Gartner (IT) EBITDA (2009 - 2026)
Gartner (IT) posted EBITDA of $327.51 million for Q3 2026, up 136.7% from $138.35 million a year earlier but down 22.9% from the prior quarter.
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Analysis
Gartner (IT) EBITDA (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, EBITDA at Gartner was $1.5 billion, up 23.1% year-over-year; for FY2025, it came in at $1.23 billion, down 9.7% from FY2024.
- Annual EBITDA shows a five-year compound annual growth rate of 11.4% (FY2020 to FY2025).
- In prior years, Gartner's EBITDA was $1.36 billion in FY2024 (-4.9%), $1.43 billion in FY2023 (+10.5%), $1.3 billion in FY2022 (+14.5%) and $1.13 billion in FY2021 (+57.8%).
- Quarterly EBITDA has run from a low of $138.35 million in Q3 2025 to a high of $455.75 million in Q1 2023 over five years.
- On a year-over-year basis, EBITDA has increased in each of the last four quarters, with growth averaging 14.7% over the last eight quarters.
- The strongest year-over-year quarter for EBITDA in the past five years was Q3 2026, with growth of 136.7%; the weakest was Q3 2025, with a decline of 53.6%.
- According to Business Quant data, EBITDA for the three prior quarters was $425.01 million (Q2 2026), $362.82 million (Q1 2026) and $383.26 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 156.49 Bn | 114.42 Bn | 5.98 Bn | 3.47 Bn |
| 2 | Cintas | 89.36 Bn | 88.45 Bn | 1.55 Bn | 839.21 Mn |
| 3 | Iron Mountain | 33.13 Bn | 32.33 Bn | 1.06 Bn | 711.62 Mn |
| 4 | Rollins | 18.53 Bn | 18.08 Bn | 582.90 Mn | 256.13 Mn |
| 5 | APi | 18.33 Bn | 15.55 Bn | 770.00 Mn | 306.00 Mn |
| 6 | UL Solutions | 16.46 Bn | 14.45 Bn | 423.00 Mn | 211.00 Mn |
| 7 | Aramark | 14.43 Bn | 12.37 Bn | 430.34 Mn | 351.69 Mn |
| 8 | Gartner | 12.19 Bn | 5.67 Bn | 1.07 Bn | 327.51 Mn |
| 9 | Rentokil Initial | 12.05 Bn | 5.56 Bn | - | - |
| 10 | Tetra Tech | 10.60 Bn | 9.71 Bn | 243.21 Mn | 172.69 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 327.51 Mn |
| Jun 30, 2026 | 425.01 Mn |
| Mar 31, 2026 | 362.82 Mn |
| Dec 31, 2025 | 383.26 Mn |
| Sep 30, 2025 | 138.35 Mn |
| Jun 30, 2025 | 378.88 Mn |
| Mar 31, 2025 | 329.83 Mn |
| Dec 31, 2024 | 370.04 Mn |
| Sep 30, 2024 | 298.09 Mn |
| Jun 30, 2024 | 370.33 Mn |
| Mar 31, 2024 | 324.73 Mn |
| Dec 31, 2023 | 351.92 Mn |
| Sep 30, 2023 | 294.13 Mn |
| Jun 30, 2023 | 330.89 Mn |
| Mar 31, 2023 | 455.75 Mn |
| Dec 31, 2022 | 382.16 Mn |
| Sep 30, 2022 | 301.82 Mn |
| Jun 30, 2022 | 345.93 Mn |
| Mar 31, 2022 | 266.73 Mn |
| Dec 31, 2021 | 238.19 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();