Ibex (IBEX) Accumulated Expenses (2025)
Ibex's Accumulated Expenses was $900,000 in fiscal Q2 2026 (quarter ended Dec 31, 2025).
Analysis
Ibex (IBEX) Accumulated Expenses (2025) Analysis & Trends
At the end of FY2025 (ended Jun 30, 2025), Accumulated Expenses at Ibex came in at $300,000.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 157.24 Bn | 115.17 Bn | 5.98 Bn |
| 2 | Cintas | 89.20 Bn | 88.28 Bn | 1.55 Bn |
| 3 | Iron Mountain | 33.68 Bn | 32.88 Bn | 1.06 Bn |
| 4 | APi | 18.36 Bn | 15.58 Bn | 770.00 Mn |
| 5 | Rollins | 18.31 Bn | 17.86 Bn | 582.90 Mn |
| 6 | UL Solutions | 16.44 Bn | 14.43 Bn | 423.00 Mn |
| 7 | Aramark | 14.35 Bn | 12.30 Bn | 430.34 Mn |
| 8 | Gartner | 12.03 Bn | 5.52 Bn | 1.07 Bn |
| 9 | Rentokil Initial | 11.95 Bn | 5.46 Bn | - |
| 10 | Ibex | 672.11 Mn | 571.98 Mn | 53.26 Mn |
API Access
Ibex Accumulated Expenses 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=accumulated-expenses&ticker=IBEX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "IBEX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=IBEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();