Zillow Group, Inc. (ZG) Operating Expenses (2014 - 2026)
Zillow's Operating Expenses was $572 million in Q2 2026, up 14.4% from $500 million a year earlier and up 18.4% from the prior quarter.
Zillow Group, Inc. (ZG) Operating Expenses (2014 - 2026) Analysis & Trends
On a trailing twelve-month basis, Zillow's Operating Expenses was $2.04 billion through Jun 30, 2026, up 4.8% year-over-year; for FY2025, it was $1.95 billion, up 2.3% from FY2024.
- Operating Expenses has now increased for five consecutive years, with a five-year compound annual growth rate of 9.1% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $1.91 billion in FY2024 (+6.2%), $1.79 billion in FY2023 (+6.5%), $1.68 billion in FY2022 (+7.3%) and $1.57 billion in FY2021 (+24.6%).
- The Q2 2026 figure marks the highest quarterly Operating Expenses since Q1 2020.
- Compared with a year earlier, Operating Expenses was higher in seven of the last eight quarters, with growth averaging 5.4%.
- The best year-over-year quarter for Operating Expenses over five years was Q4 2021 (growth of 299.8%); the worst was Q2 2022 (a decline of 15.5%).
- Per Business Quant data, ZG's Operating Expenses in the three quarters before Q2 2026 was $483 million (Q1 2026), $487 million (Q4 2025) and $494 million (Q3 2025).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 572.00 Mn |
| Mar 31, 2026 | 483.00 Mn |
| Dec 31, 2025 | 487.00 Mn |
| Sep 30, 2025 | 494.00 Mn |
| Jun 30, 2025 | 500.00 Mn |
| Mar 31, 2025 | 468.00 Mn |
| Dec 31, 2024 | 489.00 Mn |
| Sep 30, 2024 | 486.00 Mn |
| Jun 30, 2024 | 480.00 Mn |
| Mar 31, 2024 | 451.00 Mn |
| Dec 31, 2023 | 464.00 Mn |
| Sep 30, 2023 | 439.00 Mn |
| Jun 30, 2023 | 469.00 Mn |
| Mar 31, 2023 | 422.00 Mn |
| Dec 31, 2022 | 429.00 Mn |
| Sep 30, 2022 | 445.00 Mn |
| Jun 30, 2022 | 402.00 Mn |
| Mar 31, 2022 | 408.00 Mn |
| Dec 31, 2021 | 408.00 Mn |
| Sep 30, 2021 | 413.00 Mn |
Zillow Group, Inc. 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=operating-expenses&ticker=ZG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=ZG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();