Cgi (GIB) EPS (Diluted) (2009 - 2026)
Cgi (GIB) recorded EPS (Diluted) of $1.49 in the quarter ended Jun 30, 2026, up 17.2% from $1.27 a year earlier and up 3.7% from the prior quarter.
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Analysis
Cgi (GIB) EPS (Diluted) (2009 - 2026) Analysis & Trends
On a TTM basis, Cgi's EPS (Diluted) came in at $4.34 as of Jun 30, 2026, up 10.6% year-over-year; for the year ended Sep 30, 2025, it came in at $5.34, down 0.2% from the prior year.
- Annual EPS (Diluted) has a five-year compound annual growth rate of 11.1% (years ended Sep 2020 to Sep 2025).
- Across earlier years, EPS (Diluted) came in at $5.36 in the year ended Sep 30, 2024 (+4.6%), $5.12 in the year ended Sep 30, 2023 (+10.6%), $4.63 in the year ended Sep 30, 2022 (+7.7%) and $4.30 in the year ended Sep 30, 2021 (+36.3%).
- The figure for the quarter ended Jun 30, 2026 is the highest quarterly EPS (Diluted) in data going back to the quarter ended Mar 31, 2009.
- On a year-over-year basis, EPS (Diluted) has increased for four consecutive quarters, with growth averaging 6.3% over the last eight quarters.
- Peak year-over-year performance for EPS (Diluted) in the last five years was growth of 52.8% in the quarter ended Sep 30, 2021, against a decline of 6.0% in the quarter ended Jun 30, 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.44 (quarter ended Mar 31, 2026), $1.41 (quarter ended Dec 31, 2025) and $0.00 (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 52.03 Bn | 38.53 Bn | 1.60 Bn | 18.86 |
| 2 | Cognizant Technology Solutions | 31.75 Bn | 24.91 Bn | 1.83 Bn | 1.36 |
| 3 | Wipro | 21.48 Bn | 16.18 Bn | 738.00 Mn | 0.03 |
| 4 | Cdw | 19.70 Bn | 17.69 Bn | 1.32 Bn | 2.15 |
| 5 | Td Synnex | 19.65 Bn | 13.81 Bn | 1.43 Bn | 5.24 |
| 6 | Cgi | 17.59 Bn | 15.39 Bn | - | 1.49 |
| 7 | Arrow Electronics | 11.05 Bn | 10.00 Bn | 1.13 Bn | 5.26 |
| 8 | Avnet | 7.49 Bn | 6.67 Bn | 865.03 Mn | 1.52 |
| 9 | EPAM Systems | 6.82 Bn | 2.46 Bn | 429.57 Mn | 1.97 |
| 10 | Ingram Micro Holding | 6.25 Bn | 1.85 Bn | 958.68 Mn | 0.48 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.49 |
| Mar 31, 2026 | 1.44 |
| Dec 31, 2025 | 1.41 |
| Sep 30, 2025 | 0.00 |
| Jun 30, 2025 | 0.00 |
| Mar 31, 2025 | 0.00 |
| Dec 31, 2024 | 1.46 |
| Sep 30, 2024 | 0.00 |
| Jun 30, 2024 | 0.00 |
| Mar 31, 2024 | 0.00 |
| Dec 31, 2023 | 1.20 |
| Sep 30, 2023 | 0.00 |
| Jun 30, 2023 | 1.27 |
| Mar 31, 2023 | 1.28 |
| Dec 31, 2022 | 1.16 |
| Sep 30, 2022 | 0.00 |
| Jun 30, 2022 | 1.13 |
| Mar 31, 2022 | 1.16 |
| Dec 31, 2021 | 1.15 |
| Sep 30, 2021 | 0.00 |
API Access
Cgi EPS (Diluted) 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-diluted&ticker=GIB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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-diluted&ticker=GIB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();