Legalzoom.Com (LZ) Operating Expenses (2020 - 2026)
Legalzoom.Com's Operating Expenses came in at $129.28 million for Q2 2026, up 0.8% from $128.21 million a year earlier but down 0.2% from the prior quarter.
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Analysis
Legalzoom.Com (LZ) Operating Expenses (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Legalzoom.Com reported Operating Expenses of $496.08 million, up 15.7% year-over-year; for FY2025, it came in at $473.11 million, up 16.5% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 12.1% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $406.21 million in FY2024 (+1.4%), $400.41 million in FY2023 (-11.1%), $450.62 million in FY2022 (-4.3%) and $470.79 million in FY2021 (+76.2%).
- The five-year range for quarterly Operating Expenses is $94.25 million (Q4 2022) to $129.49 million (Q1 2026).
- Year-over-year, Operating Expenses has increased for six consecutive quarters, with growth averaging 10.9% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q3 2021 (growth of 88.0%), and the weakest in Q4 2022 (a decline of 21.2%).
- Business Quant data shows LZ's Operating Expenses at $129.49 million (Q1 2026), $115.92 million (Q4 2025) and $121.39 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 449.46 Bn | 418.52 Bn | 1.64 Bn | 726.59 Mn |
| 2 | Oracle | 415.29 Bn | 287.84 Bn | - | 12.62 Bn |
| 3 | Sap Se | 256.30 Bn | 177.39 Bn | 8.40 Bn | -8.41 Bn |
| 4 | Salesforce | 188.94 Bn | 144.82 Bn | 8.70 Bn | 6.37 Bn |
| 5 | ServiceNow | 138.57 Bn | 117.03 Bn | 2.82 Bn | 2.66 Bn |
| 6 | Automatic Data Processing | 102.66 Bn | 84.78 Bn | 2.51 Bn | 4.34 Bn |
| 7 | Intuit | 74.00 Bn | 53.35 Bn | 3.44 Bn | 3.88 Bn |
| 8 | Relx | 60.34 Bn | 57.31 Bn | - | - |
| 9 | Strategy | 53.88 Bn | 46.87 Bn | 81.55 Mn | 8.41 Bn |
| 10 | Legalzoom.Com | 939.40 Mn | 148.77 Mn | 139.93 Mn | 129.28 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 129.28 Mn |
| Mar 31, 2026 | 129.49 Mn |
| Dec 31, 2025 | 115.92 Mn |
| Sep 30, 2025 | 121.39 Mn |
| Jun 30, 2025 | 128.21 Mn |
| Mar 31, 2025 | 107.58 Mn |
| Dec 31, 2024 | 95.21 Mn |
| Sep 30, 2024 | 97.62 Mn |
| Jun 30, 2024 | 112.61 Mn |
| Mar 31, 2024 | 100.78 Mn |
| Dec 31, 2023 | 95.90 Mn |
| Sep 30, 2023 | 97.81 Mn |
| Jun 30, 2023 | 100.36 Mn |
| Mar 31, 2023 | 106.34 Mn |
| Dec 31, 2022 | 94.25 Mn |
| Sep 30, 2022 | 115.17 Mn |
| Jun 30, 2022 | 116.89 Mn |
| Mar 31, 2022 | 124.32 Mn |
| Dec 31, 2021 | 119.56 Mn |
| Sep 30, 2021 | 128.12 Mn |
API Access
Legalzoom.Com Operating Expenses 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=operating-expenses&ticker=LZ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=LZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();