Workday (WDAY) Price to Book (2012 - 2026)
Workday's (WDAY) Price to Book came in at 5.99 for fiscal Q2 2027 (quarter ended Jul 31, 2026), down 10.3% from 6.67 a year earlier.
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Analysis
Workday (WDAY) Price to Book (2012 - 2026) Analysis & Trends
For FY2026 (ended Jan 31, 2026), Workday's Price to Book stood at 5.83, down 24.5% from FY2025.
- In prior fiscal years, Workday's Price to Book was 7.73 in FY2025 (-18.7%), 9.50 in FY2024 (+13.4%), 8.38 in FY2023 (-40.2%) and 14.02 in FY2022 (-16.8%).
- Quarterly Price to Book has run from a low of 5.83 in fiscal Q4 2026 to a high of 17.17 in fiscal Q3 2022 over five years.
- The strongest year-over-year quarter for Price to Book in the past five years was fiscal Q2 2024, with growth of 28.1%; the weakest was fiscal Q3 2023, with a decline of 56.9%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn |
| 10 | Workday | 45.49 Bn | 21.61 Bn | 2.00 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 5.99 |
| Jan 31, 2026 | 5.83 |
| Oct 31, 2025 | 7.14 |
| Jul 31, 2025 | 6.67 |
| Apr 30, 2025 | 7.32 |
| Jan 31, 2025 | 7.73 |
| Oct 31, 2024 | 7.20 |
| Jul 31, 2024 | 7.22 |
| Apr 30, 2024 | 7.95 |
| Jan 31, 2024 | 9.50 |
| Oct 31, 2023 | 8.39 |
| Jul 31, 2023 | 9.90 |
| Apr 30, 2023 | 8.16 |
| Jan 31, 2023 | 8.38 |
| Oct 31, 2022 | 7.39 |
| Jul 31, 2022 | 7.73 |
| Apr 30, 2022 | 10.97 |
| Jan 31, 2022 | 14.02 |
| Oct 31, 2021 | 17.17 |
| Jul 31, 2021 | 15.03 |
API Access
Workday 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=WDAY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "WDAY", "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=WDAY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();