Zillow (Z) Revenue (2014 - 2026)
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Analysis
Zillow (Z) Revenue (2014 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 724.00 Mn |
| Jun 30, 2026 | 772.00 Mn |
| Mar 31, 2026 | 708.00 Mn |
| Dec 31, 2025 | 654.00 Mn |
| Sep 30, 2025 | 676.00 Mn |
| Jun 30, 2025 | 655.00 Mn |
| Mar 31, 2025 | 598.00 Mn |
| Dec 31, 2024 | 554.00 Mn |
| Sep 30, 2024 | 581.00 Mn |
| Jun 30, 2024 | 572.00 Mn |
| Mar 31, 2024 | 529.00 Mn |
| Dec 31, 2023 | 474.00 Mn |
| Sep 30, 2023 | 496.00 Mn |
| Jun 30, 2023 | 506.00 Mn |
| Mar 31, 2023 | 469.00 Mn |
| Dec 31, 2022 | 435.00 Mn |
| Sep 30, 2022 | 483.00 Mn |
| Jun 30, 2022 | 504.00 Mn |
| Mar 31, 2022 | 536.00 Mn |
| Dec 31, 2021 | 535.00 Mn |
API Access
Zillow Revenue 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=revenue&ticker=Z&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=Z&period=max&api_key=YOUR_API_KEY");
const data = await res.json();