Legalzoom.Com (LZ) Cost of Revenue (2020 - 2026)
Legalzoom.Com (LZ) posted Cost of Revenue of $57.08 million for Q3 2026, down 8.3% from $62.27 million a year earlier and down 12.7% from the prior quarter.
Legalzoom.Com (LZ) Cost of Revenue (2020 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Cost of Revenue at Legalzoom.Com was $258.7 million, up 3.6% year-over-year; for FY2025, it was $257.96 million, up 7.4% from FY2024.
- Annual Cost of Revenue has increased for six consecutive years, with a five-year compound annual growth rate of 10.8% (FY2020 to FY2025).
- In prior years, Legalzoom.Com's Cost of Revenue was $240.09 million in FY2024 (+0.3%), $239.26 million in FY2023 (+13.3%), $211.1 million in FY2022 (+11.5%) and $189.36 million in FY2021 (+22.5%).
- The Q3 2026 figure stands as the lowest quarterly Cost of Revenue since Q4 2024.
- On a year-over-year basis, Cost of Revenue increased in four of the last eight quarters, with growth averaging 3.6%.
- The strongest year-over-year quarter for Cost of Revenue in the past five years was Q1 2022, with growth of 27.8%; the weakest was Q3 2026, with a decline of 8.3%.
- According to Business Quant data, Cost of Revenue for the three prior quarters was $65.36 million (Q2 2026), $74.53 million (Q1 2026) and $61.73 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 386.60 Bn | 351.42 Bn | 1.93 Bn | 383.29 Mn |
| 2 | Oracle | 343.94 Bn | 216.07 Bn | - | - |
| 3 | Sap Se | 272.35 Bn | 199.75 Bn | 8.64 Bn | 3.18 Bn |
| 4 | Salesforce | 175.46 Bn | 131.33 Bn | 8.70 Bn | 2.65 Bn |
| 5 | Automatic Data Processing | 122.07 Bn | 108.86 Bn | 2.53 Bn | 2.97 Bn |
| 6 | ServiceNow | 105.47 Bn | 84.73 Bn | 2.90 Bn | 1.21 Bn |
| 7 | Intuit | 94.25 Bn | 73.60 Bn | 3.44 Bn | 910.00 Mn |
| 8 | Relx | 73.66 Bn | 72.75 Bn | - | - |
| 9 | Strategy | 51.78 Bn | 38.91 Bn | 89.63 Mn | 35.79 Mn |
| 10 | Legalzoom.Com | 880.23 Mn | 145.05 Mn | 138.06 Mn | 57.08 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 57.08 Mn |
| Jun 30, 2026 | 65.36 Mn |
| Mar 31, 2026 | 74.53 Mn |
| Dec 31, 2025 | 61.73 Mn |
| Sep 30, 2025 | 62.27 Mn |
| Jun 30, 2025 | 67.40 Mn |
| Mar 31, 2025 | 66.56 Mn |
| Dec 31, 2024 | 53.39 Mn |
| Sep 30, 2024 | 54.72 Mn |
| Jun 30, 2024 | 63.61 Mn |
| Mar 31, 2024 | 68.38 Mn |
| Dec 31, 2023 | 55.91 Mn |
| Sep 30, 2023 | 59.21 Mn |
| Jun 30, 2023 | 63.75 Mn |
| Mar 31, 2023 | 60.40 Mn |
| Dec 31, 2022 | 47.45 Mn |
| Sep 30, 2022 | 50.31 Mn |
| Jun 30, 2022 | 57.15 Mn |
| Mar 31, 2022 | 56.18 Mn |
| Dec 31, 2021 | 48.28 Mn |
Legalzoom.Com Cost of Revenue 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=cost-of-revenue&ticker=LZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=LZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();