Gartner (IT) Other Operating Expenses (2009 - 2026)
Gartner (IT) recorded Other Operating Expenses of $507.69 million in Q2 2026, down 8.0% from $551.94 million a year earlier but up 14.5% from the prior quarter.
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Analysis
Gartner (IT) Other Operating Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Gartner's Other Operating Expenses came in at $2.19 billion as of Jun 30, 2026, up 2.1% year-over-year; for FY2025, it was $2.29 billion, up 8.2% from FY2024.
- Annual Other Operating Expenses has increased for five straight years, with a five-year compound annual growth rate of 9.2% (FY2020 to FY2025).
- Across earlier years, Other Operating Expenses came in at $2.11 billion in FY2024 (+13.6%), $1.86 billion in FY2023 (+3.8%), $1.79 billion in FY2022 (+15.4%) and $1.55 billion in FY2021 (+5.7%).
- Quarterly Other Operating Expenses has ranged from $318.56 million in Q1 2023 to $644.44 million in Q3 2025 over the past five years.
- On a year-over-year basis, Other Operating Expenses has declined for three consecutive quarters, with growth averaging 3.6% over the last eight quarters.
- Peak year-over-year performance for Other Operating Expenses in the last five years was growth of 51.4% in Q1 2024, against a decline of 20.8% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $443.24 million (Q1 2026), $592.57 million (Q4 2025) and $644.44 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 118.39 Bn | 78.80 Bn | 6.13 Bn |
| 2 | Cintas | 79.13 Bn | 78.31 Bn | 1.48 Bn |
| 3 | Iron Mountain | 33.17 Bn | 32.69 Bn | 1.07 Bn |
| 4 | APi | 16.75 Bn | 13.79 Bn | 703.00 Mn |
| 5 | Rollins | 14.67 Bn | 14.22 Bn | 569.95 Mn |
| 6 | Aramark | 14.35 Bn | 12.37 Bn | 430.34 Mn |
| 7 | UL Solutions | 13.11 Bn | 11.89 Bn | 417.00 Mn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn |
| 9 | Rentokil Initial | 10.12 Bn | 3.46 Bn | - |
| 10 | Tetra Tech | 8.63 Bn | 7.74 Bn | 243.21 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 507.69 Mn |
| Mar 31, 2026 | 443.24 Mn |
| Dec 31, 2025 | 592.57 Mn |
| Sep 30, 2025 | 644.44 Mn |
| Jun 30, 2025 | 551.94 Mn |
| Mar 31, 2025 | 496.92 Mn |
| Dec 31, 2024 | 597.01 Mn |
| Sep 30, 2024 | 497.51 Mn |
| Jun 30, 2024 | 536.25 Mn |
| Mar 31, 2024 | 482.43 Mn |
| Dec 31, 2023 | 552.66 Mn |
| Sep 30, 2023 | 474.83 Mn |
| Jun 30, 2023 | 514.23 Mn |
| Mar 31, 2023 | 318.56 Mn |
| Dec 31, 2022 | 499.61 Mn |
| Sep 30, 2022 | 441.21 Mn |
| Jun 30, 2022 | 449.29 Mn |
| Mar 31, 2022 | 402.18 Mn |
| Dec 31, 2021 | 425.37 Mn |
| Sep 30, 2021 | 386.35 Mn |
API Access
Gartner Other 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=other-operating-expenses&ticker=IT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=IT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();