Vtex (VTEX) Shares Outstanding (Diluted) (2021 - 2026)
Vtex's Shares Outstanding (Diluted) was 185.11 million in Q2 2026, down 3.8% from 192.33 million a year earlier and unchanged from the prior quarter.
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Analysis
Vtex (VTEX) Shares Outstanding (Diluted) (2021 - 2026) Analysis & Trends
From Q4 2021 onward, Vtex has reported Shares Outstanding (Diluted) for 19 quarters.
- Shares Outstanding (Diluted) shows a four-year compound annual growth rate of 0.5% (FY2021 to FY2025).
- In earlier years, Shares Outstanding (Diluted) was 192.33 million in FY2024 (+3.2%), 186.37 million in FY2023 (-2.3%), 190.7 million in FY2022 (+5.0%) and 181.55 million in FY2021.
- Quarterly Shares Outstanding (Diluted) has moved between 181.55 million (Q4 2021) and 192.33 million (Q3 2025) over five years.
- Compared with a year earlier, Shares Outstanding (Diluted) has declined for three straight quarters, with an average decline of 0.1% over the last eight quarters.
- The best year-over-year quarter for Shares Outstanding (Diluted) over five years was Q3 2023 (growth of 5.0%); the worst was Q4 2025 (a decline of 3.8%).
- Per Business Quant data, VTEX's Shares Outstanding (Diluted) in the three quarters before Q2 2026 was 185.11 million (Q1 2026), 185.11 million (Q4 2025) and 192.33 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,248.48 Bn | 4,006.00 Bn | 73.85 Bn | 12.31 Bn |
| 2 | Meta Platforms | 1,873.50 Bn | 1,576.02 Bn | 49.47 Bn | 2.57 Bn |
| 3 | Netflix | 304.25 Bn | 264.45 Bn | 6.52 Bn | 4.26 Bn |
| 4 | Alibaba Group Holding | 257.83 Bn | 71.60 Bn | 15.11 Bn | 2.40 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 | 2.05 Bn |
| 7 | Booking Holdings | 127.39 Bn | 60.44 Bn | - | 770.00 Mn |
| 8 | PDD Holdings | 115.26 Bn | -128.52 Bn | 9.45 Bn | 1.48 Bn |
| 9 | Spotify Technology | 109.42 Bn | 66.92 Bn | 1.86 Bn | 210.51 Mn |
| 10 | Vtex | 760.70 Mn | -13.61 Mn | 51.71 Mn | 185.11 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 185.11 Mn |
| Mar 31, 2026 | 185.11 Mn |
| Dec 31, 2025 | 185.11 Mn |
| Sep 30, 2025 | 192.33 Mn |
| Jun 30, 2025 | 192.33 Mn |
| Mar 31, 2025 | 192.33 Mn |
| Dec 31, 2024 | 192.33 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 |
API Access
Vtex Shares Outstanding (Diluted) 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-diluted&ticker=VTEX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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-diluted&ticker=VTEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();