Zillow (ZG) Asset Writedowns and Impairment (2014 - 2025)
Zillow's Asset Writedowns and Impairment was $2 million in Q3 2025.
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Analysis
Zillow (ZG) Asset Writedowns and Impairment (2014 - 2025) Analysis & Trends
For FY2022, Asset Writedowns and Impairment at Zillow came in at $9 million, down 97.8% from FY2021.
- Asset Writedowns and Impairment shows a five-year compound annual growth rate of -44.7% (FY2017 to FY2022).
- In earlier years, Asset Writedowns and Impairment was $408 million in FY2021 and $79 million in FY2018 (-54.6%).
- The Q3 2025 figure marks the highest quarterly Asset Writedowns and Impairment since Q1 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - |
| 2 | Veeva Systems | 44.24 Bn | 16.49 Bn | 695.95 Mn |
| 3 | Samsara | 24.06 Bn | 20.83 Bn | 392.58 Mn |
| 4 | Toast | 17.18 Bn | 9.85 Bn | 516.00 Mn |
| 5 | Ptc | 15.95 Bn | 14.76 Bn | 490.47 Mn |
| 6 | Duolingo | 13.49 Bn | 8.67 Bn | 216.74 Mn |
| 7 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn |
| 9 | Costar | 11.09 Bn | 5.06 Bn | 728.00 Mn |
| 10 | Zillow | 6.32 Bn | 2.17 Bn | 562.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 2.00 Mn |
| Mar 31, 2024 | 6.00 Mn |
| Dec 31, 2023 | -6.00 Mn |
| Mar 31, 2023 | 6.00 Mn |
| Jun 30, 2022 | 4.00 Mn |
| Mar 31, 2022 | 5.00 Mn |
| Dec 31, 2021 | 104.00 Mn |
| Sep 30, 2021 | 304.00 Mn |
| Sep 30, 2020 | -6.94 Mn |
| Jun 30, 2020 | 2.80 Mn |
| Mar 31, 2020 | 4.14 Mn |
| Dec 31, 2019 | -28.95 Mn |
| Jun 30, 2019 | 3.60 Mn |
| Mar 31, 2019 | 6.27 Mn |
| Dec 31, 2018 | 60.31 Mn |
| Sep 30, 2018 | 10.00 Mn |
| Jun 30, 2018 | 5.91 Mn |
| Mar 31, 2018 | 7.38 Mn |
| Dec 31, 2017 | 161.32 Mn |
| Jun 30, 2017 | 4.11 Mn |
API Access
Zillow Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=ZG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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=asset-writedowns-and-impairment&ticker=ZG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();