X3 Holdings (XTKGF) Operating Leases (2022 - 2025)
X3 Holdings (XTKGF) reported Operating Leases of $237,174 for the quarter ended Dec 31, 2025, up 61.4% from $146,932 a year earlier.
Analysis
X3 Holdings (XTKGF) Operating Leases (2022 - 2025) Analysis & Trends
Dating back to the quarter ended Jun 30, 2022, X3 Holdings' Operating Leases record includes 8 quarters.
- Operating Leases has increased for three consecutive years, with a three-year compound annual growth rate of 32.5% (years ended Dec 2022 to Dec 2025).
- By year, Operating Leases came in at $146,932 in the year ended Dec 31, 2024 (+33.6%), $109,956 in the year ended Dec 31, 2023 (+7.8%) and $101,992 in the year ended Dec 31, 2022.
- Five-year quarterly Operating Leases spans a low of $43,838 in the quarter ended Jun 30, 2022 and a high of $366,065 in the quarter ended Jun 30, 2025.
- Year over year, Operating Leases gained in three of the last four quarters, with growth averaging 59.7%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 50.24 Bn | 36.74 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 31.12 Bn | 24.28 Bn | 1.83 Bn |
| 3 | Wipro | 20.11 Bn | 14.81 Bn | 738.00 Mn |
| 4 | Td Synnex | 19.66 Bn | 13.82 Bn | 1.43 Bn |
| 5 | Cdw | 19.39 Bn | 17.38 Bn | 1.32 Bn |
| 6 | Cgi | 16.87 Bn | 14.67 Bn | - |
| 7 | Arrow Electronics | 11.10 Bn | 10.05 Bn | 1.13 Bn |
| 8 | Avnet | 7.54 Bn | 6.72 Bn | 865.03 Mn |
| 9 | EPAM Systems | 6.64 Bn | 2.28 Bn | 429.57 Mn |
| 10 | X3 Holdings | 307,431.87 | -5.69 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 237,174.00 |
| Jun 30, 2025 | 366,065.00 |
| Dec 31, 2024 | 146,932.00 |
| Jun 30, 2024 | 139,820.00 |
| Dec 31, 2023 | 109,956.00 |
| Jun 30, 2023 | 170,553.00 |
| Dec 31, 2022 | 101,992.00 |
| Jun 30, 2022 | 43,838.00 |
API Access
X3 Holdings Operating Leases 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=operating-leases&ticker=XTKGF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "ticker": "XTKGF", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-leases&ticker=XTKGF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();