Automatic Data Processing (ADP) Exchange Rate Effect (2009 - 2026)
Automatic Data Processing's Exchange Rate Effect was $6.6 million in fiscal Q1 2027 (quarter ended Sep 30, 2026), compared with -$6.7 million a year earlier.
Powered by 
Analysis
Automatic Data Processing (ADP) Exchange Rate Effect (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Automatic Data Processing's Exchange Rate Effect was -$24.5 million through Sep 30, 2026; for FY2026 (ended Jun 30, 2026), it was -$37.8 million.
- In earlier fiscal years, Exchange Rate Effect was $37.3 million in FY2025, -$22.4 million in FY2024, -$21.1 million in FY2023 and -$98.7 million in FY2022.
- Quarterly Exchange Rate Effect has moved between -$84.5 million (fiscal Q4 2022) and $50 million (fiscal Q4 2025) over five years.
- Per Business Quant data, ADP's Exchange Rate Effect in the three fiscal quarters before Q1 2027 was -$24.1 million (Q4 2026), -$42.5 million (Q3 2026) and $35.5 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 413.65 Bn | 378.59 Bn | 1.93 Bn | 2.09 Mn |
| 2 | Oracle | 374.28 Bn | 246.84 Bn | - | 11.00 Mn |
| 3 | Sap Se | 294.90 Bn | 222.88 Bn | 8.64 Bn | 32.21 Mn |
| 4 | Salesforce | 186.99 Bn | 142.87 Bn | 8.70 Bn | -75.00 Mn |
| 5 | Automatic Data Processing | 120.08 Bn | 106.87 Bn | 2.53 Bn | 6.60 Mn |
| 6 | ServiceNow | 113.02 Bn | 92.28 Bn | 2.90 Bn | 1.00 Mn |
| 7 | Intuit | 95.72 Bn | 75.07 Bn | 3.44 Bn | -11.00 Mn |
| 8 | Relx | 74.73 Bn | 73.84 Bn | - | - |
| 9 | Strategy | 57.35 Bn | 44.49 Bn | 89.63 Mn | -1.26 Mn |
| 10 | Thomson Reuters | 52.16 Bn | 48.13 Bn | - | 1.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 6.60 Mn |
| Jun 30, 2026 | -24.10 Mn |
| Mar 31, 2026 | -42.50 Mn |
| Dec 31, 2025 | 35.50 Mn |
| Sep 30, 2025 | -6.70 Mn |
| Jun 30, 2025 | 50.00 Mn |
| Mar 31, 2025 | 24.00 Mn |
| Dec 31, 2024 | -53.70 Mn |
| Sep 30, 2024 | 17.00 Mn |
| Jun 30, 2024 | -6.70 Mn |
| Mar 31, 2024 | -26.30 Mn |
| Dec 31, 2023 | 26.90 Mn |
| Sep 30, 2023 | -16.30 Mn |
| Jun 30, 2023 | 4.20 Mn |
| Mar 31, 2023 | -700,000.00 |
| Dec 31, 2022 | 20.30 Mn |
| Sep 30, 2022 | -44.90 Mn |
| Jun 30, 2022 | -84.50 Mn |
| Mar 31, 2022 | 6.70 Mn |
| Dec 31, 2021 | 300,000.00 |
API Access
Automatic Data Processing 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=ADP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "ADP", "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=ADP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();