Legalzoom.Com (LZ) Non Operating Interest Expenses (2020 - 2026)
Legalzoom.Com's Non Operating Interest Expenses was $77,000 in Q3 2026, down 49.3% from $152,000 a year earlier and down 38.9% from the prior quarter.
Legalzoom.Com (LZ) Non Operating Interest Expenses (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Legalzoom.Com's Non Operating Interest Expenses was $1.67 million through Sep 30, 2026, up 139.1% year-over-year; for FY2025, it was $1.29 million, up 190.1% from FY2024.
- Non Operating Interest Expenses shows a five-year compound annual growth rate of -48.4% (FY2020 to FY2025).
- In earlier years, Non Operating Interest Expenses was $446,000 in FY2024 (-9.5%), $493,000 in FY2023 (+89.6%), $260,000 in FY2022 (-99.1%) and $28.05 million in FY2021 (-21.0%).
- The Q3 2026 figure marks the lowest quarterly Non Operating Interest Expenses since Q3 2024.
- Compared with a year earlier, Non Operating Interest Expenses was higher in five of the last eight quarters, with growth averaging 103.7%.
- The best year-over-year quarter for Non Operating Interest Expenses over five years was Q4 2025 (growth of 295.5%); the worst was Q1 2022 (a decline of 99.4%).
- Per Business Quant data, LZ's Non Operating Interest Expenses in the three quarters before Q3 2026 was $126,000 (Q2 2026), $676,000 (Q1 2026) and $795,000 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 372.99 Bn | 337.93 Bn | 1.93 Bn | - |
| 2 | Oracle | 347.94 Bn | 220.50 Bn | - | 1.43 Bn |
| 3 | Sap Se | 299.08 Bn | 227.06 Bn | 8.64 Bn | -330.17 Mn |
| 4 | Salesforce | 183.01 Bn | 138.88 Bn | 8.70 Bn | 473.00 Mn |
| 5 | Automatic Data Processing | 121.50 Bn | 108.30 Bn | 2.53 Bn | 148.10 Mn |
| 6 | ServiceNow | 106.24 Bn | 85.50 Bn | 2.90 Bn | 81.00 Mn |
| 7 | Intuit | 95.23 Bn | 74.58 Bn | 3.44 Bn | 70.00 Mn |
| 8 | Relx | 75.40 Bn | 74.52 Bn | - | - |
| 9 | Thomson Reuters | 52.55 Bn | 48.52 Bn | - | -2.00 Mn |
| 10 | Legalzoom.Com | 988.84 Mn | 253.66 Mn | 138.06 Mn | 77,000.00 |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 77,000.00 |
| Jun 30, 2026 | 126,000.00 |
| Mar 31, 2026 | 676,000.00 |
| Dec 31, 2025 | 795,000.00 |
| Sep 30, 2025 | 152,000.00 |
| Jun 30, 2025 | 165,000.00 |
| Mar 31, 2025 | 182,000.00 |
| Dec 31, 2024 | 201,000.00 |
| Sep 30, 2024 | 72,000.00 |
| Jun 30, 2024 | 112,000.00 |
| Mar 31, 2024 | 61,000.00 |
| Dec 31, 2023 | 254,000.00 |
| Sep 30, 2023 | 68,000.00 |
| Jun 30, 2023 | 87,000.00 |
| Mar 31, 2023 | 84,000.00 |
| Mar 31, 2022 | 53,000.00 |
| Dec 31, 2021 | 122,000.00 |
| Sep 30, 2021 | 9.96 Mn |
| Jun 30, 2021 | 9.31 Mn |
| Mar 31, 2021 | 8.65 Mn |
Legalzoom.Com Non Operating Interest 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=non-operating-interest-expenses&ticker=LZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=LZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();