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 | 116.45 Bn | 76.86 Bn | 6.13 Bn |
| 2 | Cintas | 80.26 Bn | 79.45 Bn | 1.48 Bn |
| 3 | Iron Mountain | 33.05 Bn | 32.57 Bn | 1.07 Bn |
| 4 | APi | 16.57 Bn | 13.61 Bn | 703.00 Mn |
| 5 | Rollins | 14.72 Bn | 14.26 Bn | 569.95 Mn |
| 6 | Aramark | 14.30 Bn | 12.32 Bn | 430.34 Mn |
| 7 | UL Solutions | 13.09 Bn | 11.87 Bn | 417.00 Mn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn |
| 9 | Rentokil Initial | 10.36 Bn | 3.71 Bn | - |
| 10 | Tetra Tech | 8.68 Bn | 7.79 Bn | 243.21 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.13 |
| Mar 31, 2026 | 7.10 |
| Dec 31, 2025 | 13.09 |
| Sep 30, 2025 | 14.44 |
| Jun 30, 2025 | 20.70 |
| Mar 31, 2025 | 22.15 |
| Dec 31, 2024 | 25.97 |
| Sep 30, 2024 | 27.84 |
| Jun 30, 2024 | 24.97 |
| Mar 31, 2024 | 27.59 |
| Dec 31, 2023 | 23.71 |
| Sep 30, 2023 | 17.51 |
| Jun 30, 2023 | 18.04 |
| Mar 31, 2023 | 16.78 |
| Dec 31, 2022 | 20.03 |
| Sep 30, 2022 | 18.58 |
| Jun 30, 2022 | 16.61 |
| Mar 31, 2022 | 21.13 |
| Dec 31, 2021 | 23.71 |
| Sep 30, 2021 | 21.52 |
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();