Cgi (GIB) Prepaid Assets (2009 - 2026)
Cgi's Prepaid Assets was $153.19 million in the quarter ended Jun 30, 2026, up 601.7% from $21.83 million a year earlier and up 5.3% from the prior quarter.
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Analysis
Cgi (GIB) Prepaid Assets (2009 - 2026) Analysis & Trends
As of Sep 30, 2025, Prepaid Assets at Cgi came in at $140.89 million, down 9.0% from the prior year.
- Prepaid Assets shows a five-year compound annual growth rate of 3.2% (years ended Sep 2020 to Sep 2025).
- In earlier years, Prepaid Assets was $154.88 million in the year ended Sep 30, 2024 (+4.7%), $147.98 million in the year ended Sep 30, 2023 (+1.9%), $145.2 million in the year ended Sep 30, 2022 (+6.0%) and $136.93 million in the year ended Sep 30, 2021 (+13.8%).
- The figure for the quarter ended Jun 30, 2026 marks the highest quarterly Prepaid Assets since the quarter ended Sep 30, 2024.
- Compared with a year earlier, Prepaid Assets has increased for three straight quarters, with growth averaging 265.3% over the last seven quarters.
- The best year-over-year quarter for Prepaid Assets over five years was the quarter ended Mar 31, 2026 (growth of 748.7%); the worst was the quarter ended Dec 31, 2022 (a decline of 23.7%).
- Per Business Quant data, GIB's Prepaid Assets in the three quarters before the quarter ended Jun 30, 2026 was $145.47 million (quarter ended Mar 31, 2026), $132.55 million (quarter ended Dec 31, 2025) and $140.89 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 43.52 Bn | 43.57 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 25.96 Bn | 19.13 Bn | 1.83 Bn |
| 3 | Td Synnex | 20.53 Bn | 14.56 Bn | 1.34 Bn |
| 4 | Cdw | 16.06 Bn | 14.05 Bn | 1.32 Bn |
| 5 | Cgi | 15.14 Bn | 12.92 Bn | - |
| 6 | Arrow Electronics | 11.55 Bn | 10.58 Bn | 1.13 Bn |
| 7 | Avnet | 8.20 Bn | 7.38 Bn | 865.03 Mn |
| 8 | Ingram Micro Holding | 6.32 Bn | 1.92 Bn | 958.68 Mn |
| 9 | EPAM Systems | 5.59 Bn | 1.23 Bn | 429.57 Mn |
| 10 | Science Applications International | 5.36 Bn | 4.90 Bn | 239.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 153.19 Mn |
| Mar 31, 2026 | 145.47 Mn |
| Dec 31, 2025 | 132.55 Mn |
| Sep 30, 2025 | 140.89 Mn |
| Jun 30, 2025 | 21.83 Mn |
| Mar 31, 2025 | 17.14 Mn |
| Dec 31, 2024 | 23.03 Mn |
| Sep 30, 2024 | 154.88 Mn |
| Jun 30, 2024 | -16.90 Mn |
| Mar 31, 2024 | 12.40 Mn |
| Dec 31, 2023 | 23.69 Mn |
| Sep 30, 2023 | 147.98 Mn |
| Jun 30, 2023 | 3.05 Mn |
| Mar 31, 2023 | 5.54 Mn |
| Dec 31, 2022 | 6.24 Mn |
| Sep 30, 2022 | 145.20 Mn |
| Jun 30, 2022 | -16.20 Mn |
| Mar 31, 2022 | -7.62 Mn |
| Dec 31, 2021 | 8.18 Mn |
| Sep 30, 2021 | 136.93 Mn |
API Access
Cgi Prepaid Assets 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=prepaid-assets&ticker=GIB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=GIB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();