CS Disco (LAW) Return on Capital Employed [ROCE] (2021 - 2026)
CS Disco (LAW) posted Return on Capital Employed [ROCE] of -34.59% for Q2 2026, up 7.70 percentage points from -42.28% a year earlier but down 0.55 percentage points from the prior quarter.
CS Disco (LAW) Return on Capital Employed [ROCE] (2021 - 2026) Analysis & Trends
For FY2025, CS Disco's Return on Capital Employed [ROCE] came in at -35.24%, down 1.00 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] shows a four-year change of -20.77 percentage points (FY2021 to FY2025).
- In prior years, CS Disco's Return on Capital Employed [ROCE] was -34.24% in FY2024 (-11.67 pp), -22.57% in FY2023 (+6.25 pp), -28.83% in FY2022 (-14.35 pp) and -14.48% in FY2021.
- Quarterly Return on Capital Employed [ROCE] has run from a low of -49.69% in Q3 2025 to a high of -8.75% in Q4 2021 over five years.
- On a year-over-year basis, Return on Capital Employed [ROCE] has increased in each of the last three quarters, with an average year-over-year change of -7.83 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Capital Employed [ROCE] in the past five years was Q2 2024, with a gain of 17.74 percentage points; the weakest was Q3 2025, with a drop of 25.00 percentage points.
- According to Business Quant data, Return on Capital Employed [ROCE] for the three prior quarters was -34.03% (Q1 2026), -35.97% (Q4 2025) and -49.69% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 453.55 Bn | 422.61 Bn | 1.64 Bn | 28.02% |
| 2 | Oracle | 430.98 Bn | 303.54 Bn | - | 9.81% |
| 3 | Sap Se | 256.23 Bn | 177.31 Bn | 8.40 Bn | 33.74% |
| 4 | Salesforce | 193.08 Bn | 148.96 Bn | 8.70 Bn | 10.68% |
| 5 | ServiceNow | 138.94 Bn | 117.40 Bn | 2.82 Bn | 10.59% |
| 6 | Automatic Data Processing | 102.51 Bn | 84.63 Bn | 2.51 Bn | -46.62% |
| 7 | Intuit | 75.44 Bn | 54.79 Bn | 3.44 Bn | 21.09% |
| 8 | Relx | 60.79 Bn | 57.76 Bn | - | - |
| 9 | Strategy | 56.32 Bn | 49.31 Bn | 81.55 Mn | -68.70% |
| 10 | CS Disco | 271.10 Mn | -161.41 Mn | 32.11 Mn | -34.59% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -34.59% |
| Mar 31, 2026 | -34.03% |
| Dec 31, 2025 | -35.97% |
| Sep 30, 2025 | -49.69% |
| Jun 30, 2025 | -42.28% |
| Mar 31, 2025 | -40.06% |
| Dec 31, 2024 | -38.18% |
| Sep 30, 2024 | -24.70% |
| Jun 30, 2024 | -18.86% |
| Mar 31, 2024 | -19.24% |
| Dec 31, 2023 | -23.99% |
| Sep 30, 2023 | -29.58% |
| Jun 30, 2023 | -36.59% |
| Mar 31, 2023 | -36.04% |
| Dec 31, 2022 | -30.05% |
| Sep 30, 2022 | -24.10% |
| Jun 30, 2022 | -19.25% |
| Mar 31, 2022 | -12.37% |
| Dec 31, 2021 | -8.75% |
| Sep 30, 2021 | -10.74% |
CS Disco 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=LAW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "LAW", "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=LAW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();