Gartner (IT) Property, Plant & Equipment (Net) (2009 - 2026)
Gartner's Property, Plant & Equipment (Net) was $199.25 million in Q2 2026, down 21.5% from $253.95 million a year earlier and down 2.7% from the prior quarter.
Gartner (IT) Property, Plant & Equipment (Net) (2009 - 2026) Analysis & Trends
At the end of FY2025, Property, Plant & Equipment (Net) at Gartner came in at $214.18 million, down 11.8% from FY2024.
- Property, Plant & Equipment (Net) has now declined for six consecutive years, with a five-year compound annual growth rate of -8.7% (FY2020 to FY2025).
- In earlier years, Property, Plant & Equipment (Net) was $242.97 million in FY2024 (-7.5%), $262.72 million in FY2023 (-0.7%), $264.58 million in FY2022 (-3.3%) and $273.56 million in FY2021 (-18.8%).
- The Q2 2026 figure marks the lowest quarterly Property, Plant & Equipment (Net) since Q2 2017.
- Compared with a year earlier, Property, Plant & Equipment (Net) has declined for 11 straight quarters, with an average decline of 8.4% over the last eight quarters.
- The best year-over-year quarter for Property, Plant & Equipment (Net) over five years was Q2 2023 (growth of 3.3%); the worst was Q2 2026 (a decline of 21.5%).
- Per Business Quant data, IT's Property, Plant & Equipment (Net) in the three quarters before Q2 2026 was $204.84 million (Q1 2026), $214.18 million (Q4 2025) and $248.95 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn | 1.62 Bn |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn | 1.74 Bn |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn | 10.27 Bn |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn | 429.00 Mn |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn | 1.74 Bn |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn | 126.69 Mn |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn | 766.00 Mn |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn | 199.25 Mn |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - | 443.00 Mn |
| 10 | Tetra Tech | 8.48 Bn | 7.59 Bn | 243.21 Mn | 63.15 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 199.25 Mn |
| Mar 31, 2026 | 204.84 Mn |
| Dec 31, 2025 | 214.18 Mn |
| Sep 30, 2025 | 248.95 Mn |
| Jun 30, 2025 | 253.95 Mn |
| Mar 31, 2025 | 249.46 Mn |
| Dec 31, 2024 | 242.97 Mn |
| Sep 30, 2024 | 254.10 Mn |
| Jun 30, 2024 | 258.45 Mn |
| Mar 31, 2024 | 256.54 Mn |
| Dec 31, 2023 | 262.72 Mn |
| Sep 30, 2023 | 259.89 Mn |
| Jun 30, 2023 | 258.60 Mn |
| Mar 31, 2023 | 256.86 Mn |
| Dec 31, 2022 | 264.58 Mn |
| Sep 30, 2022 | 256.18 Mn |
| Jun 30, 2022 | 250.32 Mn |
| Mar 31, 2022 | 258.36 Mn |
| Dec 31, 2021 | 273.56 Mn |
| Sep 30, 2021 | 297.02 Mn |
Gartner Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=IT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=IT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();