Gartner (IT) Operating Expenses (2009 - 2026)
Gartner's Operating Expenses came in at $1.3 billion for Q2 2026, down 4.6% from $1.36 billion a year earlier but up 8.6% from the prior quarter.
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Analysis
Gartner (IT) Operating Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Gartner reported Operating Expenses of $5.35 billion, up 1.9% year-over-year; for FY2025, it was $5.47 billion, up 7.1% from FY2024.
- Operating Expenses has increased in each of the last five years, with a five-year compound annual growth rate of 8.7% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $5.11 billion in FY2024 (+9.4%), $4.67 billion in FY2023 (+6.7%), $4.38 billion in FY2022 (+14.6%) and $3.82 billion in FY2021 (+5.8%).
- The five-year range for quarterly Operating Expenses is $926.06 million (Q3 2021) to $1.44 billion (Q3 2025).
- Year-over-year, Operating Expenses increased in six of the last eight quarters, with growth averaging 4.3%.
- The fastest year-over-year change in Operating Expenses over five years came in Q2 2022 (growth of 20.9%), and the weakest in Q1 2026 (a decline of 4.9%).
- Business Quant data shows IT's Operating Expenses at $1.19 billion (Q1 2026), $1.42 billion (Q4 2025) and $1.44 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 118.39 Bn | 78.80 Bn | 6.13 Bn | 15.54 Bn |
| 2 | Cintas | 79.13 Bn | 78.31 Bn | 1.48 Bn | 792.12 Mn |
| 3 | Iron Mountain | 33.17 Bn | 32.69 Bn | 1.07 Bn | 1.66 Bn |
| 4 | APi | 16.75 Bn | 13.79 Bn | 703.00 Mn | 528.00 Mn |
| 5 | Rollins | 14.67 Bn | 14.22 Bn | 569.95 Mn | 877.22 Mn |
| 6 | Aramark | 14.35 Bn | 12.37 Bn | 430.34 Mn | 4.84 Bn |
| 7 | UL Solutions | 13.11 Bn | 11.89 Bn | 417.00 Mn | 267.00 Mn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 1.30 Bn |
| 9 | Rentokil Initial | 10.12 Bn | 3.46 Bn | - | - |
| 10 | Tetra Tech | 8.63 Bn | 7.74 Bn | 243.21 Mn | 5.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.30 Bn |
| Mar 31, 2026 | 1.19 Bn |
| Dec 31, 2025 | 1.42 Bn |
| Sep 30, 2025 | 1.44 Bn |
| Jun 30, 2025 | 1.36 Bn |
| Mar 31, 2025 | 1.26 Bn |
| Dec 31, 2024 | 1.40 Bn |
| Sep 30, 2024 | 1.24 Bn |
| Jun 30, 2024 | 1.28 Bn |
| Mar 31, 2024 | 1.20 Bn |
| Dec 31, 2023 | 1.28 Bn |
| Sep 30, 2023 | 1.16 Bn |
| Jun 30, 2023 | 1.22 Bn |
| Mar 31, 2023 | 1.00 Bn |
| Dec 31, 2022 | 1.17 Bn |
| Sep 30, 2022 | 1.08 Bn |
| Jun 30, 2022 | 1.08 Bn |
| Mar 31, 2022 | 1.05 Bn |
| Dec 31, 2021 | 1.12 Bn |
| Sep 30, 2021 | 926.06 Mn |
API Access
Gartner Operating Expenses 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-expenses&ticker=IT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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-expenses&ticker=IT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();