Cgi (GIB) Cash & Equivalents (2009 - 2026)
Cgi (GIB) reported Cash & Equivalents of $440.31 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 46.7% from $826.1 million a year earlier and down 13.4% from the prior quarter.
Cgi (GIB) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Cgi posted Cash & Equivalents of $621.01 million, down 42.6% from FY2024.
- Cash & Equivalents has a five-year compound annual growth rate of -13.4% (FY2020 to FY2025).
- By fiscal year, Cash & Equivalents came in at $1.08 billion in FY2024 (-7.0%), $1.16 billion in FY2023 (+64.5%), $706.76 million in FY2022 (-47.0%) and $1.33 billion in FY2021 (+4.4%).
- The fiscal Q3 2026 figure ranks as the lowest quarterly Cash & Equivalents since fiscal Q2 2020.
- Year over year, Cash & Equivalents has now declined in each of the last six quarters, with an average decline of 19.3% over the last eight quarters.
- The high point for year-over-year Cash & Equivalents in five years was fiscal Q3 2023 (growth of 83.2%); the low point was fiscal Q1 2026 (a decline of 51.3%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $508.64 million (Q2 2026), $610.72 million (Q1 2026) and $621.01 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 51.35 Bn | -77.91 Bn | 1.60 Bn | - |
| 2 | Cognizant Technology Solutions | 30.16 Bn | 24.12 Bn | 1.91 Bn | 1.52 Bn |
| 3 | Wipro | 22.58 Bn | 17.72 Bn | 745.00 Mn | 992.00 Mn |
| 4 | Cdw | 19.64 Bn | 16.54 Bn | 1.39 Bn | 1.54 Bn |
| 5 | Cgi | 18.54 Bn | 16.34 Bn | - | 440.31 Mn |
| 6 | Td Synnex | 17.34 Bn | 11.50 Bn | 1.43 Bn | 749.30 Mn |
| 7 | Arrow Electronics | 9.29 Bn | 8.24 Bn | 1.13 Bn | 244.63 Mn |
| 8 | EPAM Systems | 8.17 Bn | 4.08 Bn | 445.94 Mn | 965.17 Mn |
| 9 | ExlService Holdings | 6.55 Bn | 5.35 Bn | 241.14 Mn | 154.07 Mn |
| 10 | Avnet | 6.53 Bn | 5.71 Bn | 865.03 Mn | 155.40 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 Mn |
| 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();