Legalzoom.Com (LZ) Total Liabilities (2020 - 2026)
Legalzoom.Com (LZ) posted Total Liabilities of $339.2 million for Q2 2026, down 2.8% from $348.98 million a year earlier and down 1.7% from the prior quarter.
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Analysis
Legalzoom.Com (LZ) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Legalzoom.Com's Total Liabilities came in at $339.64 million, up 21.0% from FY2024.
- Annual Total Liabilities has increased for four consecutive years, though with a five-year compound annual growth rate of -15.8% (FY2020 to FY2025).
- In prior years, Legalzoom.Com's Total Liabilities was $280.63 million in FY2024 (+0.6%), $278.98 million in FY2023 (+6.1%), $263.02 million in FY2022 (+12.7%) and $233.46 million in FY2021 (-70.9%).
- The Q2 2026 figure stands as the lowest quarterly Total Liabilities since Q4 2024.
- On a year-over-year basis, Total Liabilities increased in six of the last eight quarters, with growth averaging 9.8%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q4 2025, with growth of 21.0%; the weakest was Q4 2021, with a decline of 70.9%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $344.95 million (Q1 2026), $339.64 million (Q4 2025) and $349.18 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 478.84 Bn | 447.79 Bn | 1.64 Bn | 1.79 Bn |
| 2 | Oracle | 390.34 Bn | 262.47 Bn | - | 236.06 Bn |
| 3 | Sap Se | 276.74 Bn | 204.14 Bn | 8.64 Bn | 33.88 Bn |
| 4 | Salesforce | 198.41 Bn | 154.28 Bn | 8.70 Bn | 71.24 Bn |
| 5 | ServiceNow | 160.39 Bn | 138.85 Bn | 2.82 Bn | 19.15 Bn |
| 6 | Automatic Data Processing | 117.62 Bn | 99.75 Bn | 2.51 Bn | 57.16 Bn |
| 7 | Intuit | 89.95 Bn | 69.30 Bn | 3.44 Bn | 17.79 Bn |
| 8 | Relx | 71.74 Bn | 70.84 Bn | - | 18.26 Bn |
| 9 | Thomson Reuters | 52.25 Bn | 49.03 Bn | - | 6.95 Bn |
| 10 | Legalzoom.Com | 1.15 Bn | 355.59 Mn | 139.93 Mn | 339.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 339.20 Mn |
| Mar 31, 2026 | 344.95 Mn |
| Dec 31, 2025 | 339.64 Mn |
| Sep 30, 2025 | 349.18 Mn |
| Jun 30, 2025 | 348.98 Mn |
| Mar 31, 2025 | 345.45 Mn |
| Dec 31, 2024 | 280.63 Mn |
| Sep 30, 2024 | 288.70 Mn |
| Jun 30, 2024 | 298.75 Mn |
| Mar 31, 2024 | 291.84 Mn |
| Dec 31, 2023 | 278.98 Mn |
| Sep 30, 2023 | 279.17 Mn |
| Jun 30, 2023 | 280.29 Mn |
| Mar 31, 2023 | 274.34 Mn |
| Dec 31, 2022 | 263.02 Mn |
| Sep 30, 2022 | 269.23 Mn |
| Jun 30, 2022 | 246.49 Mn |
| Mar 31, 2022 | 260.60 Mn |
| Dec 31, 2021 | 233.46 Mn |
| Sep 30, 2021 | 243.43 Mn |
API Access
Legalzoom.Com Total Liabilities 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=total-liabilities&ticker=LZ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=LZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();