Vtex (VTEX) Enterprise Value (2021 - 2026)
Vtex (VTEX) recorded Enterprise Value of $506.08 million in Q2 2026, down 70.1% from $1.69 billion a year earlier but up 1.6% from the prior quarter.
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Analysis
Vtex (VTEX) Enterprise Value (2021 - 2026) Analysis & Trends
On a TTM basis, Vtex's Enterprise Value came in at -$82.27 million as of Jun 30, 2026; for FY2025, it came in at $458.42 million, down 69.1% from FY2024.
- Annual Enterprise Value has a four-year compound annual growth rate of -28.5% (FY2021 to FY2025).
- Across earlier years, Enterprise Value came in at $1.49 billion in FY2024 (-16.4%), $1.78 billion in FY2023 (+277.9%), $470.18 million in FY2022 (-73.1%) and $1.75 billion in FY2021.
- Quarterly Enterprise Value has ranged from $333.6 million in Q2 2022 to $3.2 billion in Q3 2021 over the past five years.
- On a year-over-year basis, Enterprise Value has declined for seven consecutive quarters, with an average decline of 18.6% over the last eight quarters.
- Peak year-over-year performance for Enterprise Value in the last five years was growth of 334.3% in Q1 2024, against a decline of 85.5% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $498.33 million (Q1 2026), $458.42 million (Q4 2025) and $1.06 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,248.48 Bn | 4,006.00 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,873.50 Bn | 1,576.02 Bn | 49.47 Bn |
| 3 | Netflix | 304.25 Bn | 264.45 Bn | 6.52 Bn |
| 4 | Alibaba Group Holding | 257.83 Bn | 71.60 Bn | 15.11 Bn |
| 5 | Shopify | 230.63 Bn | 207.82 Bn | 1.71 Bn |
| 6 | Uber Technologies | 145.10 Bn | 116.90 Bn | 6.38 Bn |
| 7 | Booking Holdings | 127.39 Bn | 60.44 Bn | - |
| 8 | PDD Holdings | 115.26 Bn | -128.52 Bn | 9.45 Bn |
| 9 | Spotify Technology | 109.42 Bn | 66.92 Bn | 1.86 Bn |
| 10 | Vtex | 760.70 Mn | -13.61 Mn | 51.71 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 506.08 Mn |
| Mar 31, 2026 | 498.33 Mn |
| Dec 31, 2025 | 458.42 Mn |
| Sep 30, 2025 | 1.06 Bn |
| Jun 30, 2025 | 1.69 Bn |
| Mar 31, 2025 | 1.26 Bn |
| Dec 31, 2024 | 1.49 Bn |
| Sep 30, 2024 | 1.93 Bn |
| Jun 30, 2024 | 1.88 Bn |
| Mar 31, 2024 | 2.15 Bn |
| Dec 31, 2023 | 1.78 Bn |
| Sep 30, 2023 | 733.20 Mn |
| Jun 30, 2023 | 684.72 Mn |
| Mar 31, 2023 | 494.87 Mn |
| Dec 31, 2022 | 470.18 Mn |
| Sep 30, 2022 | 464.72 Mn |
| Jun 30, 2022 | 333.60 Mn |
| Mar 31, 2022 | 899.15 Mn |
| Dec 31, 2021 | 1.75 Bn |
| Sep 30, 2021 | 3.20 Bn |
API Access
Vtex Enterprise Value 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=enterprise-value&ticker=VTEX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=VTEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();