Cgi (GIB) Accumulated Expenses (2009 - 2026)
Cgi's (GIB) quarterly Accumulated Expenses came in at $895.4 million in Q2 2026, up 1282.46% year-over-year from $64.8 million in Q2 2025, and up 5.86% quarter-over-quarter from $845.8 million in Q1 2026.
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Analysis
Cgi (GIB) Accumulated Expenses (2009 - 2026) Analysis & Trends
Cgi (GIB) has reported Accumulated Expenses for 18 consecutive years, with $895.4 million the latest figure, recorded in Q2 2026.
- On a quarterly basis, Accumulated Expenses rose 1282.46% year-over-year to $895.4 million in Q2 2026; TTM through Jun 2026 was $895.4 million, a 1282.46% increase from a year earlier, with the FY2025 full-year figure at $922.7 million, up 7.95% from the prior year.
- Accumulated Expenses was $895.4 million for Q2 2026 at Cgi, up from $845.8 million in the prior quarter.
- Over five years, Accumulated Expenses peaked at $922.7 million in Q3 2025 and troughed at -$123.4 million in Q1 2025.
- A 5-year average of $311.8 million and a median of $20.5 million in 2024 frame the typical range for Accumulated Expenses.
- The widest YoY moves for Accumulated Expenses: up 1799.46% in 2025, down 227.58% in 2025.
- Over 5 years, Accumulated Expenses stood at -$72.3 million in 2022, then surged by 74.74% to -$18.3 million in 2023, then sank by 170.94% to -$49.5 million in 2024, then jumped by 1799.46% to $841.1 million in 2025, then rose by 6.45% to $895.4 million in 2026.
- The last three Accumulated Expenses figures came in at $895.4 million (Q2 2026), $845.8 million (Q1 2026), and $841.1 million (Q4 2025), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 44.17 Bn | 44.22 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 26.84 Bn | 25.79 Bn | 1.83 Bn |
| 3 | Cgi | 13.60 Bn | 13.02 Bn | - |
| 4 | EPAM Systems | 5.82 Bn | 5.04 Bn | 429.57 Mn |
| 5 | Science Applications International | 5.60 Bn | 5.47 Bn | 239.00 Mn |
| 6 | ExlService Holdings | 5.35 Bn | 5.07 Bn | 225.96 Mn |
| 7 | Kyndryl Holdings | 2.65 Bn | 639.03 Mn | 776.00 Mn |
| 8 | Innodata | 2.10 Bn | 1.85 Bn | 42.46 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 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 895.38 Mn |
| Mar 31, 2026 | 845.81 Mn |
| Dec 31, 2025 | 841.12 Mn |
| Sep 30, 2025 | 922.66 Mn |
| Jun 30, 2025 | -75.72 Mn |
| Mar 31, 2025 | -123.43 Mn |
| Dec 31, 2024 | -49.49 Mn |
| Sep 30, 2024 | 854.67 Mn |
| Jun 30, 2024 | 59.35 Mn |
| Mar 31, 2024 | -51.91 Mn |
| Dec 31, 2023 | -18.27 Mn |
| Sep 30, 2023 | 820.95 Mn |
| Jun 30, 2023 | -40.87 Mn |
| Mar 31, 2023 | -76.73 Mn |
| Dec 31, 2022 | -72.30 Mn |
| Sep 30, 2022 | 866.98 Mn |
| Jun 30, 2022 | 69.78 Mn |
| Mar 31, 2022 | -55.95 Mn |
| Dec 31, 2021 | -62.06 Mn |
| Sep 30, 2021 | 861.15 Mn |
API Access
Cgi Accumulated Expenses 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=accumulated-expenses&ticker=GIB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=GIB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();