Automatic Data Processing (ADP) Change in Accured Expenses (2009 - 2026)
Automatic Data Processing's (ADP) quarterly Change in Accured Expenses came in at $200.0 million in Q2 2026, down 35.79% year-over-year from $311.5 million in Q2 2025, and down 76.17% quarter-over-quarter from $839.4 million in Q1 2026.
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Analysis
Automatic Data Processing (ADP) Change in Accured Expenses (2009 - 2026) Analysis & Trends
Automatic Data Processing (ADP) has reported Change in Accured Expenses for 18 consecutive years, with $200.0 million the latest figure, recorded in Q2 2026.
- On a quarterly basis, Change in Accured Expenses fell 35.79% year-over-year to $200.0 million in Q2 2026; TTM through Jun 2026 was $410.1 million, a 41.12% increase from a year earlier, with the FY2026 full-year figure at $410.1 million, up 41.12% from the prior year.
- Change in Accured Expenses was $200.0 million for Q2 2026 at Automatic Data Processing, down from $839.4 million in the prior quarter.
- Over five years, Change in Accured Expenses peaked at $839.4 million in Q1 2026 and troughed at -$376.2 million in Q3 2025.
- A 5-year average of $110.1 million and a median of $158.0 million in 2022 frame the typical range for Change in Accured Expenses.
- Across the five-year window, Change in Accured Expenses soared 1593.78% in 2023 and plunged 218.88% in 2025, its largest moves.
- Over 5 years, Change in Accured Expenses stood at $116.0 million in 2022, then jumped by 99.57% to $231.5 million in 2023, then dropped by 8.03% to $212.9 million in 2024, then sank by 218.88% to -$253.1 million in 2025, then surged by 179.02% to $200.0 million in 2026.
- The last three Change in Accured Expenses figures came in at $200.0 million (Q2 2026), $839.4 million (Q1 2026), and -$253.1 million (Q4 2025), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 460.85 Bn | 451.55 Bn | 1.64 Bn | 7.31 Mn |
| 2 | Oracle | 437.09 Bn | 400.44 Bn | - | -1.08 Bn |
| 3 | Sap Se | 258.74 Bn | 237.66 Bn | 8.40 Bn | -354.52 Mn |
| 4 | Salesforce | 195.52 Bn | 184.12 Bn | 8.70 Bn | 891.00 Mn |
| 5 | ServiceNow | 145.61 Bn | 140.94 Bn | 2.82 Bn | 280.00 Mn |
| 6 | Automatic Data Processing | 104.89 Bn | 100.66 Bn | 2.51 Bn | 200.00 Mn |
| 7 | Intuit | 76.97 Bn | 69.77 Bn | 3.46 Bn | 35.00 Mn |
| 8 | Relx | 60.41 Bn | 60.04 Bn | - | - |
| 9 | Strategy | 57.09 Bn | 54.64 Bn | 81.55 Mn | -2.04 Mn |
| 10 | Workday | 46.40 Bn | 42.99 Bn | 2.21 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 200.00 Mn |
| Mar 31, 2026 | 839.40 Mn |
| Dec 31, 2025 | -253.10 Mn |
| Sep 30, 2025 | -376.20 Mn |
| Jun 30, 2025 | 311.50 Mn |
| Mar 31, 2025 | 89.60 Mn |
| Dec 31, 2024 | 212.90 Mn |
| Sep 30, 2024 | -323.40 Mn |
| Jun 30, 2024 | 353.70 Mn |
| Mar 31, 2024 | 216.30 Mn |
| Dec 31, 2023 | 231.50 Mn |
| Sep 30, 2023 | -308.60 Mn |
| Jun 30, 2023 | 326.90 Mn |
| Mar 31, 2023 | 53.10 Mn |
| Dec 31, 2022 | 116.00 Mn |
| Sep 30, 2022 | -194.70 Mn |
| Jun 30, 2022 | 19.30 Mn |
| Mar 31, 2022 | 467.00 Mn |
| Dec 31, 2021 | 50.50 Mn |
| Sep 30, 2021 | -413.80 Mn |
API Access
Automatic Data Processing Change in Accured Expenses 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=change-in-accured-expenses&ticker=ADP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=ADP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();