Ibex (IBEX) Cost of Revenue (2022 - 2026)
Ibex (IBEX) posted Cost of Revenue of $117.35 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 16.3% from $100.87 million a year earlier and up 1.5% from the prior quarter.
Ibex (IBEX) Cost of Revenue (2022 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Ibex's Cost of Revenue came in at $456.17 million, up 18.3% from FY2025.
- Annual Cost of Revenue shows a five-year compound annual growth rate of 6.4% (FY2021 to FY2026).
- In prior fiscal years, Ibex's Cost of Revenue was $385.69 million in FY2025 (+8.2%), $356.54 million in FY2024 (-4.9%), $374.99 million in FY2023 (+0.3%) and $373.97 million in FY2022 (+11.6%).
- The fiscal Q4 2026 figure stands as the highest quarterly Cost of Revenue in data going back to fiscal Q1 2023.
- On a year-over-year basis, Cost of Revenue has increased in each of the last eight quarters, with growth averaging 13.3% over the last eight quarters.
- The strongest year-over-year quarter for Cost of Revenue in the past five years was fiscal Q3 2026, with growth of 20.4%; the weakest was fiscal Q1 2024, with a decline of 8.3%.
- According to Business Quant data, Cost of Revenue for the three prior fiscal quarters was $115.61 million (Q3 2026), $116.63 million (Q2 2026) and $106.58 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn | 12.58 Bn |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn | 1.42 Bn |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn | 958.61 Mn |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn | 1.55 Bn |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn | 4.63 Bn |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn | 508.63 Mn |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn | 399.00 Mn |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn | 486.91 Mn |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - | - |
| 10 | Ibex | 580.03 Mn | 493.91 Mn | 46.92 Mn | 117.35 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 117.35 Mn |
| Mar 31, 2026 | 115.61 Mn |
| Dec 31, 2025 | 116.63 Mn |
| Sep 30, 2025 | 106.58 Mn |
| Jun 30, 2025 | 100.87 Mn |
| Mar 31, 2025 | 96.02 Mn |
| Dec 31, 2024 | 98.76 Mn |
| Sep 30, 2024 | 90.04 Mn |
| Jun 30, 2024 | 85.37 Mn |
| Mar 31, 2024 | 87.08 Mn |
| Dec 31, 2023 | 95.88 Mn |
| Sep 30, 2023 | 88.20 Mn |
| Jun 30, 2023 | 87.36 Mn |
| Mar 31, 2023 | 91.69 Mn |
| Dec 31, 2022 | 99.79 Mn |
| Sep 30, 2022 | 96.15 Mn |
Ibex Cost of Revenue 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=cost-of-revenue&ticker=IBEX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=IBEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();