Gartner (IT) Return on Sales [ROS] (2009 - 2026)
Gartner (IT) recorded Return on Sales [ROS] of 18.68% in Q3 2026, up 13.02 percentage points from 5.67% a year earlier but down 3.90 percentage points from the prior quarter.
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Analysis
Gartner (IT) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a TTM basis, Gartner's Return on Sales [ROS] came in at 20.33% as of Sep 30, 2026, up 4.70 percentage points year-over-year; for FY2025, it was 15.79%, down 2.66 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of +3.83 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at 18.45% in FY2024 (-2.49 pp), 20.94% in FY2023 (+0.85 pp), 20.09% in FY2022 (+0.75 pp) and 19.34% in FY2021 (+7.39 pp).
- Quarterly Return on Sales [ROS] has ranged from 5.67% in Q3 2025 to 28.96% in Q1 2023 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] has increased for four consecutive quarters, with an average year-over-year change of +0.89 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 13.02 percentage points in Q3 2026, against a drop of 10.90 percentage points in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at 22.59% (Q2 2026), 20.92% (Q1 2026) and 19.07% (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 172.92 Bn | 132.01 Bn | 5.98 Bn | 15.33% |
| 2 | Cintas | 90.00 Bn | 89.09 Bn | 1.55 Bn | 23.62% |
| 3 | Iron Mountain | 32.99 Bn | 32.50 Bn | 1.06 Bn | 20.63% |
| 4 | Rollins | 18.37 Bn | 17.91 Bn | 582.90 Mn | 20.45% |
| 5 | APi | 18.18 Bn | 15.39 Bn | 770.00 Mn | 7.91% |
| 6 | UL Solutions | 16.47 Bn | 14.51 Bn | 423.00 Mn | 19.68% |
| 7 | Aramark | 14.29 Bn | 12.30 Bn | 430.34 Mn | 4.26% |
| 8 | Rentokil Initial | 11.99 Bn | 5.51 Bn | - | - |
| 9 | Gartner | 11.92 Bn | 5.41 Bn | 1.07 Bn | 18.68% |
| 10 | Tetra Tech | 10.41 Bn | 9.52 Bn | 243.21 Mn | 12.07% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 18.68% |
| Jun 30, 2026 | 22.59% |
| Mar 31, 2026 | 20.92% |
| Dec 31, 2025 | 19.07% |
| Sep 30, 2025 | 5.67% |
| Jun 30, 2025 | 19.40% |
| Mar 31, 2025 | 18.12% |
| Dec 31, 2024 | 18.53% |
| Sep 30, 2024 | 16.56% |
| Jun 30, 2024 | 19.99% |
| Mar 31, 2024 | 18.59% |
| Dec 31, 2023 | 19.00% |
| Sep 30, 2023 | 17.35% |
| Jun 30, 2023 | 18.83% |
| Mar 31, 2023 | 28.96% |
| Dec 31, 2022 | 22.09% |
| Sep 30, 2022 | 19.03% |
| Jun 30, 2022 | 21.58% |
| Mar 31, 2022 | 17.20% |
| Dec 31, 2021 | 14.19% |
API Access
Gartner 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=IT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "IT", "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=IT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();