Bandwidth Inc

10-Year Study

BAND.US · Technology · US · Common Stock

Executive Summary: Bandwidth Inc has compounded at -0.8% annually over the last 10 years, with a maximum drawdown of 94.0% and an annualized volatility of 145.9%.

1Y CAGR
+50.7%
3Y CAGR
+20.3%
5Y CAGR
-30.0%
10Y CAGR
-0.8%

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 →
94.0%
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 →
0.45
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
63.8%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2020 · +139.9%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2022 · -68.0%
% Positive Years% Positive YearsThe percentage of calendar years in the measurement period where the asset delivered a positive return.Click for full definition →
56%

Annual Returns

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
2026-9.66.120.214.6————————32.2%
20254.4-10.1-18.0-5.212.913.4-12.57.811.1-3.1-11.88.5-9.2%
2024-4.448.4-11.1-0.310.6-16.135.2-24.82.011.47.8-19.117.6%
20238.4-36.1-4.4-19.9-2.215.010.7-5.1-21.6-5.93.531.8-36.9%
2022-12.8-51.26.0-31.7-4.9-10.6-11.6-6.8-23.2-0.392.60.4-68.0%
202115.9-11.1-20.04.3-10.516.6-6.0-20.6-12.3-5.5-16.00.1-53.3%
202010.8-11.47.021.235.914.614.08.810.9-8.1-5.31.2139.9%
201913.120.920.212.6-3.83.4-0.717.0-25.3-13.8-0.414.557.2%
20181.017.619.0-0.615.01.8-7.730.017.6-0.4-12.6-12.776.3%
2017———————————5.95.9%

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.

Risk Profile Insight: This asset has an estimated annualized volatility of 145.9%. The dominant macroeconomic risk driver is SHV.US, accounting for 71.9% of variance. Idiosyncratic stock-specific factors contribute 6.8%.

10-Year Historical Price Series (Growth of $10,000)
DateSimulated Value
2017-11-0110000
2017-12-0110586.080586080587
2018-01-0110686.813186813186
2018-02-0112568.681318681318
2018-03-0114954.212454212453
2018-04-0114858.058608058609
2018-05-0117083.333333333336
2018-06-0117390.10989010989
2018-07-0116043.956043956045
2018-08-0120860.805860805864
2018-09-0124528.38827838828
2018-10-0124432.234432234432
2018-11-0121364.468864468865
2018-12-0118658.42490842491
2019-01-0121108.058608058607
2019-02-0125512.82051282051
2019-03-0130659.340659340658
2019-04-0134532.96703296703
2019-05-0133228.02197802198
2019-06-0134349.816849816845
2019-07-0134111.72161172161
2019-08-0139922.16117216117
2019-09-0129812.271062271062
2019-10-0125709.706959706957
2019-11-0125608.974358974356
2019-12-0129326.923076923074
2020-01-0132490.842490842486
2020-02-0128795.787545787545
2020-03-0130810.43956043956
2020-04-0137344.32234432235
2020-05-0150755.494505494506
2020-06-0158150.18315018315
2020-07-0166291.2087912088
2020-08-0172106.2271062271
2020-09-0179931.31868131868
2020-10-0173422.61904761904
2020-11-0169496.33699633699
2020-12-0170361.7216117216
2021-01-0181565.93406593405
2021-02-0172509.15750915752
2021-03-0158031.13553113553
2021-04-0160531.13553113553
2021-05-0154162.08791208792
2021-06-0163150.18315018315
2021-07-0159368.13186813187
2021-08-0147115.38461538462
2021-09-0141336.996336996344
2021-10-0139047.619047619046
2021-11-0132811.35531135531
2021-12-0132857.14285714286
2022-01-0128667.582417582416
2022-02-0113988.09523809524
2022-03-0114830.586080586081
2022-04-0110128.205128205127
2022-05-019633.699633699634
2022-06-018617.216117216118
2022-07-017614.468864468864
2022-08-017097.069597069597
2022-09-015448.717948717949
2022-10-015434.981684981684
2022-11-0110467.032967032968
2022-12-0110508.241758241758
2023-01-0111391.941391941391
2023-02-017280.21978021978
2023-03-016959.706959706959
2023-04-015572.344322344323
2023-05-015448.717948717949
2023-06-016263.736263736264
2023-07-016936.813186813187
2023-08-016579.67032967033
2023-09-015160.256410256409
2023-10-014858.058608058608
2023-11-015027.472527472527
2023-12-016625.457875457876
2024-01-016336.996336996337
2024-02-019404.761904761905
2024-03-018360.805860805862
2024-04-018333.333333333332
2024-05-019217.032967032967
2024-06-017728.937728937728
2024-07-0110448.71794871795
2024-08-017857.142857142857
2024-09-018017.399267399268
2024-10-018928.57142857143
2024-11-019629.12087912088
2024-12-017793.040293040293
2025-01-018136.446886446886
2025-02-017312.271062271063
2025-03-015998.1684981684975
2025-04-015686.813186813187
2025-05-016419.413919413919
2025-06-017280.21978021978
2025-07-016369.047619047618
2025-08-016868.131868131868
2025-09-017632.783882783883
2025-10-017394.688644688644
2025-11-016520.146520146521
2025-12-017074.175824175823
2026-01-016396.520146520147
2026-02-016785.714285714286
2026-03-018159.340659340659
2026-04-019349.81684981685
Annual Return Matrix
YearAnnual Return
20180.7625432525951557
20190.5717791411042945
20201.3992193598750977
2021-0.5330253139845123
2022-0.6801839464882944
2023-0.3694989106753812
20240.17622667588113328
2025-0.09224441833137487
20260.3216828478964402
Total Factor Risk
1.4587387949625181
VTI.US Exposure
0.09592900764808465
VEA.US Exposure
-0.008948132361660262
VWO.US Exposure
0.009018724219504191
QQQ.US Exposure
-0.011026925451187386
VTV.US Exposure
0.009140235931154412
IJR.US Exposure
-0.008295450993181765
QUAL.US Exposure
-0.01395468318651888
SHV.US Exposure
0.7191142847231162
TLT.US Exposure
0.011751406158957015
LQD.US Exposure
0.052295339194572577
HYG.US Exposure
0.008469823502794236
GLD.US Exposure
-0.0015787335985694175
USO.US Exposure
-0.0011733411883841313
VNQ.US Exposure
0.005881128677770501
BTC-USD.CC Exposure
-0.0007092484722185294
CPER.US Exposure
0.007174970455437859
VIX.INDX Exposure
-0.0020452901866018693
UUP.US Exposure
0.008431866849476161
TIP.US Exposure
0.052519421233145555
Idiosyncratic Exposure
0.0680055968443089
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
145.9%

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$566.5M
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 →
+30.1%
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 →
+33.9%
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 →
2.03
Market sensitivity coefficient

Frequently Asked Questions & Methodology

Is Bandwidth Inc a high-risk investment?

Bandwidth Inc (BAND.US) has an annualized volatility of 145.9% and experienced a maximum drawdown of 94.0% over the last 10 years. Its primary macro risk driver is SHV.US.

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

Over the past 10 years, BAND.US has generated a Compound Annual Growth Rate (CAGR) of -0.8%. It has had a positive return in 56% 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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