Vtex (VTEX) Revenue (2019 - 2026)
Vtex (VTEX) posted Revenue of $64.4 million for Q2 2026, up 6.08% on a QoQ basis from $60.7 million in Q1 2026, and up 9.52% year-over-year from $58.8 million in Q2 2025.
Vtex (VTEX) Revenue (2019 - 2026) Analysis & Trends
Vtex has reported Revenue for 8 years, with the latest figure at $64.4 million in Q2 2026.
- On a quarterly basis, Revenue rose 9.52% year-over-year to $64.4 million in Q2 2026; TTM through Jun 2026 was $365.7 million, a 17.52% decrease from a year earlier, with the FY2025 full-year figure at $240.5 million, up 6.11% from the prior year.
- Revenue was $64.4 million for Q2 2026 at Vtex, up from $60.7 million in the prior quarter.
- The five-year high for Revenue was $172.6 million in Q3 2025, with the low at $2.5 million in Q1 2023.
- Average Revenue over 5 years is $68.7 million, with a median of $55.4 million recorded in 2024.
- The sharpest annual moves came in 2023 and 2024: Revenue tumbled 92.74% in 2023, then soared 1987.3% in 2024.
- Over 5 years, Revenue stood at $45.5 million in 2022, then surged by 32.75% to $60.4 million in 2023, then surged by 173.44% to $165.2 million in 2024, then slumped by 58.83% to $68.0 million in 2025, then slipped by 5.31% to $64.4 million in 2026.
- The last three Revenue figures came in at $64.4 million (Q2 2026), $60.7 million (Q1 2026), and $68.0 million (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,070.34 Bn | 3,641.31 Bn | 73.85 Bn | 119.80 Bn |
| 2 | Meta Platforms | 1,876.83 Bn | 1,786.57 Bn | 49.47 Bn | 60.80 Bn |
| 3 | Netflix | 297.14 Bn | 288.01 Bn | 6.52 Bn | 12.56 Bn |
| 4 | Alibaba Group Holding | 257.29 Bn | 222.03 Bn | 15.11 Bn | 39.64 Bn |
| 5 | Shopify | 184.36 Bn | 179.41 Bn | 1.71 Bn | 3.58 Bn |
| 6 | Uber Technologies | 141.62 Bn | 136.41 Bn | 6.38 Bn | 14.19 Bn |
| 7 | Booking Holdings | 117.14 Bn | 99.93 Bn | 4.98 Bn | 7.35 Bn |
| 8 | PDD Holdings | 112.73 Bn | 82.45 Bn | 9.45 Bn | 16.56 Bn |
| 9 | AppLovin | 105.70 Bn | 102.65 Bn | 1.70 Bn | 1.92 Bn |
| 10 | Vtex | 624.51 Mn | 438.62 Mn | 51.71 Mn | 64.39 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 64.39 Mn |
| Mar 31, 2026 | 60.70 Mn |
| Dec 31, 2025 | 68.00 Mn |
| Sep 30, 2025 | 172.56 Mn |
| Jun 30, 2025 | 58.79 Mn |
| Mar 31, 2025 | 54.20 Mn |
| Dec 31, 2024 | 165.16 Mn |
| Sep 30, 2024 | 165.16 Mn |
| Jun 30, 2024 | 56.50 Mn |
| Mar 31, 2024 | 52.60 Mn |
| Dec 31, 2023 | 60.40 Mn |
| Sep 30, 2023 | 50.60 Mn |
| Jun 30, 2023 | 47.60 Mn |
| Mar 31, 2023 | 2.52 Mn |
| Dec 31, 2022 | 45.50 Mn |
| Sep 30, 2022 | 38.80 Mn |
| Jun 30, 2022 | 38.70 Mn |
| Mar 31, 2022 | 34.70 Mn |
| Dec 31, 2021 | 7.31 Mn |
| Sep 30, 2021 | 31.86 Mn |
Vtex Revenue 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=revenue&ticker=VTEX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=VTEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();