Zillow (ZG) EPS (Diluted) (2015 - 2026)
Zillow (ZG) recorded EPS (Diluted) of -$0.02 in Q2 2026, compared with $0.01 a year earlier.
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Analysis
Zillow (ZG) EPS (Diluted) (2015 - 2026) Analysis & Trends
On a TTM basis, Zillow's EPS (Diluted) came in at $0.24 as of Jun 30, 2026; for FY2025, it was $0.09.
- Across earlier years, EPS (Diluted) came in at -$0.48 in FY2024, -$0.68 in FY2023, -$0.42 in FY2022 and -$2.11 in FY2021.
- The Q2 2026 figure is the lowest quarterly EPS (Diluted) since Q4 2024.
- Per Business Quant, the preceding three quarters came in at $0.19 (Q1 2026), $0.01 (Q4 2025) and $0.04 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 1.66 |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 0.03 |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 0.26 |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 1.03 |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | -2.02 |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 0.66 |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 0.85 |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 0.14 |
| 10 | Zillow | 6.33 Bn | 2.18 Bn | 562.00 Mn | -0.02 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -0.02 |
| Mar 31, 2026 | 0.19 |
| Dec 31, 2025 | 0.01 |
| Sep 30, 2025 | 0.04 |
| Jun 30, 2025 | 0.01 |
| Mar 31, 2025 | 0.03 |
| Dec 31, 2024 | -0.22 |
| Sep 30, 2024 | -0.09 |
| Jun 30, 2024 | -0.07 |
| Mar 31, 2024 | -0.10 |
| Dec 31, 2023 | -0.31 |
| Sep 30, 2023 | -0.12 |
| Jun 30, 2023 | -0.15 |
| Mar 31, 2023 | -0.09 |
| Dec 31, 2022 | -0.30 |
| Sep 30, 2022 | -0.22 |
| Jun 30, 2022 | 0.03 |
| Mar 31, 2022 | 0.06 |
| Dec 31, 2021 | -1.04 |
| Sep 30, 2021 | -1.29 |
API Access
Zillow EPS (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=eps-diluted&ticker=ZG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-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=eps-diluted&ticker=ZG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();