Cellnex Telecom S.A

10-Year Study

CLLNY.US · Real Estate · US · Common Stock

Executive Summary: Cellnex Telecom S.A has compounded at 11.2% annually over the last 10 years, with a maximum drawdown of 97.1% and an annualized volatility of 46.0%.

1Y CAGR
-9.0%
3Y CAGR
-4.5%
5Y CAGR
-10.4%
10Y CAGR
+11.2%

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

Max DrawdownMax DrawdownThe largest peak-to-trough decline in the asset's value over the measurement period.Click for full definition →
97.1%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
1.61
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
25.66
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
811.6%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2019 · +129.1%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2022 · -43.2%
% Positive Years% Positive YearsThe percentage of calendar years in the measurement period where the asset delivered a positive return.Click for full definition →
78%

Annual Returns

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
2026-3.423.3-15.27.9————————9.0%
20256.66.4-1.014.2-5.51.1-8.30.3-2.6-10.0-4.27.82.0%
2024-1.3-7.4-1.7-6.29.6-10.57.011.05.2-10.0-1.8-12.0-19.6%
202318.1-3.23.08.5-4.1-0.11.5-6.4-8.9-16.130.83.019.7%
2022-22.41.06.5-3.3-4.2-14.014.8-12.3-20.15.02.7-1.7-43.2%
2021-2.3-6.85.52.17.15.02.35.1-9.8-0.4-4.8-0.60.8%
20204.72.62243.6-95.48.2-1.512.99.8-5.05.3-1.4-5.044.4%
2019———22.40.031.41.917.33.11.010.73.3129.1%
2018———8.4-6.5—6.0-2.4——1.1—6.2%
2017————————8.2—7.7—16.4%

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 46.0%. The dominant macroeconomic risk driver is SHV.US, accounting for 55.1% of variance. Idiosyncratic stock-specific factors contribute 13.2%.

10-Year Historical Price Series (Growth of $10,000)
DateSimulated Value
2017-08-0110000
2017-09-0110817.189710425268
2017-11-0111644.772930681065
2018-04-0112628.114444091578
2018-05-0111810.347316453504
2018-07-0112519.560008083843
2018-08-0112223.633686520197
2018-11-0112363.65736062592
2019-04-0115132.735658470465
2019-05-0115132.735658470465
2019-06-0119891.445563992263
2019-07-0120276.871553541016
2019-08-0123780.345545047174
2019-09-0124506.64079839433
2019-10-0124755.89687328579
2019-11-0127409.624646599805
2019-12-0128325.42952700452
2020-01-0129666.889731539908
2020-02-0130427.72180038687
2020-03-01713110.2578167855
2020-04-0133058.29026763288
2020-05-0135763.201201027805
2020-06-0135213.30834233527
2020-07-0139755.7525189826
2020-08-0143667.898490053994
2020-09-0141477.610647573405
2020-10-0143673.38395357566
2020-11-0143056.41366169126
2020-12-0140909.57646447441
2021-01-0139949.90905678899
2021-02-0137220.31353754656
2021-03-0139280.10508993273
2021-04-0140099.46011490603
2021-05-0142965.90351358375
2021-06-0145125.732598088754
2021-07-0146147.18364754453
2021-08-0148497.560412275896
2021-09-0143755.810260703875
2021-10-0143592.97860669226
2021-11-0141514.854057799464
2021-12-0141249.819557120994
2022-01-0132017.784450154464
2022-02-0132352.397724976185
2022-03-0134468.63180991426
2022-04-0133316.25140745446
2022-05-0131910.09613996593
2022-06-0127449.40381672778
2022-07-0131515.28712070907
2022-08-0127643.70470883737
2022-09-0122083.176949504865
2022-10-0123196.43733579698
2022-11-0123825.67774345353
2022-12-0123423.795363339785
2023-01-0127660.016745099176
2023-02-0126768.48456852499
2023-03-0127577.734792274157
2023-04-0129911.510812137312
2023-05-0128687.819383895836
2023-06-0128658.226751739472
2023-07-0129078.586482663046
2023-08-0127208.187776077604
2023-09-0124789.387071628607
2023-10-0120806.940554897945
2023-11-0127210.93050783844
2023-12-0128036.492767849413
2024-01-0127662.182059647203
2024-02-0125625.1984871669
2024-03-0125189.537200103936
2024-04-0123629.500245402316
2024-05-0125906.978087016778
2024-06-0123178.53740219996
2024-07-0124796.460432485488
2024-08-0127532.2631867656
2024-09-0128952.276467361495
2024-10-0126052.631578947367
2024-11-0125594.01795767532
2024-12-0122530.386580823975
2025-01-0124012.32785749343
2025-02-0125542.62782573549
2025-03-0125290.296503738777
2025-04-0128891.50330571354
2025-05-0127298.409215578715
2025-06-0127596.789560296795
2025-07-0125314.981089586283
2025-08-0125380.66229754309
2025-09-0124724.138926581407
2025-10-0122259.722262320643
2025-11-0121319.398331264256
2025-12-0122986.11311603199
2026-01-0122201.691832433527
2026-02-0127369.575887057195
2026-03-0123212.171954845973
2026-04-0125045.471605508563
Annual Return Matrix
YearAnnual Return
20180.06173451678484643
20191.2910234974006527
20200.44427029519437955
20210.008316954660776199
2022-0.43214793143753005
20230.19692356994071458
2024-0.1963906909690043
20250.020227195550914123
20260.08959141891807021
Total Factor Risk
0.46008563682776693
VTI.US Exposure
-0.040167417588000076
VEA.US Exposure
0.13842878242132065
VWO.US Exposure
-0.030294222611071134
QQQ.US Exposure
-0.02635255862957658
VTV.US Exposure
-0.05437330700443932
IJR.US Exposure
0.01996508601807273
QUAL.US Exposure
0.08293827831803682
SHV.US Exposure
0.5509987874546849
TLT.US Exposure
-0.01170076327245624
LQD.US Exposure
0.06777421295557379
HYG.US Exposure
-0.010781087173141428
GLD.US Exposure
0.0049721149627189
USO.US Exposure
0.0030595132123434864
VNQ.US Exposure
0.11896450419329008
BTC-USD.CC Exposure
-0.0007545254771207943
CPER.US Exposure
0.01915635105682768
VIX.INDX Exposure
0.00136779191392008
UUP.US Exposure
0.005100025395812996
TIP.US Exposure
0.02953578542014107
Idiosyncratic Exposure
0.13216264843306227
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
46.0%

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$22.4B
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
$0
Avg Yield on Cost
0.00%

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 →
-1.5%
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 →
+1.5%
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 →
69.2% 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 →
1.30
Market sensitivity coefficient

Frequently Asked Questions & Methodology

Is Cellnex Telecom S.A a high-risk investment?

Cellnex Telecom S.A (CLLNY.US) has an annualized volatility of 46.0% and experienced a maximum drawdown of 97.1% over the last 10 years. Its primary macro risk driver is SHV.US.

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

Over the past 10 years, CLLNY.US has generated a Compound Annual Growth Rate (CAGR) of 11.2%. It has had a positive return in 78% 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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