Cgi (GIB) Intangibles (2009 - 2026)
Cgi's (GIB) quarterly Intangibles came in at $590.8 million in Q2 2026, down 18.69% year-over-year from $726.5 million in Q2 2025, and down 4.16% quarter-over-quarter from $616.4 million in Q1 2026.
Cgi (GIB) Intangibles (2009 - 2026) Analysis & Trends
Cgi (GIB) has reported Intangibles for 18 consecutive years, with $590.8 million the latest figure, recorded in Q2 2026.
- On a quarterly basis, Intangibles fell 18.69% year-over-year to $590.8 million in Q2 2026; TTM through Jun 2026 was $590.8 million, a 18.69% decrease from a year earlier, with the FY2025 full-year figure at $645.3 million, up 22.5% from the prior year.
- Intangibles was $590.8 million for Q2 2026 at Cgi, down from $616.4 million in the prior quarter.
- Over five years, Intangibles peaked at $742.5 million in Q1 2025 and troughed at $420.3 million in Q1 2022.
- A 5-year average of $535.4 million and a median of $479.6 million in 2022 frame the typical range for Intangibles.
- Across the five-year window, Intangibles jumped 65.38% in 2025 and retreated 18.69% in 2026, its largest moves.
- Over 5 years, Intangibles stood at $467.5 million in 2022, then retreated by 4.03% to $448.7 million in 2023, then jumped by 32.58% to $594.9 million in 2024, then gained by 6.04% to $630.8 million in 2025, then decreased by 6.35% to $590.8 million in 2026.
- The last three Intangibles figures came in at $590.8 million (Q2 2026), $616.4 million (Q1 2026), and $630.8 million (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 44.17 Bn | 44.22 Bn | 1.60 Bn | 486.00 Mn |
| 2 | Cognizant Technology Solutions | 26.84 Bn | 25.79 Bn | 1.83 Bn | 1.68 Bn |
| 3 | Cgi | 13.60 Bn | 13.02 Bn | - | 590.76 Mn |
| 4 | EPAM Systems | 5.82 Bn | 5.04 Bn | 429.57 Mn | 372.97 Mn |
| 5 | Science Applications International | 5.60 Bn | 5.47 Bn | 239.00 Mn | 697.00 Mn |
| 6 | ExlService Holdings | 5.35 Bn | 5.07 Bn | 225.96 Mn | 29.72 Mn |
| 7 | Kyndryl Holdings | 2.65 Bn | 639.03 Mn | 776.00 Mn | 328.00 Mn |
| 8 | Innodata | 2.10 Bn | 1.85 Bn | 42.46 Mn | 14.19 Mn |
| 9 | Formula Systems (1985) | 1.83 Bn | 1.41 Bn | 158.43 Mn | - |
| 10 | DXC Technology | 1.74 Bn | 9.39 Mn | 611.00 Mn | 1.52 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 590.76 Mn |
| Mar 31, 2026 | 616.41 Mn |
| Dec 31, 2025 | 630.84 Mn |
| Sep 30, 2025 | 645.26 Mn |
| Jun 30, 2025 | 726.52 Mn |
| Mar 31, 2025 | 742.54 Mn |
| Dec 31, 2024 | 594.90 Mn |
| Sep 30, 2024 | 526.75 Mn |
| Jun 30, 2024 | 440.51 Mn |
| Mar 31, 2024 | 448.98 Mn |
| Dec 31, 2023 | 448.71 Mn |
| Sep 30, 2023 | 464.79 Mn |
| Jun 30, 2023 | 450.30 Mn |
| Mar 31, 2023 | 463.15 Mn |
| Dec 31, 2022 | 467.53 Mn |
| Sep 30, 2022 | 472.28 Mn |
| Jun 30, 2022 | 486.84 Mn |
| Mar 31, 2022 | 420.28 Mn |
| Dec 31, 2021 | 423.29 Mn |
| Sep 30, 2021 | 402.60 Mn |
Cgi Intangibles 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=intangibles&ticker=GIB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=GIB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();