Vtex (VTEX) Revenue (2020 - 2026)
Vtex's Revenue came in at $64.39 million for Q2 2026, up 9.5% from $58.79 million a year earlier and up 6.1% from the prior quarter.
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Analysis
Vtex (VTEX) Revenue (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Vtex reported Revenue of $365.65 million, up 7.7% year-over-year; for FY2025, it came in at $240.52 million, up 6.1% from FY2024.
- Revenue has increased in each of the last six years, with a five-year compound annual growth rate of 19.5% (FY2020 to FY2025).
- Going back by year, Revenue was $226.66 million in FY2024 (+12.9%), $200.83 million in FY2023 (+27.4%), $157.62 million in FY2022 (+25.3%) and $125.77 million in FY2021 (+27.5%).
- The five-year range for quarterly Revenue is $31.86 million (Q3 2021) to $172.56 million (Q3 2025).
- Year-over-year, Revenue has increased for 24 consecutive quarters, with growth averaging 34.0% over the last eight quarters.
- The year-over-year growth in Revenue has ranged between 1.8% (Q4 2024) and 226.4% (Q3 2024) over the last five years.
- Business Quant data shows VTEX's Revenue at $60.7 million (Q1 2026), $68 million (Q4 2025) and $172.56 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,248.48 Bn | 4,006.00 Bn | 73.85 Bn | 119.80 Bn |
| 2 | Meta Platforms | 1,873.50 Bn | 1,576.02 Bn | 49.47 Bn | 60.80 Bn |
| 3 | Netflix | 304.25 Bn | 264.45 Bn | 6.52 Bn | 12.56 Bn |
| 4 | Alibaba Group Holding | 257.83 Bn | 71.60 Bn | 15.11 Bn | 39.64 Bn |
| 5 | Shopify | 230.63 Bn | 207.82 Bn | 1.71 Bn | 3.58 Bn |
| 6 | Uber Technologies | 145.10 Bn | 116.90 Bn | 6.38 Bn | 14.19 Bn |
| 7 | Booking Holdings | 127.39 Bn | 60.44 Bn | - | 7.35 Bn |
| 8 | PDD Holdings | 115.26 Bn | -128.52 Bn | 9.45 Bn | 16.56 Bn |
| 9 | Spotify Technology | 109.42 Bn | 66.92 Bn | 1.86 Bn | 5.55 Bn |
| 10 | Vtex | 760.70 Mn | -13.61 Mn | 51.71 Mn | 64.39 Mn |
Historic Data
Download Data
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 | 59.60 Mn |
| Jun 30, 2025 | 58.79 Mn |
| Mar 31, 2025 | 54.20 Mn |
| Dec 31, 2024 | 61.50 Mn |
| Sep 30, 2024 | 56.00 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 | 45.49 Mn |
| Sep 30, 2022 | 2.24 Mn |
| Jun 30, 2022 | 38.71 Mn |
| Mar 31, 2022 | 2.09 Mn |
| Dec 31, 2021 | 37.12 Mn |
| Sep 30, 2021 | 31.86 Mn |
API Access
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_KEYimport 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();