Cgi (GIB) Cash & Equivalents (2009 - 2026)
Cgi (GIB) reported Cash & Equivalents of $452.29 million for the quarter ended Jun 30, 2026, down 99.9% from $815.69 billion a year earlier and down 12.4% from the prior quarter.
Cgi (GIB) Cash & Equivalents (2009 - 2026) Analysis & Trends
As of Sep 30, 2025, Cgi posted Cash & Equivalents of $627.96 million, down 41.4% from the prior year.
- Cash & Equivalents has a five-year compound annual growth rate of -13.3% (years ended Sep 2020 to Sep 2025).
- By year, Cash & Equivalents came in at $1.07 billion in the year ended Sep 30, 2024 (-8.4%), $1.17 billion in the year ended Sep 30, 2023 (+57.9%), $741.03 million in the year ended Sep 30, 2022 (-45.1%) and $1.35 billion in the year ended Sep 30, 2021 (+5.3%).
- The figure for the quarter ended Jun 30, 2026 ranks as the lowest quarterly Cash & Equivalents since the quarter ended Mar 31, 2020.
- Year over year, Cash & Equivalents has now declined in each of the last four quarters, with an average decline of 28.5% over the last seven quarters.
- The high point for year-over-year Cash & Equivalents in five years was the quarter ended Jun 30, 2023 (growth of 78.8%); the low point was the quarter ended Jun 30, 2026 (a decline of 99.9%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $516.6 million (quarter ended Mar 31, 2026), $599.75 million (quarter ended Dec 31, 2025) and $627.96 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 50.24 Bn | 36.74 Bn | 1.60 Bn | 2.29 Bn |
| 2 | Cognizant Technology Solutions | 31.12 Bn | 24.28 Bn | 1.83 Bn | 1.04 Bn |
| 3 | Wipro | 20.11 Bn | 14.81 Bn | 738.00 Mn | 934.00 Mn |
| 4 | Td Synnex | 19.66 Bn | 13.82 Bn | 1.43 Bn | 749.30 Mn |
| 5 | Cdw | 19.39 Bn | 17.38 Bn | 1.32 Bn | 361.80 Mn |
| 6 | Cgi | 16.87 Bn | 14.67 Bn | - | 440.31 Mn |
| 7 | Arrow Electronics | 11.10 Bn | 10.05 Bn | 1.13 Bn | 244.63 Mn |
| 8 | Avnet | 7.54 Bn | 6.72 Bn | 865.03 Mn | 155.40 Mn |
| 9 | EPAM Systems | 6.64 Bn | 2.28 Bn | 429.57 Mn | 789.40 Mn |
| 10 | Ingram Micro Holding | 6.19 Bn | 1.79 Bn | 958.68 Mn | 808.97 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 440.31 Mn |
| Mar 31, 2026 | 508.64 Mn |
| Dec 31, 2025 | 610.72 Mn |
| Sep 30, 2025 | 621.01 Mn |
| Jun 30, 2025 | 826.10 Bn |
| Mar 31, 2025 | 768.36 Mn |
| Dec 31, 2024 | 1.26 Bn |
| Sep 30, 2024 | 1.08 Bn |
| Jun 30, 2024 | 843.40 Mn |
| Mar 31, 2024 | 935.91 Mn |
| Dec 31, 2023 | 856.16 Mn |
| Sep 30, 2023 | 1.16 Bn |
| Jun 30, 2023 | 1.11 Bn |
| Mar 31, 2023 | 947.20 Mn |
| Dec 31, 2022 | 977.59 Mn |
| Sep 30, 2022 | 706.76 Mn |
| Jun 30, 2022 | 605.14 Mn |
| Mar 31, 2022 | 846.20 Mn |
| Dec 31, 2021 | 929.54 Mn |
| Sep 30, 2021 | 1.33 Bn |
Cgi Cash & Equivalents 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=cash-and-equivalents&ticker=GIB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=GIB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();