Legalzoom.Com (LZ) Price to Earnings (2023 - 2026)
Legalzoom.Com's (LZ) Price to Earnings was 45.69 for Q3 2026, down 45.5% from 83.84 a year earlier and down 25.0% from the prior quarter.
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Analysis
Legalzoom.Com (LZ) Price to Earnings (2023 - 2026) Analysis & Trends
For FY2025, Price to Earnings at Legalzoom.Com was 114.33, up 162.7% from FY2024.
- By year, Price to Earnings came in at 43.52 in FY2024 (-71.5%) and 152.69 in FY2023.
- The Q3 2026 figure ranks as the lowest quarterly Price to Earnings since Q4 2024.
- Year over year, Price to Earnings gained in four of the last eight quarters, with growth averaging 16.4%.
- The high point for year-over-year Price to Earnings in five years was Q4 2025 (growth of 162.7%); the low point was Q3 2024 (a decline of 81.8%).
- Per Business Quant data, the three quarters before Q3 2026 came in at 60.91 (Q2 2026), 86.21 (Q1 2026) and 114.33 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 386.60 Bn | 351.42 Bn | 1.93 Bn |
| 2 | Oracle | 343.94 Bn | 216.07 Bn | - |
| 3 | Sap Se | 272.35 Bn | 199.75 Bn | 8.64 Bn |
| 4 | Salesforce | 175.46 Bn | 131.33 Bn | 8.70 Bn |
| 5 | Automatic Data Processing | 122.07 Bn | 108.86 Bn | 2.53 Bn |
| 6 | ServiceNow | 105.47 Bn | 84.73 Bn | 2.90 Bn |
| 7 | Intuit | 94.25 Bn | 73.60 Bn | 3.44 Bn |
| 8 | Relx | 73.66 Bn | 72.75 Bn | - |
| 9 | Strategy | 51.78 Bn | 38.91 Bn | 89.63 Mn |
| 10 | Legalzoom.Com | 880.23 Mn | 145.05 Mn | 138.06 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 45.69 |
| Jun 30, 2026 | 60.91 |
| Mar 31, 2026 | 86.21 |
| Dec 31, 2025 | 114.33 |
| Sep 30, 2025 | 83.84 |
| Jun 30, 2025 | 55.78 |
| Mar 31, 2025 | 51.40 |
| Dec 31, 2024 | 43.52 |
| Sep 30, 2024 | 44.90 |
| Jun 30, 2024 | 70.45 |
| Mar 31, 2024 | 119.67 |
| Dec 31, 2023 | 152.69 |
| Sep 30, 2023 | 247.06 |
API Access
Legalzoom.Com Price to Earnings 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=price-to-earnings&ticker=LZ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=LZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();