Cgi (GIB) Change in Property, Plant and Equipment (2009 - 2026)
Cgi (GIB) posted Change in Property, Plant and Equipment of $20.01 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 23.1% from $26.02 million a year earlier and down 13.3% from the prior quarter.
Cgi (GIB) Change in Property, Plant and Equipment (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Property, Plant and Equipment at Cgi was -$89.41 million; for FY2025 (ended Sep 30, 2025), it came in at -$82.51 million.
- In prior fiscal years, Cgi's Change in Property, Plant and Equipment was -$76.46 million in FY2024, -$118.5 million in FY2023, -$119.34 million in FY2022 and -$96.38 million in FY2021.
- Quarterly Change in Property, Plant and Equipment has run from a low of -$210.11 million in fiscal Q4 2022 to a high of $36.16 million in fiscal Q3 2022 over five years.
- On a year-over-year basis, Change in Property, Plant and Equipment increased in two of the last seven quarters, with an average decline of 6.0%.
- The strongest year-over-year quarter for Change in Property, Plant and Equipment in the past five years was fiscal Q1 2022, with growth of 162.1%; the weakest was fiscal Q2 2024, with a decline of 35.3%.
- According to Business Quant data, Change in Property, Plant and Equipment for the three prior fiscal quarters was $23.08 million (Q2 2026), $16.8 million (Q1 2026) and -$149.31 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in PP&E (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 51.02 Bn | -78.24 Bn | 1.60 Bn | 86.00 Mn |
| 2 | Cognizant Technology Solutions | 29.85 Bn | 23.81 Bn | 1.91 Bn | -79.00 Mn |
| 3 | Wipro | 22.47 Bn | 17.61 Bn | 745.00 Mn | 45.55 Mn |
| 4 | Cdw | 20.42 Bn | 17.32 Bn | 1.39 Bn | -26.80 Mn |
| 5 | Cgi | 18.46 Bn | 16.26 Bn | - | 20.01 Mn |
| 6 | Td Synnex | 18.27 Bn | 12.43 Bn | 1.43 Bn | -58.88 Mn |
| 7 | Arrow Electronics | 9.85 Bn | 8.80 Bn | 1.13 Bn | -21.14 Mn |
| 8 | EPAM Systems | 8.15 Bn | 4.06 Bn | 445.94 Mn | -14.68 Mn |
| 9 | Avnet | 7.00 Bn | 6.18 Bn | 865.03 Mn | -16.76 Mn |
| 10 | ExlService Holdings | 6.61 Bn | 5.41 Bn | 241.14 Mn | -16.59 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 20.01 Mn |
| Mar 31, 2026 | 23.08 Mn |
| Dec 31, 2025 | 16.80 Mn |
| Sep 30, 2025 | -149.31 Mn |
| Jun 30, 2025 | 26.02 Mn |
| Mar 31, 2025 | 18.68 Mn |
| Dec 31, 2024 | 19.54 Mn |
| Sep 30, 2024 | 17.14 Mn |
| Jun 30, 2024 | 20.38 Mn |
| Mar 31, 2024 | 22.24 Mn |
| Dec 31, 2023 | 20.93 Mn |
| Sep 30, 2023 | 25.70 Mn |
| Jun 30, 2023 | 27.99 Mn |
| Mar 31, 2023 | 34.36 Mn |
| Dec 31, 2022 | 30.40 Mn |
| Sep 30, 2022 | -210.11 Mn |
| Jun 30, 2022 | 36.16 Mn |
| Mar 31, 2022 | 26.05 Mn |
| Dec 31, 2021 | 33.79 Mn |
| Sep 30, 2021 | -168.11 Mn |
Cgi Change in Property, Plant and Equipment 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=change-in-property-plant-and-equipment&ticker=GIB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-property-plant-and-equipment", "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=change-in-property-plant-and-equipment&ticker=GIB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();