Vtex (VTEX) Non-Current Assets (2020 - 2026)
Vtex (VTEX) posted Non-Current Assets of $82.02 million for Q2 2026, up 0.3% from $81.74 million a year earlier and up 5.3% from the prior quarter.
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Analysis
Vtex (VTEX) Non-Current Assets (2020 - 2026) Analysis & Trends
At the end of FY2025, Vtex's Non-Current Assets came in at $79.13 million, up 2.1% from FY2024.
- Annual Non-Current Assets shows a five-year compound annual growth rate of 20.4% (FY2020 to FY2025).
- In prior years, Vtex's Non-Current Assets was $77.52 million in FY2024 (+11.2%), $69.69 million in FY2023 (-1.2%), $70.52 million in FY2022 (+7.7%) and $65.45 million in FY2021 (+109.3%).
- Quarterly Non-Current Assets has run from a low of $251,000 in Q3 2021 to a high of $90.52 million in Q3 2024 over five years.
- On a year-over-year basis, Non-Current Assets increased in six of the last eight quarters, with growth averaging 4.5%.
- The strongest year-over-year quarter for Non-Current Assets in the past five years was Q4 2021, with growth of 109.3%; the weakest was Q3 2025, with a decline of 9.0%.
- According to Business Quant data, Non-Current Assets for the three prior quarters was $77.88 million (Q1 2026), $79.13 million (Q4 2025) and $82.36 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,248.48 Bn | 4,006.00 Bn | 73.85 Bn | 578.46 Bn |
| 2 | Meta Platforms | 1,873.50 Bn | 1,576.02 Bn | 49.47 Bn | 324.48 Bn |
| 3 | Netflix | 304.25 Bn | 264.45 Bn | 6.52 Bn | 44.60 Bn |
| 4 | Alibaba Group Holding | 257.83 Bn | 71.60 Bn | 15.11 Bn | 182.12 Bn |
| 5 | Shopify | 230.63 Bn | 207.82 Bn | 1.71 Bn | 6.65 Bn |
| 6 | Uber Technologies | 145.10 Bn | 116.90 Bn | 6.38 Bn | 53.27 Bn |
| 7 | Booking Holdings | 127.39 Bn | 60.44 Bn | - | 6.63 Bn |
| 8 | PDD Holdings | 115.26 Bn | -128.52 Bn | 9.45 Bn | 806.35 Mn |
| 9 | Spotify Technology | 109.42 Bn | 66.92 Bn | 1.86 Bn | - |
| 10 | Vtex | 760.70 Mn | -13.61 Mn | 51.71 Mn | 82.02 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 82.02 Mn |
| Mar 31, 2026 | 77.88 Mn |
| Dec 31, 2025 | 79.13 Mn |
| Sep 30, 2025 | 82.36 Mn |
| Jun 30, 2025 | 81.74 Mn |
| Mar 31, 2025 | 80.21 Mn |
| Dec 31, 2024 | 77.52 Mn |
| Sep 30, 2024 | 90.52 Mn |
| Jun 30, 2024 | 76.14 Mn |
| Mar 31, 2024 | 78.45 Mn |
| Dec 31, 2023 | 69.69 Mn |
| Sep 30, 2023 | 72.67 Mn |
| Jun 30, 2023 | 75.92 Mn |
| Mar 31, 2023 | 71.29 Mn |
| Dec 31, 2022 | 70.52 Mn |
| Sep 30, 2022 | 70.88 Mn |
| Jun 30, 2022 | 72.61 Mn |
| Mar 31, 2022 | 72.93 Mn |
| Dec 31, 2021 | 65.45 Mn |
| Sep 30, 2021 | 251,000.00 |
API Access
Vtex Non-Current Assets 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=non-current-assets&ticker=VTEX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=VTEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();