Automatic Data Processing (ADP) Price to Book (2009 - 2026)
Automatic Data Processing's (ADP) Price to Book came in at 14.77 for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 26.9% from 20.20 a year earlier but up 15.2% from the prior quarter.
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Analysis
Automatic Data Processing (ADP) Price to Book (2009 - 2026) Analysis & Trends
Since fiscal Q4 2009, Automatic Data Processing has reported Price to Book for 69 quarters.
- Annual Price to Book has declined for four consecutive fiscal years.
- In prior fiscal years, Automatic Data Processing's Price to Book was 20.20 in FY2025 (-5.7%), 21.42 in FY2024 (-17.0%), 25.81 in FY2023 (-4.7%) and 27.10 in FY2022 (+82.6%).
- Quarterly Price to Book has run from a low of 12.82 in fiscal Q3 2026 to a high of 36.45 in fiscal Q1 2023 over five years.
- On a year-over-year basis, Price to Book has declined in each of the last six quarters, with an average decline of 17.4% over the last eight quarters.
- The strongest year-over-year quarter for Price to Book in the past five years was fiscal Q1 2023, with growth of 131.2%; the weakest was fiscal Q3 2026, with a decline of 39.5%.
- According to Business Quant data, Price to Book for the three prior fiscal quarters was 12.82 (Q3 2026), 16.22 (Q2 2026) and 18.64 (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 480.73 Bn | 449.68 Bn | 1.64 Bn |
| 2 | Oracle | 399.91 Bn | 272.04 Bn | - |
| 3 | Sap Se | 262.30 Bn | 190.08 Bn | 8.40 Bn |
| 4 | Salesforce | 202.26 Bn | 158.13 Bn | 8.70 Bn |
| 5 | ServiceNow | 153.84 Bn | 132.30 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 114.84 Bn | 96.97 Bn | 2.51 Bn |
| 7 | Intuit | 91.04 Bn | 70.38 Bn | 3.44 Bn |
| 8 | Relx | 70.51 Bn | 69.60 Bn | - |
| 9 | Strategy | 53.24 Bn | 46.23 Bn | 81.55 Mn |
| 10 | Thomson Reuters | 48.40 Bn | 45.18 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();