Automatic Data Processing (ADP) Price to Book (2009 - 2026)
Automatic Data Processing's (ADP) Price to Book came in at 20.16 for fiscal Q1 2027 (quarter ended Sep 30, 2026), up 8.1% from 18.64 a year earlier and up 36.5% from the prior quarter.
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Analysis
Automatic Data Processing (ADP) Price to Book (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Automatic Data Processing's Price to Book stood at 14.77, down 26.9% from FY2025.
- 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%).
- The fiscal Q1 2027 figure stands as the highest quarterly Price to Book since fiscal Q4 2025.
- On a year-over-year basis, Price to Book increased in two of the last eight quarters, with an average decline of 13.1%.
- 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 14.77 (Q4 2026), 12.82 (Q3 2026) and 16.22 (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 372.99 Bn | 337.93 Bn | 1.93 Bn |
| 2 | Oracle | 347.94 Bn | 220.50 Bn | - |
| 3 | Sap Se | 299.08 Bn | 227.06 Bn | 8.64 Bn |
| 4 | Salesforce | 183.01 Bn | 138.88 Bn | 8.70 Bn |
| 5 | Automatic Data Processing | 121.50 Bn | 108.30 Bn | 2.53 Bn |
| 6 | ServiceNow | 106.24 Bn | 85.50 Bn | 2.90 Bn |
| 7 | Intuit | 95.23 Bn | 74.58 Bn | 3.44 Bn |
| 8 | Relx | 75.40 Bn | 74.52 Bn | - |
| 9 | Thomson Reuters | 52.55 Bn | 48.52 Bn | - |
| 10 | Strategy | 52.02 Bn | 39.16 Bn | 89.63 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 20.16 |
| 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 |
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();