Legalzoom.Com (LZ) Total Non-Current Liabilities (2020 - 2026)
Legalzoom.Com (LZ) recorded Total Non-Current Liabilities of $328.48 million in Q2 2026, down 2.6% from $337.29 million a year earlier and down 1.7% from the prior quarter.
Legalzoom.Com (LZ) Total Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Legalzoom.Com reported Total Non-Current Liabilities of $328.82 million, up 20.9% from FY2024.
- Annual Total Non-Current Liabilities has increased for four straight years, though with a five-year compound annual growth rate of -16.0% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $271.98 million in FY2024 (+0.2%), $271.42 million in FY2023 (+4.8%), $259.05 million in FY2022 (+12.4%) and $230.52 million in FY2021 (-70.7%).
- The Q2 2026 figure is the lowest quarterly Total Non-Current Liabilities since Q4 2024.
- On a year-over-year basis, Total Non-Current Liabilities rose in seven of the last eight quarters, with growth averaging 9.5%.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 21.1% in Q3 2025, against a decline of 70.7% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $334.22 million (Q1 2026), $328.82 million (Q4 2025) and $338.09 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 472.91 Bn | 441.97 Bn | 1.64 Bn | 1.78 Bn |
| 2 | Oracle | 436.48 Bn | 309.04 Bn | - | 188.55 Bn |
| 3 | Sap Se | 291.23 Bn | 219.21 Bn | 8.64 Bn | 12.21 Bn |
| 4 | Salesforce | 199.40 Bn | 155.27 Bn | 8.70 Bn | 67.55 Bn |
| 5 | ServiceNow | 155.54 Bn | 134.81 Bn | 2.90 Bn | 18.14 Bn |
| 6 | Automatic Data Processing | 113.52 Bn | 113.52 Bn | - | - |
| 7 | Intuit | 88.08 Bn | 67.43 Bn | 3.44 Bn | 17.43 Bn |
| 8 | Relx | 70.47 Bn | 69.59 Bn | - | 1.33 Mn |
| 9 | Thomson Reuters | 51.66 Bn | 48.44 Bn | - | 6.95 Bn |
| 10 | Legalzoom.Com | 1.11 Bn | 316.22 Mn | 139.93 Mn | 328.48 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 328.48 Mn |
| Mar 31, 2026 | 334.22 Mn |
| Dec 31, 2025 | 328.82 Mn |
| Sep 30, 2025 | 338.09 Mn |
| Jun 30, 2025 | 337.29 Mn |
| Mar 31, 2025 | 333.99 Mn |
| Dec 31, 2024 | 271.98 Mn |
| Sep 30, 2024 | 279.22 Mn |
| Jun 30, 2024 | 289.75 Mn |
| Mar 31, 2024 | 283.23 Mn |
| Dec 31, 2023 | 271.42 Mn |
| Sep 30, 2023 | 274.73 Mn |
| Jun 30, 2023 | 276.00 Mn |
| Mar 31, 2023 | 270.20 Mn |
| Dec 31, 2022 | 259.05 Mn |
| Sep 30, 2022 | 266.30 Mn |
| Jun 30, 2022 | 243.65 Mn |
| Mar 31, 2022 | 257.76 Mn |
| Dec 31, 2021 | 230.52 Mn |
| Sep 30, 2021 | 240.17 Mn |
Legalzoom.Com Total Non-Current 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-non-current-liabilities&ticker=LZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=LZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();