Zillow (Z) Change in Accrued Expenses (2014 - 2026)
Zillow (Z) posted Change in Accrued Expenses of $197 million for Q3 2026, compared with $14 million a year earlier and up 657.7% from the prior quarter.
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Analysis
Zillow (Z) Change in Accrued Expenses (2014 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Change in Accrued Expenses at Zillow was $245 million, up 620.6% year-over-year; for FY2025, it was $31 million, up 210.0% from FY2024.
- Annual Change in Accrued Expenses shows a five-year compound annual growth rate of 15.6% (FY2020 to FY2025).
- In prior years, Zillow's Change in Accrued Expenses was $10 million in FY2024, -$18 million in FY2023, -$71 million in FY2022 and $61 million in FY2021 (+306.7%).
- The Q3 2026 figure stands as the highest quarterly Change in Accrued Expenses in data going back to Q1 2014.
- According to Business Quant data, Change in Accrued Expenses for the three prior quarters was $26 million (Q2 2026), $23 million (Q1 2026) and -$1 million (Q4 2025).
Peer Set
Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 197.00 Mn |
| Jun 30, 2026 | 26.00 Mn |
| Mar 31, 2026 | 23.00 Mn |
| Dec 31, 2025 | -1.00 Mn |
| Sep 30, 2025 | 14.00 Mn |
| Jun 30, 2025 | 9.00 Mn |
| Mar 31, 2025 | 9.00 Mn |
| Dec 31, 2024 | 2.00 Mn |
| Sep 30, 2024 | 2.00 Mn |
| Jun 30, 2024 | 6.00 Mn |
| Dec 31, 2023 | -22.00 Mn |
| Sep 30, 2023 | -23.00 Mn |
| Jun 30, 2023 | 17.00 Mn |
| Mar 31, 2023 | 10.00 Mn |
| Dec 31, 2022 | -19.00 Mn |
| Sep 30, 2022 | 17.00 Mn |
| Jun 30, 2022 | -26.00 Mn |
| Mar 31, 2022 | -43.00 Mn |
| Dec 31, 2021 | -102.00 Mn |
| Sep 30, 2021 | 82.00 Mn |
API Access
Zillow Change in Accrued 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=change-in-accured-expenses&ticker=Z&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=Z&period=max&api_key=YOUR_API_KEY");
const data = await res.json();