Cgi (GIB) Change in Accured Expenses (2015 - 2024)
Cgi's (GIB) quarterly Change in Accured Expenses came in at -$93.0 million in Q4 2024, down 14124.39% year-over-year from N/an in Q1 2024, and down 14124.39% quarter-over-quarter from $663285.6 in Q4 2023.
Cgi (GIB) Change in Accured Expenses (2015 - 2024) Analysis & Trends
Cgi (GIB) has reported Change in Accured Expenses for 6 consecutive years, with -$93.0 million the latest figure, recorded in Q4 2024.
- On a quarterly basis, Change in Accured Expenses fell 14124.39% year-over-year to -$93.0 million in Q4 2024; TTM through Dec 2024 was -$131.4 million, a 171.79% decrease from a year earlier, with the FY2023 full-year figure at $8.2 million, up 182.63% from the prior year.
- Change in Accured Expenses was -$93.0 million for Q4 2024 at Cgi, down from $663285.6 in the prior quarter.
- Over five years, Change in Accured Expenses peaked at $122.1 million in Q2 2021 and troughed at -$93.0 million in Q4 2024.
- A 4-year average of $121659.4 and a median of $663285.6 in 2023 frame the typical range for Change in Accured Expenses.
- Across the five-year window, Change in Accured Expenses jumped 182.63% in 2023 and plunged 14124.39% in 2024, its largest moves.
- Over 4 years, Change in Accured Expenses stood at $122.1 million in 2021, then slumped by 108.16% to -$10.0 million in 2022, then jumped by 106.66% to $663285.6 in 2023, then sank by 14124.39% to -$93.0 million in 2024.
- The last three Change in Accured Expenses figures came in at -$93.0 million (Q4 2024), $663285.6 (Q4 2023), and $8.2 million (Q3 2023), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Investview | 47.95 Bn | 47.95 Bn | -199,485.00 | - |
| 2 | Infosys | 43.60 Bn | 43.65 Bn | 1.60 Bn | - |
| 3 | Cognizant Technology Solutions | 26.73 Bn | 25.68 Bn | 1.83 Bn | -66.00 Mn |
| 4 | Td Synnex | 23.02 Bn | 21.93 Bn | 1.34 Bn | - |
| 5 | Cdw | 18.31 Bn | 17.95 Bn | 1.32 Bn | 74.80 Mn |
| 6 | Cgi | 13.55 Bn | 12.97 Bn | - | - |
| 7 | Arrow Electronics | 11.54 Bn | 11.37 Bn | 1.13 Bn | 105.67 Mn |
| 8 | Avnet | 8.30 Bn | 8.15 Bn | 865.03 Mn | 100.83 Mn |
| 9 | Ingram Micro Holding | 6.43 Bn | 5.62 Bn | 958.68 Mn | -86.93 Mn |
| 10 | EPAM Systems | 5.68 Bn | 4.89 Bn | 429.57 Mn | -67.67 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | -93.02 Mn |
| Dec 31, 2023 | 663,285.58 |
| Sep 30, 2023 | 8.23 Mn |
| Jun 30, 2023 | -47.29 Mn |
| Sep 30, 2022 | -9.96 Mn |
| Jun 30, 2022 | 74.64 Mn |
| Mar 31, 2022 | -66.01 Mn |
| Jun 30, 2021 | 122.07 Mn |
| Mar 31, 2021 | 11.77 Mn |
| Sep 30, 2016 | -91.00 Mn |
| Sep 30, 2015 | -48.69 Mn |
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_KEY
import 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();