Automatic Data Processing (ADP) Price to Book (2009 - 2026)
Automatic Data Processing's (ADP) quarterly Price to Book came in at 14.77 in Q2 2026, down 26.87% year-over-year from 20.2 in Q2 2025, and up 15.24% quarter-over-quarter from 12.82 in Q1 2026.
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Analysis
Automatic Data Processing (ADP) Price to Book (2009 - 2026) Analysis & Trends
Automatic Data Processing (ADP) has reported Price to Book for 18 consecutive years, with 14.77 the latest figure, recorded in Q2 2026.
- On a quarterly basis, Price to Book fell 26.87% year-over-year to 14.77 in Q2 2026; TTM through Jun 2026 was 14.77, a 26.87% decrease from a year earlier, with the FY2026 full-year figure at 14.77, down 26.87% from the prior year.
- Price to Book was 14.77 for Q2 2026 at Automatic Data Processing, up from 12.82 in the prior quarter.
- Over five years, Price to Book peaked at 36.45 in Q3 2022 and troughed at 12.82 in Q1 2026.
- A 5-year average of 22.93 and a median of 22.14 in 2023 frame the typical range for Price to Book.
- Across the five-year window, Price to Book surged 131.18% in 2022 and sank 39.54% in 2026, its largest moves.
- Over 5 years, Price to Book stood at 33.14 in 2022, then sank by 33.16% to 22.15 in 2023, then rose by 5.89% to 23.46 in 2024, then sank by 30.87% to 16.22 in 2025, then retreated by 8.91% to 14.77 in 2026.
- The last three Price to Book figures came in at 14.77 (Q2 2026), 12.82 (Q1 2026), and 16.22 (Q4 2025), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 460.85 Bn | 451.55 Bn | 1.64 Bn |
| 2 | Oracle | 437.09 Bn | 400.44 Bn | - |
| 3 | Sap Se | 258.74 Bn | 237.66 Bn | 8.40 Bn |
| 4 | Salesforce | 195.52 Bn | 184.12 Bn | 8.70 Bn |
| 5 | ServiceNow | 145.61 Bn | 140.94 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 104.89 Bn | 100.66 Bn | 2.51 Bn |
| 7 | Intuit | 76.97 Bn | 69.77 Bn | 3.46 Bn |
| 8 | Relx | 60.41 Bn | 60.04 Bn | - |
| 9 | Strategy | 57.09 Bn | 54.64 Bn | 81.55 Mn |
| 10 | Workday | 46.40 Bn | 42.99 Bn | 2.21 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.77 |
| Mar 31, 2026 | 12.82 |
| Dec 31, 2025 | 16.22 |
| Sep 30, 2025 | 18.64 |
| Jun 30, 2025 | 20.20 |
| Mar 31, 2025 | 21.20 |
| Dec 31, 2024 | 23.46 |
| Sep 30, 2024 | 21.09 |
| Jun 30, 2024 | 21.42 |
| Mar 31, 2024 | 22.12 |
| Dec 31, 2023 | 22.15 |
| Sep 30, 2023 | 28.52 |
| Jun 30, 2023 | 25.81 |
| Mar 31, 2023 | 24.92 |
| Dec 31, 2022 | 33.14 |
| Sep 30, 2022 | 36.45 |
| Jun 30, 2022 | 27.10 |
| Mar 31, 2022 | 22.69 |
| Dec 31, 2021 | 20.53 |
| Sep 30, 2021 | 15.77 |
API Access
Automatic Data Processing Price to Book 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=price-to-book&ticker=ADP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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=price-to-book&ticker=ADP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();