Gartner (IT) EV to EBITDA (2010 - 2026)
Gartner's (IT) EV to EBITDA came in at 5.13 for Q2 2026, down 75.2% from 20.70 a year earlier and down 27.7% from the prior quarter.
Gartner (IT) EV to EBITDA (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EV to EBITDA at Gartner was 1.44, down 91.3% year-over-year; for FY2025, it came in at 13.09, down 49.6% from FY2024.
- In prior years, Gartner's EV to EBITDA was 25.97 in FY2024 (+9.5%), 23.71 in FY2023 (+18.4%), 20.03 in FY2022 (-15.5%) and 23.71 in FY2021 (+24.6%).
- The Q2 2026 figure stands as the lowest quarterly EV to EBITDA in data going back to Q2 2010.
- On a year-over-year basis, EV to EBITDA has declined in each of the last six quarters, with an average decline of 26.1% over the last eight quarters.
- The strongest year-over-year quarter for EV to EBITDA in the past five years was Q1 2024, with growth of 64.4%; the weakest was Q2 2026, with a decline of 75.2%.
- According to Business Quant data, EV to EBITDA for the three prior quarters was 7.10 (Q1 2026), 13.09 (Q4 2025) and 14.44 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 146.44 Bn | 105.72 Bn | 6.13 Bn |
| 2 | Cintas | 85.50 Bn | 84.58 Bn | 1.55 Bn |
| 3 | Iron Mountain | 33.81 Bn | 33.00 Bn | 1.07 Bn |
| 4 | APi | 17.32 Bn | 14.36 Bn | 703.00 Mn |
| 5 | Rollins | 15.86 Bn | 15.41 Bn | 569.95 Mn |
| 6 | UL Solutions | 14.75 Bn | 13.51 Bn | 417.00 Mn |
| 7 | Aramark | 14.66 Bn | 12.61 Bn | 430.34 Mn |
| 8 | Gartner | 14.30 Bn | 7.99 Bn | 1.19 Bn |
| 9 | Rentokil Initial | 10.74 Bn | 4.25 Bn | - |
| 10 | Tetra Tech | 9.00 Bn | 8.10 Bn | 243.21 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.11 |
| Mar 31, 2026 | 7.07 |
| Dec 31, 2025 | 13.05 |
| Sep 30, 2025 | 14.39 |
| Jun 30, 2025 | 20.64 |
| Mar 31, 2025 | 22.08 |
| Dec 31, 2024 | 25.88 |
| Sep 30, 2024 | 27.75 |
| Jun 30, 2024 | 24.88 |
| Mar 31, 2024 | 27.48 |
| Dec 31, 2023 | 23.63 |
| Sep 30, 2023 | 17.45 |
| Jun 30, 2023 | 17.98 |
| Mar 31, 2023 | 16.73 |
| Dec 31, 2022 | 19.96 |
| Sep 30, 2022 | 18.51 |
| Jun 30, 2022 | 16.54 |
| Mar 31, 2022 | 21.05 |
| Dec 31, 2021 | 23.63 |
| Sep 30, 2021 | 21.45 |
Gartner EV to 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=ev-to-ebitda&ticker=IT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-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=ev-to-ebitda&ticker=IT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();