Zillow (ZG) Tax Provisions (2015 - 2026)
Zillow (ZG) posted Tax Provisions of $1 million for Q2 2026, down 50.0% from the prior quarter.
Zillow (ZG) Tax Provisions (2015 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Tax Provisions at Zillow was $5 million, up 400.0% year-over-year; for FY2025, it came in at $2 million, down 60.0% from FY2024.
- In prior years, Zillow's Tax Provisions was $5 million in FY2024 (+25.0%), $4 million in FY2023 (+33.3%), $3 million in FY2022 and -$1 million in FY2021.
- Quarterly Tax Provisions has run from a low of -$9 million in Q2 2022 to a high of $5 million in Q1 2022 over five years.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 46.20 Bn | 18.45 Bn | 695.95 Mn | 76.10 Mn |
| 3 | Samsara | 22.32 Bn | 19.09 Bn | 392.58 Mn | 1.30 Mn |
| 4 | Toast | 16.73 Bn | 9.40 Bn | 516.00 Mn | 8.00 Mn |
| 5 | Ptc | 15.53 Bn | 14.35 Bn | 490.47 Mn | 33.66 Mn |
| 6 | Duolingo | 13.32 Bn | 8.49 Bn | 216.74 Mn | 12.21 Mn |
| 7 | Trimble | 13.32 Bn | 12.38 Bn | 674.90 Mn | 26.90 Mn |
| 8 | Manhattan Associates | 11.58 Bn | 10.58 Bn | 168.33 Mn | 16.86 Mn |
| 9 | Costar | 11.10 Bn | 5.07 Bn | 728.00 Mn | 19.00 Mn |
| 10 | Zillow | 6.23 Bn | 2.08 Bn | 562.00 Mn | 1.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.00 Mn |
| Mar 31, 2026 | 2.00 Mn |
| Sep 30, 2025 | 2.00 Mn |
| Dec 31, 2024 | 1.00 Mn |
| Jun 30, 2024 | 2.00 Mn |
| Mar 31, 2024 | 2.00 Mn |
| Dec 31, 2023 | 3.00 Mn |
| Jun 30, 2023 | 1.00 Mn |
| Dec 31, 2022 | 4.00 Mn |
| Sep 30, 2022 | 3.00 Mn |
| Jun 30, 2022 | -9.00 Mn |
| Mar 31, 2022 | 5.00 Mn |
| Dec 31, 2021 | -1.00 Mn |
| Sep 30, 2021 | -5.00 Mn |
| Jun 30, 2021 | 13.00 Mn |
| Mar 31, 2021 | -3.00 Mn |
| Dec 31, 2020 | 124,000.00 |
| Sep 30, 2020 | 425,000.00 |
| Jun 30, 2020 | 700,000.00 |
| Mar 31, 2020 | -9.23 Mn |
Zillow Tax Provisions 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=tax-provisions&ticker=ZG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=ZG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();