Cgi (GIB) EV to EBITDA (2011 - 2026)
Cgi's (GIB) EV to EBITDA came in at 7.49 for the quarter ended Jun 30, 2026, compared with -469.69 a year earlier and down 13.9% from the prior quarter.
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Analysis
Cgi (GIB) EV to EBITDA (2011 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EV to EBITDA at Cgi was 6.54; for the year ended Sep 30, 2025, it was 8.99, down 25.1% from the prior year.
- In prior years, Cgi's EV to EBITDA was 12.01 in the year ended Sep 30, 2024 (+13.8%), 10.55 in the year ended Sep 30, 2023 (+18.9%), 8.87 in the year ended Sep 30, 2022 (-12.4%) and 10.13 in the year ended Sep 30, 2021 (+1.4%).
- Quarterly EV to EBITDA has run from a low of -469.69 in the quarter ended Jun 30, 2025 to a high of 15.12 in the quarter ended Sep 30, 2024 over five years.
- On a year-over-year basis, EV to EBITDA increased in 1 of the last six quarters, with an average decline of 13.7%.
- The strongest year-over-year quarter for EV to EBITDA in the past five years was the quarter ended Jun 30, 2023, with growth of 24.1%; the weakest was the quarter ended Mar 31, 2026, with a decline of 33.7%.
- According to Business Quant data, EV to EBITDA for the three prior quarters was 8.70 (quarter ended Mar 31, 2026), 11.49 (quarter ended Dec 31, 2025) and 11.24 (quarter ended Sep 30, 2025).
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.49 |
| Mar 31, 2026 | 8.70 |
| Dec 31, 2025 | 11.49 |
| Sep 30, 2025 | 11.24 |
| Jun 30, 2025 | -469.69 |
| Mar 31, 2025 | 13.11 |
| Dec 31, 2024 | 13.89 |
| Sep 30, 2024 | 15.12 |
| Jun 30, 2024 | 13.45 |
| Mar 31, 2024 | 15.04 |
| Dec 31, 2023 | 14.80 |
| Sep 30, 2023 | 13.34 |
| Jun 30, 2023 | 14.86 |
| Mar 31, 2023 | 13.83 |
| Dec 31, 2022 | 12.45 |
| Sep 30, 2022 | 10.79 |
| Jun 30, 2022 | 11.97 |
| Mar 31, 2022 | 11.89 |
| Dec 31, 2021 | 13.37 |
| Sep 30, 2021 | 12.73 |
API Access
Cgi EV to 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=ev-to-ebitda&ticker=GIB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-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=ev-to-ebitda&ticker=GIB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();