Vtex (VTEX) Total Non-Current Liabilities (2020 - 2026)
Vtex (VTEX) reported Total Non-Current Liabilities of $144,000 for Q2 2026, down 18.6% from $177,000 a year earlier and down 8.3% from the prior quarter.
Vtex (VTEX) Total Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Vtex posted Total Non-Current Liabilities of $161,000, up 0.6% from FY2024.
- Total Non-Current Liabilities has a four-year compound annual growth rate of 0.2% (FY2021 to FY2025).
- By year, Total Non-Current Liabilities came in at $160,000 in FY2024 (-99.2%), $21.33 million in FY2023, $160,000 in FY2022 (unchanged) and $160,000 in FY2021.
- The Q2 2026 figure ranks as the lowest quarterly Total Non-Current Liabilities since Q2 2024.
- Year over year, Total Non-Current Liabilities gained in two of the last four quarters, with an average decline of 1.0%.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q2 2025 (growth of 113.3%); the low point was Q1 2023 (a decline of 99.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $157,000 (Q1 2026), $161,000 (Q4 2025) and $177,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,441.41 Bn | 3,176.31 Bn | 76.16 Bn | 304.25 Bn |
| 2 | Meta Platforms | 1,546.51 Bn | 1,211.03 Bn | 51.23 Bn | 172.58 Bn |
| 3 | Netflix | 269.88 Bn | 231.18 Bn | 6.80 Bn | 26.68 Bn |
| 4 | Alibaba Group Holding | 251.04 Bn | 64.67 Bn | 15.16 Bn | 122.20 Bn |
| 5 | Shopify | 185.46 Bn | 164.27 Bn | 1.78 Bn | 313.00 Mn |
| 6 | Uber Technologies | 139.78 Bn | 111.58 Bn | 6.38 Bn | 37.14 Bn |
| 7 | Booking Holdings | 126.33 Bn | 60.08 Bn | - | 37.96 Bn |
| 8 | Spotify Technology | 126.29 Bn | 83.21 Bn | 1.89 Bn | 6.29 Bn |
| 9 | AppLovin | 119.11 Bn | 107.63 Bn | 1.94 Bn | 5.02 Bn |
| 10 | Vtex | 712.21 Mn | -62.11 Mn | 51.71 Mn | 144,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 144,000.00 |
| Mar 31, 2026 | 157,000.00 |
| Dec 31, 2025 | 25.11 Mn |
| Sep 30, 2025 | 177,000.00 |
| Jun 30, 2025 | 177,000.00 |
| Dec 31, 2024 | 27.94 Mn |
| Jun 30, 2024 | 83,000.00 |
| Mar 31, 2024 | 25.32 Mn |
| Dec 31, 2023 | 23.57 Mn |
| Sep 30, 2023 | 23.81 Mn |
| Jun 30, 2023 | 160,000.00 |
| Mar 31, 2023 | 160,000.00 |
| Dec 31, 2022 | 20.98 Mn |
| Sep 30, 2022 | 160,000.00 |
| Jun 30, 2022 | 160,000.00 |
| Mar 31, 2022 | 27.92 Mn |
| Dec 31, 2021 | 28.89 Mn |
| Sep 30, 2021 | 19.39 Mn |
| Jun 30, 2021 | 22.98 Mn |
| Dec 31, 2020 | 17.21 Mn |
Vtex Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=VTEX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=VTEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();