Cgi (GIB) Enterprise Value (2009 - 2026)
Cgi's Enterprise Value was $13.92 billion in the quarter ended Jun 30, 2026, compared with -$791.78 billion a year earlier and down 11.7% from the prior quarter.
Cgi (GIB) Enterprise Value (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Cgi's Enterprise Value was $12.16 billion through Jun 30, 2026; for the year ended Sep 30, 2025, it was $19.22 billion, down 23.6% from the prior year.
- Enterprise Value shows a five-year compound annual growth rate of 3.1% (years ended Sep 2020 to Sep 2025).
- In earlier years, Enterprise Value was $25.14 billion in the year ended Sep 30, 2024 (+15.3%), $21.8 billion in the year ended Sep 30, 2023 (+26.5%), $17.24 billion in the year ended Sep 30, 2022 (-12.7%) and $19.75 billion in the year ended Sep 30, 2021 (+20.0%).
- Quarterly Enterprise Value has moved between -$791.78 billion (the quarter ended Jun 30, 2025) and $25.14 billion (the quarter ended Sep 30, 2024) over five years.
- Compared with a year earlier, Enterprise Value was higher in 1 of the last six quarters, with an average decline of 11.1%.
- The best year-over-year quarter for Enterprise Value over five years was the quarter ended Sep 30, 2023 (growth of 26.5%); the worst was the quarter ended Mar 31, 2026 (a decline of 28.4%).
- Per Business Quant data, GIB's Enterprise Value in the three quarters before the quarter ended Jun 30, 2026 was $15.76 billion (quarter ended Mar 31, 2026), $19.95 billion (quarter ended Dec 31, 2025) and $19.22 billion (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 51.99 Bn | 38.48 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 32.06 Bn | 25.23 Bn | 1.83 Bn |
| 3 | Wipro | 21.58 Bn | 16.28 Bn | 738.00 Mn |
| 4 | Td Synnex | 19.95 Bn | 14.11 Bn | 1.43 Bn |
| 5 | Cdw | 19.91 Bn | 17.90 Bn | 1.32 Bn |
| 6 | Cgi | 17.64 Bn | 15.44 Bn | - |
| 7 | Arrow Electronics | 11.22 Bn | 10.17 Bn | 1.13 Bn |
| 8 | Avnet | 7.56 Bn | 6.74 Bn | 865.03 Mn |
| 9 | EPAM Systems | 6.89 Bn | 2.53 Bn | 429.57 Mn |
| 10 | Ingram Micro Holding | 6.33 Bn | 1.94 Bn | 958.68 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.93 Bn |
| Mar 31, 2026 | 15.76 Bn |
| Dec 31, 2025 | 19.94 Bn |
| Sep 30, 2025 | 19.22 Bn |
| Jun 30, 2025 | -802.20 Bn |
| Mar 31, 2025 | 21.98 Bn |
| Dec 31, 2024 | 23.67 Bn |
| Sep 30, 2024 | 25.13 Bn |
| Jun 30, 2024 | 22.48 Bn |
| Mar 31, 2024 | 24.89 Bn |
| Dec 31, 2023 | 24.20 Bn |
| Sep 30, 2023 | 21.81 Bn |
| Jun 30, 2023 | 24.08 Bn |
| Mar 31, 2023 | 22.04 Bn |
| Dec 31, 2022 | 19.58 Bn |
| Sep 30, 2022 | 17.27 Bn |
| Jun 30, 2022 | 19.22 Bn |
| Mar 31, 2022 | 19.02 Bn |
| Dec 31, 2021 | 21.10 Bn |
| Sep 30, 2021 | 19.77 Bn |
Cgi Enterprise Value 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=enterprise-value&ticker=GIB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=GIB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();