Zillow (ZG) Shares Outstanding (Diluted) (2015 - 2026)
Zillow (ZG) reported Weighted Average Shares Outstanding (Diluted) of 225.31 million for Q3 2026, down 12.1% from 256.24 million a year earlier and down 1.1% from the prior quarter.
Zillow (ZG) Shares Outstanding (Diluted) (2015 - 2026) Analysis & Trends
For FY2025, Zillow posted Weighted Average Shares Outstanding (Diluted) of 254.12 million, up 8.6% from FY2024.
- Weighted Average Shares Outstanding (Diluted) has a five-year compound annual growth rate of 2.6% (FY2020 to FY2025).
- By year, Weighted Average Shares Outstanding (Diluted) came in at 234.08 million in FY2024 (+0.2%), 233.58 million in FY2023 (-3.5%), 242.16 million in FY2022 (-3.1%) and 249.94 million in FY2021 (+11.7%).
- The Q3 2026 figure ranks as the lowest quarterly Weighted Average Shares Outstanding (Diluted) since Q4 2020.
- Year over year, Weighted Average Shares Outstanding (Diluted) has now declined in each of the last three quarters, with growth averaging 1.0% over the last eight quarters.
- The high point for year-over-year Weighted Average Shares Outstanding (Diluted) in five years was Q4 2021 (growth of 11.7%); the low point was Q3 2026 (a decline of 12.1%).
- Per Business Quant data, the three quarters before Q3 2026 came in at 227.9 million (Q2 2026), 239.64 million (Q1 2026) and 254.12 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 49.39 Bn | 21.63 Bn | 695.95 Mn | 165.06 Mn |
| 3 | Samsara | 23.96 Bn | 20.73 Bn | 392.58 Mn | 590.46 Mn |
| 4 | Ptc | 22.37 Bn | 21.18 Bn | 490.47 Mn | 114.98 Mn |
| 5 | Toast | 20.05 Bn | 12.69 Bn | 543.00 Mn | 592.00 Mn |
| 6 | Manhattan Associates | 14.85 Bn | 13.91 Bn | 174.30 Mn | 59.00 Mn |
| 7 | Bentley Systems | 13.89 Bn | 13.37 Bn | 349.55 Mn | 317.69 Mn |
| 8 | Trimble | 12.57 Bn | 11.65 Bn | 659.10 Mn | 233.20 Mn |
| 9 | Costar | 12.28 Bn | 7.66 Bn | 741.00 Mn | 401.90 Mn |
| 10 | Zillow | 6.85 Bn | 3.38 Bn | 516.00 Mn | 225.31 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 225.31 Mn |
| Jun 30, 2026 | 227.90 Mn |
| Mar 31, 2026 | 239.64 Mn |
| Dec 31, 2025 | 254.12 Mn |
| Sep 30, 2025 | 256.24 Mn |
| Jun 30, 2025 | 251.67 Mn |
| Mar 31, 2025 | 256.19 Mn |
| Dec 31, 2024 | 234.08 Mn |
| Sep 30, 2024 | 232.52 Mn |
| Jun 30, 2024 | 233.45 Mn |
| Mar 31, 2024 | 234.70 Mn |
| Dec 31, 2023 | 233.58 Mn |
| Sep 30, 2023 | 233.30 Mn |
| Jun 30, 2023 | 233.63 Mn |
| Mar 31, 2023 | 234.43 Mn |
| Dec 31, 2022 | 242.16 Mn |
| Sep 30, 2022 | 240.08 Mn |
| Jun 30, 2022 | 245.16 Mn |
| Mar 31, 2022 | 251.96 Mn |
| Dec 31, 2021 | 249.94 Mn |
Zillow Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=ZG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=ZG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();