Ci&T (CINT) Exchange Rate Effect (2020 - 2026)
Ci&T (CINT) reported Exchange Rate Effect of $4.65 million for the quarter ended Jun 30, 2026, up 621.4% from $644,000 a year earlier and up 210.8% from the prior quarter.
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Analysis
Ci&T (CINT) Exchange Rate Effect (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Ci&T's Exchange Rate Effect came in at $27.07 million, down 4.1% year-over-year; for the year ended Dec 31, 2025, it was $6.56 million.
- By year, Exchange Rate Effect came in at -$10.17 million in the year ended Dec 31, 2024, $2.82 million in the year ended Dec 31, 2023 (-36.0%), $4.41 million in the year ended Dec 31, 2022 and -$3.89 million in the year ended Dec 31, 2021.
- Five-year quarterly Exchange Rate Effect spans a low of -$7.56 million in the quarter ended Jun 30, 2024 and a high of $18.51 million in the quarter ended Dec 31, 2023.
- Year over year, Exchange Rate Effect gained in 1 of the last six quarters, with growth averaging 81.2%.
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $1.5 million (quarter ended Mar 31, 2026), $11.8 million (quarter ended Dec 31, 2025) and $9.14 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 52.21 Bn | 38.71 Bn | 1.60 Bn | 10.00 Mn |
| 2 | Cognizant Technology Solutions | 32.08 Bn | 25.24 Bn | 1.83 Bn | -1.00 Mn |
| 3 | Wipro | 22.42 Bn | 17.56 Bn | 745.00 Mn | 8.19 Mn |
| 4 | Td Synnex | 19.95 Bn | 14.11 Bn | 1.43 Bn | -7.33 Mn |
| 5 | Cdw | 19.86 Bn | 17.85 Bn | 1.32 Bn | -800,000.00 |
| 6 | Cgi | 17.65 Bn | 15.44 Bn | - | 1.05 Bn |
| 7 | Arrow Electronics | 11.21 Bn | 10.16 Bn | 1.13 Bn | -6.98 Mn |
| 8 | Avnet | 7.59 Bn | 6.77 Bn | 865.03 Mn | 1.70 Mn |
| 9 | EPAM Systems | 6.92 Bn | 2.55 Bn | 429.57 Mn | 3.75 Mn |
| 10 | Ci&T | 404.21 Mn | 211.50 Mn | 44.40 Mn | 4.65 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.65 Mn |
| Mar 31, 2026 | 1.50 Mn |
| Dec 31, 2025 | -779,000.00 |
| Sep 30, 2025 | 9.14 Mn |
| Jun 30, 2025 | 644,000.00 |
| Mar 31, 2025 | 2.76 Mn |
| Dec 31, 2024 | -4.26 Mn |
| Sep 30, 2024 | 11.29 Mn |
| Jun 30, 2024 | -7.56 Mn |
| Mar 31, 2024 | 3.93 Mn |
| Dec 31, 2023 | -584,377.37 |
| Sep 30, 2023 | 736,697.95 |
| Jun 30, 2023 | -586,991.61 |
| Mar 31, 2023 | -232,440.91 |
| Dec 31, 2022 | -1.49 Mn |
| Sep 30, 2022 | -849,595.29 |
| Jun 30, 2022 | -1.58 Mn |
| Mar 31, 2022 | 3.03 Mn |
| Dec 31, 2021 | -3.23 Mn |
| Sep 30, 2021 | -563,013.33 |
API Access
Ci&T 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=CINT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "CINT", "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=CINT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();