Orkla ASA (0FIN.LSE)

10-Year Study

0FIN.LSE · Unknown · Common Stock

About Orkla ASA (0FIN.LSE)

Unknown

Orkla ASA operates as an industrial investment company within brands and consumer-oriented businesses worldwide. It offers decorative paints, marine coatings, protective coatings, and powder coatings; frozen pizza, condiments, bread toppings, and ready-to-eat meals; bakery, ice cream, and plant-based products; and confectionery, biscuits, and salty snacks....

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

Fundamental Snapshot

Orkla ASA (0FIN.LSE) reports a gross margin of 47.7% and an operating margin of 9.9%. Revenue changed +1.3% year-over-year while EPS changed -4.5%. Financially, its return on equity is 13.6%, current ratio stands at 1.12x.

Executive Summary: Orkla ASA has compounded at 6.5% annually over the last 10 years, with a maximum drawdown of 24.2% and an annualized volatility of 19.3%.

1Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
-6.0%
3Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+12.7%
5Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+9.2%
10Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+6.5%

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$9,887
2016-09-01$10,624
2016-10-01$10,106
2016-11-01$9,848
2016-12-01$10,032
2017-01-01$9,929
2017-02-01$9,511
2017-03-01$9,848
2017-04-01$10,368
2017-05-01$11,357
2017-06-01$11,207
2017-07-01$10,914
2017-08-01$10,704
2017-09-01$10,820
2017-10-01$11,362
2017-11-01$11,781
2017-12-01$12,335
2018-01-01$11,442
2018-02-01$12,322
2018-03-01$11,951
2018-04-01$10,935
2018-05-01$10,796
2018-06-01$10,568
2018-07-01$10,156
2018-08-01$10,125
2018-09-01$10,067
2018-10-01$10,686
2018-11-01$10,363
2018-12-01$9,947
2019-01-01$10,020
2019-02-01$9,835
2019-03-01$9,642
2019-04-01$10,272
2019-05-01$11,482
2019-06-01$11,561
2019-07-01$11,516
2019-08-01$12,757
2019-09-01$12,645
2019-10-01$13,465
2019-11-01$13,471
2019-12-01$13,632
2020-01-01$13,565
2020-02-01$12,123
2020-03-01$13,437
2020-04-01$14,623
2020-05-01$13,579
2020-06-01$13,226
2020-07-01$13,974
2020-08-01$14,021
2020-09-01$14,772
2020-10-01$14,166
2020-11-01$13,382
2020-12-01$13,706
2021-01-01$12,963
2021-02-01$12,479
2021-03-01$13,296
2021-04-01$13,784
2021-05-01$14,161
2021-06-01$14,217
2021-07-01$13,062
2021-08-01$12,639
2021-09-01$12,938
2021-10-01$13,253
2021-11-01$13,391
2021-12-01$14,227
2022-01-01$13,740
2022-02-01$13,324
2022-03-01$12,658
2022-04-01$12,788
2022-05-01$12,284
2022-06-01$13,152
2022-07-01$13,928
2022-08-01$14,064
2022-09-01$13,358
2022-10-01$11,849
2022-11-01$11,790
2022-12-01$11,926
2023-01-01$12,506
2023-02-01$11,808
2023-03-01$12,499
2023-04-01$13,454
2023-05-01$14,022
2023-06-01$13,424
2023-07-01$14,017
2023-08-01$14,150
2023-09-01$14,129
2023-10-01$13,398
2023-11-01$13,823
2023-12-01$13,751
2024-01-01$14,535
2024-02-01$13,410
2024-03-01$13,300
2024-04-01$13,751
2024-05-01$15,302
2024-06-01$15,670
2024-07-01$16,784
2024-08-01$16,971
2024-09-01$18,044
2024-10-01$18,494
2024-11-01$18,503
2024-12-01$17,930
2025-01-01$19,172
2025-02-01$19,745
2025-03-01$20,845
2025-04-01$21,386
2025-05-01$21,744
2025-06-01$20,603
2025-07-01$20,390
2025-08-01$20,963
2025-09-01$19,523
2025-10-01$19,280
2025-11-01$20,314
2025-12-01$21,151
2026-01-01$21,386
2026-02-01$24,358
2026-03-01$22,835
2026-04-01$21,339
2026-05-01$18,462
2026-06-01$19,720
2026-07-01$19,806
Max DrawdownMax DrawdownThe largest peak-to-trough decline in the asset's value over the measurement period.Click for full definition →
24.2%
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 →
0.41
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
18.0%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2019 · +37.1%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2018 · -19.4%
% 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
201723.0%
2018-19.4%
201937.1%
20200.5%
20213.8%
2022-16.2%
202315.3%
202430.4%
202518.0%
2026-6.4%

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
20261.113.9-6.3-6.5-13.56.80.4-6.4%
20256.93.05.62.61.7-5.2-1.02.8-6.9-1.25.44.118.0%
20245.7-7.7-0.83.411.32.47.11.16.32.50.0-3.130.4%
20234.9-5.65.97.64.2-4.34.40.9-0.1-5.23.2-0.515.3%
2022-3.4-3.0-5.01.0-3.97.15.91.0-5.0-11.3-0.51.2-16.2%
2021-5.4-3.76.53.72.70.4-8.1-3.22.42.41.06.23.8%
2020-0.5-10.610.88.8-7.1-2.65.70.35.4-4.1-5.52.40.5%
20190.7-1.8-2.06.511.80.7-0.410.8-0.96.50.01.237.1%
2018-7.27.7-3.0-8.5-1.3-2.1-3.9-0.3-0.66.2-3.0-4.0-19.4%
2017-1.0-4.23.55.39.5-1.3-2.6-1.91.15.03.74.723.0%
2016-1.17.5-4.9-2.51.90.3%

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
19.3%
View full factor risk breakdown
FactorRisk Exposure
VTI.US-0.8%
VEA.US14.1%
VWO.US1.1%
QQQ.US2.2%
VTV.US-0.1%
IJR.US-0.2%
QUAL.US-1.3%
SHV.US0.3%
TLT.US-4.6%
LQD.US22.1%
HYG.US0.1%
GLD.US4.8%
USO.US7.7%
VNQ.US1.2%
BTC-USD.CC0.1%
CPER.US2.3%
VIX.INDX0.7%
UUP.US2.5%
TIP.US3.8%
Idiosyncratic43.8%

Orkla ASA Business Fundamentals

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

Profitability & Margins

Gross Margin (TTM)
47.7%
Operating Margin (TTM)
9.9%
Return on Equity (ROE)
13.6%

Year-over-Year Growth

Revenue Growth (YoY)
+1.3%
EPS Growth (YoY)
-4.5%

Financial Position

Current Ratio
1.12x

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
$752
Avg Yield on Cost
7.52%
Annual Income Simulation Table
Historical Realised Yields
YearAnnual PayoutYield on CostQuality
2026$752.387.52%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 →
+1.9%
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 →
-5.4%
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 →
19.3% 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 →
✦ 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 →
47
OversoldNeutralOverbought
Neutral
Fibonacci LevelsFibonacci RetracementTechnical levels based on mathematical ratios that indicate potential support and resistance areas.Click for full definition →
38.2% retracement-10.6%
50.0% retracement-7.5%
61.8% retracement-4.2%
% distance of current price from each 52-week Fibonacci support level.

In-Depth Analysis

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

Orkla ASA (0FIN.LSE) has delivered modest annualized growth of 6.5% over the last 10 years. A $10,000 investment at the start of the period would have grown to approximately $18,846, representing a total return of 88%. Over this period, 0FIN.LSE generated positive annual returns in 7 out of 10 calendar years (70%).

The best single calendar year for 0FIN.LSE was 2019, with a return of +37.1%. The worst year was 2018, when the asset declined 19.4%. 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 0.24 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.

0FIN.LSE — Drawdown, Volatility & Downside Risk

0FIN.LSE's annualized volatility of 18.0% is classified as moderate relative to the long-run US equity benchmark of approximately 15%. This above-average volatility means investors in 0FIN.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 24.2% — a significant bear-market drawdown. 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 24% drawdown, for example, requires a 32% gain just to break even.

When evaluating 0FIN.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.

0FIN.LSE — Macroeconomic Factor Risk Exposure

The macroeconomic factor model attributes 22.1% of 0FIN.LSE's return variance to Investment-Grade Corporate Credit. This means that when Investment-Grade Corporate Credit rises or falls sharply, 0FIN.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 0FIN.LSE allocation.

The second-largest macro driver is Developed Market Equities (ex-US), contributing 14.1% of variance. 43.8% of 0FIN.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 0FIN.LSE's factor exposures helps assess its marginal contribution to overall portfolio risk. Adding 0FIN.LSE alongside assets with low correlation to Investment-Grade Corporate Credit — 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 Orkla ASA a high-risk investment?

Orkla ASA (0FIN.LSE) has an annualized volatility of 19.3% and experienced a maximum drawdown of 24.2% over the last 10 years. Its primary macro risk driver is LQD.US.

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

Over the past 10 years, 0FIN.LSE has generated a Compound Annual Growth Rate (CAGR) of 6.5%. A $10,000 investment would have grown to approximately $18,846. It has had a positive return in 70% of calendar years.

What is 0FIN.LSE's Sharpe ratio?

0FIN.LSE has a Sharpe ratio of 0.24 and a Sortino ratio of 0.41 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 0FIN.LSE's dividend yield?

0FIN.LSE has an average trailing dividend yield of 4.95%. On a $10,000 initial investment, it generated approximately $752 in cumulative income over the study period. All return metrics on this page use total return (dividends reinvested).

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

0FIN.LSE is currently below its 200-day moving average by 5.4%. The current trend signal is: Bearish — 50 SMA below 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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