I.LSE's annualized volatility of 318.1% is classified as high relative to the long-run US equity benchmark of approximately 15%. This above-average volatility means investors in 0H6I.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 97.7% — 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 98% drawdown, for example, requires a 4263% gain just to break even.

When evaluating 0H6I.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.

0H6I.LSE — Macroeconomic Factor Risk Exposure

The macroeconomic factor model attributes 35.1% of 0H6I.LSE's return variance to US Equity (broad market). This means that when US Equity (broad market) rises or falls sharply, 0H6I.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 0H6I.LSE allocation.

The second-largest macro driver is US Growth / Technology, contributing 13.2% of variance. 15.3% of 0H6I.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 0H6I.LSE's factor exposures helps assess its marginal contribution to overall portfolio risk. Adding 0H6I.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 Telecom Italia a high-risk investment?

Telecom Italia (0H6I.LSE) has an annualized volatility of 186.2% and experienced a maximum drawdown of 97.7% over the last 10 years. Its primary macro risk driver is VTI.US.

What is the 10-year return of 0H6I.LSE?

Over the past 10 years, 0H6I.LSE has generated a Compound Annual Growth Rate (CAGR) of 0.5%. A $10,000 investment would have grown to approximately $10,481. It has had a positive return in 40% of calendar years.

What is 0H6I.LSE's Sharpe ratio?

0H6I.LSE has a Sharpe ratio of 0.47 and a Sortino ratio of 3.60 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 0H6I.LSE's dividend yield?

0H6I.LSE does not pay a meaningful dividend. Its returns are driven primarily by price appreciation. Investors seeking regular income may wish to consider dividend-focused alternatives.

Is 0H6I.LSE above its 200-day moving average?

0H6I.LSE is currently above its 200-day moving average by 281.7%. 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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