Gartner (IT) Depreciation and Depletion (2012 - 2026)
Gartner's Depreciation and Depletion came in at $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 and Depletion (2012 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Gartner reported Depreciation and Depletion of $109.12 million, down 7.2% year-over-year; for FY2025, it came in at $118.02 million, up 5.3% from FY2024.
- Depreciation and Depletion has increased in each of the last three years, with a five-year compound annual growth rate of 4.7% (FY2020 to FY2025).
- Going back by year, Depreciation and Depletion was $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 represents the lowest quarterly Depreciation and Depletion since Q3 2023.
- Year-over-year, Depreciation and Depletion has declined for three consecutive quarters, with growth averaging 2.5% over the last eight quarters.
- The fastest year-over-year change in Depreciation and Depletion over five years came in Q3 2024 (growth of 18.5%), and the weakest in Q2 2026 (a decline of 17.7%).
- Business Quant data shows IT's Depreciation and Depletion at $25.37 million (Q1 2026), $27.88 million (Q4 2025) and $30.73 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn | 143.59 Mn |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn | 81.60 Mn |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn | 202.85 Mn |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn | 21.00 Mn |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn | - |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn | - |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn | - |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn | 25.15 Mn |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - | - |
| 10 | Tetra Tech | 8.44 Bn | 7.55 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 and Depletion 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-depletion&ticker=IT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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-depletion&ticker=IT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();