Legalzoom.Com (LZ) Shares Outstanding (Diluted) (2020 - 2026)
Legalzoom.Com (LZ) reported Weighted Average Shares Outstanding (Diluted) of 168.94 million for Q3 2026, down 9.5% from 186.73 million a year earlier and down 1.6% from the prior quarter.
Legalzoom.Com (LZ) Shares Outstanding (Diluted) (2020 - 2026) Analysis & Trends
For FY2025, Legalzoom.Com posted Weighted Average Shares Outstanding (Diluted) of 184.69 million, up 1.0% from FY2024.
- Weighted Average Shares Outstanding (Diluted) has a five-year compound annual growth rate of 7.7% (FY2020 to FY2025).
- By year, Weighted Average Shares Outstanding (Diluted) came in at 182.87 million in FY2024 (-5.9%), 194.42 million in FY2023 (-0.7%), 195.83 million in FY2022 (+21.3%) and 161.42 million in FY2021 (+26.8%).
- The Q3 2026 figure ranks as the lowest quarterly Weighted Average Shares Outstanding (Diluted) since Q4 2021.
- Year over year, Weighted Average Shares Outstanding (Diluted) has now declined in each of the last three quarters, with an average decline of 3.2% over the last eight quarters.
- The high point for year-over-year Weighted Average Shares Outstanding (Diluted) in five years was Q1 2022 (growth of 58.5%); the low point was Q3 2024 (a decline of 10.7%).
- Per Business Quant data, the three quarters before Q3 2026 came in at 171.64 million (Q2 2026), 177.01 million (Q1 2026) and 184.69 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 386.60 Bn | 351.42 Bn | 1.93 Bn | 2.57 Bn |
| 2 | Oracle | 343.94 Bn | 216.07 Bn | - | 3.00 Bn |
| 3 | Sap Se | 272.35 Bn | 199.75 Bn | 8.64 Bn | 1.18 Bn |
| 4 | Salesforce | 175.46 Bn | 131.33 Bn | 8.70 Bn | 821.00 Mn |
| 5 | Automatic Data Processing | 122.07 Bn | 108.86 Bn | 2.53 Bn | 403.30 Mn |
| 6 | ServiceNow | 105.47 Bn | 84.73 Bn | 2.90 Bn | 1.04 Bn |
| 7 | Intuit | 94.25 Bn | 73.60 Bn | 3.44 Bn | 277.00 Mn |
| 8 | Relx | 73.66 Bn | 72.75 Bn | - | 1.84 Bn |
| 9 | Strategy | 51.78 Bn | 38.91 Bn | 89.63 Mn | 428.05 Mn |
| 10 | Legalzoom.Com | 880.23 Mn | 145.05 Mn | 138.06 Mn | 168.94 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 168.94 Mn |
| Jun 30, 2026 | 171.64 Mn |
| Mar 31, 2026 | 177.01 Mn |
| Dec 31, 2025 | 184.69 Mn |
| Sep 30, 2025 | 186.73 Mn |
| Jun 30, 2025 | 180.88 Mn |
| Mar 31, 2025 | 180.62 Mn |
| Dec 31, 2024 | 182.87 Mn |
| Sep 30, 2024 | 176.35 Mn |
| Jun 30, 2024 | 186.46 Mn |
| Mar 31, 2024 | 193.40 Mn |
| Dec 31, 2023 | 194.42 Mn |
| Sep 30, 2023 | 197.45 Mn |
| Jun 30, 2023 | 194.83 Mn |
| Mar 31, 2023 | 191.29 Mn |
| Dec 31, 2022 | 195.83 Mn |
| Sep 30, 2022 | 194.91 Mn |
| Jun 30, 2022 | 197.82 Mn |
| Mar 31, 2022 | 198.27 Mn |
| Dec 31, 2021 | 161.42 Mn |
Legalzoom.Com Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=LZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=LZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();