Gartner (IT) Other Operating Expenses (2009 - 2026)
Gartner's Other Operating Expenses came in at -$1.39 million for Q3 2026, compared with $150 million a year earlier.
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Analysis
Gartner (IT) Other Operating Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Gartner reported Other Operating Expenses of $146.35 million, up 735.1% year-over-year; for FY2025, it was $149.99 million.
- Going back by year, Other Operating Expenses was -$135.47 million in FY2023.
- The five-year range for quarterly Other Operating Expenses is -$139.32 million (Q1 2023) to $150 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 153.56 Bn | 111.49 Bn | 5.98 Bn |
| 2 | Cintas | 88.59 Bn | 87.67 Bn | 1.55 Bn |
| 3 | Iron Mountain | 33.27 Bn | 32.47 Bn | 1.06 Bn |
| 4 | APi | 18.49 Bn | 15.70 Bn | 770.00 Mn |
| 5 | Rollins | 18.05 Bn | 17.59 Bn | 582.90 Mn |
| 6 | UL Solutions | 16.33 Bn | 14.33 Bn | 423.00 Mn |
| 7 | Aramark | 14.48 Bn | 12.43 Bn | 430.34 Mn |
| 8 | Rentokil Initial | 11.94 Bn | 6.46 Bn | - |
| 9 | Gartner | 11.90 Bn | 5.39 Bn | 1.07 Bn |
| 10 | Tetra Tech | 10.45 Bn | 9.56 Bn | 243.21 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 431.76 Mn |
| Jun 30, 2026 | 487.65 Mn |
| Mar 31, 2026 | 423.14 Mn |
| Dec 31, 2025 | 572.59 Mn |
| Sep 30, 2025 | 624.22 Mn |
| Jun 30, 2025 | 531.73 Mn |
| Mar 31, 2025 | 475.02 Mn |
| Dec 31, 2024 | 574.88 Mn |
| Sep 30, 2024 | 475.31 Mn |
| Jun 30, 2024 | 513.31 Mn |
| Mar 31, 2024 | 459.43 Mn |
| Dec 31, 2023 | 529.79 Mn |
| Sep 30, 2023 | 450.83 Mn |
| Jun 30, 2023 | 491.32 Mn |
| Mar 31, 2023 | 295.82 Mn |
| Dec 31, 2022 | 475.37 Mn |
| Sep 30, 2022 | 416.81 Mn |
| Jun 30, 2022 | 424.49 Mn |
| Mar 31, 2022 | 377.03 Mn |
| Dec 31, 2021 | 399.57 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();