Legalzoom.Com (LZ) Return on Sales [ROS] (2020 - 2026)
Legalzoom.Com (LZ) recorded Return on Sales [ROS] of 5.19% in Q2 2026, up 6.80 percentage points from -1.61% a year earlier and up 3.85 percentage points from the prior quarter.
Legalzoom.Com (LZ) Return on Sales [ROS] (2020 - 2026) Analysis & Trends
On a TTM basis, Legalzoom.Com's Return on Sales [ROS] came in at 4.10% as of Jun 30, 2026, down 0.89 percentage points year-over-year; for FY2025, it was 3.30%, down 1.91 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of -7.09 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at 5.22% in FY2024 (+2.03 pp), 3.19% in FY2023 (+9.92 pp), -6.73% in FY2022 (+8.06 pp) and -14.79% in FY2021 (-25.19 pp).
- Quarterly Return on Sales [ROS] has ranged from -18.60% in Q3 2021 to 9.65% in Q3 2024 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] rose in four of the last eight quarters, with an average year-over-year change of +0.32 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 21.45 percentage points in Q4 2022, against a drop of 33.49 percentage points in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at 1.34% (Q1 2026), 6.63% (Q4 2025) and 3.41% (Q3 2025).
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 | Legalzoom.Com | 937.73 Mn | 147.09 Mn | 139.93 Mn | 5.19% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.19% |
| Mar 31, 2026 | 1.34% |
| Dec 31, 2025 | 6.63% |
| Sep 30, 2025 | 3.41% |
| Jun 30, 2025 | -1.61% |
| Mar 31, 2025 | 4.90% |
| Dec 31, 2024 | 8.11% |
| Sep 30, 2024 | 9.65% |
| Jun 30, 2024 | 0.65% |
| Mar 31, 2024 | 2.90% |
| Dec 31, 2023 | 4.32% |
| Sep 30, 2023 | 6.13% |
| Jun 30, 2023 | 2.81% |
| Mar 31, 2023 | -0.48% |
| Dec 31, 2022 | 3.36% |
| Sep 30, 2022 | -6.57% |
| Jun 30, 2022 | -7.00% |
| Mar 31, 2022 | -16.13% |
| Dec 31, 2021 | -18.08% |
| Sep 30, 2021 | -18.60% |
Legalzoom.Com 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=LZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "LZ", "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=LZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();