Cgi (GIB) Exchange Rate Effect (2009 - 2026)
Cgi (GIB) reported Exchange Rate Effect of $12.58 million for the quarter ended Jun 30, 2026, up 137.8% from $5.29 million a year earlier and up 72.7% 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 $21.25 million, down 65.0% year-over-year; for the year ended Sep 30, 2025, it was $63.24 million, up 148.6% from the prior year.
- Exchange Rate Effect has a five-year compound annual growth rate of 20.0% (years ended Sep 2020 to Sep 2025).
- By year, Exchange Rate Effect came in at $25.44 million in the year ended Sep 30, 2024 (+283.9%), $6.63 million in the year ended Sep 30, 2023, -$35.65 million in the year ended Sep 30, 2022 and -$58.69 million in the year ended Sep 30, 2021.
- The figure for the quarter ended Jun 30, 2026 ranks as the highest quarterly Exchange Rate Effect since the quarter ended Dec 31, 2024.
- Year over year, Exchange Rate Effect gained in three of the last five quarters, with growth averaging 18.4%.
- The high point for year-over-year Exchange Rate Effect in five years was the quarter ended Jun 30, 2026 (growth of 137.8%); the low point was the quarter ended Sep 30, 2023 (a decline of 99.6%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $7.29 million (quarter ended Mar 31, 2026), -$8.09 million (quarter ended Dec 31, 2025) and $9.48 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 52.03 Bn | 38.53 Bn | 1.60 Bn | 10.00 Mn |
| 2 | Cognizant Technology Solutions | 31.75 Bn | 24.91 Bn | 1.83 Bn | -1.00 Mn |
| 3 | Wipro | 21.48 Bn | 16.18 Bn | 738.00 Mn | -1.92 Mn |
| 4 | Cdw | 19.70 Bn | 17.69 Bn | 1.32 Bn | -800,000.00 |
| 5 | Td Synnex | 19.65 Bn | 13.81 Bn | 1.43 Bn | -7.33 Mn |
| 6 | Cgi | 17.59 Bn | 15.39 Bn | - | 1.05 Bn |
| 7 | Arrow Electronics | 11.05 Bn | 10.00 Bn | 1.13 Bn | -6.98 Mn |
| 8 | Avnet | 7.49 Bn | 6.67 Bn | 865.03 Mn | 1.70 Mn |
| 9 | EPAM Systems | 6.82 Bn | 2.46 Bn | 429.57 Mn | 3.75 Mn |
| 10 | Ingram Micro Holding | 6.25 Bn | 1.85 Bn | 958.68 Mn | 11.21 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();