Seychelles vs Slovenia: Outward Direct investment, Net (assets less liabilities), Debt

Seychelles
461.68 million
in 2024
Slovenia
408.95 million
in 2024
Seychelles rank
64th
Slovenia rank
65th

Outward Direct investment, Net (assets less liabilities), Debt over time

  • Seychelles
  • Slovenia
0500.0M1.0B1.5B200920162024

How they compare

Seychelles currently reports 461.68 million against 408.95 million in Slovenia, a difference of 52.73 million.

That makes Seychelles's figure about 1.1 times Slovenia's.

The two have swapped places 3 times across 16 shared years of data; in 2009 it was Slovenia ahead.

Seychelles ranks 64th and Slovenia ranks 65th of 245 countries.

Across the 3 decades both report, Seychelles averaged higher in 2 and Slovenia in 1.

Head to head by decade

Decade Seychelles Slovenia Difference Ahead
2000s 150.74 million 375.54 million 224.80 million Slovenia
2010s 621.59 million 436.79 million 184.80 million Seychelles
2020s 637.88 million 329.41 million 308.46 million Seychelles

Averages of every year both report within each decade.

Frequently asked questions

Which has higher outward direct investment, net (assets less liabilities), debt, Seychelles or Slovenia?
Seychelles, at 461.68 million against 408.95 million in Slovenia as of 2024.
What is the difference in outward direct investment, net (assets less liabilities), debt between Seychelles and Slovenia?
52.73 million, with Seychelles ahead.
How many years of comparable data are there for Seychelles and Slovenia?
16 years are reported by both, from 2009 to 2024.
How do Seychelles and Slovenia rank globally for outward direct investment, net (assets less liabilities), debt?
Seychelles ranks 64th and Slovenia ranks 65th of 245 countries.
Where does this data come from?
International Monetary Fund, published as Outward Direct investment, Net (assets less liabilities), Debt instruments, Resident enterprises that are not financial intermediaries (World, Derived using counterparty information). Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Seychelles vs Slovenia: Outward Direct investment, Net (assets less liabilities), Debt. Statizoid, drawing on International Monetary Fund. Retrieved 02 September 2026, from https://debt.statizoid.com/compare/outward-direct-investment-net-assets-less-liabilities-debt-instruments-resident/seychelles/slovenia/

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About this data

Indicator
Outward Direct investment, Net (assets less liabilities), Debt instruments, Resident enterprises that are not financial intermediaries (World, Derived using counterparty information)
Source
International Monetary Fund
Licence
IMF Terms and Conditions (attribution required)
Coverage
259 places, 4,144 data points, 2009–2024
Last refreshed

The Direct Investment Positions by Counterpart Economy dataset is based on information collected through an IMF-led global initiative on direct investment positions statistics (the Coordinated Direct Investment Survey, or CDIS). The purpose of this initiative is to enhance the quality and availability of direct investment position statistics by immediate counterpart economy and to support the objective of developing from-whom-to-whom cross-border data on direct investment positions. The DIP dataset includes (i) inward foreign direct investment positions by instrument (equity or debt) and by economy of immediate investor and (ii) outward direct investment positions by instrument (equity or debt) and by economy of immediate investment. In most instances the database contains separate data on net equity and net debt positions, as well as separate data on financial companies and fellow enterprises. The DIP dataset also includes mirror data which show values for the corresponding indicators as derived from data reported by the counterpart economies (referred to as data derived using counterparty information). These data can offer insights into inward and outward positions for economies that do not participate in the CDIS and/or do not collect direct investment positions by country or in total. For economies that do participate, these data can be used to cross-check and verify estimates and may help identify data gaps or errors at the counterpart economy level.