Vtex (VTEX) EBITDA (2020 - 2026)
Vtex (VTEX) posted EBITDA of $9.7 million for Q2 2026, up 66.55% on a QoQ basis from $5.8 million in Q1 2026, and up 231.62% year-over-year from $2.9 million in Q2 2025.
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Analysis
Vtex (VTEX) EBITDA (2020 - 2026) Analysis & Trends
Vtex has reported EBITDA for 8 years, with the latest figure at $9.7 million in Q2 2026.
- On a quarterly basis, EBITDA rose 231.62% year-over-year to $9.7 million in Q2 2026; TTM through Jun 2026 was $33.5 million, a 186.39% increase from a year earlier, with the FY2025 full-year figure at $18.1 million, up 145.17% from the prior year.
- EBITDA was $9.7 million for Q2 2026 at Vtex, up from $5.8 million in the prior quarter.
- The five-year high for EBITDA was $11.2 million in Q4 2025, with the low at -$18.9 million in Q2 2022.
- Average EBITDA over 5 years is -$1.2 million, with a median of $300000.0 recorded in 2024.
- The sharpest annual moves came in 2022 and 2026: EBITDA sank 38.83% in 2022, then soared 3000.0% in 2026.
- Over 5 years, EBITDA stood at -$3.0 million in 2022, then soared by 303.33% to $6.1 million in 2023, then grew by 9.84% to $6.7 million in 2024, then surged by 67.16% to $11.2 million in 2025, then dropped by 13.75% to $9.7 million in 2026.
- The last three EBITDA figures came in at $9.7 million (Q2 2026), $5.8 million (Q1 2026), and $11.2 million (Q4 2025), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,070.34 Bn | 3,641.31 Bn | 73.85 Bn | 40.77 Bn |
| 2 | Meta Platforms | 1,876.83 Bn | 1,786.57 Bn | 49.47 Bn | 18.78 Bn |
| 3 | Netflix | 297.14 Bn | 288.01 Bn | 6.52 Bn | 4.19 Bn |
| 4 | Alibaba Group Holding | 257.29 Bn | 222.03 Bn | 15.11 Bn | 5.77 Bn |
| 5 | Shopify | 184.36 Bn | 179.41 Bn | 1.71 Bn | 488.00 Mn |
| 6 | Uber Technologies | 141.62 Bn | 136.41 Bn | 6.38 Bn | 1.89 Bn |
| 7 | Booking Holdings | 117.14 Bn | 99.93 Bn | 4.98 Bn | 2.50 Bn |
| 8 | PDD Holdings | 112.73 Bn | 82.45 Bn | 9.45 Bn | 4.08 Bn |
| 9 | AppLovin | 105.70 Bn | 102.65 Bn | 1.70 Bn | 1.49 Bn |
| 10 | Vtex | 624.51 Mn | 438.62 Mn | 51.71 Mn | 9.66 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.53 Mn |
| Mar 31, 2026 | 6.67 Mn |
| Dec 31, 2025 | 12.06 Mn |
| Sep 30, 2025 | 7.74 Mn |
| Jun 30, 2025 | 3.74 Mn |
| Mar 31, 2025 | 523,000.00 |
| Dec 31, 2024 | 7.75 Mn |
| Sep 30, 2024 | 4.48 Mn |
| Jun 30, 2024 | 2.26 Mn |
| Mar 31, 2024 | -1.41 Mn |
| Dec 31, 2023 | 6.26 Mn |
| Sep 30, 2023 | -3.52 Mn |
| Jun 30, 2023 | -4.81 Mn |
| Mar 31, 2023 | -8.48 Mn |
| Dec 31, 2022 | -1.76 Mn |
| Sep 30, 2022 | -10.13 Mn |
| Jun 30, 2022 | -17.79 Mn |
| Mar 31, 2022 | -15.61 Mn |
| Dec 31, 2021 | -64.70 Mn |
| Sep 30, 2021 | -23.34 Mn |
API Access
Vtex EBITDA 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=ebitda&ticker=VTEX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=VTEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();