Cgi (GIB) Exchange Rate Effect (2009 - 2026)
Cgi (GIB) reported Exchange Rate Effect of $1.05 billion for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 20.8% from $1.32 billion a year earlier and down 4.2% from the prior quarter.
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Analysis
Cgi (GIB) Exchange Rate Effect (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Cgi's Exchange Rate Effect came in at $1.84 billion, down 36.8% year-over-year; for FY2025 (ended Sep 30, 2025), it was $62.27 million, up 144.1% from FY2024.
- Exchange Rate Effect has a five-year compound annual growth rate of 19.8% (FY2020 to FY2025).
- By fiscal year, Exchange Rate Effect came in at $25.51 million in FY2024 (+287.2%), $6.59 million in FY2023, -$36.42 million in FY2022 and -$58.46 million in FY2021.
- Five-year quarterly Exchange Rate Effect spans a low of -$1.27 billion in fiscal Q4 2025 and a high of $1.77 billion in fiscal Q1 2025.
- Year over year, Exchange Rate Effect gained in three of the last six quarters, with growth averaging 0.6%.
- The high point for year-over-year Exchange Rate Effect in five years was fiscal Q4 2022 (growth of 81.9%); the low point was fiscal Q1 2026 (a decline of 45.3%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $1.09 billion (Q2 2026), $967.32 million (Q1 2026) and -$1.27 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 51.06 Bn | 16.35 Bn | 1.60 Bn | 230.00 Mn |
| 2 | Cognizant Technology Solutions | 29.12 Bn | 23.09 Bn | 1.91 Bn | -1.00 Mn |
| 3 | Cdw | 21.17 Bn | 18.07 Bn | 1.39 Bn | -2.60 Mn |
| 4 | Td Synnex | 18.55 Bn | 12.71 Bn | 1.43 Bn | -7.33 Mn |
| 5 | Cgi | 18.36 Bn | 16.16 Bn | - | 1.05 Bn |
| 6 | Arrow Electronics | 9.82 Bn | 8.84 Bn | 1.16 Bn | -41.07 Mn |
| 7 | EPAM Systems | 8.35 Bn | 4.26 Bn | 445.94 Mn | -6.15 Mn |
| 8 | Avnet | 7.00 Bn | 6.12 Bn | 1.07 Bn | -3.54 Mn |
| 9 | ExlService Holdings | 6.69 Bn | 5.49 Bn | 241.14 Mn | -960,000.00 |
| 10 | Ingram Micro Holding | 6.46 Bn | 1.87 Bn | 996.93 Mn | -4.24 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.05 Bn |
| Mar 31, 2026 | 1.09 Bn |
| Dec 31, 2025 | 967.32 Mn |
| Sep 30, 2025 | -1.27 Bn |
| Jun 30, 2025 | 1.32 Bn |
| Mar 31, 2025 | 957.95 Mn |
| Dec 31, 2024 | 1.77 Bn |
| Sep 30, 2024 | -1.14 Bn |
| Jun 30, 2024 | 1.16 Bn |
| Mar 31, 2024 | 1.16 Bn |
| Dec 31, 2023 | 1.11 Bn |
| Sep 30, 2023 | -21.66 Mn |
| Jun 30, 2023 | 1.42 Bn |
| Mar 31, 2023 | 1.35 Bn |
| Dec 31, 2022 | 1.33 Bn |
| Sep 30, 2022 | 22.35 Mn |
| Jun 30, 2022 | 1.06 Bn |
| Mar 31, 2022 | 1.26 Bn |
| Dec 31, 2021 | 1.71 Bn |
| Sep 30, 2021 | 12.29 Mn |
API Access
Cgi Exchange Rate Effect 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=exchange-rate-effect&ticker=GIB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=GIB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();