Vtex (VTEX) Other Operating Expenses (2020 - 2026)
Vtex (VTEX) posted Other Operating Expenses of -$408000.0 for Q1 2026, up 7.06% on a QoQ basis from -$439000.0 in Q4 2025, and up 4.9% year-over-year from -$388960.0 in Q1 2025.
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Analysis
Vtex (VTEX) Other Operating Expenses (2020 - 2026) Analysis & Trends
Vtex has reported Other Operating Expenses for 7 years, with the latest figure at -$408000.0 in Q1 2026.
- On a quarterly basis, Other Operating Expenses rose 4.9% year-over-year to -$408000.0 in Q1 2026; TTM through Jun 2026 was -$1.2 million, a 34.43% increase from a year earlier, with the FY2025 full-year figure at -$1.7 million, down 32.99% from the prior year.
- Other Operating Expenses was -$408000.0 for Q1 2026 at Vtex, up from -$439000.0 in the prior quarter.
- The five-year high for Other Operating Expenses was -$99000.0 in Q3 2023, with the low at -$1.9 million in Q4 2023.
- Average Other Operating Expenses over 5 years is -$574785.7, with a median of -$456500.0 recorded in 2022.
- The sharpest annual moves came in 2022 and 2024: Other Operating Expenses surged 97.46% in 2022, then slumped 574.75% in 2024.
- Over 5 years, Other Operating Expenses stood at -$402000.0 in 2022, then plunged by 377.86% to -$1.9 million in 2023, then jumped by 62.31% to -$724000.0 in 2024, then surged by 39.36% to -$439000.0 in 2025, then gained by 7.06% to -$408000.0 in 2026.
- The last three Other Operating Expenses figures came in at -$408000.0 (Q1 2026), -$439000.0 (Q4 2025), and -$347000.0 (Q3 2025), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,070.34 Bn | 3,641.31 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,876.83 Bn | 1,786.57 Bn | 49.47 Bn |
| 3 | Netflix | 297.14 Bn | 288.01 Bn | 6.52 Bn |
| 4 | Alibaba Group Holding | 257.29 Bn | 222.03 Bn | 15.11 Bn |
| 5 | Shopify | 184.36 Bn | 179.41 Bn | 1.71 Bn |
| 6 | Uber Technologies | 141.62 Bn | 136.41 Bn | 6.38 Bn |
| 7 | Booking Holdings | 117.14 Bn | 99.93 Bn | 4.98 Bn |
| 8 | PDD Holdings | 112.73 Bn | 82.45 Bn | 9.45 Bn |
| 9 | AppLovin | 105.70 Bn | 102.65 Bn | 1.70 Bn |
| 10 | Vtex | 624.51 Mn | 438.62 Mn | 51.71 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -408,000.00 |
| Dec 31, 2025 | -439,000.00 |
| Sep 30, 2025 | -347,000.00 |
| Mar 31, 2025 | -429,000.00 |
| Dec 31, 2024 | -724,000.00 |
| Sep 30, 2024 | -668,000.00 |
| Mar 31, 2024 | -382,000.00 |
| Dec 31, 2023 | -1.92 Mn |
| Sep 30, 2023 | -99,000.00 |
| Jun 30, 2023 | -511,000.00 |
| Mar 31, 2023 | -754,000.00 |
| Dec 31, 2022 | -402,000.00 |
| Sep 30, 2022 | -489,000.00 |
| Jun 30, 2022 | -474,000.00 |
| Dec 31, 2021 | -1.51 Mn |
| Sep 30, 2021 | -19.27 Mn |
| Jun 30, 2021 | -868,000.00 |
| Dec 31, 2020 | 123,000.00 |
| Sep 30, 2020 | -5.60 Mn |
API Access
Vtex Other Operating Expenses 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=other-operating-expenses&ticker=VTEX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=VTEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();