Gartner (IT) Amortization - Intangibles (2009 - 2026)
Gartner (IT) posted Amortization - Intangibles of $20.04 million for Q2 2026, down 0.8% from $20.2 million a year earlier and down 0.3% from the prior quarter.
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Analysis
Gartner (IT) Amortization - Intangibles (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Amortization - Intangibles at Gartner was $80.34 million, down 7.1% year-over-year; for FY2025, it was $82.3 million, down 8.8% from FY2024.
- Annual Amortization - Intangibles has declined for seven consecutive years, with a five-year compound annual growth rate of -8.0% (FY2020 to FY2025).
- In prior years, Gartner's Amortization - Intangibles was $90.23 million in FY2024 (-2.5%), $92.5 million in FY2023 (-6.1%), $98.54 million in FY2022 (-10.1%) and $109.6 million in FY2021 (-12.4%).
- Quarterly Amortization - Intangibles has run from a low of $19.98 million in Q4 2025 to a high of $27.11 million in Q3 2021 over five years.
- On a year-over-year basis, Amortization - Intangibles has declined in each of the last eight quarters, with an average decline of 6.9% over the last eight quarters.
- The strongest year-over-year quarter for Amortization - Intangibles in the past five years was Q1 2024, with growth of 1.2%; the weakest was Q1 2022, with a decline of 17.6%.
- According to Business Quant data, Amortization - Intangibles for the three prior quarters was $20.1 million (Q1 2026), $19.98 million (Q4 2025) and $20.22 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 145.07 Bn | 104.35 Bn | 6.13 Bn |
| 2 | Cintas | 84.93 Bn | 84.01 Bn | 1.55 Bn |
| 3 | Iron Mountain | 33.24 Bn | 32.43 Bn | 1.07 Bn |
| 4 | APi | 17.33 Bn | 14.36 Bn | 703.00 Mn |
| 5 | Rollins | 15.77 Bn | 15.32 Bn | 569.95 Mn |
| 6 | UL Solutions | 14.77 Bn | 13.53 Bn | 417.00 Mn |
| 7 | Aramark | 14.70 Bn | 12.64 Bn | 430.34 Mn |
| 8 | Gartner | 13.80 Bn | 7.49 Bn | 1.19 Bn |
| 9 | Rentokil Initial | 10.70 Bn | 4.22 Bn | - |
| 10 | Tetra Tech | 8.94 Bn | 8.04 Bn | 243.21 Mn |
Historic Data
Download Data
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 |
API Access
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_KEYimport 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();