Norwegian Energy Co. ASA (0HTF.LSE)

10-Year Study

0HTF.LSE · Unknown · Common Stock

About Norwegian Energy Co. ASA (0HTF.LSE)

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BlueNord ASA, an oil and gas company, produces and develops resources that support the energy transition towards net zero. It is involved in the exploration and oil and gas infrastructure activities....

Source: EODHD Financial Datasets
Fundamentals updated: Sep 6, 2026

Fundamental Snapshot

Norwegian Energy Co. ASA (0HTF.LSE) reports a gross margin of 63.3% and an operating margin of 23.7%. Revenue changed -1.9% year-over-year while EPS changed -48.6%. Financially, its return on equity is 13.7%, current ratio stands at 1.07x, debt-to-equity ratio is 8.37x.

Executive Summary: Norwegian Energy Co. ASA has compounded at 23.2% annually over the last 10 years, with a maximum drawdown of 94.8% and an annualized volatility of 52.3%.

1Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+46.6%
3Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+9.6%
5Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+36.4%
10Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+23.2%

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

View full price history data
DateValue
2016-08-01$10,000
2016-09-01$8,923
2016-11-01$11,500
2016-12-01$26,824
2017-01-01$27,527
2017-02-01$31,206
2017-03-01$28,468
2017-04-01$28,475
2017-05-01$30,546
2017-09-01$34,592
2017-10-01$33,853
2017-12-01$33,768
2018-03-01$38,471
2018-04-01$38,471
2018-05-01$17,906
2018-06-01$18,242
2018-12-01$26,353
2019-10-01$24,471
2019-12-01$26,765
2020-01-01$28,529
2020-03-01$13,769
2020-04-01$14,706
2020-05-01$17,706
2020-06-01$18,118
2020-07-01$17,706
2020-08-01$18,000
2020-09-01$16,588
2020-10-01$15,529
2020-11-01$16,882
2020-12-01$16,824
2021-01-01$16,529
2021-02-01$15,882
2021-03-01$18,529
2021-04-01$17,200
2021-05-01$15,976
2021-06-01$16,165
2021-07-01$17,057
2021-08-01$16,518
2021-09-01$16,235
2021-10-01$19,388
2021-11-01$17,247
2021-12-01$17,953
2022-01-01$19,012
2022-02-01$21,114
2022-03-01$32,706
2022-04-01$41,417
2022-05-01$44,059
2022-06-01$39,588
2022-07-01$55,647
2022-08-01$41,765
2022-09-01$41,408
2022-10-01$44,949
2022-11-01$45,219
2022-12-01$46,059
2023-01-01$48,064
2023-02-01$47,292
2023-03-01$41,176
2023-04-01$42,706
2023-05-01$45,481
2023-06-01$48,113
2023-07-01$52,000
2023-08-01$56,000
2023-09-01$60,941
2023-10-01$68,471
2023-11-01$58,054
2023-12-01$58,529
2024-01-01$58,936
2024-02-01$64,176
2024-03-01$67,423
2024-04-01$66,941
2024-05-01$64,706
2024-06-01$64,588
2024-07-01$59,294
2024-08-01$56,353
2024-09-01$54,412
2024-10-01$63,765
2024-11-01$69,176
2024-12-01$3,589
2025-01-01$78,941
2025-02-01$78,353
2025-03-01$75,180
2025-04-01$70,193
2025-05-01$69,156
2025-06-01$66,647
2025-07-01$68,309
2025-08-01$68,339
2025-09-01$62,911
2025-10-01$62,931
2025-11-01$64,109
2025-12-01$66,033
2026-01-01$67,116
2026-02-01$76,114
2026-03-01$84,046
2026-04-01$88,216
2026-05-01$78,115
2026-06-01$74,599
2026-07-01$77,307
2026-08-01$82,246
2026-09-01$89,368
Max DrawdownMax DrawdownThe largest peak-to-trough decline in the asset's value over the measurement period.Click for full definition →
94.8%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
1.67
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
19.71
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
737.5%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2025 · +1739.7%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2024 · -93.9%
% Positive Years% Positive YearsThe percentage of calendar years in the measurement period where the asset delivered a positive return.Click for full definition →
70%

Annual Returns

View full annual returns data
YearReturn
201725.9%
2018-22.0%
20191.6%
2020-37.1%
20216.7%
2022156.6%
202327.1%
2024-93.9%
20251739.7%
202635.3%

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
20261.613.410.45.0-11.5-4.53.66.48.735.3%
20252099.4-0.7-4.0-6.6-1.5-3.62.50.0-7.90.01.93.01739.7%
20240.78.95.1-0.7-3.3-0.2-8.2-5.0-3.417.28.5-94.8-93.9%
20234.4-1.6-12.93.76.55.88.17.78.812.4-15.20.827.1%
20225.911.154.926.66.4-10.140.6-24.9-0.98.60.61.9156.6%
2021-1.7-3.916.7-7.2-7.11.25.5-3.2-1.719.4-11.04.16.7%
20206.6-51.76.820.42.3-2.31.7-7.8-6.48.7-0.3-37.1%
2019-7.19.41.6%
201813.90.0-53.51.944.5-22.0%
20172.613.4-8.80.07.313.2-2.1-0.325.9%
2016-10.828.9133.2168.2%

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
52.3%
View full factor risk breakdown
FactorRisk Exposure
VTI.US24.3%
VEA.US-0.9%
VWO.US0.6%
QQQ.US4.5%
VTV.US2.8%
IJR.US-0.0%
QUAL.US8.5%
SHV.US3.3%
TLT.US4.4%
LQD.US-0.2%
HYG.US0.6%
GLD.US-0.4%
USO.US7.1%
VNQ.US1.1%
BTC-USD.CC0.6%
CPER.US0.6%
VIX.INDX1.5%
UUP.US16.2%
TIP.US-0.0%
Idiosyncratic25.5%

Norwegian Energy Co. ASA Business Fundamentals

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

Valuation Multiples

Price-to-Sales (P/S)
4.84x

Profitability & Margins

Gross Margin (TTM)
63.3%
Operating Margin (TTM)
23.7%
Return on Equity (ROE)
13.7%

Year-over-Year Growth

Revenue Growth (YoY)
-1.9%
EPS Growth (YoY)
-48.6%

Financial Position

Debt-to-Equity
8.37x
Current Ratio
1.07x

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
$21,823
Avg Yield on Cost
218.23%
Annual Income Simulation Table
Historical Realised Yields
YearAnnual PayoutYield on CostQuality
2026$21,822.9218.23%Moderate

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 →
+13.0%
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 →
+17.3%
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 →
0.8% 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 →
-0.19
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 →
81
OversoldNeutralOverbought
Overbought
Fibonacci LevelsFibonacci RetracementTechnical levels based on mathematical ratios that indicate potential support and resistance areas.Click for full definition →
38.2% retracement+56.5%
50.0% retracement+90.4%
61.8% retracement+143.2%
% distance of current price from each 52-week Fibonacci support level.

In-Depth Analysis

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

Norwegian Energy Co. ASA (0HTF.LSE) has delivered exceptional annualized growth of 23.2% over the last 10 years. A $10,000 investment at the start of the period would have grown to approximately $80,488, representing a total return of 705%. Over this period, 0HTF.LSE generated positive annual returns in 7 out of 10 calendar years (70%).

The best single calendar year for 0HTF.LSE was 2025, with a return of +1739.7%. The worst year was 2024, when the asset declined 93.9%. 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 1.67 is considered excellent 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.

0HTF.LSE — Drawdown, Volatility & Downside Risk

0HTF.LSE's annualized volatility of 737.5% is classified as high relative to the long-run US equity benchmark of approximately 15%. This above-average volatility means investors in 0HTF.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 94.8% — 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 95% drawdown, for example, requires a 1827% gain just to break even.

When evaluating 0HTF.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.

0HTF.LSE — Macroeconomic Factor Risk Exposure

The macroeconomic factor model attributes 24.3% of 0HTF.LSE's return variance to US Equity (broad market). This means that when US Equity (broad market) rises or falls sharply, 0HTF.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 0HTF.LSE allocation.

The second-largest macro driver is US Dollar Strength, contributing 16.2% of variance. 25.5% of 0HTF.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 0HTF.LSE's factor exposures helps assess its marginal contribution to overall portfolio risk. Adding 0HTF.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 Norwegian Energy Co. ASA a high-risk investment?

Norwegian Energy Co. ASA (0HTF.LSE) has an annualized volatility of 52.3% and experienced a maximum drawdown of 94.8% over the last 10 years. Its primary macro risk driver is VTI.US.

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

Over the past 10 years, 0HTF.LSE has generated a Compound Annual Growth Rate (CAGR) of 23.2%. A $10,000 investment would have grown to approximately $80,488. It has had a positive return in 70% of calendar years.

What is 0HTF.LSE's Sharpe ratio?

0HTF.LSE has a Sharpe ratio of 1.67 and a Sortino ratio of 19.71 over the 10-year period. The Sharpe ratio measures risk-adjusted return — how much excess return is earned per unit of volatility. A reading of 1.67 indicates efficient return generation relative to risk taken.

What is 0HTF.LSE's dividend yield?

0HTF.LSE has an average trailing dividend yield of 0.64%. On a $10,000 initial investment, it generated approximately $21,823 in cumulative income over the study period. All return metrics on this page use total return (dividends reinvested).

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

0HTF.LSE is currently above its 200-day moving average by 17.3%. 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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