Cgi (GIB) EBT (2009 - 2026)
Cgi (GIB) recorded EBT of $458.28 million in the quarter ended Jun 30, 2026, up 15.1% from $398.09 million a year earlier and up 1.7% from the prior quarter.
Cgi (GIB) EBT (2009 - 2026) Analysis & Trends
On a TTM basis, Cgi's EBT came in at $1.34 billion as of Jun 30, 2026, up 9.0% year-over-year; for the year ended Sep 30, 2025, it came in at $1.63 billion, down 3.0% from the prior year.
- Annual EBT has a five-year compound annual growth rate of 7.4% (years ended Sep 2020 to Sep 2025).
- Across earlier years, EBT came in at $1.68 billion in the year ended Sep 30, 2024 (+2.4%), $1.64 billion in the year ended Sep 30, 2023 (+8.7%), $1.51 billion in the year ended Sep 30, 2022 (+3.3%) and $1.46 billion in the year ended Sep 30, 2021 (+28.3%).
- The figure for the quarter ended Jun 30, 2026 is the highest quarterly EBT in data going back to the quarter ended Sep 30, 2009.
- On a year-over-year basis, EBT has increased for four consecutive quarters, with growth averaging 4.2% over the last eight quarters.
- Peak year-over-year performance for EBT in the last five years was growth of 45.6% in the quarter ended Sep 30, 2021, against a decline of 8.3% in the quarter ended Jun 30, 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $450.41 million (quarter ended Mar 31, 2026), $430.1 million (quarter ended Dec 31, 2025) and $460,614 (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 52.13 Bn | 38.63 Bn | 1.60 Bn | 1.16 Bn |
| 2 | Cognizant Technology Solutions | 32.10 Bn | 25.26 Bn | 1.83 Bn | 875.00 Mn |
| 3 | Wipro | 21.74 Bn | 16.44 Bn | 738.00 Mn | 458.00 Mn |
| 4 | Td Synnex | 19.86 Bn | 14.02 Bn | 1.43 Bn | 555.25 Mn |
| 5 | Cdw | 19.78 Bn | 17.77 Bn | 1.32 Bn | 372.90 Mn |
| 6 | Cgi | 17.63 Bn | 15.43 Bn | - | 458.28 Mn |
| 7 | Arrow Electronics | 11.15 Bn | 10.10 Bn | 1.13 Bn | 353.15 Mn |
| 8 | Avnet | 7.58 Bn | 6.76 Bn | 865.03 Mn | 160.16 Mn |
| 9 | EPAM Systems | 6.90 Bn | 2.54 Bn | 429.57 Mn | 140.55 Mn |
| 10 | Ingram Micro Holding | 6.30 Bn | 1.91 Bn | 958.68 Mn | 157.54 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 458.28 Mn |
| Mar 31, 2026 | 450.41 Mn |
| Dec 31, 2025 | 430.10 Mn |
| Sep 30, 2025 | 495,347.08 |
| Jun 30, 2025 | 398.09 Mn |
| Mar 31, 2025 | 406.03 Mn |
| Dec 31, 2024 | 423.60 Mn |
| Sep 30, 2024 | 436.79 Mn |
| Jun 30, 2024 | 434.27 Mn |
| Mar 31, 2024 | 428.52 Mn |
| Dec 31, 2023 | 387.20 Mn |
| Sep 30, 2023 | 416,174.75 |
| Jun 30, 2023 | 416.13 Mn |
| Mar 31, 2023 | 417.53 Mn |
| Dec 31, 2022 | 380.54 Mn |
| Sep 30, 2022 | 372,563.53 |
| Jun 30, 2022 | 383.52 Mn |
| Mar 31, 2022 | 393.81 Mn |
| Dec 31, 2021 | 391.33 Mn |
| Sep 30, 2021 | 368,953.87 |
Cgi EBT 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=ebt&ticker=GIB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=GIB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();