Zillow (Z) Other Operating Expenses (2014 - 2026)
Zillow (Z) recorded Other Operating Expenses of $249 million in Q2 2026, up 10.2% from $226 million a year earlier and up 18.6% from the prior quarter.
Zillow (Z) Other Operating Expenses (2014 - 2026) Analysis & Trends
On a TTM basis, Zillow's Other Operating Expenses came in at $878 million as of Jun 30, 2026, up 4.0% year-over-year; for FY2025, it was $843 million, up 6.6% from FY2024.
- Annual Other Operating Expenses has a five-year compound annual growth rate of 6.6% (FY2020 to FY2025).
- Across earlier years, Other Operating Expenses came in at $791 million in FY2024 (+19.5%), $662 million in FY2023 (-0.3%), $664 million in FY2022 (-8.5%) and $726 million in FY2021 (+18.6%).
- The Q2 2026 figure is the highest quarterly Other Operating Expenses since Q1 2020.
- On a year-over-year basis, Other Operating Expenses rose in six of the last eight quarters, with growth averaging 11.8%.
- Peak year-over-year performance for Other Operating Expenses in the last five years was growth of 31.5% in Q3 2024, against a decline of 28.8% in Q2 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $210 million (Q1 2026), $203 million (Q4 2025) and $216 million (Q3 2025).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 249.00 Mn |
| Mar 31, 2026 | 210.00 Mn |
| Dec 31, 2025 | 203.00 Mn |
| Sep 30, 2025 | 216.00 Mn |
| Jun 30, 2025 | 226.00 Mn |
| Mar 31, 2025 | 198.00 Mn |
| Dec 31, 2024 | 203.00 Mn |
| Sep 30, 2024 | 217.00 Mn |
| Jun 30, 2024 | 205.00 Mn |
| Mar 31, 2024 | 172.00 Mn |
| Dec 31, 2023 | 167.00 Mn |
| Sep 30, 2023 | 165.00 Mn |
| Jun 30, 2023 | 174.00 Mn |
| Mar 31, 2023 | 162.00 Mn |
| Dec 31, 2022 | 148.00 Mn |
| Sep 30, 2022 | 165.00 Mn |
| Jun 30, 2022 | 163.00 Mn |
| Mar 31, 2022 | 188.00 Mn |
| Dec 31, 2021 | 194.00 Mn |
| Sep 30, 2021 | 205.00 Mn |
Zillow Other Operating 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=other-operating-expenses&ticker=Z&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "ticker": "Z", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=other-operating-expenses&ticker=Z&period=max&api_key=YOUR_API_KEY");
const data = await res.json();