Cgi (GIB) EBITDA (2010 - 2026)
Cgi's EBITDA was $591.24 million in fiscal Q3 2026 (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, down 12.5% year-over-year; for FY2025 (ended Sep 30, 2025), it was $2.1 billion, up 0.2% from FY2024.
- EBITDA has now increased for eight consecutive fiscal years, with a five-year compound annual growth rate of 5.2% (FY2020 to FY2025).
- In earlier fiscal years, EBITDA was $2.1 billion in FY2024 (+2.2%), $2.05 billion in FY2023 (+3.5%), $1.98 billion in FY2022 (+2.2%) and $1.94 billion in FY2021 (+18.9%).
- Quarterly EBITDA has moved between $93.18 million (fiscal Q4 2022) and $595.08 million (fiscal Q2 2026) over five years.
- Compared with a year earlier, EBITDA has increased for three straight quarters, with growth averaging 45.8% over the last eight quarters.
- The best year-over-year quarter for EBITDA over five years was fiscal Q4 2024 (growth of 411.7%); the worst was fiscal Q4 2025 (a decline of 78.5%).
- Per Business Quant data, GIB's EBITDA in the three fiscal quarters before Q3 2026 was $595.08 million (Q2 2026), $557.62 million (Q1 2026) and $113.98 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 51.06 Bn | 16.35 Bn | 1.60 Bn | 17.01 Bn |
| 2 | Cognizant Technology Solutions | 29.12 Bn | 23.09 Bn | 1.91 Bn | 1.02 Bn |
| 3 | Cdw | 21.17 Bn | 18.07 Bn | 1.39 Bn | 564.60 Mn |
| 4 | Td Synnex | 18.55 Bn | 12.71 Bn | 1.43 Bn | 749.12 Mn |
| 5 | Cgi | 18.36 Bn | 16.16 Bn | - | 591.24 Mn |
| 6 | Arrow Electronics | 9.82 Bn | 8.84 Bn | 1.16 Bn | 466.13 Mn |
| 7 | EPAM Systems | 8.35 Bn | 4.26 Bn | 445.94 Mn | 208.55 Mn |
| 8 | Avnet | 7.00 Bn | 6.12 Bn | 1.07 Bn | 510.85 Mn |
| 9 | ExlService Holdings | 6.69 Bn | 5.49 Bn | 241.14 Mn | 107.52 Mn |
| 10 | Ingram Micro Holding | 6.46 Bn | 1.87 Bn | 996.93 Mn | 348.94 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 | 113.98 Mn |
| Jun 30, 2025 | 545.10 Mn |
| Mar 31, 2025 | 520.35 Mn |
| Dec 31, 2024 | 529.64 Mn |
| Sep 30, 2024 | 529.28 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();