Cgi (GIB) Other Operating Expenses (2009 - 2012)
Cgi (GIB) recorded Other Operating Expenses of $9.73 billion in the year ended Sep 30, 2025, up 8.0% from $9.01 billion a year earlier.
Analysis
Cgi (GIB) Other Operating Expenses (2009 - 2012) Analysis & Trends
Starting with the year ended Sep 30, 2009, Cgi's Other Operating Expenses history includes 12 years.
- Annual Other Operating Expenses has increased for five straight years, with a five-year compound annual growth rate of 4.3% (years ended Sep 2020 to Sep 2025).
- The figure for the year ended Sep 30, 2025 is the highest annual Other Operating Expenses in data going back to the year ended Sep 30, 2009.
- Per Business Quant data, GIB's Other Operating Expenses was $9.01 billion in the year ended Sep 30, 2024 (+0.3%), $8.98 billion in the year ended Sep 30, 2023 (+7.8%), $8.34 billion in the year ended Sep 30, 2022 (+2.1%) and $8.17 billion in the year ended Sep 30, 2021 (+3.7%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 43.52 Bn | 43.57 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 25.96 Bn | 19.13 Bn | 1.83 Bn |
| 3 | Td Synnex | 20.53 Bn | 14.56 Bn | 1.34 Bn |
| 4 | Cdw | 16.06 Bn | 14.05 Bn | 1.32 Bn |
| 5 | Cgi | 15.14 Bn | 12.92 Bn | - |
| 6 | Arrow Electronics | 11.55 Bn | 10.58 Bn | 1.13 Bn |
| 7 | Avnet | 8.20 Bn | 7.38 Bn | 865.03 Mn |
| 8 | Ingram Micro Holding | 6.32 Bn | 1.92 Bn | 958.68 Mn |
| 9 | EPAM Systems | 5.59 Bn | 1.23 Bn | 429.57 Mn |
| 10 | Science Applications International | 5.36 Bn | 4.90 Bn | 239.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2012 | 1.70 Mn |
| Sep 30, 2011 | 953.39 Mn |
| Jun 30, 2011 | 924.89 Mn |
| Mar 31, 2011 | 993.03 Mn |
| Dec 31, 2010 | 953.45 Mn |
| Sep 30, 2009 | 1.40 Mn |
| Jun 30, 2009 | 250.00 |
| Mar 31, 2009 | 250.00 |
API Access
Cgi Other 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=other-operating-expenses&ticker=GIB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "ticker": "GIB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=other-operating-expenses&ticker=GIB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();