Cgi (GIB) Shares Outstanding (2009 - 2026)
Cgi's Weighted Average Shares Outstanding was 222.69 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 2.4% from 228.07 million a year earlier and unchanged from the prior quarter.
Cgi (GIB) Shares Outstanding (2009 - 2026) Analysis & Trends
From fiscal Q2 2009 onward, Cgi has reported Weighted Average Shares Outstanding for 70 quarters.
- Weighted Average Shares Outstanding has now declined for eight consecutive fiscal years, with a five-year compound annual growth rate of -3.2% (FY2020 to FY2025).
- In earlier fiscal years, Weighted Average Shares Outstanding was 228.07 million in FY2024 (-2.5%), 234.04 million in FY2023 (-2.2%), 239.26 million in FY2022 (-4.0%) and 249.12 million in FY2021 (-4.9%).
- Quarterly Weighted Average Shares Outstanding has moved between 222.69 million (fiscal Q4 2025) and 249.12 million (fiscal Q3 2022) over five years.
- Compared with a year earlier, Weighted Average Shares Outstanding has declined for 32 straight quarters, with an average decline of 2.5% over the last eight quarters.
- Over the past five years, the year-over-year decline in Weighted Average Shares Outstanding ranged from 2.2% (fiscal Q3 2024) to 4.9% (fiscal Q4 2021).
- Per Business Quant data, GIB's Weighted Average Shares Outstanding in the three fiscal quarters before Q3 2026 was 222.69 million (Q2 2026), 222.69 million (Q1 2026) and 222.69 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 51.06 Bn | 16.35 Bn | 1.60 Bn | 4.11 Bn |
| 2 | Cognizant Technology Solutions | 29.12 Bn | 23.09 Bn | 1.91 Bn | 450.00 Mn |
| 3 | Cdw | 21.17 Bn | 18.07 Bn | 1.39 Bn | 125.10 Mn |
| 4 | Td Synnex | 18.55 Bn | 12.71 Bn | 1.43 Bn | 79.21 Mn |
| 5 | Cgi | 18.36 Bn | 16.16 Bn | - | 222.69 Mn |
| 6 | Arrow Electronics | 9.82 Bn | 8.84 Bn | 1.16 Bn | 50.95 Mn |
| 7 | EPAM Systems | 8.35 Bn | 4.26 Bn | 445.94 Mn | 51.43 Mn |
| 8 | Avnet | 7.00 Bn | 6.12 Bn | 1.07 Bn | 82.27 Mn |
| 9 | ExlService Holdings | 6.69 Bn | 5.49 Bn | 241.14 Mn | 151.78 Mn |
| 10 | Ingram Micro Holding | 6.46 Bn | 1.87 Bn | 996.93 Mn | 231.04 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 222.69 Mn |
| Mar 31, 2026 | 222.69 Mn |
| Dec 31, 2025 | 222.69 Mn |
| Sep 30, 2025 | 222.69 Mn |
| Jun 30, 2025 | 228.07 Mn |
| Mar 31, 2025 | 228.07 Mn |
| Dec 31, 2024 | 228.07 Mn |
| Sep 30, 2024 | 228.07 Mn |
| Jun 30, 2024 | 234.04 Mn |
| Mar 31, 2024 | 234.04 Mn |
| Dec 31, 2023 | 234.04 Mn |
| Sep 30, 2023 | 234.04 Mn |
| Jun 30, 2023 | 239.26 Mn |
| Mar 31, 2023 | 239.26 Mn |
| Dec 31, 2022 | 239.26 Mn |
| Sep 30, 2022 | 239.26 Mn |
| Jun 30, 2022 | 249.12 Mn |
| Mar 31, 2022 | 249.12 Mn |
| Dec 31, 2021 | 249.12 Mn |
| Sep 30, 2021 | 249.12 Mn |
Cgi Shares Outstanding 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=shares-outstanding&ticker=GIB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=GIB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();