Cgi (GIB) Goodwill & Intangibles (2009 - 2026)
Cgi's Goodwill & Intangibles was $9.21 billion in the quarter ended Jun 30, 2026, up 4.8% from $8.8 billion a year earlier and up 0.6% from the prior quarter.
Cgi (GIB) Goodwill & Intangibles (2009 - 2026) Analysis & Trends
As of Sep 30, 2025, Goodwill & Intangibles at Cgi came in at $9.18 billion, up 22.9% from the prior year.
- Goodwill & Intangibles shows a five-year compound annual growth rate of 6.6% (years ended Sep 2020 to Sep 2025).
- In earlier years, Goodwill & Intangibles was $7.47 billion in the year ended Sep 30, 2024 (+7.1%), $6.97 billion in the year ended Sep 30, 2023 (unchanged), $6.98 billion in the year ended Sep 30, 2022 (+1.6%) and $6.87 billion in the year ended Sep 30, 2021 (+2.8%).
- The figure for the quarter ended Jun 30, 2026 marks the highest quarterly Goodwill & Intangibles in data going back to the quarter ended Mar 31, 2009.
- Compared with a year earlier, Goodwill & Intangibles has increased for ten straight quarters, with growth averaging 14.7% over the last eight quarters.
- The best year-over-year quarter for Goodwill & Intangibles over five years was the quarter ended Jun 30, 2025 (growth of 26.0%); the worst was the quarter ended Jun 30, 2023 (a decline of 1.5%).
- Per Business Quant data, GIB's Goodwill & Intangibles in the three quarters before the quarter ended Jun 30, 2026 was $9.16 billion (quarter ended Mar 31, 2026), $8.99 billion (quarter ended Dec 31, 2025) and $9.18 billion (quarter ended Sep 30, 2025).
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 | Ingram Micro Holding | 6.19 Bn | 1.79 Bn | 958.68 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.97 Bn |
| Mar 31, 2026 | 9.02 Bn |
| Dec 31, 2025 | 9.16 Bn |
| Sep 30, 2025 | 9.08 Bn |
| Jun 30, 2025 | 8.91 Bn |
| Mar 31, 2025 | 8.58 Bn |
| Dec 31, 2024 | 7.41 Bn |
| Sep 30, 2024 | 7.54 Bn |
| Jun 30, 2024 | 6.97 Bn |
| Mar 31, 2024 | 7.00 Bn |
| Dec 31, 2023 | 7.14 Bn |
| Sep 30, 2023 | 6.93 Bn |
| Jun 30, 2023 | 7.03 Bn |
| Mar 31, 2023 | 7.01 Bn |
| Dec 31, 2022 | 6.95 Bn |
| Sep 30, 2022 | 6.65 Bn |
| Jun 30, 2022 | 6.97 Bn |
| Mar 31, 2022 | 6.88 Bn |
| Dec 31, 2021 | 6.88 Bn |
| Sep 30, 2021 | 6.78 Bn |
Cgi Goodwill & Intangibles 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=goodwill-and-intangibles&ticker=GIB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-intangibles", "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=goodwill-and-intangibles&ticker=GIB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();