Gartner (IT) Return on Capital Employed [ROCE] (2009 - 2026)
Gartner's Return on Capital Employed [ROCE] came in at 35.82% for Q3 2026, up 12.34 percentage points from 23.48% a year earlier and up 6.17 percentage points from the prior quarter.
Gartner (IT) Return on Capital Employed [ROCE] (2009 - 2026) Analysis & Trends
For FY2025, Gartner's Return on Capital Employed [ROCE] was 24.20%, down 3.22 percentage points from FY2024.
- Return on Capital Employed [ROCE] carries a five-year change of +12.77 percentage points (FY2020 to FY2025).
- Going back by year, Return on Capital Employed [ROCE] was 27.42% in FY2024 (-5.21 pp), 32.63% in FY2023 (+3.38 pp), 29.25% in FY2022 (+6.29 pp) and 22.97% in FY2021 (+11.53 pp).
- The Q3 2026 figure represents the highest quarterly Return on Capital Employed [ROCE] since Q3 2015.
- Year-over-year, Return on Capital Employed [ROCE] has increased for four consecutive quarters, with an average year-over-year change of +0.76 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Capital Employed [ROCE] over five years came in Q3 2026 (a gain of 12.34 percentage points), and the weakest in Q1 2024 (a drop of 6.54 percentage points).
- Business Quant data shows IT's Return on Capital Employed [ROCE] at 29.65% (Q2 2026), 26.70% (Q1 2026) and 28.53% (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 172.92 Bn | 132.01 Bn | 5.98 Bn | 23.33% |
| 2 | Cintas | 90.00 Bn | 89.09 Bn | 1.55 Bn | 34.24% |
| 3 | Iron Mountain | 32.99 Bn | 32.50 Bn | 1.06 Bn | 8.28% |
| 4 | Rollins | 18.37 Bn | 17.91 Bn | 582.90 Mn | 30.79% |
| 5 | APi | 18.18 Bn | 15.39 Bn | 770.00 Mn | 8.90% |
| 6 | UL Solutions | 16.47 Bn | 14.51 Bn | 423.00 Mn | 22.24% |
| 7 | Aramark | 14.29 Bn | 12.30 Bn | 430.34 Mn | 7.98% |
| 8 | Rentokil Initial | 11.99 Bn | 5.51 Bn | - | - |
| 9 | Gartner | 11.92 Bn | 5.41 Bn | 1.07 Bn | 35.82% |
| 10 | Tetra Tech | 10.41 Bn | 9.52 Bn | 243.21 Mn | 20.12% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 35.82% |
| Jun 30, 2026 | 29.65% |
| Mar 31, 2026 | 26.70% |
| Dec 31, 2025 | 28.53% |
| Sep 30, 2025 | 23.48% |
| Jun 30, 2025 | 24.30% |
| Mar 31, 2025 | 24.61% |
| Dec 31, 2024 | 27.39% |
| Sep 30, 2024 | 27.36% |
| Jun 30, 2024 | 27.71% |
| Mar 31, 2024 | 26.69% |
| Dec 31, 2023 | 32.87% |
| Sep 30, 2023 | 31.79% |
| Jun 30, 2023 | 31.68% |
| Mar 31, 2023 | 33.22% |
| Dec 31, 2022 | 33.18% |
| Sep 30, 2022 | 27.45% |
| Jun 30, 2022 | 25.76% |
| Mar 31, 2022 | 23.03% |
| Dec 31, 2021 | 23.93% |
Gartner Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=IT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=IT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();