Zillow (ZG) Restructuring Costs (2014 - 2026)
Zillow's Restructuring Costs was $36 million in Q2 2026.
Analysis
Zillow (ZG) Restructuring Costs (2014 - 2026) Analysis & Trends
On a trailing twelve-month basis, Zillow's Restructuring Costs was $38 million through Jun 30, 2026; for FY2025, it was $2 million, down 66.7% from FY2024.
- Restructuring Costs has now declined for three consecutive years, with a four-year compound annual growth rate of -31.3% (FY2021 to FY2025).
- In earlier years, Restructuring Costs was $6 million in FY2024 (-68.4%), $19 million in FY2023 (-20.8%), $24 million in FY2022 (+166.7%) and $9 million in FY2021.
- The Q2 2026 figure marks the highest quarterly Restructuring Costs in data going back to Q2 2014.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn |
| 10 | Zillow | 6.33 Bn | 2.18 Bn | 562.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 36.00 Mn |
| Dec 31, 2025 | 2.00 Mn |
| Dec 31, 2024 | -1.00 Mn |
| Sep 30, 2024 | 1.00 Mn |
| Dec 31, 2023 | 10.00 Mn |
| Sep 30, 2023 | 1.00 Mn |
| Jun 30, 2023 | 2.00 Mn |
| Dec 31, 2022 | 24.00 Mn |
| Dec 31, 2021 | 1.00 Mn |
| Sep 30, 2021 | 3.00 Mn |
| Jun 30, 2021 | 4.00 Mn |
| Mar 31, 2021 | 1.00 Mn |
| Sep 30, 2019 | 5,000.00 |
| Jun 30, 2019 | 293,000.00 |
| Mar 31, 2019 | 352,000.00 |
| Dec 31, 2018 | 268,000.00 |
| Sep 30, 2018 | 1.41 Mn |
| Jun 30, 2018 | 632,000.00 |
| Mar 31, 2018 | 27,000.00 |
| Dec 31, 2017 | 97,000.00 |
API Access
Zillow Restructuring Costs 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=restructuring-costs&ticker=ZG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=ZG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();