Cgi (GIB) EBITDA (2010 - 2026)
Cgi's EBITDA was $591.24 million in the quarter ended Jun 30, 2026, up 8.5% from $545.1 million a year earlier but down 0.6% from the prior quarter.
Cgi (GIB) EBITDA (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Cgi's EBITDA was $1.86 billion through Jun 30, 2026, up 10.2% year-over-year; for the year ended Sep 30, 2025, it was $2.14 billion, up 2.1% from the prior year.
- EBITDA has now increased for three consecutive years, with a five-year compound annual growth rate of 5.3% (years ended Sep 2020 to Sep 2025).
- In earlier years, EBITDA was $2.09 billion in the year ended Sep 30, 2024 (+1.3%), $2.07 billion in the year ended Sep 30, 2023 (+6.4%), $1.94 billion in the year ended Sep 30, 2022 (-0.4%) and $1.95 billion in the year ended Sep 30, 2021 (+18.3%).
- Quarterly EBITDA has moved between $90.64 million (the quarter ended Sep 30, 2024) and $595.08 million (the quarter ended Mar 31, 2026) over five years.
- Compared with a year earlier, EBITDA has increased for five straight quarters, with growth averaging 5.8% over the last eight quarters.
- The best year-over-year quarter for EBITDA over five years was the quarter ended Sep 30, 2025 (growth of 25.7%); the worst was the quarter ended Sep 30, 2024 (a decline of 12.4%).
- Per Business Quant data, GIB's EBITDA in the three quarters before the quarter ended Jun 30, 2026 was $595.08 million (quarter ended Mar 31, 2026), $557.62 million (quarter ended Dec 31, 2025) and $113.95 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 43.15 Bn | 43.21 Bn | 1.60 Bn | 1.21 Bn |
| 2 | Cognizant Technology Solutions | 25.69 Bn | 18.86 Bn | 1.83 Bn | 1.02 Bn |
| 3 | Td Synnex | 20.64 Bn | 14.68 Bn | 1.34 Bn | 624.64 Mn |
| 4 | Cdw | 16.25 Bn | 14.24 Bn | 1.32 Bn | 503.70 Mn |
| 5 | Cgi | 15.05 Bn | 12.83 Bn | - | 591.24 Mn |
| 6 | Arrow Electronics | 11.71 Bn | 10.74 Bn | 1.13 Bn | 412.93 Mn |
| 7 | Avnet | 8.41 Bn | 7.59 Bn | 865.03 Mn | 253.61 Mn |
| 8 | Ingram Micro Holding | 6.34 Bn | 1.95 Bn | 958.68 Mn | 285.25 Mn |
| 9 | EPAM Systems | 5.52 Bn | 1.16 Bn | 429.57 Mn | 184.32 Mn |
| 10 | Science Applications International | 5.38 Bn | 4.92 Bn | 239.00 Mn | 191.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 591.24 Mn |
| Mar 31, 2026 | 595.08 Mn |
| Dec 31, 2025 | 557.62 Mn |
| Sep 30, 2025 | 113.95 Mn |
| Jun 30, 2025 | 545.10 Mn |
| Mar 31, 2025 | 520.35 Mn |
| Dec 31, 2024 | 529.64 Mn |
| Sep 30, 2024 | 90.64 Mn |
| Jun 30, 2024 | 536.85 Mn |
| Mar 31, 2024 | 544.69 Mn |
| Dec 31, 2023 | 490.38 Mn |
| Sep 30, 2023 | 103.43 Mn |
| Jun 30, 2023 | 519.67 Mn |
| Mar 31, 2023 | 525.81 Mn |
| Dec 31, 2022 | 485.45 Mn |
| Sep 30, 2022 | 93.18 Mn |
| Jun 30, 2022 | 492.91 Mn |
| Mar 31, 2022 | 505.37 Mn |
| Dec 31, 2021 | 505.43 Mn |
| Sep 30, 2021 | 101.77 Mn |
Cgi EBITDA 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=ebitda&ticker=GIB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=GIB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();