Vertex (VERX) Return on Sales [ROS] (2019 - 2026)
Vertex (VERX) reported Return on Sales [ROS] of -2.18% for Q2 2026, down 0.08 percentage points from -2.09% a year earlier but up 3.22 percentage points from the prior quarter.
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Analysis
Vertex (VERX) Return on Sales [ROS] (2019 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Vertex's Return on Sales [ROS] came in at -1.69%, down 0.63 percentage points year-over-year; for FY2025, it was 0.31%, up 0.65 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of +28.27 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at -0.33% in FY2024 (+2.72 pp), -3.06% in FY2023 (-1.42 pp), -1.64% in FY2022 (-0.95 pp) and -0.69% in FY2021 (+27.27 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of -7.34% in Q4 2024 and a high of 4.68% in Q2 2024.
- Year over year, Return on Sales [ROS] gained in three of the last eight quarters, with an average year-over-year change of -0.92 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was Q3 2021 (a gain of 49.59 percentage points); the low point was Q1 2026 (a drop of 7.93 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at -5.39% (Q1 2026), -1.34% (Q4 2025) and 2.25% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 407.88 Bn | 372.70 Bn | 1.93 Bn | 46.89% |
| 2 | Oracle | 352.81 Bn | 224.94 Bn | - | 34.78% |
| 3 | Sap Se | 277.10 Bn | 204.50 Bn | 8.64 Bn | 28.53% |
| 4 | Salesforce | 176.64 Bn | 132.51 Bn | 8.70 Bn | 20.55% |
| 5 | Automatic Data Processing | 121.60 Bn | 108.39 Bn | 2.53 Bn | -30.06% |
| 6 | ServiceNow | 107.74 Bn | 87.00 Bn | 2.90 Bn | 9.38% |
| 7 | Intuit | 93.38 Bn | 72.73 Bn | 3.44 Bn | 10.91% |
| 8 | Relx | 73.25 Bn | 72.34 Bn | - | - |
| 9 | Strategy | 50.71 Bn | 37.85 Bn | 89.63 Mn | 16,670.89% |
| 10 | Vertex | 2.79 Bn | 1.76 Bn | 140.21 Mn | 0.15% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 0.15% |
| Jun 30, 2026 | -2.18% |
| Mar 31, 2026 | -5.39% |
| Dec 31, 2025 | -1.34% |
| Sep 30, 2025 | 2.25% |
| Jun 30, 2025 | -2.09% |
| Mar 31, 2025 | 2.53% |
| Dec 31, 2024 | -7.34% |
| Sep 30, 2024 | 2.87% |
| Jun 30, 2024 | 4.68% |
| Mar 31, 2024 | -1.00% |
| Dec 31, 2023 | -1.61% |
| Sep 30, 2023 | -1.39% |
| Jun 30, 2023 | -2.91% |
| Mar 31, 2023 | -6.73% |
| Dec 31, 2022 | -2.58% |
| Sep 30, 2022 | -0.69% |
| Jun 30, 2022 | -3.60% |
| Mar 31, 2022 | 0.41% |
| Dec 31, 2021 | -0.01% |
API Access
Vertex 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=VERX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "VERX", "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=VERX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();