CS Disco (LAW) Return on Sales [ROS] (2020 - 2026)
CS Disco (LAW) posted Return on Sales [ROS] of -21.36% for Q2 2026, up 9.63 percentage points from -30.99% a year earlier and up 2.74 percentage points from the prior quarter.
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Analysis
CS Disco (LAW) Return on Sales [ROS] (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at CS Disco was -25.74%, up 15.76 percentage points year-over-year; for FY2025, it came in at -30.68%, up 11.93 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of +2.19 percentage points (FY2020 to FY2025).
- In prior years, CS Disco's Return on Sales [ROS] was -42.61% in FY2024 (-6.52 pp), -36.10% in FY2023 (+17.02 pp), -53.12% in FY2022 (-32.28 pp) and -20.84% in FY2021 (+12.03 pp).
- The Q2 2026 figure stands as the highest quarterly Return on Sales [ROS] since Q3 2023.
- On a year-over-year basis, Return on Sales [ROS] has increased in each of the last three quarters, with an average year-over-year change of -0.55 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q3 2023, with a gain of 49.93 percentage points; the weakest was Q2 2022, with a drop of 49.15 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was -24.10% (Q1 2026), -22.45% (Q4 2025) and -35.34% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 453.55 Bn | 422.61 Bn | 1.64 Bn | 47.12% |
| 2 | Oracle | 430.98 Bn | 303.54 Bn | - | 34.78% |
| 3 | Sap Se | 256.23 Bn | 177.31 Bn | 8.40 Bn | 26.76% |
| 4 | Salesforce | 193.08 Bn | 148.96 Bn | 8.70 Bn | 20.55% |
| 5 | ServiceNow | 138.94 Bn | 117.40 Bn | 2.82 Bn | 4.06% |
| 6 | Automatic Data Processing | 102.51 Bn | 84.63 Bn | 2.51 Bn | -33.33% |
| 7 | Intuit | 75.44 Bn | 54.79 Bn | 3.44 Bn | 10.91% |
| 8 | Relx | 60.79 Bn | 57.76 Bn | - | - |
| 9 | Strategy | 56.32 Bn | 49.31 Bn | 81.55 Mn | -6,808.11% |
| 10 | CS Disco | 271.10 Mn | -161.41 Mn | 32.11 Mn | -21.36% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -21.36% |
| Mar 31, 2026 | -24.10% |
| Dec 31, 2025 | -22.45% |
| Sep 30, 2025 | -35.34% |
| Jun 30, 2025 | -30.99% |
| Mar 31, 2025 | -34.40% |
| Dec 31, 2024 | -70.62% |
| Sep 30, 2024 | -29.99% |
| Jun 30, 2024 | -34.40% |
| Mar 31, 2024 | -34.67% |
| Dec 31, 2023 | -21.48% |
| Sep 30, 2023 | -8.29% |
| Jun 30, 2023 | -49.57% |
| Mar 31, 2023 | -67.25% |
| Dec 31, 2022 | -61.55% |
| Sep 30, 2022 | -58.22% |
| Jun 30, 2022 | -59.20% |
| Mar 31, 2022 | -34.11% |
| Dec 31, 2021 | -26.47% |
| Sep 30, 2021 | -30.36% |
API Access
CS Disco 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=LAW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=LAW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();