Vtex (VTEX) Total Liabilities (2020 - 2026)
Vtex (VTEX) reported Total Liabilities of $116.51 million for Q2 2026, up 1.0% from $115.31 million a year earlier and up 8.6% from the prior quarter.
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Analysis
Vtex (VTEX) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Vtex posted Total Liabilities of $113.07 million, up 4.7% from FY2024.
- Total Liabilities has increased for three consecutive years, with a five-year compound annual growth rate of 12.0% (FY2020 to FY2025).
- By year, Total Liabilities came in at $107.96 million in FY2024 (+11.0%), $97.23 million in FY2023 (+14.4%), $85 million in FY2022 (-3.2%) and $87.78 million in FY2021 (+36.6%).
- The Q2 2026 figure ranks as the highest quarterly Total Liabilities in data going back to Q4 2020.
- The high point for year-over-year Total Liabilities in five years was Q4 2021 (growth of 36.6%); the low point was Q3 2022 (a decline of 13.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $107.29 million (Q1 2026), $113.07 million (Q4 2025) and $112.43 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,248.48 Bn | 4,006.00 Bn | 73.85 Bn | 281.50 Bn |
| 2 | Meta Platforms | 1,873.50 Bn | 1,576.02 Bn | 49.47 Bn | 188.74 Bn |
| 3 | Netflix | 304.25 Bn | 264.45 Bn | 6.52 Bn | 28.30 Bn |
| 4 | Alibaba Group Holding | 257.83 Bn | 71.60 Bn | 15.11 Bn | 125.97 Bn |
| 5 | Shopify | 230.63 Bn | 207.82 Bn | 1.71 Bn | 1.79 Bn |
| 6 | Uber Technologies | 145.10 Bn | 116.90 Bn | 6.38 Bn | 37.58 Bn |
| 7 | Booking Holdings | 127.39 Bn | 60.44 Bn | - | 40.47 Bn |
| 8 | PDD Holdings | 115.26 Bn | -128.52 Bn | 9.45 Bn | 31.74 Bn |
| 9 | Spotify Technology | 109.42 Bn | 66.92 Bn | 1.86 Bn | 6.13 Bn |
| 10 | Vtex | 760.70 Mn | -13.61 Mn | 51.71 Mn | 116.58 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 116.58 Mn |
| Mar 31, 2026 | 107.36 Mn |
| Dec 31, 2025 | 113.07 Mn |
| Sep 30, 2025 | 112.48 Mn |
| Jun 30, 2025 | 115.35 Mn |
| Dec 31, 2024 | 107.96 Mn |
| Jun 30, 2024 | 104.52 Mn |
| Mar 31, 2024 | 103.71 Mn |
| Dec 31, 2023 | 102.43 Mn |
| Sep 30, 2023 | 91.09 Mn |
| Jun 30, 2023 | 92.91 Mn |
| Mar 31, 2023 | 86.03 Mn |
| Dec 31, 2022 | 85.00 Mn |
| Sep 30, 2022 | 78.83 Mn |
| Jun 30, 2022 | 79.86 Mn |
| Mar 31, 2022 | 88.18 Mn |
| Dec 31, 2021 | 87.78 Mn |
| Sep 30, 2021 | 90.97 Mn |
| Jun 30, 2021 | 83.70 Mn |
| Dec 31, 2020 | 64.39 Mn |
API Access
Vtex Total 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-liabilities&ticker=VTEX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=VTEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();