Zillow (ZG) Return on Sales [ROS] (2014 - 2026)
Zillow (ZG) posted Return on Sales [ROS] of -22.24% for Q3 2026, down 21.79 percentage points from -0.44% a year earlier and down 20.94 percentage points from the prior quarter.
Zillow (ZG) Return on Sales [ROS] (2014 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Return on Sales [ROS] at Zillow was -5.11%, down 1.40 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).
- The Q3 2026 figure stands as the lowest quarterly Return on Sales [ROS] since Q4 2018.
- On a year-over-year basis, Return on Sales [ROS] increased in seven of the last eight quarters, with an average year-over-year change of +3.11 percentage points.
- 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 -1.30% (Q2 2026), 5.08% (Q1 2026) and -1.68% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 49.39 Bn | 21.63 Bn | 695.95 Mn | 29.64% |
| 3 | Samsara | 23.96 Bn | 20.73 Bn | 392.58 Mn | 0.96% |
| 4 | Ptc | 22.37 Bn | 21.18 Bn | 490.47 Mn | 27.75% |
| 5 | Toast | 20.05 Bn | 12.69 Bn | 543.00 Mn | 8.33% |
| 6 | Manhattan Associates | 14.85 Bn | 13.91 Bn | 174.30 Mn | 26.45% |
| 7 | Bentley Systems | 13.89 Bn | 13.37 Bn | 349.55 Mn | 29.09% |
| 8 | Trimble | 12.57 Bn | 11.65 Bn | 659.10 Mn | 14.69% |
| 9 | Costar | 12.28 Bn | 7.66 Bn | 741.00 Mn | 8.82% |
| 10 | Zillow | 6.85 Bn | 3.38 Bn | 516.00 Mn | -22.24% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -22.24% |
| 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% |
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_KEY
import 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();