SCWorx (WORX) Return on Sales [ROS] (2016 - 2026)
SCWorx (WORX) recorded Return on Sales [ROS] of -17.13% in Q2 2026, up 25.87 percentage points from -43.00% a year earlier and up 1.10 percentage points from the prior quarter.
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Analysis
SCWorx (WORX) Return on Sales [ROS] (2016 - 2026) Analysis & Trends
On a TTM basis, SCWorx's Return on Sales [ROS] came in at -20.10% as of Jun 30, 2026, up 29.27 percentage points year-over-year; for FY2025, it was -33.32%, up 8.81 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of +82.64 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at -42.13% in FY2024 (-4.00 pp), -38.13% in FY2023 (+14.46 pp), -52.58% in FY2022 (+29.76 pp) and -82.34% in FY2021 (+33.62 pp).
- The Q2 2026 figure is the highest quarterly Return on Sales [ROS] since Q4 2023.
- On a year-over-year basis, Return on Sales [ROS] has increased for four consecutive quarters, with an average year-over-year change of +10.37 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 87.97 percentage points in Q3 2021, against a drop of 67.98 percentage points in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at -18.23% (Q1 2026), -25.01% (Q4 2025) and -19.67% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 44.24 Bn | 16.49 Bn | 695.95 Mn | 29.64% |
| 3 | Samsara | 24.06 Bn | 20.83 Bn | 392.58 Mn | 0.96% |
| 4 | Toast | 17.18 Bn | 9.85 Bn | 516.00 Mn | 7.97% |
| 5 | Ptc | 15.95 Bn | 14.76 Bn | 490.47 Mn | 27.75% |
| 6 | Duolingo | 13.49 Bn | 8.67 Bn | 216.74 Mn | 11.37% |
| 7 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 13.58% |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn | 22.24% |
| 9 | Costar | 11.09 Bn | 5.06 Bn | 728.00 Mn | 8.22% |
| 10 | SCWorx | 360,646.76 | -4.57 Mn | 330,423.00 | -17.13% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -17.13% |
| Mar 31, 2026 | -18.23% |
| Dec 31, 2025 | -25.01% |
| Sep 30, 2025 | -19.67% |
| Jun 30, 2025 | -43.00% |
| Mar 31, 2025 | -46.37% |
| Dec 31, 2024 | -56.28% |
| Sep 30, 2024 | -51.79% |
| Jun 30, 2024 | -41.39% |
| Mar 31, 2024 | -21.97% |
| Dec 31, 2023 | -4.92% |
| Sep 30, 2023 | -94.69% |
| Jun 30, 2023 | -14.98% |
| Mar 31, 2023 | -40.04% |
| Dec 31, 2022 | -24.79% |
| Sep 30, 2022 | -54.62% |
| Jun 30, 2022 | -56.77% |
| Mar 31, 2022 | -74.31% |
| Dec 31, 2021 | -68.72% |
| Sep 30, 2021 | -84.51% |
API Access
SCWorx 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=WORX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "WORX", "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=WORX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();