Ibex (IBEX) Operating Expenses (2022 - 2026)
Ibex (IBEX) posted Operating Expenses of $154.45 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 14.5% from $134.88 million a year earlier and up 4.2% from the prior quarter.
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Analysis
Ibex (IBEX) Operating Expenses (2022 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Ibex's Operating Expenses came in at $589.11 million, up 15.1% from FY2025.
- Annual Operating Expenses shows a five-year compound annual growth rate of 6.7% (FY2021 to FY2026).
- In prior fiscal years, Ibex's Operating Expenses was $511.66 million in FY2025 (+9.1%), $469.14 million in FY2024 (-2.8%), $482.64 million in FY2023 (+2.2%) and $472.23 million in FY2022 (+10.8%).
- The fiscal Q4 2026 figure stands as the highest quarterly Operating Expenses in data going back to fiscal Q1 2023.
- On a year-over-year basis, Operating Expenses has increased in each of the last eight quarters, with growth averaging 12.2% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was fiscal Q4 2025, with growth of 20.8%; the weakest was fiscal Q4 2024, with a decline of 3.8%.
- According to Business Quant data, Operating Expenses for the three prior fiscal quarters was $148.25 million (Q3 2026), $148.93 million (Q2 2026) and $137.48 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 116.45 Bn | 76.86 Bn | 6.13 Bn | 15.54 Bn |
| 2 | Cintas | 80.26 Bn | 79.45 Bn | 1.48 Bn | 792.12 Mn |
| 3 | Iron Mountain | 33.05 Bn | 32.57 Bn | 1.07 Bn | 1.66 Bn |
| 4 | APi | 16.57 Bn | 13.61 Bn | 703.00 Mn | 528.00 Mn |
| 5 | Rollins | 14.72 Bn | 14.26 Bn | 569.95 Mn | 877.22 Mn |
| 6 | Aramark | 14.30 Bn | 12.32 Bn | 430.34 Mn | 4.84 Bn |
| 7 | UL Solutions | 13.09 Bn | 11.87 Bn | 417.00 Mn | 267.00 Mn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 1.30 Bn |
| 9 | Rentokil Initial | 10.36 Bn | 3.71 Bn | - | - |
| 10 | Ibex | 590.02 Mn | 503.89 Mn | 46.92 Mn | 154.45 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 154.45 Mn |
| Mar 31, 2026 | 148.25 Mn |
| Dec 31, 2025 | 148.93 Mn |
| Sep 30, 2025 | 137.48 Mn |
| Jun 30, 2025 | 134.88 Mn |
| Mar 31, 2025 | 127.41 Mn |
| Dec 31, 2024 | 128.75 Mn |
| Sep 30, 2024 | 120.63 Mn |
| Jun 30, 2024 | 111.66 Mn |
| Mar 31, 2024 | 115.51 Mn |
| Dec 31, 2023 | 125.69 Mn |
| Sep 30, 2023 | 116.28 Mn |
| Jun 30, 2023 | 116.13 Mn |
| Mar 31, 2023 | 118.51 Mn |
| Dec 31, 2022 | 127.87 Mn |
| Sep 30, 2022 | 120.14 Mn |
API Access
Ibex Operating 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=operating-expenses&ticker=IBEX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=IBEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();