Northern Data

ISIN DE000A0SMU87

WKN A0SMU8

Marktkapitalisatie (in EUR)

510 m

Land

Duitsland

Sector

Technologie

Dividendrendement

0,00%

Overzicht

Koers

Beschrijving

Northern Data AG ontwikkelt en beheert wereldwijde infrastructuuroplossingen op het gebied van high-performance computing. Het bedrijf levert met zijn klantspecifieke oplossingen de infrastructuur voor HPC-toepassingen op gebieden als bitcoin mining, blockchain, kunstmatige intelligentie, big data analytics en internet of things of rendering. Het bedrijf is opgericht door Knut Adermann en heeft zijn hoofdkantoor in Frankfurt, Duitsland.

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Technologie Software en Advies Internet- en Datadiensten Duitsland

Grafiek

Financiële kerngegevens

Kerncijfers

Marktkapitalisatie, EUR	510 m
WPA, EUR	-
KBV	1,2
K/W	1,3
Dividendrendement	0,00%

Winst- en verliesrekening (2025)

Omzet, EUR	80 m
Netto-inkomen, EUR	-483 m
Winstmarge	-603,09%

Prestaties

Rendementsoverzicht

YTD	-50,94%
1 maand	+24,30%
3 maanden	-13,29%
6 maanden	-41,99%
1 jaar	-67,50%
3 jaar	-65,90%
5 jaar	-90,03%
Since inception	-86,53%
2025	-65,54%
2024	+71,90%
2023	+331,29%
2022	-92,04%

Maandelijks rendement in een heat map

Risico

Risk metrics in this section:

Volatility, annualised, measured for 1, 3 and 5 year periods. The annualised volatility reflects the degree of price fluctuations during a one year period. The higher the volatility, the more significantly the price of the asset (stock, ETF, etc.) has changed in the past. Assets with higher volatility are generally considered more risky. We calculate the volatility based on the data for the past 1, 3 and 5 years so that you can see if price fluctuations for the ETF became stronger or weaker over time.
Return per risk for 1, 3 and 5 year periods. This is the annualised (i.e. converted to a one year period) past return divided by the past annualised volatility. The metric puts the historical return of an asset in relation to its historical risk and gives you a retrospective indication of the degree of price fluctuation you had to bear with in order to obtain the return. We calculate this parameter for 1, 3 and 5 year periods to display its evolution over time.
Maximum drawdown for a period. This shows the worst possible loss an investor could have suffered during the respective period, by first buying and subsequently selling the asset at the least favourable prices. For example, if there was the following sequence of daily ETF prices: 10€, 5€, 12€, 20€, an investor would have suffered the worst loss by buying for 10€ and subsequently selling for 5€. Therefore in this case the maximum drawdown would be (5€ - 10€)/10€ = -50%.

ETF-rendementen zijn inclusief dividenduitkeringen (indien van toepassing).