Cgi (GIB) EPS (Basic) (2009 - 2026)
Cgi (GIB) posted EPS (Basic) of $1.51 for the quarter ended Jun 30, 2026, up 16.8% from $1.29 a year earlier and up 3.7% from the prior quarter.
Cgi (GIB) EPS (Basic) (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EPS (Basic) at Cgi was $4.39, up 10.2% year-over-year; for the year ended Sep 30, 2025, it came in at $5.41, down 0.5% from the prior year.
- Annual EPS (Basic) shows a five-year compound annual growth rate of 11.1% (years ended Sep 2020 to Sep 2025).
- In prior years, Cgi's EPS (Basic) was $5.44 in the year ended Sep 30, 2024 (+4.6%), $5.20 in the year ended Sep 30, 2023 (+10.7%), $4.70 in the year ended Sep 30, 2022 (+7.6%) and $4.37 in the year ended Sep 30, 2021 (+36.4%).
- The figure for the quarter ended Jun 30, 2026 stands as the highest quarterly EPS (Basic) since the quarter ended Jun 30, 2017.
- On a year-over-year basis, EPS (Basic) has increased in each of the last four quarters, with growth averaging 6.1% over the last eight quarters.
- The strongest year-over-year quarter for EPS (Basic) in the past five years was the quarter ended Sep 30, 2021, with growth of 52.9%; the weakest was the quarter ended Jun 30, 2025, with a decline of 6.0%.
- According to Business Quant data, EPS (Basic) for the three prior quarters was $1.46 (quarter ended Mar 31, 2026), $1.42 (quarter ended Dec 31, 2025) and $0.00 (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Basic) (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 43.52 Bn | 43.57 Bn | 1.60 Bn | 0.20 |
| 2 | Cognizant Technology Solutions | 25.96 Bn | 19.13 Bn | 1.83 Bn | 1.36 |
| 3 | Td Synnex | 20.53 Bn | 14.56 Bn | 1.34 Bn | 4.20 |
| 4 | Cdw | 16.06 Bn | 14.05 Bn | 1.32 Bn | 2.16 |
| 5 | Cgi | 15.14 Bn | 12.92 Bn | - | 1.51 |
| 6 | Arrow Electronics | 11.55 Bn | 10.58 Bn | 1.13 Bn | 5.32 |
| 7 | Avnet | 8.20 Bn | 7.38 Bn | 865.03 Mn | 1.54 |
| 8 | Ingram Micro Holding | 6.32 Bn | 1.92 Bn | 958.68 Mn | 0.48 |
| 9 | EPAM Systems | 5.59 Bn | 1.23 Bn | 429.57 Mn | 1.97 |
| 10 | Science Applications International | 5.36 Bn | 4.90 Bn | 239.00 Mn | 2.41 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.51 |
| Mar 31, 2026 | 1.46 |
| Dec 31, 2025 | 1.42 |
| Sep 30, 2025 | 0.00 |
| Jun 30, 2025 | 1.29 |
| Mar 31, 2025 | 1.31 |
| Dec 31, 2024 | 1.38 |
| Sep 30, 2024 | 0.00 |
| Jun 30, 2024 | 1.37 |
| Mar 31, 2024 | 1.35 |
| Dec 31, 2023 | 1.22 |
| Sep 30, 2023 | 0.00 |
| Jun 30, 2023 | 1.29 |
| Mar 31, 2023 | 1.30 |
| Dec 31, 2022 | 1.18 |
| Sep 30, 2022 | 0.00 |
| Jun 30, 2022 | 1.15 |
| Mar 31, 2022 | 1.18 |
| Dec 31, 2021 | 1.17 |
| Sep 30, 2021 | 0.00 |
Cgi EPS (Basic) 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=eps-basic&ticker=GIB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-basic", "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=eps-basic&ticker=GIB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();