Information Services (III) Property, Plant & Equipment (Net) (2010 - 2026)
Information Services' Property, Plant & Equipment (Net) was $6.67 million in Q2 2026, up 5.6% from $6.32 million a year earlier but down 3.9% from the prior quarter.
Information Services (III) Property, Plant & Equipment (Net) (2010 - 2026) Analysis & Trends
At the end of FY2025, Property, Plant & Equipment (Net) at Information Services came in at $6.6 million, up 6.5% from FY2024.
- Property, Plant & Equipment (Net) shows a five-year compound annual growth rate of 5.7% (FY2020 to FY2025).
- In earlier years, Property, Plant & Equipment (Net) was $6.2 million in FY2024 (-3.9%), $6.45 million in FY2023 (+8.7%), $5.93 million in FY2022 (+12.0%) and $5.29 million in FY2021 (+5.8%).
- Quarterly Property, Plant & Equipment (Net) has moved between $5.17 million (Q3 2021) and $6.94 million (Q1 2026) over five years.
- Compared with a year earlier, Property, Plant & Equipment (Net) has increased for four straight quarters, with growth averaging 4.2% over the last eight quarters.
- The best year-over-year quarter for Property, Plant & Equipment (Net) over five years was Q1 2022 (growth of 29.7%); the worst was Q2 2023 (a decline of 13.9%).
- Per Business Quant data, III's Property, Plant & Equipment (Net) in the three quarters before Q2 2026 was $6.94 million (Q1 2026), $6.6 million (Q4 2025) and $6.94 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 | Information Services | 275.70 Mn | 171.93 Mn | 31.97 Mn | 6.67 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.67 Mn |
| Mar 31, 2026 | 6.94 Mn |
| Dec 31, 2025 | 6.60 Mn |
| Sep 30, 2025 | 6.94 Mn |
| Jun 30, 2025 | 6.32 Mn |
| Mar 31, 2025 | 6.41 Mn |
| Dec 31, 2024 | 6.20 Mn |
| Sep 30, 2024 | 6.26 Mn |
| Jun 30, 2024 | 6.56 Mn |
| Mar 31, 2024 | 6.80 Mn |
| Dec 31, 2023 | 6.45 Mn |
| Sep 30, 2023 | 5.42 Mn |
| Jun 30, 2023 | 5.18 Mn |
| Mar 31, 2023 | 5.56 Mn |
| Dec 31, 2022 | 5.93 Mn |
| Sep 30, 2022 | 5.74 Mn |
| Jun 30, 2022 | 6.01 Mn |
| Mar 31, 2022 | 6.31 Mn |
| Dec 31, 2021 | 5.29 Mn |
| Sep 30, 2021 | 5.17 Mn |
Information Services 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=III&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "III", "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=III&period=max&api_key=YOUR_API_KEY");
const data = await res.json();