Cgi (GIB) Change in Accured Expenses (2013 - 2021)
Cgi's Change in Accured Expenses came in at $37,160 for the quarter ended Sep 30, 2025, up 490.7% from $6,291 a year earlier but down 61.7% from the prior quarter.
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Analysis
Cgi (GIB) Change in Accured Expenses (2013 - 2021) Analysis & Trends
For the year ended Sep 30, 2025, Cgi's Change in Accured Expenses was -$76,459.
- Going back by year, Change in Accured Expenses was -$4,495 in the year ended Sep 30, 2024.
- The five-year range for quarterly Change in Accured Expenses is -$104,179 (the quarter ended Mar 31, 2025) to $96,902 (the quarter ended Jun 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 50.24 Bn | 36.74 Bn | 1.60 Bn | - |
| 2 | Cognizant Technology Solutions | 31.12 Bn | 24.28 Bn | 1.83 Bn | - |
| 3 | Wipro | 20.11 Bn | 14.81 Bn | 738.00 Mn | -65.07 Mn |
| 4 | Td Synnex | 19.66 Bn | 13.82 Bn | 1.43 Bn | - |
| 5 | Cdw | 19.39 Bn | 17.38 Bn | 1.32 Bn | - |
| 6 | Cgi | 16.87 Bn | 14.67 Bn | - | - |
| 7 | Arrow Electronics | 11.10 Bn | 10.05 Bn | 1.13 Bn | 105.67 Mn |
| 8 | Avnet | 7.54 Bn | 6.72 Bn | 865.03 Mn | 100.83 Mn |
| 9 | EPAM Systems | 6.64 Bn | 2.28 Bn | 429.57 Mn | -67.67 Mn |
| 10 | Ingram Micro Holding | 6.19 Bn | 1.79 Bn | 958.68 Mn | -86.93 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2021 | 122.07 Mn |
| Mar 31, 2021 | 90.72 Mn |
| Dec 31, 2020 | 11.43 Mn |
| Sep 30, 2020 | 37.16 Mn |
| Jun 30, 2020 | 79.70 Mn |
| Mar 31, 2020 | -85.00 Mn |
| Dec 31, 2019 | 22.48 Mn |
| Sep 30, 2019 | -48.16 Mn |
| Jun 30, 2019 | 23.46 Mn |
| Mar 31, 2019 | -4.87 Mn |
| Dec 31, 2018 | 12.91 Mn |
| Sep 30, 2018 | -60.48 Mn |
| Jun 30, 2018 | 58.38 Mn |
| Mar 31, 2018 | 5.68 Mn |
| Dec 31, 2017 | 71.03 Mn |
| Sep 30, 2017 | 87.19 Mn |
| Jun 30, 2017 | 44.27 Mn |
| Mar 31, 2017 | 41.35 Mn |
| Dec 31, 2016 | 11.88 Mn |
| Sep 30, 2016 | -91.00 Mn |
API Access
Cgi Change in Accured 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=change-in-accured-expenses&ticker=GIB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=GIB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();