Legalzoom.Com (LZ) Accumulated Expenses (2020 - 2026)
Legalzoom.Com's Accumulated Expenses came in at $56.98 million for Q3 2026, down 25.9% from $76.88 million a year earlier but up 1.6% from the prior quarter.
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Analysis
Legalzoom.Com (LZ) Accumulated Expenses (2020 - 2026) Analysis & Trends
At the end of FY2025, Legalzoom.Com's Accumulated Expenses was $83.36 million, up 43.9% from FY2024.
- Accumulated Expenses carries a five-year compound annual growth rate of 15.2% (FY2020 to FY2025).
- Going back by year, Accumulated Expenses was $57.93 million in FY2024 (-6.1%), $61.68 million in FY2023 (+7.5%), $57.37 million in FY2022 (+12.9%) and $50.82 million in FY2021 (+23.9%).
- The five-year range for quarterly Accumulated Expenses is $50.82 million (Q4 2021) to $83.36 million (Q4 2025).
- Year-over-year, Accumulated Expenses has declined for three consecutive quarters, with growth averaging 8.4% over the last eight quarters.
- The fastest year-over-year change in Accumulated Expenses over five years came in Q4 2025 (growth of 43.9%), and the weakest in Q3 2026 (a decline of 25.9%).
- Business Quant data shows LZ's Accumulated Expenses at $56.06 million (Q2 2026), $57.37 million (Q1 2026) and $83.36 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 385.77 Bn | 350.59 Bn | 1.93 Bn |
| 2 | Oracle | 332.76 Bn | 204.89 Bn | - |
| 3 | Sap Se | 271.29 Bn | 198.69 Bn | 8.64 Bn |
| 4 | Salesforce | 175.89 Bn | 131.77 Bn | 8.70 Bn |
| 5 | Automatic Data Processing | 122.53 Bn | 109.32 Bn | 2.53 Bn |
| 6 | ServiceNow | 105.66 Bn | 84.92 Bn | 2.90 Bn |
| 7 | Intuit | 94.37 Bn | 73.72 Bn | 3.44 Bn |
| 8 | Relx | 73.86 Bn | 72.96 Bn | - |
| 9 | Thomson Reuters | 51.10 Bn | 47.07 Bn | - |
| 10 | Legalzoom.Com | 895.28 Mn | 160.09 Mn | 138.06 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 56.98 Mn |
| Jun 30, 2026 | 56.06 Mn |
| Mar 31, 2026 | 57.37 Mn |
| Dec 31, 2025 | 83.36 Mn |
| Sep 30, 2025 | 76.88 Mn |
| Jun 30, 2025 | 73.87 Mn |
| Mar 31, 2025 | 72.45 Mn |
| Dec 31, 2024 | 57.93 Mn |
| Sep 30, 2024 | 57.03 Mn |
| Jun 30, 2024 | 58.02 Mn |
| Mar 31, 2024 | 52.57 Mn |
| Dec 31, 2023 | 61.68 Mn |
| Sep 30, 2023 | 55.38 Mn |
| Jun 30, 2023 | 52.35 Mn |
| Mar 31, 2023 | 51.68 Mn |
| Dec 31, 2022 | 57.37 Mn |
| Sep 30, 2022 | 59.90 Mn |
| Jun 30, 2022 | 54.59 Mn |
| Mar 31, 2022 | 56.61 Mn |
| Dec 31, 2021 | 50.82 Mn |
API Access
Legalzoom.Com Accumulated 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=accumulated-expenses&ticker=LZ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=LZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();