Concorde International (CIGL) Cash & Equivalents (2023 - 2025)
Concorde International's Cash & Equivalents was $1.63 million in the quarter ended Dec 31, 2025, up 62.9% from $1 million a year earlier.
Concorde International (CIGL) Cash & Equivalents (2023 - 2025) Analysis & Trends
From the quarter ended Dec 31, 2023 onward, Concorde International has reported Cash & Equivalents for 4 quarters.
- Cash & Equivalents shows a three-year compound annual growth rate of 54.6% (years ended Dec 2022 to Dec 2025).
- In earlier years, Cash & Equivalents was $631.7 billion in the year ended Dec 31, 2024, $956,975 in the year ended Dec 31, 2023 (+116.9%) and $441,278 in the year ended Dec 31, 2022.
- Quarterly Cash & Equivalents has moved between $956,975 (the quarter ended Dec 31, 2023) and $2.36 million (the quarter ended Jun 30, 2025) over five years.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 172.71 Bn | 133.12 Bn | 6.13 Bn | 10.17 Bn |
| 2 | Cintas | 89.51 Bn | 88.59 Bn | 1.55 Bn | 243.60 Mn |
| 3 | Iron Mountain | 32.96 Bn | 32.48 Bn | 1.07 Bn | 204.79 Mn |
| 4 | Rollins | 16.86 Bn | 16.41 Bn | 582.90 Mn | 129.05 Mn |
| 5 | APi | 16.77 Bn | 13.80 Bn | 703.00 Mn | 851.00 Mn |
| 6 | UL Solutions | 14.87 Bn | 13.66 Bn | 417.00 Mn | 434.00 Mn |
| 7 | Gartner | 14.80 Bn | 8.50 Bn | 1.19 Bn | 1.49 Bn |
| 8 | Aramark | 13.84 Bn | 11.86 Bn | 430.34 Mn | 499.43 Mn |
| 9 | Rentokil Initial | 11.56 Bn | 5.07 Bn | - | 2.47 Bn |
| 10 | Concorde International | 4.27 Mn | -2.45 Mn | - | 1.63 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 1.63 Mn |
| Jun 30, 2025 | 2.36 Mn |
| Dec 31, 2024 | 1.00 Mn |
| Dec 31, 2023 | 956,975.00 |
Concorde International Cash & Equivalents 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=cash-and-equivalents&ticker=CIGL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=CIGL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();