Vtex (VTEX) Shares Outstanding (2020 - 2026)
Vtex's Shares Outstanding came in at 179.62 million for Q2 2026, down 2.9% from 185.04 million a year earlier and unchanged from the prior quarter.
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Analysis
Vtex (VTEX) Shares Outstanding (2020 - 2026) Analysis & Trends
Going back to Q4 2019, Vtex's Shares Outstanding data covers 27 quarters.
- Shares Outstanding has declined in each of the last three years, though with a five-year compound annual growth rate of 1.3% (FY2020 to FY2025).
- Going back by year, Shares Outstanding was 185.04 million in FY2024 (-0.7%), 186.37 million in FY2023 (-2.3%), 190.7 million in FY2022 (+5.0%) and 181.55 million in FY2021 (+7.8%).
- The five-year range for quarterly Shares Outstanding is 168.35 million (Q3 2021) to 190.7 million (Q3 2023).
- Year-over-year, Shares Outstanding has declined for 11 consecutive quarters, with an average decline of 1.7% over the last eight quarters.
- The fastest year-over-year change in Shares Outstanding over five years came in Q3 2021 (growth of 8.1%), and the weakest in Q4 2025 (a decline of 2.9%).
- Business Quant data shows VTEX's Shares Outstanding at 179.62 million (Q1 2026), 179.62 million (Q4 2025) and 185.04 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,248.48 Bn | 4,006.00 Bn | 73.85 Bn | 12.15 Bn |
| 2 | Meta Platforms | 1,873.50 Bn | 1,576.02 Bn | 49.47 Bn | 2.54 Bn |
| 3 | Netflix | 304.25 Bn | 264.45 Bn | 6.52 Bn | 4.19 Bn |
| 4 | Alibaba Group Holding | 257.83 Bn | 71.60 Bn | 15.11 Bn | 2.32 Bn |
| 5 | Shopify | 230.63 Bn | 207.82 Bn | 1.71 Bn | 1.30 Bn |
| 6 | Uber Technologies | 145.10 Bn | 116.90 Bn | 6.38 Bn | 2.04 Bn |
| 7 | Booking Holdings | 127.39 Bn | 60.44 Bn | - | 768.00 Mn |
| 8 | PDD Holdings | 115.26 Bn | -128.52 Bn | 9.45 Bn | 1.40 Bn |
| 9 | Spotify Technology | 109.42 Bn | 66.92 Bn | 1.86 Bn | 205.41 Mn |
| 10 | Vtex | 760.70 Mn | -13.61 Mn | 51.71 Mn | 179.62 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 179.62 Mn |
| Mar 31, 2026 | 179.62 Mn |
| Dec 31, 2025 | 179.62 Mn |
| Sep 30, 2025 | 185.04 Mn |
| Jun 30, 2025 | 185.04 Mn |
| Mar 31, 2025 | 185.04 Mn |
| Dec 31, 2024 | 185.04 Mn |
| Sep 30, 2024 | 186.37 Mn |
| Jun 30, 2024 | 186.37 Mn |
| Mar 31, 2024 | 186.37 Mn |
| Dec 31, 2023 | 186.37 Mn |
| Sep 30, 2023 | 190.70 Mn |
| Jun 30, 2023 | 190.70 Mn |
| Mar 31, 2023 | 190.70 Mn |
| Dec 31, 2022 | 190.70 Mn |
| Sep 30, 2022 | 181.55 Mn |
| Jun 30, 2022 | 181.55 Mn |
| Mar 31, 2022 | 181.55 Mn |
| Dec 31, 2021 | 181.55 Mn |
| Sep 30, 2021 | 168.35 Mn |
API Access
Vtex Shares Outstanding API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=shares-outstanding&ticker=VTEX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "VTEX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=shares-outstanding&ticker=VTEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();