Zillow (ZG) Selling, General & Administrative (2014 - 2026)
Zillow's Selling, General & Administrative came in at $131 million for Q2 2026, up 8.3% from $121 million a year earlier and up 6.5% from the prior quarter.
Zillow (ZG) Selling, General & Administrative (2014 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Zillow reported Selling, General & Administrative of $509 million, up 1.2% year-over-year; for FY2025, it came in at $497 million, down 5.2% from FY2024.
- Selling, General & Administrative carries a five-year compound annual growth rate of 8.9% (FY2020 to FY2025).
- Going back by year, Selling, General & Administrative was $524 million in FY2024 (-5.2%), $553 million in FY2023 (+11.0%), $498 million in FY2022 (+20.3%) and $414 million in FY2021 (+27.8%).
- The Q2 2026 figure represents the highest quarterly Selling, General & Administrative since Q4 2024.
- Year-over-year, Selling, General & Administrative increased in three of the last eight quarters, with an average decline of 2.7%.
- The fastest year-over-year change in Selling, General & Administrative over five years came in Q4 2021 (growth of 83.1%), and the weakest in Q2 2024 (a decline of 14.4%).
- Business Quant data shows ZG's Selling, General & Administrative at $123 million (Q1 2026), $128 million (Q4 2025) and $127 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 178,646.00 |
| 2 | Veeva Systems | 44.24 Bn | 16.49 Bn | 695.95 Mn | 71.31 Mn |
| 3 | Samsara | 24.06 Bn | 20.83 Bn | 392.58 Mn | 67.38 Mn |
| 4 | Toast | 17.18 Bn | 9.85 Bn | 516.00 Mn | 89.00 Mn |
| 5 | Ptc | 15.95 Bn | 14.76 Bn | 490.47 Mn | 59.97 Mn |
| 6 | Duolingo | 13.49 Bn | 8.67 Bn | 216.74 Mn | 50.59 Mn |
| 7 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 149.70 Mn |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn | 26.74 Mn |
| 9 | Costar | 11.09 Bn | 5.06 Bn | 728.00 Mn | 114.00 Mn |
| 10 | Zillow | 6.32 Bn | 2.17 Bn | 562.00 Mn | 131.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 131.00 Mn |
| Mar 31, 2026 | 123.00 Mn |
| Dec 31, 2025 | 128.00 Mn |
| Sep 30, 2025 | 127.00 Mn |
| Jun 30, 2025 | 121.00 Mn |
| Mar 31, 2025 | 121.00 Mn |
| Dec 31, 2024 | 138.00 Mn |
| Sep 30, 2024 | 123.00 Mn |
| Jun 30, 2024 | 131.00 Mn |
| Mar 31, 2024 | 132.00 Mn |
| Dec 31, 2023 | 146.00 Mn |
| Sep 30, 2023 | 131.00 Mn |
| Jun 30, 2023 | 153.00 Mn |
| Mar 31, 2023 | 123.00 Mn |
| Dec 31, 2022 | 128.00 Mn |
| Sep 30, 2022 | 138.00 Mn |
| Jun 30, 2022 | 120.00 Mn |
| Mar 31, 2022 | 112.00 Mn |
| Dec 31, 2021 | 111.00 Mn |
| Sep 30, 2021 | 104.00 Mn |
Zillow Selling, General & Administrative 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=selling-general-and-administrative&ticker=ZG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=ZG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();