Gartner (IT) Operating Margin (2009 - 2026)
Gartner (IT) recorded Operating Margin of 22.59% in Q2 2026, up 3.19 percentage points from 19.40% a year earlier and up 1.67 percentage points from the prior quarter.
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Analysis
Gartner (IT) Operating Margin (2009 - 2026) Analysis & Trends
On a TTM basis, Gartner's Operating Margin came in at 17.25% as of Jun 30, 2026, down 0.95 percentage points year-over-year; for FY2025, it came in at 15.79%, down 2.66 percentage points from FY2024.
- Annual Operating Margin has a five-year change of +3.83 percentage points (FY2020 to FY2025).
- Across earlier years, Operating Margin 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).
- The Q2 2026 figure is the highest quarterly Operating Margin since Q1 2023.
- On a year-over-year basis, Operating Margin has increased for three consecutive quarters, with an average year-over-year change of -0.84 percentage points over the last eight quarters.
- Peak year-over-year performance for Operating Margin in the last five years was a gain of 11.75 percentage points in Q1 2023, 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 20.92% (Q1 2026), 19.07% (Q4 2025) and 5.67% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 118.39 Bn | 78.80 Bn | 6.13 Bn | 16.96% |
| 2 | Cintas | 79.13 Bn | 78.31 Bn | 1.48 Bn | 23.17% |
| 3 | Iron Mountain | 33.17 Bn | 32.69 Bn | 1.07 Bn | 18.41% |
| 4 | APi | 16.75 Bn | 13.79 Bn | 703.00 Mn | 7.76% |
| 5 | Rollins | 14.67 Bn | 14.22 Bn | 569.95 Mn | 18.67% |
| 6 | Aramark | 14.35 Bn | 12.37 Bn | 430.34 Mn | 4.26% |
| 7 | UL Solutions | 13.11 Bn | 11.89 Bn | 417.00 Mn | 18.38% |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 22.59% |
| 9 | Rentokil Initial | 10.12 Bn | 3.46 Bn | - | - |
| 10 | Tetra Tech | 8.63 Bn | 7.74 Bn | 243.21 Mn | 12.07% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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% |
| Sep 30, 2021 | 19.91% |
API Access
Gartner Operating Margin 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=operating-margin&ticker=IT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=IT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();