Gartner (IT) EBITDA (2009 - 2026)
Gartner (IT) posted EBITDA of $423.7 million for Q2 2026, up 12.1% from $377.84 million a year earlier and up 17.2% from the prior quarter.
Powered by 
Analysis
Gartner (IT) EBITDA (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at Gartner was $1.3 billion, down 5.0% year-over-year; for FY2025, it came in at $1.23 billion, down 9.8% from FY2024.
- Annual EBITDA shows a five-year compound annual growth rate of 11.6% (FY2020 to FY2025).
- In prior years, Gartner's EBITDA was $1.36 billion in FY2024 (-4.9%), $1.43 billion in FY2023 (+10.5%), $1.29 billion in FY2022 (+14.5%) and $1.13 billion in FY2021 (+59.1%).
- The Q2 2026 figure stands as the highest quarterly EBITDA since Q1 2023.
- On a year-over-year basis, EBITDA has increased in each of the last three quarters, with an average decline of 2.2% over the last eight quarters.
- The strongest year-over-year quarter for EBITDA in the past five years was Q3 2021, with growth of 99.6%; the weakest was Q3 2025, with a decline of 53.8%.
- According to Business Quant data, EBITDA for the three prior quarters was $361.52 million (Q1 2026), $382.1 million (Q4 2025) and $137.3 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 118.39 Bn | 78.80 Bn | 6.13 Bn | 3.76 Bn |
| 2 | Cintas | 79.13 Bn | 78.31 Bn | 1.48 Bn | 803.77 Mn |
| 3 | Iron Mountain | 33.17 Bn | 32.69 Bn | 1.07 Bn | 662.99 Mn |
| 4 | APi | 16.75 Bn | 13.79 Bn | 703.00 Mn | 264.00 Mn |
| 5 | Rollins | 14.67 Bn | 14.22 Bn | 569.95 Mn | 234.97 Mn |
| 6 | Aramark | 14.35 Bn | 12.37 Bn | 430.34 Mn | 351.69 Mn |
| 7 | UL Solutions | 13.11 Bn | 11.89 Bn | 417.00 Mn | 196.00 Mn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 423.70 Mn |
| 9 | Rentokil Initial | 10.12 Bn | 3.46 Bn | - | - |
| 10 | Tetra Tech | 8.63 Bn | 7.74 Bn | 243.21 Mn | 172.69 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 423.70 Mn |
| Mar 31, 2026 | 361.52 Mn |
| Dec 31, 2025 | 382.10 Mn |
| Sep 30, 2025 | 137.30 Mn |
| Jun 30, 2025 | 377.84 Mn |
| Mar 31, 2025 | 328.79 Mn |
| Dec 31, 2024 | 369.02 Mn |
| Sep 30, 2024 | 297.08 Mn |
| Jun 30, 2024 | 369.32 Mn |
| Mar 31, 2024 | 323.19 Mn |
| Dec 31, 2023 | 350.74 Mn |
| Sep 30, 2023 | 292.95 Mn |
| Jun 30, 2023 | 329.72 Mn |
| Mar 31, 2023 | 454.59 Mn |
| Dec 31, 2022 | 381.00 Mn |
| Sep 30, 2022 | 300.67 Mn |
| Jun 30, 2022 | 344.79 Mn |
| Mar 31, 2022 | 265.60 Mn |
| Dec 31, 2021 | 237.06 Mn |
| Sep 30, 2021 | 282.70 Mn |
API Access
Gartner EBITDA 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=ebitda&ticker=IT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=IT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();