Norwegian Air Shuttle ASA

10-Year Study

0FGH.LSE · · GB · Common Stock

Executive Summary: Norwegian Air Shuttle ASA has compounded at -53.4% annually over the last 10 years, with a maximum drawdown of 100.0% and an annualized volatility of 77.0%.

1Y CAGR
-9.5%
3Y CAGR
+15.8%
5Y CAGR
+8.2%
10Y CAGR
-53.4%

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

Max DrawdownMax DrawdownThe largest peak-to-trough decline in the asset's value over the measurement period.Click for full definition →
100.0%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
-0.44
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
-0.69
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
82.8%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2025 · +66.7%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2020 · -97.7%
% Positive Years% Positive YearsThe percentage of calendar years in the measurement period where the asset delivered a positive return.Click for full definition →
30%

Annual Returns

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
2026-5.92.2-15.01.816.3-12.3——————-15.2%
2025-0.65.43.414.03.53.517.25.4-6.1-1.29.20.966.7%
202420.934.6-6.1-10.5-3.7-11.6-9.2-3.218.1-18.15.7-1.72.7%
202327.819.7-6.2-3.326.1-20.4-1.6-10.3-5.8-6.424.07.845.0%
202212.5-9.3-1.823.2-15.2-26.212.4-9.3-14.715.65.9-16.1-31.1%
2021-34.6-6.524.1-16.1-81.99.5-5.1-9.63.93.8-12.018.4-87.8%
2020-4.0-47.8-53.3-40.3-29.8-26.8-16.5-50.1-17.7-34.5-39.4139.6-97.7%
2019-25.6-55.3-22.6-18.9-13.210.915.2-9.0-1.424.4-12.5-3.7-78.3%
201826.9-19.6-7.780.8-16.4-2.9-2.810.4-7.3-12.60.9-19.7-2.5%
2017-5.8-4.0-9.24.5-7.07.0-21.91.719.9-0.5-21.2-2.3-37.6%
2016—————-15.95.00.4-3.6-3.6-6.27.8-16.7%

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 77.0%. The dominant macroeconomic risk driver is VTV.US, accounting for 13.4% of variance. Idiosyncratic stock-specific factors contribute 37.6%.

10-Year Historical Price Series (Growth of $10,000)
DateSimulated Value
2016-05-0110000
2016-06-018412.280699964826
2016-07-018834.79532171877
2016-08-018874.269005034515
2016-09-018555.555549373434
2016-10-018244.78877874635
2016-11-017730.1946032461565
2016-12-018333.333333333334
2017-01-017851.752647340722
2017-02-017540.494212553977
2017-03-016849.780686441432
2017-04-017160.986047711132
2017-05-016656.301380967969
2017-06-017121.282203994731
2017-07-015564.3771654002685
2017-08-015658.403562084272
2017-09-016784.372135996768
2017-10-016753.778329025229
2017-11-015322.1165592482785
2017-12-015201.7543848261
2018-01-016602.339183889549
2018-02-015308.484671215311
2018-03-014898.391818030823
2018-04-018856.725132045025
2018-05-017405.607513508694
2018-06-017188.596486266103
2018-07-016989.766059664513
2018-08-017715.532464588172
2018-09-017154.970750309984
2018-10-016254.38596051972
2018-11-016312.356058176908
2018-12-015070.906435148177
2019-01-013770.467838941652
2019-02-011684.2105087455484
2019-03-011303.7166354664243
2019-04-011056.8128538828212
2019-05-01917.8362484109397
2019-06-011017.5438606252474
2019-07-011172.222221294904
2019-08-011066.368714352996
2019-09-011051.608187223981
2019-10-011308.4795276898387
2019-11-011144.5116941853626
2019-12-011102.3391746163654
2020-01-011057.8947252262235
2020-02-01552.1929757778217
2020-03-01258.0116946830234
2020-04-01154.07164722027656
2020-05-01108.15789290335488
2020-06-0179.12281525278108
2020-07-0166.08187625818933
2020-08-0132.945918914534126
2020-09-0127.122792774585612
2020-10-0117.777773573934844
2020-11-0110.774851278701142
2020-12-0125.818705057248398
2021-01-0116.89159730124906
2021-02-0115.789479508420165
2021-03-0119.59064992876928
2021-04-0116.442991621054816
2021-05-012.971776937887052
2021-06-013.2538053418071433
2021-07-013.0886499535843197
2021-08-012.792680864639244
2021-09-012.900589803491177
2021-10-013.0116825351536938
2021-11-012.648853797186352
2021-12-013.137148700378557
2022-01-013.528662484250967
2022-02-013.1996808640272136
2022-03-013.142094397948396
2022-04-013.870564739375926
2022-05-013.280326645025407
2022-06-012.4208880498265675
2022-07-012.721153713535441
2022-08-012.469170422352125
2022-09-012.1069289859712015
2022-10-012.4350760197300443
2022-11-012.577821215839534
2022-12-012.162289888143591
2023-01-012.7634085171477567
2023-02-013.30848621056368
2023-03-013.103270672025157
2023-04-013.000369251962686
2023-05-013.783242266658449
2023-06-013.0116825351536938
2023-07-012.9649147825089
2023-08-012.660136169767548
2023-09-012.5053358358315756
2023-10-012.345280698227648
2023-11-012.907081031551591
2023-12-013.134799494032883
2024-01-013.789269835571692
2024-02-015.098612356576858
2024-03-014.78938261602265
2024-04-014.287116117195648
2024-05-014.126937337152476
2024-06-013.6481938123920226
2024-07-013.3113918078859603
2024-08-013.203884706961577
2024-09-013.783613193976188
2024-10-013.097737672868899
2024-11-013.275102751967264
2024-12-013.2194945649163826
2025-01-013.200144523174386
2025-02-013.3713583909202636
2025-03-013.4855112729541187
2025-04-013.9744862095621767
2025-05-014.112842099078433
2025-06-014.258740177388694
2025-07-014.991167076872096
2025-08-015.258358388082669
2025-09-014.935095230674042
2025-10-014.874108597515961
2025-11-015.321261479049063
2025-12-015.366854628521021
2026-01-015.051411855394702
2026-02-015.163679190230057
2026-03-014.388224721889053
2026-04-014.4665831177611945
2026-05-015.193878856015889
2026-06-014.552669166086212
Annual Return Matrix
YearAnnual Return
2017-0.3757894738208679
2018-0.025154580550672878
2019-0.7826149646588472
2020-0.9765782568089955
2021-0.8784931818453913
2022-0.31074676572306903
20230.4497591239832459
20240.02701769955134825
20250.6669867025106813
2026-0.15170626349892014
Total Factor Risk
0.7704910187772632
VTI.US Exposure
0.05043791844544242
VEA.US Exposure
0.0969165960095962
VWO.US Exposure
0.0028448997597035086
QQQ.US Exposure
0.06798955757995537
VTV.US Exposure
0.13435730324412729
IJR.US Exposure
-0.01277792991412244
QUAL.US Exposure
0.10801802816944826
SHV.US Exposure
0.028217627141535483
TLT.US Exposure
0.020477951655453887
LQD.US Exposure
0.008325068363823233
HYG.US Exposure
-0.0015865981532274466
GLD.US Exposure
0.007033768071206654
USO.US Exposure
0.00349908241381811
VNQ.US Exposure
-0.000045771345544999175
BTC-USD.CC Exposure
0.12260681830011977
CPER.US Exposure
0.002470060737244342
VIX.INDX Exposure
-0.019627120945006994
UUP.US Exposure
0.0034525409103285153
TIP.US Exposure
0.0013788402860433237
Idiosyncratic Exposure
0.3760113592700556
Value Score
50
Growth Score
50
Profit Score
37.5
Health Score
23.6
Yield Score
100
Moat Score
40

Factor Risk Decomposition

Share of annualised volatility attributable to each macro factor.

Total Est. Vol
77.0%

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
Forward P/EForward P/E RatioA valuation metric that compares the current stock price to estimated future earnings per share.Click for full definition →No estimate availableN/A
Dividend YieldDividend YieldAnnual dividend paid per share divided by the current share price — expressed as a percentage income return.Click for full definition →9.98%
Squeeze RiskShort Squeeze RiskA situation where a sharp rise in the price of a stock forces short sellers to buy shares to cover their positions, further driving up the price.Click for full definition →Low
Market Cap$12.0B
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%
Annual Income Simulation Table
Historical Realised Yields
YearAnnual PayoutYield on CostQuality
2026$0.250.00%Solid

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 →
+0.8%
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 →
-6.9%
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 →
17.6% 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 →
0.81
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 →
✦ Death Cross
Bearish — 50 SMA below 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 →
55
OversoldNeutralOverbought
Neutral
Fibonacci LevelsFibonacci RetracementTechnical levels based on mathematical ratios that indicate potential support and resistance areas.Click for full definition →
38.2% retracement-5.3%
50.0% retracement-0.7%
61.8% retracement+4.3%
% distance of current price from each 52-week Fibonacci support level.

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Frequently Asked Questions & Methodology

Is Norwegian Air Shuttle ASA a high-risk investment?

Norwegian Air Shuttle ASA (0FGH.LSE) has an annualized volatility of 77.0% and experienced a maximum drawdown of 100.0% over the last 10 years. Its primary macro risk driver is VTV.US.

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

Over the past 10 years, 0FGH.LSE has generated a Compound Annual Growth Rate (CAGR) of -53.4%. It has had a positive return in 30% 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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