Automatic Data Processing (ADP) EBITDA (2009 - 2026)
Automatic Data Processing's (ADP) quarterly EBITDA came in at -$1.8 billion in Q2 2026, down 5.84% year-over-year from -$1.9 billion in Q2 2025, and down 33.64% quarter-over-quarter from -$1.4 billion in Q1 2026.
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Analysis
Automatic Data Processing (ADP) EBITDA (2009 - 2026) Analysis & Trends
Automatic Data Processing (ADP) has reported EBITDA for 18 consecutive years, with -$1.8 billion the latest figure, recorded in Q2 2026.
- On a quarterly basis, EBITDA fell 5.84% year-over-year to -$1.8 billion in Q2 2026; TTM through Jun 2026 was -$6.4 billion, a 4.87% decrease from a year earlier, with the FY2026 full-year figure at -$6.4 billion, down 4.87% from the prior year.
- EBITDA was -$1.8 billion for Q2 2026 at Automatic Data Processing, down from -$1.4 billion in the prior quarter.
- Over five years, EBITDA peaked at -$1.3 billion in Q1 2024 and troughed at -$1.8 billion in Q2 2026.
- A 5-year average of -$1.5 billion and a median of -$1.5 billion in 2023 frame the typical range for EBITDA.
- Across the five-year window, EBITDA decreased 9.47% in 2022 and increased 3.8% in 2023, its largest moves.
- Over 5 years, EBITDA stood at -$1.4 billion in 2022, then declined by 4.18% to -$1.5 billion in 2023, then decreased by 6.05% to -$1.6 billion in 2024, then slipped by 2.54% to -$1.6 billion in 2025, then retreated by 13.16% to -$1.8 billion in 2026.
- The last three EBITDA figures came in at -$1.8 billion (Q2 2026), -$1.4 billion (Q1 2026), and -$1.6 billion (Q4 2025), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 460.85 Bn | 451.55 Bn | 1.64 Bn | 912.00 Mn |
| 2 | Oracle | 437.09 Bn | 400.44 Bn | - | 6.73 Bn |
| 3 | Sap Se | 258.74 Bn | 237.66 Bn | 8.40 Bn | 3.07 Bn |
| 4 | Salesforce | 195.52 Bn | 184.12 Bn | 8.70 Bn | 2.33 Bn |
| 5 | ServiceNow | 145.61 Bn | 140.94 Bn | 2.82 Bn | 162.00 Mn |
| 6 | Automatic Data Processing | 104.89 Bn | 100.66 Bn | 2.51 Bn | -1.82 Bn |
| 7 | Intuit | 76.97 Bn | 69.77 Bn | 3.46 Bn | 475.00 Mn |
| 8 | Relx | 60.41 Bn | 60.04 Bn | - | - |
| 9 | Strategy | 57.09 Bn | 54.64 Bn | 81.55 Mn | -8.33 Bn |
| 10 | Workday | 46.40 Bn | 42.99 Bn | 2.21 Bn | 313.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1.38 Bn |
| Mar 31, 2026 | -917.90 Mn |
| Dec 31, 2025 | -1.17 Bn |
| Sep 30, 2025 | -1.19 Bn |
| Jun 30, 2025 | -1.28 Bn |
| Mar 31, 2025 | -912.80 Mn |
| Dec 31, 2024 | -1.14 Bn |
| Sep 30, 2024 | -1.08 Bn |
| Jun 30, 2024 | -1.22 Bn |
| Mar 31, 2024 | -873.30 Mn |
| Dec 31, 2023 | -1.08 Bn |
| Sep 30, 2023 | -1.09 Bn |
| Jun 30, 2023 | -1.16 Bn |
| Mar 31, 2023 | -909.60 Mn |
| Dec 31, 2022 | -1.04 Bn |
| Sep 30, 2022 | -1.04 Bn |
| Jun 30, 2022 | -1.21 Bn |
| Mar 31, 2022 | -978.90 Mn |
| Dec 31, 2021 | -1.09 Bn |
| Sep 30, 2021 | -984.20 Mn |
API Access
Automatic Data Processing EBITDA 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=ebitda&ticker=ADP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=ADP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();