Vtex (VTEX) Return on Sales [ROS] (2020 - 2026)
Vtex (VTEX) posted Return on Sales [ROS] of 15.00% for Q2 2026, up 10.05 percentage points from 4.95% a year earlier and up 5.45 percentage points from the prior quarter.
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Analysis
Vtex (VTEX) Return on Sales [ROS] (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Vtex was 9.17%, up 5.73 percentage points year-over-year; for FY2025, it came in at 7.53%, up 4.27 percentage points from FY2024.
- Annual Return on Sales [ROS] has increased for four consecutive years, with a five-year change of +0.92 percentage points (FY2020 to FY2025).
- In prior years, Vtex's Return on Sales [ROS] was 3.26% in FY2024 (+10.25 pp), -6.99% in FY2023 (+24.68 pp), -31.67% in FY2022 (+20.75 pp) and -52.42% in FY2021 (-59.03 pp).
- Quarterly Return on Sales [ROS] has run from a low of -177.63% in Q4 2021 to a high of 16.47% in Q4 2025 over five years.
- On a year-over-year basis, Return on Sales [ROS] has increased in each of the last 17 quarters, with an average year-over-year change of +5.67 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q4 2022, with a gain of 171.04 percentage points; the weakest was Q4 2021, with a drop of 170.41 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 9.56% (Q1 2026), 16.47% (Q4 2025) and 3.99% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,462.85 Bn | 3,197.75 Bn | 76.16 Bn | 31.81% |
| 2 | Meta Platforms | 1,559.43 Bn | 1,223.94 Bn | 51.23 Bn | 20.10% |
| 3 | Netflix | 262.12 Bn | 223.42 Bn | 6.80 Bn | 34.63% |
| 4 | Alibaba Group Holding | 253.57 Bn | 67.20 Bn | 15.16 Bn | 5.64% |
| 5 | Shopify | 191.77 Bn | 170.57 Bn | 1.78 Bn | 15.18% |
| 6 | Uber Technologies | 139.89 Bn | 110.71 Bn | 6.42 Bn | 9.80% |
| 7 | AppLovin | 130.31 Bn | 118.84 Bn | 1.94 Bn | 78.22% |
| 8 | Spotify Technology | 123.80 Bn | 80.72 Bn | 1.89 Bn | 13.52% |
| 9 | Booking Holdings | 120.61 Bn | 54.35 Bn | - | 38.43% |
| 10 | Vtex | 710.41 Mn | -46.50 Mn | 50.55 Mn | 11.38% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 11.38% |
| Jun 30, 2026 | 15.00% |
| Mar 31, 2026 | 9.56% |
| Dec 31, 2025 | 16.47% |
| Sep 30, 2025 | 7.05% |
| Jun 30, 2025 | 4.95% |
| Mar 31, 2025 | -0.37% |
| Dec 31, 2024 | 10.89% |
| Sep 30, 2024 | 4.11% |
| Jun 30, 2024 | 1.42% |
| Mar 31, 2024 | -4.75% |
| Dec 31, 2023 | 10.10% |
| Sep 30, 2023 | -7.11% |
| Jun 30, 2023 | -15.34% |
| Mar 31, 2023 | -385.08% |
| Dec 31, 2022 | -6.65% |
| Sep 30, 2022 | -503.97% |
| Jun 30, 2022 | -48.89% |
| Mar 31, 2022 | -798.95% |
| Dec 31, 2021 | -35.41% |
API Access
Vtex Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=VTEX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=VTEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();