Concorde International (CIGL) Property, Plant & Equipment (Net) (2023 - 2025)
Concorde International's Property, Plant & Equipment (Net) came in at $3.63 million for the quarter ended Dec 31, 2025, down 2.5% from $3.72 million a year earlier.
Concorde International (CIGL) Property, Plant & Equipment (Net) (2023 - 2025) Analysis & Trends
Going back to the quarter ended Dec 31, 2023, Concorde International's Property, Plant & Equipment (Net) data covers 4 quarters.
- Property, Plant & Equipment (Net) carries a three-year compound annual growth rate of 8.1% (years ended Dec 2022 to Dec 2025).
- Going back by year, Property, Plant & Equipment (Net) was $3.72 million in the year ended Dec 31, 2024 (+28.1%), $2.9 million in the year ended Dec 31, 2023 (+1.2%) and $2.87 million in the year ended Dec 31, 2022.
- The figure for the quarter ended Dec 31, 2025 represents the lowest quarterly Property, Plant & Equipment (Net) since the quarter ended Dec 31, 2023.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 166.50 Bn | 126.90 Bn | 6.13 Bn | 1.62 Bn |
| 2 | Cintas | 89.53 Bn | 88.62 Bn | 1.55 Bn | 1.77 Bn |
| 3 | Iron Mountain | 32.72 Bn | 32.24 Bn | 1.07 Bn | 10.27 Bn |
| 4 | APi | 17.05 Bn | 14.09 Bn | 703.00 Mn | 429.00 Mn |
| 5 | Rollins | 16.64 Bn | 16.18 Bn | 582.90 Mn | 111.03 Mn |
| 6 | UL Solutions | 14.83 Bn | 13.61 Bn | 417.00 Mn | 766.00 Mn |
| 7 | Gartner | 14.54 Bn | 8.23 Bn | 1.19 Bn | 199.25 Mn |
| 8 | Aramark | 13.86 Bn | 11.87 Bn | 430.34 Mn | 1.74 Bn |
| 9 | Rentokil Initial | 11.50 Bn | 5.01 Bn | - | 443.00 Mn |
| 10 | Concorde International | 4.27 Mn | -2.45 Mn | - | 3.63 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 3.63 Mn |
| Jun 30, 2025 | 3.99 Mn |
| Dec 31, 2024 | 3.72 Mn |
| Dec 31, 2023 | 2.90 Mn |
Concorde International 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=CIGL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "CIGL", "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=CIGL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();