Conduent (CNDT) Exchange Rate Effect (2015 - 2026)
Conduent (CNDT) recorded Exchange Rate Effect of $1 million in Q2 2026, down 75.0% from $4 million a year earlier.
Conduent (CNDT) Exchange Rate Effect (2015 - 2026) Analysis & Trends
On a TTM basis, Conduent's Exchange Rate Effect came in at $2 million as of Jun 30, 2026, up 100.0% year-over-year; for FY2025, it came in at $6 million.
- Across earlier years, Exchange Rate Effect came in at -$10 million in FY2024, $6 million in FY2023, -$8 million in FY2022 and -$7 million in FY2021.
- Quarterly Exchange Rate Effect has ranged from -$6 million in Q4 2024 to $4 million in Q2 2025 over the past five years.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 118.39 Bn | 78.80 Bn | 6.13 Bn | -47.45 Mn |
| 2 | Cintas | 79.13 Bn | 78.31 Bn | 1.48 Bn | -1.91 Mn |
| 3 | Iron Mountain | 33.17 Bn | 32.69 Bn | 1.07 Bn | 6.96 Mn |
| 4 | APi | 16.75 Bn | 13.79 Bn | 703.00 Mn | -2.00 Mn |
| 5 | Rollins | 14.67 Bn | 14.22 Bn | 569.95 Mn | 208,000.00 |
| 6 | Aramark | 14.35 Bn | 12.37 Bn | 430.34 Mn | -1.12 Mn |
| 7 | UL Solutions | 13.11 Bn | 11.89 Bn | 417.00 Mn | -1.00 Mn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | -10.62 Mn |
| 9 | Rentokil Initial | 10.12 Bn | 3.46 Bn | - | - |
| 10 | Conduent | 245.72 Mn | -691.28 Mn | 96.00 Mn | 1.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.00 Mn |
| Dec 31, 2025 | 1.00 Mn |
| Jun 30, 2025 | 4.00 Mn |
| Mar 31, 2025 | 1.00 Mn |
| Dec 31, 2024 | -6.00 Mn |
| Sep 30, 2024 | 2.00 Mn |
| Jun 30, 2024 | -4.00 Mn |
| Mar 31, 2024 | -2.00 Mn |
| Dec 31, 2023 | 4.00 Mn |
| Sep 30, 2023 | -1.00 Mn |
| Jun 30, 2023 | 1.00 Mn |
| Mar 31, 2023 | 2.00 Mn |
| Dec 31, 2022 | 2.00 Mn |
| Sep 30, 2022 | -4.00 Mn |
| Jun 30, 2022 | -5.00 Mn |
| Mar 31, 2022 | -1.00 Mn |
| Sep 30, 2021 | -5.00 Mn |
| Jun 30, 2021 | 1.00 Mn |
| Mar 31, 2021 | -3.00 Mn |
| Dec 31, 2020 | 5.00 Mn |
Conduent 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=CNDT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "CNDT", "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=CNDT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();