Zillow (ZG) Non Operating Interest Expenses (2015 - 2026)
Zillow's Non Operating Interest Expenses was $6 million in Q3 2026, up 100.0% from $3 million a year earlier and unchanged from the prior quarter.
Zillow (ZG) Non Operating Interest Expenses (2015 - 2026) Analysis & Trends
On a trailing twelve-month basis, Zillow's Non Operating Interest Expenses was $21 million through Sep 30, 2026, unchanged year-over-year; for FY2025, it was $18 million, down 50.0% from FY2024.
- Non Operating Interest Expenses shows a five-year compound annual growth rate of -33.5% (FY2020 to FY2025).
- In earlier years, Non Operating Interest Expenses was $36 million in FY2024 (unchanged), $36 million in FY2023 (+2.9%), $35 million in FY2022 (-72.7%) and $128 million in FY2021 (-7.2%).
- Quarterly Non Operating Interest Expenses has moved between $3 million (Q3 2025) and $29 million (Q4 2021) over five years.
- Compared with a year earlier, Non Operating Interest Expenses was higher in two of the last eight quarters, with an average decline of 13.7%.
- The best year-over-year quarter for Non Operating Interest Expenses over five years was Q3 2026 (growth of 100.0%); the worst was Q1 2022 (a decline of 80.0%).
- Per Business Quant data, ZG's Non Operating Interest Expenses in the three quarters before Q3 2026 was $6 million (Q2 2026), $4 million (Q1 2026) and $5 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 49.39 Bn | 21.63 Bn | 695.95 Mn | - |
| 3 | Samsara | 23.96 Bn | 20.73 Bn | 392.58 Mn | - |
| 4 | Ptc | 22.37 Bn | 21.18 Bn | 490.47 Mn | 15.80 Mn |
| 5 | Toast | 20.05 Bn | 12.69 Bn | 543.00 Mn | - |
| 6 | Manhattan Associates | 14.85 Bn | 13.91 Bn | 174.30 Mn | - |
| 7 | Bentley Systems | 13.89 Bn | 13.37 Bn | 349.55 Mn | - |
| 8 | Trimble | 12.57 Bn | 11.65 Bn | 659.10 Mn | 20.40 Mn |
| 9 | Costar | 12.28 Bn | 7.66 Bn | 741.00 Mn | - |
| 10 | Zillow | 6.85 Bn | 3.38 Bn | 516.00 Mn | 6.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 6.00 Mn |
| Jun 30, 2026 | 6.00 Mn |
| Mar 31, 2026 | 4.00 Mn |
| Dec 31, 2025 | 5.00 Mn |
| Sep 30, 2025 | 3.00 Mn |
| Jun 30, 2025 | 5.00 Mn |
| Mar 31, 2025 | 5.00 Mn |
| Dec 31, 2024 | 8.00 Mn |
| Sep 30, 2024 | 9.00 Mn |
| Jun 30, 2024 | 10.00 Mn |
| Mar 31, 2024 | 9.00 Mn |
| Dec 31, 2023 | 9.00 Mn |
| Sep 30, 2023 | 9.00 Mn |
| Jun 30, 2023 | 9.00 Mn |
| Mar 31, 2023 | 9.00 Mn |
| Dec 31, 2022 | 9.00 Mn |
| Sep 30, 2022 | 9.00 Mn |
| Jun 30, 2022 | 9.00 Mn |
| Mar 31, 2022 | 8.00 Mn |
| Dec 31, 2021 | 29.00 Mn |
Zillow 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=ZG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "ZG", "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=ZG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();