Cgi (GIB) Retained Earnings (2009 - 2026)
Cgi's Retained Earnings came in at $5.34 billion for the quarter ended Jun 30, 2026, down 1.9% from $5.45 billion a year earlier and down 0.2% from the prior quarter.
Cgi (GIB) Retained Earnings (2009 - 2026) Analysis & Trends
As of Sep 30, 2025, Cgi's Retained Earnings was $5.4 billion, up 3.3% from the prior year.
- Retained Earnings has increased in each of the last eight years, with a five-year compound annual growth rate of 8.9% (years ended Sep 2020 to Sep 2025).
- Going back by year, Retained Earnings was $5.23 billion in the year ended Sep 30, 2024 (+10.7%), $4.72 billion in the year ended Sep 30, 2023 (+13.5%), $4.16 billion in the year ended Sep 30, 2022 (+10.6%) and $3.76 billion in the year ended Sep 30, 2021 (+6.5%).
- The five-year range for quarterly Retained Earnings is $3.76 billion (the quarter ended Sep 30, 2021) to $5.45 billion (the quarter ended Jun 30, 2025).
- Year-over-year, Retained Earnings increased in six of the last eight quarters, with growth averaging 4.6%.
- The fastest year-over-year change in Retained Earnings over five years came in the quarter ended Mar 31, 2024 (growth of 15.9%), and the weakest in the quarter ended Jun 30, 2026 (a decline of 1.9%).
- Business Quant data shows GIB's Retained Earnings at $5.35 billion (quarter ended Mar 31, 2026), $5.23 billion (quarter ended Dec 31, 2025) and $5.4 billion (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 43.52 Bn | 43.57 Bn | 1.60 Bn | 13.44 Bn |
| 2 | Cognizant Technology Solutions | 25.96 Bn | 19.13 Bn | 1.83 Bn | 14.65 Bn |
| 3 | Td Synnex | 20.53 Bn | 14.56 Bn | 1.34 Bn | 4.02 Bn |
| 4 | Cdw | 16.06 Bn | 14.05 Bn | 1.32 Bn | -1.49 Bn |
| 5 | Cgi | 15.14 Bn | 12.92 Bn | - | 5.34 Bn |
| 6 | Arrow Electronics | 11.55 Bn | 10.58 Bn | 1.13 Bn | 7.06 Bn |
| 7 | Avnet | 8.20 Bn | 7.38 Bn | 865.03 Mn | 3.51 Bn |
| 8 | Ingram Micro Holding | 6.32 Bn | 1.92 Bn | 958.68 Mn | 1.75 Bn |
| 9 | EPAM Systems | 5.59 Bn | 1.23 Bn | 429.57 Mn | 2.04 Bn |
| 10 | Science Applications International | 5.36 Bn | 4.90 Bn | 239.00 Mn | 1.43 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.34 Bn |
| Mar 31, 2026 | 5.35 Bn |
| Dec 31, 2025 | 5.23 Bn |
| Sep 30, 2025 | 5.40 Bn |
| Jun 30, 2025 | 5.45 Bn |
| Mar 31, 2025 | 5.18 Bn |
| Dec 31, 2024 | 5.28 Bn |
| Sep 30, 2024 | 5.23 Bn |
| Jun 30, 2024 | 4.93 Bn |
| Mar 31, 2024 | 5.03 Bn |
| Dec 31, 2023 | 4.86 Bn |
| Sep 30, 2023 | 4.72 Bn |
| Jun 30, 2023 | 4.64 Bn |
| Mar 31, 2023 | 4.34 Bn |
| Dec 31, 2022 | 4.28 Bn |
| Sep 30, 2022 | 4.16 Bn |
| Jun 30, 2022 | 4.07 Bn |
| Mar 31, 2022 | 3.89 Bn |
| Dec 31, 2021 | 3.86 Bn |
| Sep 30, 2021 | 3.76 Bn |
Cgi Retained 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=retained-earnings&ticker=GIB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-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=retained-earnings&ticker=GIB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();