Cgi (GIB) Operating Leases (2019 - 2026)
Cgi (GIB) posted Operating Leases of $347.73 million for the quarter ended Jun 30, 2026, down 4.0% from $362.16 million a year earlier and down 2.1% from the prior quarter.
Cgi (GIB) Operating Leases (2019 - 2026) Analysis & Trends
As of Sep 30, 2025, Cgi's Operating Leases came in at $378.15 million, up 9.8% from the prior year.
- Annual Operating Leases shows a five-year compound annual growth rate of -6.3% (years ended Sep 2020 to Sep 2025).
- In prior years, Cgi's Operating Leases was $344.42 million in the year ended Sep 30, 2024 (+4.2%), $330.53 million in the year ended Sep 30, 2023 (-21.8%), $422.67 million in the year ended Sep 30, 2022 (-12.7%) and $483.89 million in the year ended Sep 30, 2021 (-7.6%).
- The figure for the quarter ended Jun 30, 2026 stands as the lowest quarterly Operating Leases since the quarter ended Dec 31, 2024.
- On a year-over-year basis, Operating Leases increased in seven of the last eight quarters, with growth averaging 8.0%.
- The strongest year-over-year quarter for Operating Leases in the past five years was the quarter ended Jun 30, 2025, with growth of 15.0%; the weakest was the quarter ended Dec 31, 2023, with a decline of 25.9%.
- According to Business Quant data, Operating Leases for the three prior quarters was $355.3 million (quarter ended Mar 31, 2026), $373.64 million (quarter ended Dec 31, 2025) and $378.15 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 42.66 Bn | 42.72 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 25.65 Bn | 18.82 Bn | 1.83 Bn |
| 3 | Td Synnex | 20.51 Bn | 14.54 Bn | 1.34 Bn |
| 4 | Cdw | 16.33 Bn | 14.32 Bn | 1.32 Bn |
| 5 | Cgi | 15.07 Bn | 12.85 Bn | - |
| 6 | Arrow Electronics | 11.72 Bn | 10.75 Bn | 1.13 Bn |
| 7 | Avnet | 8.33 Bn | 7.51 Bn | 865.03 Mn |
| 8 | Ingram Micro Holding | 6.23 Bn | 1.84 Bn | 958.68 Mn |
| 9 | EPAM Systems | 5.55 Bn | 1.19 Bn | 429.57 Mn |
| 10 | Science Applications International | 5.50 Bn | 5.04 Bn | 239.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 347.73 Mn |
| Mar 31, 2026 | 355.30 Mn |
| Dec 31, 2025 | 373.64 Mn |
| Sep 30, 2025 | 378.15 Mn |
| Jun 30, 2025 | 362.16 Mn |
| Mar 31, 2025 | 352.49 Mn |
| Dec 31, 2024 | 338.76 Mn |
| Sep 30, 2024 | 344.42 Mn |
| Jun 30, 2024 | 314.92 Mn |
| Mar 31, 2024 | 310.72 Mn |
| Dec 31, 2023 | 297.03 Mn |
| Sep 30, 2023 | 330.53 Mn |
| Jun 30, 2023 | 375.54 Mn |
| Mar 31, 2023 | 388.69 Mn |
| Dec 31, 2022 | 400.78 Mn |
| Sep 30, 2022 | 422.67 Mn |
| Jun 30, 2022 | 413.59 Mn |
| Mar 31, 2022 | 420.05 Mn |
| Dec 31, 2021 | 457.52 Mn |
| Sep 30, 2021 | 483.89 Mn |
Cgi Operating Leases 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=operating-leases&ticker=GIB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=GIB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();