Gartner (IT) Depreciation & Amortization - Total (2009 - 2026)
Gartner (IT) reported Depreciation & Amortization - Total of $25.15 million for Q2 2026, down 17.7% from $30.54 million a year earlier and down 0.9% from the prior quarter.
Gartner (IT) Depreciation & Amortization - Total (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Gartner's Depreciation & Amortization - Total came in at $109.12 million, down 7.2% year-over-year; for FY2025, it was $118.02 million, up 5.3% from FY2024.
- Depreciation & Amortization - Total has increased for three consecutive years, with a five-year compound annual growth rate of 4.7% (FY2020 to FY2025).
- By year, Depreciation & Amortization - Total came in at $112.1 million in FY2024 (+13.6%), $98.65 million in FY2023 (+5.6%), $93.41 million in FY2022 (-9.1%) and $102.8 million in FY2021 (+9.5%).
- The Q2 2026 figure ranks as the lowest quarterly Depreciation & Amortization - Total since Q3 2023.
- Year over year, Depreciation & Amortization - Total has now declined in each of the last three quarters, with growth averaging 2.5% over the last eight quarters.
- The high point for year-over-year Depreciation & Amortization - Total in five years was Q3 2024 (growth of 18.5%); the low point was Q2 2026 (a decline of 17.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $25.37 million (Q1 2026), $27.88 million (Q4 2025) and $30.73 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Tot) (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 | 202.85 Mn |
| 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 | 25.15 Mn |
| 9 | Rentokil Initial | 10.70 Bn | 4.22 Bn | - | - |
| 10 | Tetra Tech | 8.94 Bn | 8.04 Bn | 243.21 Mn | 5.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 25.15 Mn |
| Mar 31, 2026 | 25.37 Mn |
| Dec 31, 2025 | 27.88 Mn |
| Sep 30, 2025 | 30.73 Mn |
| Jun 30, 2025 | 30.54 Mn |
| Mar 31, 2025 | 28.87 Mn |
| Dec 31, 2024 | 29.11 Mn |
| Sep 30, 2024 | 29.08 Mn |
| Jun 30, 2024 | 27.59 Mn |
| Mar 31, 2024 | 26.32 Mn |
| Dec 31, 2023 | 26.49 Mn |
| Sep 30, 2023 | 24.55 Mn |
| Jun 30, 2023 | 23.71 Mn |
| Mar 31, 2023 | 23.90 Mn |
| Dec 31, 2022 | 24.42 Mn |
| Sep 30, 2022 | 22.88 Mn |
| Jun 30, 2022 | 22.91 Mn |
| Mar 31, 2022 | 23.20 Mn |
| Dec 31, 2021 | 25.83 Mn |
| Sep 30, 2021 | 25.37 Mn |
Gartner Depreciation & Amortization - Total 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=depreciation-and-amortization-total&ticker=IT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-total", "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=depreciation-and-amortization-total&ticker=IT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();