Vtex (VTEX) Cash & Equivalents (2020 - 2026)
Vtex (VTEX) posted Cash & Equivalents of $15.45 million for Q2 2026, down 27.6% from $21.34 million a year earlier and down 8.0% from the prior quarter.
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Analysis
Vtex (VTEX) Cash & Equivalents (2020 - 2026) Analysis & Trends
At the end of FY2025, Vtex's Cash & Equivalents came in at $15.74 million, down 15.7% from FY2024.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of -23.1% (FY2020 to FY2025).
- In prior years, Vtex's Cash & Equivalents was $18.67 million in FY2024 (-33.4%), $28.04 million in FY2023 (+14.9%), $24.39 million in FY2022 (-79.8%) and $121.01 million in FY2021 (+106.6%).
- The Q2 2026 figure stands as the lowest quarterly Cash & Equivalents in data going back to Q4 2019.
- On a year-over-year basis, Cash & Equivalents has declined in each of the last five quarters, with an average decline of 10.9% over the last eight quarters.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q2 2023, with growth of 238.8%; the weakest was Q3 2022, with a decline of 90.7%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $16.79 million (Q1 2026), $15.74 million (Q4 2025) and $20.4 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,462.85 Bn | 3,197.75 Bn | 76.16 Bn | 56.33 Bn |
| 2 | Meta Platforms | 1,559.43 Bn | 1,223.94 Bn | 51.23 Bn | 11.22 Bn |
| 3 | Netflix | 262.12 Bn | 223.42 Bn | 6.80 Bn | 8.19 Bn |
| 4 | Alibaba Group Holding | 253.57 Bn | 67.20 Bn | 15.16 Bn | 21.06 Bn |
| 5 | Shopify | 191.77 Bn | 170.57 Bn | 1.78 Bn | 1.87 Bn |
| 6 | Uber Technologies | 139.89 Bn | 110.71 Bn | 6.42 Bn | 9.56 Bn |
| 7 | AppLovin | 130.31 Bn | 118.84 Bn | 1.94 Bn | 3.17 Bn |
| 8 | Spotify Technology | 123.80 Bn | 80.72 Bn | 1.89 Bn | 6.84 Bn |
| 9 | Booking Holdings | 120.61 Bn | 54.35 Bn | - | 15.81 Bn |
| 10 | Vtex | 710.41 Mn | -46.50 Mn | 50.55 Mn | 18.88 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 18.88 Mn |
| Jun 30, 2026 | 15.45 Mn |
| Mar 31, 2026 | 16.79 Mn |
| Dec 31, 2025 | 15.74 Mn |
| Sep 30, 2025 | 20.40 Mn |
| Jun 30, 2025 | 21.34 Mn |
| Mar 31, 2025 | 21.09 Mn |
| Dec 31, 2024 | 18.67 Mn |
| Sep 30, 2024 | 22.53 Mn |
| Jun 30, 2024 | 22.91 Mn |
| Mar 31, 2024 | 17.47 Mn |
| Dec 31, 2023 | 28.04 Mn |
| Sep 30, 2023 | 21.30 Mn |
| Jun 30, 2023 | 100.50 Mn |
| Mar 31, 2023 | 21.89 Mn |
| Dec 31, 2022 | 24.39 Mn |
| Sep 30, 2022 | 29.86 Mn |
| Jun 30, 2022 | 29.67 Mn |
| Dec 31, 2021 | 121.01 Mn |
| Sep 30, 2021 | 321.63 Mn |
API Access
Vtex Cash & Equivalents 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=cash-and-equivalents&ticker=VTEX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=VTEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();