Zillow (ZG) Research & Development (2014 - 2026)
Zillow's Research & Development was $156 million in Q2 2026, up 2.0% from $153 million a year earlier and up 4.0% from the prior quarter.
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Analysis
Zillow (ZG) Research & Development (2014 - 2026) Analysis & Trends
On a trailing twelve-month basis, Zillow's Research & Development was $611 million through Jun 30, 2026, up 2.5% year-over-year; for FY2025, it came in at $607 million, up 3.8% from FY2024.
- Research & Development has now increased for five consecutive years, with a five-year compound annual growth rate of 13.4% (FY2020 to FY2025).
- In earlier years, Research & Development was $585 million in FY2024 (+4.5%), $560 million in FY2023 (+12.4%), $498 million in FY2022 (+18.3%) and $421 million in FY2021 (+29.9%).
- The Q2 2026 figure marks the highest quarterly Research & Development in data going back to Q1 2014.
- Compared with a year earlier, Research & Development has increased for 11 straight quarters, with growth averaging 3.2% over the last eight quarters.
- The best year-over-year quarter for Research & Development over five years was Q4 2021 (growth of 226.5%); the worst was Q1 2022 (a decline of 10.0%).
- Per Business Quant data, ZG's Research & Development in the three quarters before Q2 2026 was $150 million (Q1 2026), $154 million (Q4 2025) and $151 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 51.67 Bn | 23.91 Bn | 695.95 Mn | 222.92 Mn |
| 3 | Samsara | 26.10 Bn | 22.87 Bn | 392.58 Mn | 102.56 Mn |
| 4 | Ptc | 22.27 Bn | 21.09 Bn | 490.47 Mn | 115.71 Mn |
| 5 | Toast | 18.55 Bn | 11.22 Bn | 516.00 Mn | 109.00 Mn |
| 6 | Trimble | 14.77 Bn | 13.84 Bn | 674.90 Mn | 177.10 Mn |
| 7 | Manhattan Associates | 13.89 Bn | 12.89 Bn | 168.33 Mn | 34.77 Mn |
| 8 | Costar | 13.61 Bn | 7.56 Bn | 728.00 Mn | 107.00 Mn |
| 9 | Bentley Systems | 12.42 Bn | 11.88 Bn | 336.74 Mn | 82.09 Mn |
| 10 | Zillow | 7.69 Bn | 3.54 Bn | 562.00 Mn | 156.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 156.00 Mn |
| Mar 31, 2026 | 150.00 Mn |
| Dec 31, 2025 | 154.00 Mn |
| Sep 30, 2025 | 151.00 Mn |
| Jun 30, 2025 | 153.00 Mn |
| Mar 31, 2025 | 149.00 Mn |
| Dec 31, 2024 | 149.00 Mn |
| Sep 30, 2024 | 145.00 Mn |
| Jun 30, 2024 | 144.00 Mn |
| Mar 31, 2024 | 147.00 Mn |
| Dec 31, 2023 | 141.00 Mn |
| Sep 30, 2023 | 142.00 Mn |
| Jun 30, 2023 | 140.00 Mn |
| Mar 31, 2023 | 137.00 Mn |
| Dec 31, 2022 | 129.00 Mn |
| Sep 30, 2022 | 142.00 Mn |
| Jun 30, 2022 | 119.00 Mn |
| Mar 31, 2022 | 108.00 Mn |
| Dec 31, 2021 | 102.00 Mn |
| Sep 30, 2021 | 101.00 Mn |
API Access
Zillow Research & Development 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=research-and-development&ticker=ZG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=ZG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();