Gartner (IT) Amortization - Intangibles (2009 - 2026)
Gartner's (IT) quarterly Amortization - Intangibles came in at $20.0 million in Q2 2026, down 0.82% on a YoY basis from $20.2 million in Q2 2025, and little changed quarter-over-quarter from $20.1 million in Q1 2026.
Gartner (IT) Amortization - Intangibles (2009 - 2026) Analysis & Trends
Gartner (IT) has reported Amortization - Intangibles for 18 consecutive years, with $20.0 million the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Amortization - Intangibles fell 0.82% year-over-year to $20.0 million; the trailing twelve-month figure through Jun 2026 stood at $80.3 million (down 7.05% YoY), and the FY2025 full-year result was $82.3 million, down 8.79% from the prior year.
- Amortization - Intangibles held at $20.0 million in Q2 2026 per IT's latest filing, from $20.1 million in the prior quarter.
- Across five years, Amortization - Intangibles topped out at $25.1 million in Q1 2022 and bottomed at $20.0 million in Q4 2025.
- Historically, Amortization - Intangibles has averaged $22.4 million across 5 years, with a median of $22.8 million in 2023.
- The sharpest annual moves came in 2022 and 2024: Amortization - Intangibles fell 17.59% in 2022, then grew 1.17% in 2024.
- Over 5 years, Amortization - Intangibles stood at $24.2 million in 2022, then fell by 5.62% to $22.9 million in 2023, then dropped by 3.25% to $22.1 million in 2024, then slipped by 9.71% to $20.0 million in 2025, then gained by 0.28% to $20.0 million in 2026.
- According to Business Quant data, Amortization - Intangibles over the past three periods registered $20.0 million, $20.1 million, and $20.0 million for Q2 2026, Q1 2026, and Q4 2025 respectively.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 124.23 Bn | 115.18 Bn | 6.13 Bn |
| 2 | UL Solutions | 13.40 Bn | 13.00 Bn | 417.00 Mn |
| 3 | Gartner | 11.57 Bn | 10.08 Bn | 1.19 Bn |
| 4 | Booz Allen Hamilton Holding | 9.30 Bn | 8.76 Bn | 1.46 Bn |
| 5 | Tetra Tech | 9.21 Bn | 8.98 Bn | 243.21 Mn |
| 6 | Genpact | 5.73 Bn | 5.21 Bn | 490.34 Mn |
| 7 | Grand Canyon Education | 3.95 Bn | 3.68 Bn | 204.08 Mn |
| 8 | Fti Consulting | 3.90 Bn | 3.73 Bn | 316.27 Mn |
| 9 | Korn Ferry | 3.90 Bn | 3.09 Bn | 681.29 Mn |
| 10 | Exponent | 3.19 Bn | 3.12 Bn | 158.75 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 20.04 Mn |
| Mar 31, 2026 | 20.10 Mn |
| Dec 31, 2025 | 19.98 Mn |
| Sep 30, 2025 | 20.22 Mn |
| Jun 30, 2025 | 20.20 Mn |
| Mar 31, 2025 | 21.90 Mn |
| Dec 31, 2024 | 22.13 Mn |
| Sep 30, 2024 | 22.20 Mn |
| Jun 30, 2024 | 22.94 Mn |
| Mar 31, 2024 | 23.00 Mn |
| Dec 31, 2023 | 22.88 Mn |
| Sep 30, 2023 | 24.00 Mn |
| Jun 30, 2023 | 22.90 Mn |
| Mar 31, 2023 | 22.74 Mn |
| Dec 31, 2022 | 24.24 Mn |
| Sep 30, 2022 | 24.40 Mn |
| Jun 30, 2022 | 24.80 Mn |
| Mar 31, 2022 | 25.15 Mn |
| Dec 31, 2021 | 25.80 Mn |
| Sep 30, 2021 | 27.11 Mn |
Gartner Amortization - Intangibles 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=amortization-intangibles&ticker=IT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "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=amortization-intangibles&ticker=IT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();