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The Unicorns of Latin America β€” June 2026

Last updated on 25 June 2026Β·Latin America

These are the tech unicorns of Latin America

There are now over 50 tech companies in 🌎 Latin America valuaed above $1B. The majority of them operate in fintech and payments.

The majority of LatAm's unicorns come from πŸ‡§πŸ‡· Brazil, but the most valuable private company in the region is πŸ‡¨πŸ‡΄ Colombian - Rappi, valued at over $5B and rumored to go public multiple times already.

Most unicorns in LatAm were minted during the 2020-2022 ZIRP-era, and their $1B+ 'paper' valuations are already a few years old. Liquidity remains to be seen, as very few IPOs and acquisitions have happened to date.

#
1
MercadoLibre
πŸ‡¦πŸ‡·
$83.5B
$34.5B
2.4x
πŸ“ˆ Public
2
Nubank
πŸ‡§πŸ‡·
$60.6B
$18.8B
3.2x
πŸ“ˆ Public
3
WEG SA
πŸ‡§πŸ‡·
$36.9B
$8.0B
4.6x
πŸ“ˆ Public
4
XP Investimentos
πŸ‡§πŸ‡·
$8.0B
$3.7B
2.2x
πŸ“ˆ Public
5
Rappi
πŸ‡¨πŸ‡΄
$5.3B
$1.4B
3.8x
πŸš€ Private
6
QuintoAndar
πŸ‡§πŸ‡·
$5.1B
πŸš€ Private
7
C6 Bank
πŸ‡§πŸ‡·
$5.0B
$1.7B
2.9x
πŸš€ Private
8
dLocal
πŸ‡ΊπŸ‡Ύ
$3.6B
$1.3B
2.8x
πŸ“ˆ Public
9
NuvemShop
πŸ‡§πŸ‡·
$3.1B
πŸš€ Private
10
Plata
πŸ‡²πŸ‡½
$3.1B
$0.6B
5.2x
πŸš€ Private
11
TOTVS
πŸ‡§πŸ‡·
$3.1B
$1.3B
2.4x
πŸ“ˆ Public
12
Wildlife Studios
πŸ‡§πŸ‡·
$3.0B
πŸš€ Private
13
UalΓ‘
πŸ‡¦πŸ‡·
$2.8B
πŸš€ Private
14
StoneCo
πŸ‡§πŸ‡·
$2.6B
$2.8B
0.9x
πŸ“ˆ Public
15
Unico
πŸ‡§πŸ‡·
$2.6B
πŸš€ Private
16
PagSeguro
πŸ‡§πŸ‡·
$2.5B
$3.9B
0.6x
πŸ“ˆ Public
17
Gympass
πŸ‡§πŸ‡·
$2.4B
πŸš€ Private
18
Banco Inter
πŸ‡§πŸ‡·
$2.3B
$1.8B
1.3x
πŸ“ˆ Public
19
Loft
πŸ‡§πŸ‡·
$2.2B
πŸš€ Private
20
Bitso
πŸ‡²πŸ‡½
$2.2B
πŸš€ Private
21
Kavak
πŸ‡²πŸ‡½
$2.2B
πŸš€ Private
22
Cloudwalk
πŸ‡§πŸ‡·
$2.1B
πŸš€ Private
23
Mercado Bitcoin
πŸ‡§πŸ‡·
$2.1B
πŸš€ Private
24
Loggi
πŸ‡§πŸ‡·
$2.0B
πŸš€ Private
25
Clip
πŸ‡²πŸ‡½
$2.0B
πŸš€ Private
26
Creditas
πŸ‡§πŸ‡·
$1.8B
πŸš€ Private
27
Pluxee
πŸ‡§πŸ‡·
$1.7B
$1.5B
1.2x
πŸ“ˆ Public
28
Neon
πŸ‡§πŸ‡·
$1.6B
πŸš€ Private
29
Dock
πŸ‡§πŸ‡·
$1.5B
πŸš€ Private
30
Olist
πŸ‡§πŸ‡·
$1.5B
πŸš€ Private
31
NotCo
πŸ‡¨πŸ‡±
$1.5B
πŸš€ Private
32
Kushki
πŸ‡ͺπŸ‡¨
$1.5B
πŸš€ Private
33
Prisma
πŸ‡¦πŸ‡·
$1.4B
πŸš€ Private
34
Afya
πŸ‡§πŸ‡·
$1.3B
$0.7B
1.8x
πŸ“ˆ Public
35
Konfio
πŸ‡²πŸ‡½
$1.3B
πŸš€ Private
36
PicPay
πŸ‡§πŸ‡·
$1.3B
$2.3B
0.6x
πŸ“ˆ Public
37
Globant
πŸ‡¦πŸ‡·
$1.3B
$2.5B
0.5x
πŸ“ˆ Public
38
Incode
πŸ‡²πŸ‡½
$1.3B
πŸš€ Private
39
Merama
πŸ‡²πŸ‡½
$1.2B
πŸš€ Private
40
Stori
πŸ‡²πŸ‡½
$1.2B
πŸš€ Private
41
Entel
πŸ‡¨πŸ‡±
$1.2B
$3.4B
0.3x
πŸ“ˆ Public
42
Agibank
πŸ‡§πŸ‡·
$1.1B
πŸ“ˆ Public
43
Nowports
πŸ‡²πŸ‡½
$1.1B
πŸš€ Private
44
Ebanx
πŸ‡§πŸ‡·
$1.0B
πŸš€ Private
45
MadeiraMadeira
πŸ‡§πŸ‡·
$1.0B
πŸš€ Private
46
Movile
πŸ‡§πŸ‡·
$1.0B
πŸš€ Private
47
QI Tech
πŸ‡§πŸ‡·
$1.0B
πŸš€ Private
48
Frete.com
πŸ‡§πŸ‡·
$1.0B
πŸš€ Private
49
Hotmart
πŸ‡§πŸ‡·
$1.0B
πŸš€ Private
50
Betterfly
πŸ‡¨πŸ‡±
$1.0B
πŸš€ Private
Showing 1 to 50 of 52 rows

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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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