ZoomInfo Technologies (GTM) Return on Sales [ROS] (2019 - 2026)
ZoomInfo Technologies (GTM) recorded Return on Sales [ROS] of -200.39% in Q2 2026, down 217.90 percentage points from 17.51% a year earlier and down 219.05 percentage points from the prior quarter.
Powered by 
Analysis
ZoomInfo Technologies (GTM) Return on Sales [ROS] (2019 - 2026) Analysis & Trends
On a TTM basis, ZoomInfo Technologies' Return on Sales [ROS] came in at -35.18% as of Jun 30, 2026, down 49.74 percentage points year-over-year; for FY2025, it was 18.06%, up 10.04 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of +10.27 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at 8.02% in FY2024 (-12.91 pp), 20.94% in FY2023 (+4.92 pp), 16.01% in FY2022 (+0.85 pp) and 15.16% in FY2021 (+7.37 pp).
- The Q2 2026 figure is the lowest quarterly Return on Sales [ROS] in data going back to Q2 2019.
- On a year-over-year basis, Return on Sales [ROS] rose in five of the last eight quarters, with an average year-over-year change of -24.11 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 24.37 percentage points in Q2 2025, against a drop of 217.90 percentage points in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at 18.67% (Q1 2026), 16.99% (Q4 2025) and 21.23% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 453.55 Bn | 422.61 Bn | 1.64 Bn | 47.12% |
| 2 | Oracle | 430.98 Bn | 303.54 Bn | - | 34.78% |
| 3 | Sap Se | 256.23 Bn | 177.31 Bn | 8.40 Bn | 26.76% |
| 4 | Salesforce | 193.08 Bn | 148.96 Bn | 8.70 Bn | 20.55% |
| 5 | ServiceNow | 138.94 Bn | 117.40 Bn | 2.82 Bn | 4.06% |
| 6 | Automatic Data Processing | 102.51 Bn | 84.63 Bn | 2.51 Bn | -33.33% |
| 7 | Intuit | 75.44 Bn | 54.79 Bn | 3.44 Bn | 10.91% |
| 8 | Relx | 60.79 Bn | 57.76 Bn | - | - |
| 9 | Strategy | 56.32 Bn | 49.31 Bn | 81.55 Mn | -6,808.11% |
| 10 | ZoomInfo Technologies | 1.08 Bn | 444.28 Mn | 256.80 Mn | -200.39% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -200.39% |
| Mar 31, 2026 | 18.67% |
| Dec 31, 2025 | 16.99% |
| Sep 30, 2025 | 21.23% |
| Jun 30, 2025 | 17.51% |
| Mar 31, 2025 | 16.45% |
| Dec 31, 2024 | 10.00% |
| Sep 30, 2024 | 14.33% |
| Jun 30, 2024 | -6.86% |
| Mar 31, 2024 | 13.87% |
| Dec 31, 2023 | 22.28% |
| Sep 30, 2023 | 20.11% |
| Jun 30, 2023 | 19.31% |
| Mar 31, 2023 | 22.05% |
| Dec 31, 2022 | 17.27% |
| Sep 30, 2022 | 18.01% |
| Jun 30, 2022 | 14.79% |
| Mar 31, 2022 | 13.41% |
| Dec 31, 2021 | 10.89% |
| Sep 30, 2021 | 10.22% |
API Access
ZoomInfo Technologies 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=GTM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "GTM", "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=GTM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();