Cgi (GIB) Price to Earnings (2009 - 2026)
Cgi's Price to Earnings came in at 14.70 for the quarter ended Jun 30, 2026, down 44.1% from 26.31 a year earlier and down 15.4% from the prior quarter.
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Analysis
Cgi (GIB) Price to Earnings (2009 - 2026) Analysis & Trends
For the year ended Sep 30, 2025, Cgi's Price to Earnings was 16.47, down 22.0% from the prior year.
- Going back by year, Price to Earnings was 21.13 in the year ended Sep 30, 2024 (+11.5%), 18.94 in the year ended Sep 30, 2023 (+18.3%), 16.01 in the year ended Sep 30, 2022 (-17.5%) and 19.41 in the year ended Sep 30, 2021 (-8.3%).
- The figure for the quarter ended Jun 30, 2026 represents the lowest quarterly Price to Earnings since the quarter ended Jun 30, 2017.
- Year-over-year, Price to Earnings has declined for four consecutive quarters, with an average decline of 14.3% over the last eight quarters.
- The fastest year-over-year change in Price to Earnings over five years came in the quarter ended Sep 30, 2023 (growth of 23.8%), and the weakest in the quarter ended Jun 30, 2026 (a decline of 44.1%).
- Business Quant data shows GIB's Price to Earnings at 17.38 (quarter ended Mar 31, 2026), 22.55 (quarter ended Dec 31, 2025) and 21.84 (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 44.69 Bn | 44.75 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 26.45 Bn | 19.61 Bn | 1.83 Bn |
| 3 | Td Synnex | 22.21 Bn | 16.36 Bn | 1.43 Bn |
| 4 | Cdw | 16.70 Bn | 14.69 Bn | 1.32 Bn |
| 5 | Cgi | 15.63 Bn | 13.41 Bn | - |
| 6 | Arrow Electronics | 12.33 Bn | 11.35 Bn | 1.13 Bn |
| 7 | Avnet | 8.78 Bn | 7.96 Bn | 865.03 Mn |
| 8 | Ingram Micro Holding | 6.70 Bn | 2.31 Bn | 958.68 Mn |
| 9 | EPAM Systems | 5.58 Bn | 1.22 Bn | 429.57 Mn |
| 10 | ExlService Holdings | 5.42 Bn | 4.17 Bn | 225.96 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.70 |
| Mar 31, 2026 | 17.38 |
| Dec 31, 2025 | 22.55 |
| Sep 30, 2025 | 21.84 |
| Jun 30, 2025 | 26.31 |
| Mar 31, 2025 | 24.34 |
| Dec 31, 2024 | 26.17 |
| Sep 30, 2024 | 28.34 |
| Jun 30, 2024 | 25.25 |
| Mar 31, 2024 | 28.34 |
| Dec 31, 2023 | 27.70 |
| Sep 30, 2023 | 25.58 |
| Jun 30, 2023 | 27.99 |
| Mar 31, 2023 | 26.23 |
| Dec 31, 2022 | 23.92 |
| Sep 30, 2022 | 20.66 |
| Jun 30, 2022 | 22.78 |
| Mar 31, 2022 | 23.10 |
| Dec 31, 2021 | 26.35 |
| Sep 30, 2021 | 26.11 |
API Access
Cgi Price to Earnings 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=price-to-earnings&ticker=GIB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=GIB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();