Vtex (VTEX) Receivables (2020 - 2026)
Vtex (VTEX) posted Receivables of $58.31 million for Q2 2026, up 5.0% from $55.53 million a year earlier and up 11.4% from the prior quarter.
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Analysis
Vtex (VTEX) Receivables (2020 - 2026) Analysis & Trends
At the end of FY2025, Vtex's Receivables came in at $67.82 million, up 6.1% from FY2024.
- Annual Receivables has increased for five consecutive years, with a five-year compound annual growth rate of 22.0% (FY2020 to FY2025).
- In prior years, Vtex's Receivables was $63.9 million in FY2024 (+21.8%), $52.45 million in FY2023 (+21.7%), $43.08 million in FY2022 (+2.6%) and $41.97 million in FY2021 (+67.0%).
- Quarterly Receivables has run from a low of $7.42 million in Q4 2023 to a high of $63.9 million in Q4 2024 over five years.
- On a year-over-year basis, Receivables increased in six of the last eight quarters, with growth averaging 102.8%.
- The strongest year-over-year quarter for Receivables in the past five years was Q4 2024, with growth of 761.8%; the weakest was Q4 2023, with a decline of 82.8%.
- According to Business Quant data, Receivables for the three prior quarters was $52.33 million (Q1 2026), $61.6 million (Q4 2025) and $54.05 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,441.41 Bn | 3,176.31 Bn | 76.16 Bn | 72.78 Bn |
| 2 | Meta Platforms | 1,546.51 Bn | 1,211.03 Bn | 51.23 Bn | 22.72 Bn |
| 3 | Netflix | 269.88 Bn | 231.18 Bn | 6.80 Bn | - |
| 4 | Alibaba Group Holding | 251.04 Bn | 64.67 Bn | 15.16 Bn | - |
| 5 | Shopify | 185.46 Bn | 164.27 Bn | 1.78 Bn | 483.00 Mn |
| 6 | Uber Technologies | 139.78 Bn | 111.58 Bn | 6.38 Bn | 4.30 Bn |
| 7 | Booking Holdings | 126.33 Bn | 60.08 Bn | - | 4.32 Bn |
| 8 | Spotify Technology | 126.29 Bn | 83.21 Bn | 1.89 Bn | 926.55 Mn |
| 9 | AppLovin | 119.11 Bn | 107.63 Bn | 1.94 Bn | 2.39 Bn |
| 10 | Vtex | 712.21 Mn | -62.11 Mn | 51.71 Mn | 58.31 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 58.31 Mn |
| Mar 31, 2026 | 52.33 Mn |
| Dec 31, 2025 | 67.82 Mn |
| Sep 30, 2025 | 54.05 Mn |
| Jun 30, 2025 | 55.53 Mn |
| Mar 31, 2025 | 53.40 Mn |
| Dec 31, 2024 | 63.90 Mn |
| Sep 30, 2024 | 53.82 Mn |
| Jun 30, 2024 | 49.10 Mn |
| Mar 31, 2024 | 45.19 Mn |
| Dec 31, 2023 | 44.12 Mn |
| Sep 30, 2023 | 41.59 Mn |
| Jun 30, 2023 | 43.43 Mn |
| Mar 31, 2023 | 37.54 Mn |
| Dec 31, 2022 | 43.08 Mn |
| Sep 30, 2022 | 33.16 Mn |
| Jun 30, 2022 | 32.67 Mn |
| Dec 31, 2021 | 41.97 Mn |
| Sep 30, 2021 | 34.57 Mn |
| Jun 30, 2021 | 31.33 Mn |
API Access
Vtex Receivables 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=receivables&ticker=VTEX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=VTEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();