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- Fintech Unicorns of the UK โ June 2026
Fintech Unicorns of the UK โ June 2026
What companies became fintech unicorns in the UK?
๐ฌ๐ง UK has now nearly 50 fintech unicorns, across private, public and already acquired companies.
Plenty of great fintech companies in the UK, but there is only one king ๐ฆ - Revolut, currently valued at $75B, significantly higher than its rivals, like publicly-listed Wise, Monzo, Tide or OakNorth.
Data as of June 2026, based on the latest reported valuation or market capitalization for public companies.
# | |||||
|---|---|---|---|---|---|
1 | $75.0B | $4.0B | 18.8x | ๐ Private | |
2 | $20.0B | $1.6B | 12.5x | ๐ Private | |
3 | $13.3B | $8.1B | 1.7x | ๐ Public | |
4 | $12.0B | $0.5B | 24.6x | ๐ Private | |
5 | $10.9B | $2.4B | 4.6x | ๐ Public | |
6 | $10.0B | $1.9B | 5.3x | ๐ Private | |
7 | $9.3B | $3.3B | 2.8x | ๐ Private | |
8 | $8.9B | $1.1B | 8.2x | ๐ Private | |
9 | $6.0B | $0.8B | 7.8x | ๐ Private | |
10 | $5.9B | $1.4B | 4.4x | ๐ Private | |
11 | $5.4B | $0.9B | 6.2x | ๐ Private | |
12 | $5.0B | $0.5B | 10.5x | ๐ Private | |
13 | $4.6B | $0.3B | 14.8x | ๐ Private | |
14 | $4.5B | ๐ Private | |||
15 | $4.4B | $0.8B | 5.6x | ๐ Public | |
16 | $4.0B | $0.2B | 19.0x | ๐ Private | |
17 | $3.2B | $0.2B | 13.3x | ๐ค Acquired | |
18 | $3.1B | $0.4B | 7.4x | ๐ Public | |
19 | $3.0B | $0.0B | ๐ Public | ||
20 | $2.9B | $0.9B | 3.2x | ๐ Public | |
21 | $2.7B | $3.8B | 0.7x | ๐ค Acquired | |
22 | $2.7B | $0.1B | 45.0x | ๐ Private | |
23 | $2.6B | $0.1B | 30.6x | ๐ Private | |
24 | $2.4B | $0.1B | 28.2x | ๐ Private | |
25 | $2.4B | $0.2B | 10.2x | ๐ Private | |
26 | $2.3B | $0.7B | 3.2x | ๐ Private | |
27 | $2.1B | $0.5B | 4.4x | ๐ Private | |
28 | $2.0B | ๐ Private | |||
29 | $2.0B | $0.4B | 5.7x | ๐ค Acquired | |
30 | $2.0B | $0.4B | 5.4x | ๐ Private | |
31 | $2.0B | $0.1B | 14.3x | ๐ Private | |
32 | $1.8B | $0.1B | 16.4x | ๐ค Acquired | |
33 | $1.7B | $1.5B | 1.1x | ๐ค Acquired | |
34 | $1.5B | $0.2B | 6.7x | ๐ Private | |
35 | $1.4B | $0.1B | 15.4x | ๐ Private | |
36 | $1.3B | $0.1B | 13.1x | ๐ค Acquired | |
37 | $1.2B | $1.0B | 1.2x | ๐ค Acquired | |
38 | $1.2B | $0.4B | 3.1x | ๐ Private | |
39 | $1.2B | $0.4B | 3.1x | ๐ Private | |
40 | $1.2B | $0.2B | 6.7x | ๐ค Acquired | |
41 | $1.2B | $0.6B | 2.0x | ๐ Public | |
42 | $1.0B | $0.1B | 10.0x | ๐ค Acquired | |
43 | $1.0B | 0.35 | 2.9x | ๐ Private | |
44 | $1.0B | $0.2B | 5.0x | ๐ Private | |
45 | $1.0B | $0.1B | 12.5x | ๐ Private | |
46 | $1.0B | $1.7B | 0.6x | ๐ Private | |
47 | $3.5B | ๐ Private |
Data and methodology
Underlying data
Public markets data is powered by FactSet (consensus analyst estimates), and Morningstar (historical data). Data points are calendarized to December where relevant: retrieved data on financial year ends (e.g. FY, FY+1 etc.) are mapped to calendar years (2025A, 2026E etc.) before the appropriate month weights are then applied to prior/future fundamentals.
Private transaction data is multi-sourced, aggregated from harvesting public information, 3rd party APIs, and data engineering. All data is verified and provided with an extensive manual process. If data permits, we apply our own logic to get to the EV. For example, for a large M&A deal with available information on the target's net debt, we might adjust a valuation to fully reflect an accurate EV. In all other cases, we take the reported valuation as the numerator. Financials: we source LTM revenue and LTM EBITDA data from company filings, press releases, or other verified sources. If LTM data is unavailable, we take the 'next best-fit' period (run-rate or calendar year), provided it makes sense in a given case. For example, if a deal closed in November 2025, we might take full-year 2025 revenue as a revenue benchmark.
Any raw figures are harmonised to USD for comparison purposes.
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