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.
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Analysis
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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 51.97 Bn | 38.46 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 31.77 Bn | 24.94 Bn | 1.83 Bn |
| 3 | Wipro | 21.53 Bn | 16.23 Bn | 738.00 Mn |
| 4 | Cdw | 19.80 Bn | 17.79 Bn | 1.32 Bn |
| 5 | Td Synnex | 19.69 Bn | 13.84 Bn | 1.43 Bn |
| 6 | Cgi | 17.53 Bn | 15.32 Bn | - |
| 7 | Arrow Electronics | 11.08 Bn | 10.03 Bn | 1.13 Bn |
| 8 | Avnet | 7.49 Bn | 6.67 Bn | 865.03 Mn |
| 9 | EPAM Systems | 6.79 Bn | 2.42 Bn | 429.57 Mn |
| 10 | Ingram Micro Holding | 6.27 Bn | 1.88 Bn | 958.68 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 338.52 Mn |
| Mar 31, 2026 | 349.82 Mn |
| Dec 31, 2025 | 380.48 Mn |
| Sep 30, 2025 | 373.96 Mn |
| Jun 30, 2025 | 366.78 Mn |
| Mar 31, 2025 | 353.47 Mn |
| Dec 31, 2024 | 329.78 Mn |
| Sep 30, 2024 | 347.81 Mn |
| Jun 30, 2024 | 314.41 Mn |
| Mar 31, 2024 | 309.32 Mn |
| Dec 31, 2023 | 305.66 Mn |
| Sep 30, 2023 | 328.45 Mn |
| Jun 30, 2023 | 380.72 Mn |
| Mar 31, 2023 | 388.61 Mn |
| Dec 31, 2022 | 401.43 Mn |
| Sep 30, 2022 | 403.13 Mn |
| Jun 30, 2022 | 409.30 Mn |
| Mar 31, 2022 | 426.26 Mn |
| Dec 31, 2021 | 452.52 Mn |
| Sep 30, 2021 | 477.60 Mn |
API Access
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_KEYimport 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();