Automatic Data Processing (ADP) Exchange Rate Effect (2009 - 2026)
Automatic Data Processing's (ADP) quarterly Exchange Rate Effect came in at -$24.1 million in Q2 2026, down 148.2% year-over-year from $50.0 million in Q2 2025, and up 43.29% quarter-over-quarter from -$42.5 million in Q1 2026.
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Analysis
Automatic Data Processing (ADP) Exchange Rate Effect (2009 - 2026) Analysis & Trends
Automatic Data Processing (ADP) has reported Exchange Rate Effect for 18 consecutive years, with -$24.1 million the latest figure, recorded in Q2 2026.
- On a quarterly basis, Exchange Rate Effect fell 148.2% year-over-year to -$24.1 million in Q2 2026; TTM through Jun 2026 was -$37.8 million, a 201.34% decrease from a year earlier, with the FY2026 full-year figure at -$37.8 million, down 201.34% from the prior year.
- Exchange Rate Effect was -$24.1 million for Q2 2026 at Automatic Data Processing, up from -$42.5 million in the prior quarter.
- Over five years, Exchange Rate Effect peaked at $50.0 million in Q2 2025 and troughed at -$84.5 million in Q2 2022.
- A 5-year average of -$6.8 million and a median of -$3.7 million in 2023 frame the typical range for Exchange Rate Effect.
- Across the five-year window, Exchange Rate Effect surged 6666.67% in 2022 and slumped 3657.14% in 2024, its largest moves.
- Over 5 years, Exchange Rate Effect stood at $20.3 million in 2022, then jumped by 32.51% to $26.9 million in 2023, then slumped by 299.63% to -$53.7 million in 2024, then soared by 166.11% to $35.5 million in 2025, then sank by 167.89% to -$24.1 million in 2026.
- The last three Exchange Rate Effect figures came in at -$24.1 million (Q2 2026), -$42.5 million (Q1 2026), and $35.5 million (Q4 2025), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 460.85 Bn | 451.55 Bn | 1.64 Bn | 292,000.00 |
| 2 | Oracle | 437.09 Bn | 400.44 Bn | - | 11.00 Mn |
| 3 | Sap Se | 258.74 Bn | 237.66 Bn | 8.40 Bn | -43.01 Mn |
| 4 | Salesforce | 195.52 Bn | 184.12 Bn | 8.70 Bn | -75.00 Mn |
| 5 | ServiceNow | 145.61 Bn | 140.94 Bn | 2.82 Bn | - |
| 6 | Automatic Data Processing | 104.89 Bn | 100.66 Bn | 2.51 Bn | -24.10 Mn |
| 7 | Intuit | 76.97 Bn | 69.77 Bn | 3.46 Bn | -11.00 Mn |
| 8 | Relx | 60.41 Bn | 60.04 Bn | - | - |
| 9 | Strategy | 57.09 Bn | 54.64 Bn | 81.55 Mn | -518,000.00 |
| 10 | Workday | 46.40 Bn | 42.99 Bn | 2.21 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | -21.20 Mn |
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();