Cgi (GIB) Restructuring Costs (2010 - 2026)
Cgi's Restructuring Costs was $12.44 million in the quarter ended Jun 30, 2026, down 79.4% from $60.4 million a year earlier and down 58.3% from the prior quarter.
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Analysis
Cgi (GIB) Restructuring Costs (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Cgi's Restructuring Costs was $149.42 million through Jun 30, 2026, up 25.8% year-over-year; for the year ended Sep 30, 2025, it came in at $207.11 million, up 191.5% from the prior year.
- Restructuring Costs has now increased for four consecutive years, with a five-year compound annual growth rate of 12.2% (years ended Sep 2020 to Sep 2025).
- In earlier years, Restructuring Costs was $71.05 million in the year ended Sep 30, 2024 (+78.4%), $39.83 million in the year ended Sep 30, 2023 (+87.9%), $21.2 million in the year ended Sep 30, 2022 (+262.1%) and $5.86 million in the year ended Sep 30, 2021 (-95.0%).
- The figure for the quarter ended Jun 30, 2026 marks the lowest quarterly Restructuring Costs since the quarter ended Dec 31, 2024.
- Compared with a year earlier, Restructuring Costs was higher in two of the last five quarters, with an average decline of 9.8%.
- The best year-over-year quarter for Restructuring Costs over five years was the quarter ended Mar 31, 2023 (growth of 773.0%); the worst was the quarter ended Sep 30, 2021 (a decline of 100.0%).
- Per Business Quant data, GIB's Restructuring Costs in the three quarters before the quarter ended Jun 30, 2026 was $29.83 million (quarter ended Mar 31, 2026), $18.82 million (quarter ended Dec 31, 2025) and $88.33 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 43.52 Bn | 43.57 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 25.96 Bn | 19.13 Bn | 1.83 Bn |
| 3 | Td Synnex | 20.53 Bn | 14.56 Bn | 1.34 Bn |
| 4 | Cdw | 16.06 Bn | 14.05 Bn | 1.32 Bn |
| 5 | Cgi | 15.14 Bn | 12.92 Bn | - |
| 6 | Arrow Electronics | 11.55 Bn | 10.58 Bn | 1.13 Bn |
| 7 | Avnet | 8.20 Bn | 7.38 Bn | 865.03 Mn |
| 8 | Ingram Micro Holding | 6.32 Bn | 1.92 Bn | 958.68 Mn |
| 9 | EPAM Systems | 5.59 Bn | 1.23 Bn | 429.57 Mn |
| 10 | Science Applications International | 5.36 Bn | 4.90 Bn | 239.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.44 Mn |
| Mar 31, 2026 | 29.83 Mn |
| Dec 31, 2025 | 18.82 Mn |
| Sep 30, 2025 | 88.33 Mn |
| Jun 30, 2025 | 60.40 Mn |
| Mar 31, 2025 | 46.28 Mn |
| Dec 31, 2024 | 9.57 Mn |
| Sep 30, 2024 | 2.52 Mn |
| Jun 30, 2024 | 73,114.05 |
| Mar 31, 2024 | 32.32 Mn |
| Dec 31, 2023 | 36.61 Mn |
| Sep 30, 2023 | -11,021.12 |
| Jun 30, 2023 | 9.70 Mn |
| Mar 31, 2023 | 15.49 Mn |
| Dec 31, 2022 | 14.31 Mn |
| Sep 30, 2022 | 11,328.68 |
| Jun 30, 2022 | 6.29 Mn |
| Mar 31, 2022 | 1.77 Mn |
| Dec 31, 2021 | 2.08 Mn |
| Sep 30, 2021 | 928.66 |
API Access
Cgi Restructuring Costs 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=restructuring-costs&ticker=GIB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=GIB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();