Zillow (ZG) Return on Sales [ROS] (2014 - 2026)
Zillow (ZG) posted Return on Sales [ROS] of -1.30% for Q2 2026, up 0.38 percentage points from -1.68% a year earlier but down 6.38 percentage points from the prior quarter.
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Analysis
Zillow (ZG) Return on Sales [ROS] (2014 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Zillow was 0.43%, up 6.04 percentage points year-over-year; for FY2025, it came in at -1.32%, up 7.49 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of -8.03 percentage points (FY2020 to FY2025).
- In prior years, Zillow's Return on Sales [ROS] was -8.81% in FY2024 (+5.07 pp), -13.88% in FY2023 (-9.13 pp), -4.75% in FY2022 (-15.96 pp) and 11.21% in FY2021 (+4.50 pp).
- Quarterly Return on Sales [ROS] has run from a low of -22.15% in Q4 2023 to a high of 10.00% in Q3 2021 over five years.
- On a year-over-year basis, Return on Sales [ROS] has increased in each of the last ten quarters, with an average year-over-year change of +6.21 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q4 2025, with a gain of 10.77 percentage points; the weakest was Q4 2022, with a drop of 25.06 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 5.08% (Q1 2026), -1.68% (Q4 2025) and -0.44% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 44.24 Bn | 16.49 Bn | 695.95 Mn | 29.64% |
| 3 | Samsara | 24.06 Bn | 20.83 Bn | 392.58 Mn | 0.96% |
| 4 | Toast | 17.18 Bn | 9.85 Bn | 516.00 Mn | 7.97% |
| 5 | Ptc | 15.95 Bn | 14.76 Bn | 490.47 Mn | 27.75% |
| 6 | Duolingo | 13.49 Bn | 8.67 Bn | 216.74 Mn | 11.37% |
| 7 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 13.58% |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn | 22.24% |
| 9 | Costar | 11.09 Bn | 5.06 Bn | 728.00 Mn | 8.22% |
| 10 | Zillow | 6.32 Bn | 2.17 Bn | 562.00 Mn | -1.30% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1.30% |
| Mar 31, 2026 | 5.08% |
| Dec 31, 2025 | -1.68% |
| Sep 30, 2025 | -0.44% |
| Jun 30, 2025 | -1.68% |
| Mar 31, 2025 | -1.51% |
| Dec 31, 2024 | -12.45% |
| Sep 30, 2024 | -7.75% |
| Jun 30, 2024 | -6.64% |
| Mar 31, 2024 | -8.51% |
| Dec 31, 2023 | -22.15% |
| Sep 30, 2023 | -10.69% |
| Jun 30, 2023 | -13.24% |
| Mar 31, 2023 | -9.59% |
| Dec 31, 2022 | -19.08% |
| Sep 30, 2022 | -10.56% |
| Jun 30, 2022 | 0.99% |
| Mar 31, 2022 | 6.72% |
| Dec 31, 2021 | 5.98% |
| Sep 30, 2021 | 10.00% |
API Access
Zillow Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=ZG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=ZG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();