Growth

Swiss cantons ranked by capital raised (last 12 months)

Zürich leads with CHF 849 million in share capital increases over the past year, followed by Basel-Stadt and Lucerne.

Over the past twelve months, 1,341 capital increases were registered across all 26 cantons, for a combined CHF 3.3 billion. The distribution is heavily concentrated: the top three cantons account for 59% of the total.

Zürich leads with CHF 849 million across 265 increases. Basel-Stadt and Lucerne follow at CHF 684 million and CHF 384 million, though their profiles differ sharply.

At the other end, Appenzell Innerrhoden recorded just two increases totalling CHF 96,471. The gap between Zürich and Appenzell Innerrhoden is roughly 8,800x in volume. For a deeper look at how Romandie's cantons compare, see our guide to prospecting in Romandie.

1,341
Capital increases
CHF 3.3bn
Total raised
26
Cantons
# Canton Increases Total raised (CHF)
1 Zürich 265 848,907,415
2 Basel-Stadt 42 683,598,810
3 Lucerne 67 384,410,088
4 Zug 171 265,980,844
5 Geneva 120 246,326,563
6 Vaud 96 172,133,977
7 Ticino 79 144,466,896
8 Bern 80 134,242,349
9 Schwyz 53 69,739,911
10 St. Gallen 59 56,371,148
11 Valais 50 42,620,917
12 Basel-Landschaft 29 42,139,195
13 Aargau 52 33,472,836
14 Graubünden 26 29,528,612
15 Fribourg 42 20,527,713
16 Neuchâtel 20 18,390,228
17 Solothurn 17 16,817,452
18 Thurgau 16 13,737,300
19 Uri 4 10,874,127
20 Obwalden 11 8,021,899
21 Glarus 11 7,348,969
22 Jura 9 5,633,000
23 Nidwalden 7 3,267,000
24 Schaffhausen 6 2,152,908
25 Appenzell Ausserrhoden 7 1,290,000
26 Appenzell Innerrhoden 2 96,471

This ranking covers all share capital increases published in the SHAB over a rolling 12-month window. Companies are assigned to cantons based on their registered seat. Canton names follow their English and French conventional forms. For more on what a capital increase means, see our guide to capital increases.

Written by

Semion Sidorenko

Semion Sidorenko is the Founder and CEO of Prospex. From data engineering to machine learning research, he spent 15 years helping companies scale up data platforms. Before founding Prospex, he worked as an ML engineer at EPFL and as an independent data engineering consultant for Swiss companies.

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