SCWorx (WORX) Return on Capital Employed [ROCE] (2016 - 2026)
SCWorx (WORX) reported Return on Capital Employed [ROCE] of -8.44% for Q2 2026, up 16.09 percentage points from -24.53% a year earlier and up 2.26 percentage points from the prior quarter.
SCWorx (WORX) Return on Capital Employed [ROCE] (2016 - 2026) Analysis & Trends
For FY2025, SCWorx posted Return on Capital Employed [ROCE] of -15.03%, up 13.11 percentage points from FY2024.
- Return on Capital Employed [ROCE] has a five-year change of +90.82 percentage points (FY2020 to FY2025).
- By year, Return on Capital Employed [ROCE] came in at -28.14% in FY2024 (-1.42 pp), -26.72% in FY2023 (+4.22 pp), -30.94% in FY2022 (+19.31 pp) and -50.25% in FY2021 (+55.60 pp).
- The Q2 2026 figure ranks as the highest quarterly Return on Capital Employed [ROCE] in data going back to Q4 2016.
- Year over year, Return on Capital Employed [ROCE] has now increased in each of the last eight quarters, with an average year-over-year change of +9.19 percentage points over the last eight quarters.
- The high point for year-over-year Return on Capital Employed [ROCE] in five years was Q3 2021 (a gain of 107.65 percentage points); the low point was Q2 2024 (a drop of 19.74 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at -10.70% (Q1 2026), -14.11% (Q4 2025) and -20.00% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 44.24 Bn | 16.49 Bn | 695.95 Mn | 13.55% |
| 3 | Samsara | 24.06 Bn | 20.83 Bn | 392.58 Mn | 1.12% |
| 4 | Toast | 17.18 Bn | 9.85 Bn | 516.00 Mn | 21.19% |
| 5 | Ptc | 15.95 Bn | 14.76 Bn | 490.47 Mn | 21.53% |
| 6 | Duolingo | 13.49 Bn | 8.67 Bn | 216.74 Mn | 10.56% |
| 7 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 8.74% |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn | 112.05% |
| 9 | Costar | 11.09 Bn | 5.06 Bn | 728.00 Mn | 0.82% |
| 10 | SCWorx | 360,646.76 | -4.57 Mn | 330,423.00 | -8.44% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -8.44% |
| Mar 31, 2026 | -10.70% |
| Dec 31, 2025 | -14.11% |
| Sep 30, 2025 | -20.00% |
| Jun 30, 2025 | -24.53% |
| Mar 31, 2025 | -27.23% |
| Dec 31, 2024 | -27.39% |
| Sep 30, 2024 | -20.59% |
| Jun 30, 2024 | -39.41% |
| Mar 31, 2024 | -33.49% |
| Dec 31, 2023 | -27.83% |
| Sep 30, 2023 | -26.05% |
| Jun 30, 2023 | -19.67% |
| Mar 31, 2023 | -26.46% |
| Dec 31, 2022 | -30.59% |
| Sep 30, 2022 | -39.85% |
| Jun 30, 2022 | -47.87% |
| Mar 31, 2022 | -59.96% |
| Dec 31, 2021 | -54.06% |
| Sep 30, 2021 | -48.19% |
SCWorx Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=WORX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=WORX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();